Ticket #4767: SCIU04006_V2B.srt

File SCIU04006_V2B.srt, 47.7 KB (added by Marcelo Naumann Boufleur, 11 years ago)

Newer version of SRT file, with fixes to Subrip syntax, and proper Timecode conversion from the SCC version.

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3♪♪ [THEME MUSIC] ♪♪
4
52
600:00:16,700 --> 00:00:20,333
7>>>CAROL ANNE RIDDELL:
8I'm Carol Anne Riddell
9
103
1100:00:20,600 --> 00:00:22,600
12and this is Science & U!
13
144
1500:00:22,600 --> 00:00:23,600
16Today we're
17talking about our home,
18
195
2000:00:23,600 --> 00:00:25,600
21planet Earth, a place
22both familiar and wildly
23
246
2500:00:25,600 --> 00:00:28,600
26undiscovered for most of
27us. We begin with water.
28
297
3000:00:28,600 --> 00:00:31,834
31It is central to our
32existence and yet in many
33
348
3500:00:31,834 --> 00:00:34,734
36ways our oceans remain
37largely unexplored even
38
399
4000:00:34,734 --> 00:00:37,200
41though they produce 70%
42of the Earth's oxygen and
43
4410
4500:00:37,200 --> 00:00:41,000
46billions of people rely on
47oceans for their livelihood.
48
4911
5000:00:41,133 --> 00:00:45,033
51Fabien Cousteau, grandson
52of legendary ocean
53
5412
5500:00:45,033 --> 00:00:47,734
56explorer Jacques Cousteau,
57wants to change that with
58
5913
6000:00:47,734 --> 00:00:50,867
61an ambitious project
62to raise awareness.
63
6414
6500:00:50,867 --> 00:00:53,400
66Living in an underwater marine
67laboratory for thirty-one days.
68
6915
7000:00:53,834 --> 00:00:57,834
71He spoke to our Vianora
72Vinca about the experience.
73
7416
7500:00:58,433 --> 00:01:00,233
76>>>FABIEN COUSTEAU: I'm
77glad that we all came out
78
7917
8000:01:02,467 --> 00:01:04,200
81of it in one piece.
82
8318
8400:01:04,200 --> 00:01:05,400
85You know there were a
86lot of uncertainties.
87
8819
8900:01:05,400 --> 00:01:08,834
90This was a theory really,
91the project itself,
92
9320
9400:01:08,834 --> 00:01:12,600
95as epic as it was and
96based on real science and
97
9821
9900:01:12,600 --> 00:01:16,333
100history, as it was,
101still was a theory.
102
10322
10400:01:16,333 --> 00:01:18,400
105The theory was let's do
106this crazy mission and see
107
10823
10900:01:20,266 --> 00:01:24,200
110if people are still
111interested in the oceans.
112
11324
11400:01:24,200 --> 00:01:26,200
115>>>VIANORA VINCA: Dubbed
116Mission 31 the endeavor
117
11825
11900:01:26,200 --> 00:01:28,600
120took place 9 miles off the
121coast of the Florida Keys
122
12326
12400:01:28,600 --> 00:01:31,734
125and 63 feet below the
126ocean surface where
127
12827
12900:01:31,734 --> 00:01:35,633
130Aquarius, the last existing
131underwater marine research
132
13328
13400:01:35,633 --> 00:01:39,500
135lab or underwater human habitat
136sits, on the ocean floor.
137
13829
13900:01:40,100 --> 00:01:44,000
140>>>FABIEN COUSTEAU: In
141history there have been
142
14330
14400:01:44,000 --> 00:01:46,367
145habitats built certainly
146first by my grandfather
147
14831
14900:01:46,367 --> 00:01:49,333
150and others in the
15160's.
152
15332
15400:01:49,333 --> 00:01:51,066
155There were several
156dozen in history.
157
15833
15900:01:51,066 --> 00:01:54,233
160In the 80's things
161changed and underwater habitats
162
16334
16400:01:55,667 --> 00:01:59,567
165disappear, and I think
166that's a huge travesty
167
16835
16900:01:59,567 --> 00:02:02,000
170because we've explored
171less than 5% of our oceans.
172
17336
17400:02:02,000 --> 00:02:06,100
175>>>VIANORA VINCA: Since then
176even with underwater exploration
177
17837
17900:02:06,100 --> 00:02:09,133
180technology continuously
181evolving Fabien Cousteau
182
18338
18400:02:09,133 --> 00:02:12,500
185says there's nothing like living
186in an underwater human habitat
187
18839
18900:02:12,500 --> 00:02:16,367
190and being able to explore the
191marine environment first hand.
192
19340
19400:02:17,100 --> 00:02:21,000
195>>>FABIEN COUSTEAU: A
196habitat immerses you in
197
19841
19900:02:21,000 --> 00:02:22,800
200the environment and you
201become very tactile and
202
20342
20400:02:23,500 --> 00:02:27,567
205your senses are very much
206attuned to that environment,
207
20843
20900:02:27,567 --> 00:02:31,233
210which is invaluable when
211you're trying to assess things.
212
21344
21400:02:31,233 --> 00:02:33,700
215>>>INSTRUCTOR: We're going to do
216a test. Where's your EGS valve?
217
21845
21900:02:35,033 --> 00:02:36,100
220Steady flow valve? Good to go.
221
22246
22300:02:38,633 --> 00:02:40,700
224>>>FABIEN COUSTEAU: I
225picked some young aspiring
226
22747
22800:02:41,667 --> 00:02:44,300
229marine biologists to
230be able to encompass a
231
23248
23300:02:44,300 --> 00:02:47,567
234nice rounded team that
235could give a foray into
236
23749
23800:02:48,633 --> 00:02:52,667
239robotics engineering, into
240marine biology and science
241
24250
24300:02:52,667 --> 00:02:56,333
244in general, so that we
245could get a good picture
246
24751
24800:02:56,333 --> 00:02:59,834
249of what the next
250generation of ocean
251
25252
25300:02:59,834 --> 00:03:02,767
254explorers and
255aquanauts could be.
256
25753
25800:03:18,967 --> 00:03:22,934
259>>>FABIEN COUSTEAU: This
260is our scientist and this
261
26254
26300:03:22,934 --> 00:03:24,033
264is one of our technicians
265and they're going out to
266
26755
26800:03:24,033 --> 00:03:25,867
269one of our sites to bring
270some of the sea grass to
271
27256
27300:03:27,100 --> 00:03:31,066
274plant around the, there's
275a sea grass right there,
276
27757
27800:03:31,066 --> 00:03:34,433
279to put around where
280the predator prey fear
281
28258
28300:03:34,867 --> 00:03:38,300
284behavior models are.
285
28659
28700:03:38,300 --> 00:03:40,200
288And we were studying the
289effects of the absence of
290
29160
29200:03:40,934 --> 00:03:44,767
293predators on the
294coral reef with regard to
295
29661
29700:03:44,767 --> 00:03:47,467
298biodiversity and that
299really goes into the
300
30162
30200:03:47,467 --> 00:03:50,633
303subject of over fishing and how
304we're taking away a lot of these
305
30663
30700:03:51,367 --> 00:03:55,333
308essential creatures that
309make coral reefs healthy.
310
31164
31200:03:55,734 --> 00:03:59,567
313>>>GRACE YOUNG: We
314actually just got back
315
31665
31700:03:59,567 --> 00:04:00,734
318from the dive,
319hence the wet hair,
320
32166
32200:04:00,734 --> 00:04:02,967
323and it went really well.
324
32567
32600:04:02,967 --> 00:04:04,934
327It took us about 45
328minutes to set up the camera.
329
33068
33100:04:04,934 --> 00:04:08,967
332We're using a lens that
333has a really narrow focus
334
33569
33600:04:09,266 --> 00:04:13,300
337so we can see the details
338of these little critters.
339
34070
34100:04:13,300 --> 00:04:15,867
342>>>FABIEN COUSTEAU: No, no,
343no, don't move the camera.
344
34571
34600:04:15,867 --> 00:04:18,033
347Just let me know when he
348spits so I can push the trigger.
349
35072
35100:04:18,033 --> 00:04:21,500
352>>>GRACE YOUNG:
353Okay, I'll let you know.
354
35573
35600:04:21,500 --> 00:04:22,600
357>>>LIZ MAGEE: But after
35845 minutes we got it.
359
36074
36100:04:22,600 --> 00:04:24,467
362There's a lot of critters that
363just move really fast and only
364
36575
36600:04:24,467 --> 00:04:28,233
367with a camera can we see the
368details of their movements.
369
37076
37100:04:33,100 --> 00:04:36,867
372So it was a pretty
373good day and all.
374
37577
37600:04:36,867 --> 00:04:39,100
377>>>GRACE YOUNG:
378Really great day.
379
38078
38100:04:39,100 --> 00:04:39,800
382>>>LIZ MAGEE: High-five.
383
38479
38500:04:40,867 --> 00:04:42,767
386>>>FABIEN COUSTEAU: We were
387able to do over three years
388
38980
39000:04:42,767 --> 00:04:45,800
391of science in 31 days and that
392in itself was invaluable.
393
39481
39500:04:46,667 --> 00:04:50,567
396>>>MAN: Here we go. End of
397Mission 31 Alpha.
398
39982
40000:04:50,567 --> 00:04:53,400
401>>>VIANORA VINCA: After spending
402a full month at the worlds
403
40483
40500:04:53,400 --> 00:04:55,700
406final frontier, as Cousteau
407likes to call the underseas,
408
40984
41000:04:55,700 --> 00:04:59,867
411coming back on land was yet
412another challenging experience
413
41485
41500:04:59,867 --> 00:05:03,233
416he had to brace up for.
417
41886
41900:05:03,233 --> 00:05:04,734
420>>>FABIEN COUSTEAU: It was a bit
421of an unraveling experience-
422
42387
42400:05:04,734 --> 00:05:07,166
425for the last seven days of
426Mission 31 I was dreading coming
427
42888
42900:05:07,166 --> 00:05:11,100
430back up because I had gotten so
431used to being underwater in
432
43389
43400:05:11,900 --> 00:05:15,934
435the worlds only undersea
436laboratory, it became my home.
437
43890
43900:05:15,934 --> 00:05:18,934
440And fish became our neighbors
441and we became very
442
44391
44400:05:18,934 --> 00:05:21,867
445accustomed to what that meant.
446I'm torn. I'm really happy to
447
44892
44900:05:23,300 --> 00:05:27,300
450be back up to the surface to see
451friends and family.
452
45393
45400:05:27,300 --> 00:05:30,600
455I'm a little sad to be leaving
456our home for the last month
457
45894
45900:05:32,367 --> 00:05:35,934
460but it was pretty awesome.
461
46295
46300:05:35,934 --> 00:05:37,600
464>>>VIANORA VINCA: For Science
465& U! I'm Vianora Vinca.
466
46796
46800:05:38,200 --> 00:05:39,667
469>>>CAROL ANNE RIDDELL:
470Gray whales have not
471
47297
47300:05:42,066 --> 00:05:43,333
474inhabited the Atlantic
475Ocean for the past three
476
47798
47800:05:43,333 --> 00:05:45,567
479hundred years however
480in the past five years
481
48299
48300:05:45,567 --> 00:05:48,800
484sightings in bodies of
485water connected to the
486
487100
48800:05:48,800 --> 00:05:51,300
489Atlantic have led
490scientists to speculate
491
492101
49300:05:51,300 --> 00:05:53,533
494these whales may be
495migrating through melting
496
497102
49800:05:53,533 --> 00:05:56,033
499ice in the polar regions.
500Andrew Falzon tells us more.
501
502103
50300:05:58,100 --> 00:06:01,700
504>>>HOWARD ROSENBAUM: As a
505population gray whales in the
506
507104
50800:06:01,700 --> 00:06:03,633
509Atlanta went extinct
510several hundred years ago.
511
512105
51300:06:03,633 --> 00:06:07,000
514>>>ANDREW FALZON: Dr. Howard
515Rosenbaum directs the Ocean
516
517106
51800:06:07,000 --> 00:06:09,533
519Giant's program for the Wildlife
520Conservation Society.
521
522107
52300:06:09,533 --> 00:06:13,233
524Measuring upwards of fifty
525feet in length and up to
526
527108
52800:06:13,233 --> 00:06:15,800
529forty tons in weight grey
530whales are some of the
531
532109
53300:06:15,800 --> 00:06:18,834
534largest
535animals alive today.
536
537110
53800:06:18,834 --> 00:06:21,200
539These gigantic creatures
540live in the Pacific Ocean
541
542111
54300:06:21,200 --> 00:06:23,834
544in two distinct groups.
545
546112
54700:06:23,834 --> 00:06:26,500
548>>>HOWARD ROSENBAUM: So
549the gray whales off the
550
551113
55200:06:26,500 --> 00:06:28,834
553coast of Russia are called
554the western gray whales
555
556114
55700:06:28,834 --> 00:06:32,734
558and they are a highly
559endangered population
560
561115
56200:06:32,734 --> 00:06:36,533
563genetically distinct
564from the animals that are
565
566116
56700:06:36,533 --> 00:06:39,567
568called the eastern north
569pacific gray whales for
570
571117
57200:06:39,567 --> 00:06:42,200
573which there's a good
574census and recovery
575
576118
57700:06:42,200 --> 00:06:44,900
578laws such as the
579
580119
58100:06:44,900 --> 00:06:48,100
582U.S. Endangered Species
583Act, the Marine Mammal Protection Act, have
584promoted the recovery of
585
586120
58700:06:48,100 --> 00:06:50,200
588those animals from
589very low numbers several
590
591121
59200:06:50,200 --> 00:06:52,700
593decades ago to more
594than twenty five thousand
595
596122
59700:06:52,700 --> 00:06:56,233
598animals in the
599population today.
600
601123
60200:06:56,233 --> 00:06:58,767
603>>>ANDREW FALZON: But in
6042010 this video stunned
605
606124
60700:06:58,767 --> 00:07:01,000
608whale researchers
609across the globe.
610
611125
61200:07:01,000 --> 00:07:03,433
613It shows a gray whale swimming
614off the coast of Israel. Then in
615
616126
61700:07:03,433 --> 00:07:06,700
6182013 another whale was spotted
619off the coast Namibia in Africa.
620
621127
62200:07:08,133 --> 00:07:12,033
623The scientific community
624was so surprised by the
625
626128
62700:07:12,033 --> 00:07:14,767
628photos many
629thought they were fake.
630
631129
63200:07:14,767 --> 00:07:17,000
633But after they were
634authenticated scientists
635
636130
63700:07:17,000 --> 00:07:19,667
638began to hypothesize.
639
640131
64100:07:19,667 --> 00:07:21,433
642They thought climate change
643might be part of the equation.
644
645132
64600:07:21,433 --> 00:07:24,700
647>>>HOWARD ROSENBAUM:
648Now as we consider what's
649
650133
65100:07:24,700 --> 00:07:28,166
652happening with climate
653change and leads opening
654
655134
65600:07:28,166 --> 00:07:32,033
657up in the Arctic and
658animals being able to move
659
660135
66100:07:32,033 --> 00:07:34,633
662through the Arctic, in
663particular ice free zones,
664
665136
66600:07:34,633 --> 00:07:37,767
667that these animals may
668migrate from the Pacific
669
670137
67100:07:38,166 --> 00:07:41,500
672to the Atlantic.
673
674138
67500:07:41,500 --> 00:07:43,667
676>>>LIZ ALTER: Phylogenomics
677is the study of using D.N.A.
678
679139
68000:07:44,600 --> 00:07:48,433
681to reconstruct
682evolutionary relationships
683
684140
68500:07:48,433 --> 00:07:50,867
686between organisms
687and between species.
688
689141
69000:07:50,867 --> 00:07:53,834
691>>>ANDREW FALZON: Dr.
692Liz Alter is an assistant
693
694142
69500:07:53,834 --> 00:07:55,467
696professor of biology at
697the City University of
698
699143
70000:07:55,467 --> 00:07:58,233
701New York's York College
702and Graduate Center.
703
704144
70500:07:58,233 --> 00:08:01,200
706She's part of the
707team that used D.N.A.
708
709145
71000:08:01,200 --> 00:08:03,433
711to examine whether or not
712the now extinct Atlantic
713
714146
71500:08:03,433 --> 00:08:06,367
716grey whales migrated
717from the Pacific Ocean.
718
719147
72000:08:06,367 --> 00:08:09,700
721Prior to this study
722there was no known genetic
723
724148
72500:08:09,700 --> 00:08:12,133
726information on
727Atlantic gray whales.
728
729149
73000:08:12,133 --> 00:08:14,633
731Sources of Atlantic
732gray whale D.N.A.
733
734150
73500:08:14,633 --> 00:08:17,000
736are hard to come by and
737show how science can come
738
739151
74000:08:17,000 --> 00:08:19,600
741from some very
742unusual sources.
743
744152
74500:08:19,600 --> 00:08:22,333
746>>>LIZ ALTER: So
747occasionally fishermen who
748
749153
75000:08:22,333 --> 00:08:23,834
751are trolling the North Sea
752will pull up a big chunk
753
754154
75500:08:23,834 --> 00:08:25,934
756of whalebone and if they
757don't feel like throwing
758
759155
76000:08:25,934 --> 00:08:29,700
761it back overboard and
762if they're a little bit
763
764156
76500:08:29,700 --> 00:08:31,633
766curious about it,
767they'll bring it back and
768
769157
77000:08:31,633 --> 00:08:33,266
771eventually it makes its
772way to a museum and then
773
774158
77500:08:33,266 --> 00:08:35,834
776eventually to us where
777we can extract D.N.A.
778
779159
78000:08:35,834 --> 00:08:38,333
781from it and sequence it.
782
783160
78400:08:38,333 --> 00:08:40,767
785>>>ANDREW FALZON: This
786allowed Alter to confirm
787
788161
78900:08:40,767 --> 00:08:42,467
790that the now extinct
791Atlantic gray whales
792
793162
79400:08:42,467 --> 00:08:44,767
795migrated from the Pacific
796to the Atlantic during the
797
798163
79900:08:44,767 --> 00:08:47,800
800warmer periods about ten
801thousand years B.C. They
802
803164
80400:08:47,800 --> 00:08:51,700
805realized that climate change has
806created similar conditions.
807
808165
80900:08:52,700 --> 00:08:56,500
810>>>LIZ ALTER: We all
811started to wonder,
812
813166
81400:08:56,500 --> 00:08:58,734
815OK well why is it that
816gray whales are showing up
817
818167
81900:08:58,734 --> 00:09:01,967
820in the Atlantic now
821after this long hiatus?
822
823168
82400:09:01,967 --> 00:09:05,200
825And of course the
826immediate thing everyone
827
828169
82900:09:05,200 --> 00:09:08,900
830starts to think about is
831the decline in Arctic sea ice.
832
833170
83400:09:08,900 --> 00:09:11,934
835>>>ANDREW FALZON: Since
836certain polar regions have
837
838171
83900:09:11,934 --> 00:09:13,734
840experienced significant
841ice melt as a result of
842
843172
84400:09:13,734 --> 00:09:16,633
845climate change scientists
846believe that the whales
847
848173
84900:09:16,633 --> 00:09:19,333
850were able to pass into the
851Atlantic but caution it
852
853174
85400:09:19,333 --> 00:09:22,633
855doesn't mean the climate
856change is a good thing.
857
858175
85900:09:22,633 --> 00:09:26,000
860>>>HOWARD ROSENBAUM: Just
861because climate change is
862
863176
86400:09:26,000 --> 00:09:27,467
865in essence facilitating
866you know a movement of one
867
868177
86900:09:27,467 --> 00:09:30,934
870population or another does
871not mean it's positive.
872
873178
87400:09:30,934 --> 00:09:33,767
875In fact there are really
876Arctic dependent species
877
878179
87900:09:33,767 --> 00:09:36,800
880that will suffer
881due to warming seas.
882
883180
88400:09:36,800 --> 00:09:38,867
885>>>ANDREW FALZON: I'm
886Andrew Falzon for Science & U!
887
888181
88900:09:40,633 --> 00:09:42,133
890>>>CAROL ANNE RIDDELL: As
891you can see here at Inwood
892
893182
89400:09:44,667 --> 00:09:45,967
895Hill Park even we urban dwellers
896are surrounded by nature.
897
898183
89900:09:45,967 --> 00:09:49,700
900Our next story is about
901the struggle between the
902
903184
90400:09:49,700 --> 00:09:52,133
905natural world and
906the manmade one.
907
908185
90900:09:52,133 --> 00:09:54,333
910Our Tinabeth Pina sat down
911with Ted Steinberg author
912
913186
91400:09:54,333 --> 00:09:57,500
915of Gotham Unbound.
916
917187
91800:09:57,500 --> 00:09:58,900
919>>>TED STEINBERG: Greater
920New York's one of the most
921
922188
92300:10:01,433 --> 00:10:03,233
924altered environments on
925the face of the earth.
926
927189
92800:10:03,233 --> 00:10:05,934
929It's not an accident that
930Manhattan today is some
931
932190
93300:10:05,934 --> 00:10:09,700
934seventeen hundred football
935fields larger than it was
936
937191
93800:10:09,700 --> 00:10:13,200
939estimated to be back at
940the time that Henry Hudson
941
942192
94300:10:13,200 --> 00:10:16,533
944came to visit in 1609.
945
946193
94700:10:16,533 --> 00:10:19,567
948>>>TINABETH PINA: How did
949New York City become one of the
950
951194
95200:10:19,567 --> 00:10:21,867
953most dramatically transformed
954pieces of land in the world?
955
956195
95700:10:23,133 --> 00:10:27,033
958>>>TED STEINBERG: Back
959in the 1680's when the
960
961196
96200:10:27,033 --> 00:10:29,467
963British created a market in
964underwater land into something
965
966197
96700:10:30,033 --> 00:10:34,066
968that could be bought and
969sold just like anything else.
970
971198
97200:10:34,066 --> 00:10:37,033
973The British colonists
974paved the way for the
975
976199
97700:10:37,033 --> 00:10:39,834
978enormous expansion of New
979York at the expense of the sea.
980
981200
98200:10:40,700 --> 00:10:44,567
983Another major turning
984point in New York's
985
986201
98700:10:44,567 --> 00:10:47,500
988environmental history
989happened in the middle of
990
991202
99200:10:47,500 --> 00:10:50,333
993the nineteenth century
994when the city turned to
995
996203
99700:10:50,467 --> 00:10:54,500
998sources of water located
999outside the local environment.
1000
1001204
100200:10:54,734 --> 00:10:58,633
1003First they turn and tap
1004the waters of the Croton
1005
1006205
100700:10:58,633 --> 00:11:02,533
1008Watershed and then the
1009powers that be went on to
1010
1011206
101200:11:02,533 --> 00:11:05,767
1013conquer the waters of
1014the Catskills and the Delaware.
1015
1016207
101700:11:06,533 --> 00:11:10,433
1018By turning to outside
1019sources of water one of
1020
1021208
102200:11:10,433 --> 00:11:13,100
1023the by products of this is
1024that they could now pave
1025
1026209
102700:11:13,100 --> 00:11:16,734
1028over the natural
1029features of the land.
1030
1031210
103200:11:16,734 --> 00:11:19,033
1033Brooks, springs, ponds to
1034supply the inhabitants of
1035
1036211
103700:11:19,934 --> 00:11:23,834
1038Manhattan with water and
1039this incredible natural
1040
1041212
104200:11:24,033 --> 00:11:27,967
1043density gave way to
1044enormous unnatural density
1045
1046213
104700:11:29,100 --> 00:11:33,066
1048by which I mean instead
1049of oysters now you had all
1050
1051214
105200:11:33,066 --> 00:11:36,433
1053these human beings
1054pack, jam packed,
1055
1056215
105700:11:36,433 --> 00:11:38,467
1058into the New York
1059metropolitan area.
1060
1061216
106200:11:38,467 --> 00:11:40,333
106319 million people stuffed
1064into less than 1% of the
1065
1066217
106700:11:40,734 --> 00:11:44,367
1068land area of the
1069United States.
1070
1071218
107200:11:44,367 --> 00:11:47,000
1073>>>TINABETH PINA: So what
1074happened to
1075
1076219
107700:11:47,000 --> 00:11:47,967
1078those natural inhabitants?
1079
1080220
108100:11:47,967 --> 00:11:49,066
1082>>>TED STEINBERG: What
1083happened to the oyster
1084
1085221
108600:11:49,066 --> 00:11:51,367
1087reefs and the marshlands,
1088they were filled in as
1089
1090222
109100:11:51,367 --> 00:11:54,533
1092part of this major
1093reclamation process that
1094
1095223
109600:11:54,533 --> 00:11:57,033
1097was going on here to
1098make way for real estate,
1099
1100224
110100:11:57,367 --> 00:12:01,166
1102roads, parks and
1103of course airports.
1104
1105225
110600:12:01,166 --> 00:12:04,166
1107I mean, if you take a look
1108at a place like Jamaica Bay
1109
1110226
111100:12:04,166 --> 00:12:06,433
1112as late as 1900 there
1113was about twenty five
1114
1115227
111600:12:06,433 --> 00:12:08,967
1117hundred square miles
1118of marshland there.
1119
1120228
112100:12:08,967 --> 00:12:11,400
1122By 1910 the amount of
1123marshland in Jamaica Bay
1124
1125229
112600:12:11,400 --> 00:12:15,133
1127had been reduced to about
1128three square miles and the
1129
1130230
113100:12:15,133 --> 00:12:19,133
1132same thing went on
1133throughout the other major
1134
1135231
113600:12:19,133 --> 00:12:22,700
1137saltmarsh complexes throughout
1138the New York metro area.
1139
1140232
114100:12:23,000 --> 00:12:26,967
1142>>>TINABETH PINA: The
1143decision to transform the
1144
1145233
114600:12:26,967 --> 00:12:28,867
1147waterscape and landscape
1148to accommodate 6% of the
1149
1150234
115100:12:28,867 --> 00:12:32,000
1152nation's entire population
1153has had several serious
1154
1155235
115600:12:32,333 --> 00:12:35,967
1157implications for
1158New York City.
1159
1160236
116100:12:35,967 --> 00:12:38,400
1162>>>TED STEINBERG: New York
1163has been thumbing its nose
1164
1165237
116600:12:38,400 --> 00:12:40,133
1167at the sea for some 300
1168years and now the city is
1169
1170238
117100:12:42,300 --> 00:12:46,066
1172confronted with
1173global climate change,
1174
1175239
117600:12:46,066 --> 00:12:49,266
1177with the prospect of
1178increasing sea level.
1179
1180240
118100:12:49,266 --> 00:12:52,567
1182The mid range prediction
1183is that by the middle of
1184
1185241
118600:12:52,567 --> 00:12:56,400
1187the twenty first century
1188sea level around New York
1189
1190242
119100:12:56,767 --> 00:13:00,834
1192is going to increase
1193anywhere from 11 to 21 inches.
1194
1195243
119600:13:01,000 --> 00:13:05,100
1197New York is on a collision
1198course here with disaster and in
1199
1200244
120100:13:05,100 --> 00:13:08,734
1202particular with respect to the
1203issue of coastal flooding.
1204
1205245
120600:13:10,367 --> 00:13:14,500
1207Hurricane Sandy in 2012 was
1208most certainly a wake up call.
1209
1210246
121100:13:14,800 --> 00:13:18,667
1212According to the Federal
1213Emergency Management
1214
1215247
121600:13:18,667 --> 00:13:21,033
1217Agency some four hundred
1218thousand New Yorkers
1219
1220248
122100:13:21,033 --> 00:13:24,467
1222living in the 100 year
1223floodplain with a 1% risk
1224
1225249
122600:13:25,767 --> 00:13:29,367
1227of flood in
1228any given year,
1229
1230250
123100:13:29,367 --> 00:13:31,333
1232that's more people living
1233in the floodplain with the
1234
1235251
123600:13:31,333 --> 00:13:34,633
1237risk of being swamped than
1238in any other city in the
1239
1240252
124100:13:34,633 --> 00:13:38,233
1242United States
1243including New Orleans.
1244
1245253
124600:13:38,233 --> 00:13:41,367
1247>>>TINABETH PINA: Do you
1248think there's a chance or
1249
1250254
125100:13:41,367 --> 00:13:43,600
1252any possibility sometime
1253in the future that
1254
1255255
125600:13:43,600 --> 00:13:46,367
1257Manhattan may go back
1258to what it once was?
1259
1260256
126100:13:46,533 --> 00:13:50,333
1262>>>TED STEINBERG:
1263Well it already did.
1264
1265257
126600:13:50,333 --> 00:13:52,500
1267That's what happened
1268during Hurricane Sandy.
1269
1270258
127100:13:52,500 --> 00:13:54,734
1272Manhattan returned for a
1273brief moment to the watery
1274
1275259
127600:13:55,200 --> 00:13:58,834
1277world from
1278which it emerged.
1279
1280260
128100:13:58,834 --> 00:14:01,700
1282It's important that we
1283have some understanding
1284
1285261
128600:14:02,667 --> 00:14:06,500
1287given the pace of
1288urbanization as to what
1289
1290262
129100:14:06,500 --> 00:14:09,533
1292the ecological
1293ramifications are.
1294
1295263
129600:14:09,533 --> 00:14:12,233
1297This idea of New York
1298as an proposition really
1299
1300264
130100:14:12,233 --> 00:14:16,000
1302takes off and it continues
1303to shape and guide
1304
1305265
130600:14:16,600 --> 00:14:20,767
1307New York's relations with the
1308environment to this very day.
1309
1310266
131100:14:22,834 --> 00:14:26,200
1312>>>CAROL ANNE RIDDELL: We
1313live in and with nature
1314
1315267
131600:14:26,200 --> 00:14:28,000
1317but its power over us can be
1318both awe inspiring and tragic.
1319
1320268
132100:14:28,000 --> 00:14:32,033
1322From volcanoes and earthquakes
1323to hurricanes and tornadoes.
1324
1325269
132600:14:32,033 --> 00:14:35,333
1327One thing we can do try
1328to understand the science
1329
1330270
133100:14:35,333 --> 00:14:38,233
1332behind those
1333natural disasters.
1334
1335271
133600:14:40,600 --> 00:14:44,600
1337>>>CAROL ANNE RIDDELL:
1338Despite all our progress as
1339
1340272
134100:14:44,600 --> 00:14:46,266
1342people the enormity of nature's
1343power can overwhelm us.
1344
1345273
134600:14:46,266 --> 00:14:49,000
1347Perhaps no more so than when
1348we face natural disasters.
1349
1350274
135100:14:49,600 --> 00:14:53,500
1352A current exhibition at
1353the American Museum of
1354
1355275
135600:14:53,500 --> 00:14:55,667
1357Natural History
1358captures exactly that.
1359
1360276
136100:14:55,667 --> 00:14:58,667
1362Called Nature's Fury:
1363The Science of Natural
1364
1365277
136600:14:58,667 --> 00:15:01,000
1367Disasters, it is an
1368in-depth look at the
1369
1370278
137100:15:01,000 --> 00:15:03,400
1372potential danger
1373we live with daily.
1374
1375279
137600:15:03,400 --> 00:15:06,367
1377>>>ED MATHEZ: Natural
1378hazards are a consequence
1379
1380280
138100:15:06,367 --> 00:15:09,867
1382of us living on a dynamic
1383planet and there is no
1384
1385281
138600:15:09,867 --> 00:15:12,600
1387escaping them, those
1388risks will always exist.
1389
1390282
139100:15:12,600 --> 00:15:16,133
1392>>>CAROL ANNE RIDDELL: Ed
1393Mathez, the curator of
1394
1395283
139600:15:16,133 --> 00:15:17,767
1397Nature's Fury, explains
1398learning about these
1399
1400284
140100:15:17,767 --> 00:15:20,133
1402disasters can help protect us.
1403
1404285
140500:15:20,133 --> 00:15:22,333
1406>>>ED MATHEZ:
1407Understanding the science
1408
1409286
141000:15:22,333 --> 00:15:27,467
1411is really important because
1412it helps us determine the risk. You know risk is really a
1413combination of probability and
1414
1415287
141600:15:27,767 --> 00:15:31,734
1417consequence. So that's where
1418science can help us.
1419
1420288
142100:15:31,734 --> 00:15:35,033
1422>>>CAROL ANNE RIDDELL:
1423Earthquakes, volcanoes,
1424
1425289
142600:15:35,033 --> 00:15:37,033
1427tornadoes and hurricanes are
1428all on
1429
1430290
143100:15:37,033 --> 00:15:39,033
1432display here explained
1433though the stories of
1434
1435291
143600:15:39,033 --> 00:15:41,033
1437people in communities as well
1438as interactive exhibitions.
1439
1440292
144100:15:41,033 --> 00:15:44,100
1442Visitors can stand in
1443the eye of a tornado,
1444
1445293
144600:15:44,100 --> 00:15:46,266
1447create a virtual
1448volcano and even their own
1449
1450294
145100:15:46,266 --> 00:15:48,867
1452earthquake by jumping
1453next to a seismometer.
1454
1455295
145600:15:48,867 --> 00:15:51,467
1457I'm going to make my
1458own earthquake here.
1459
1460296
146100:15:51,467 --> 00:15:53,467
1462It's going to be huge. See that?
1463
1464297
146500:15:55,867 --> 00:15:56,867
1466Hurricane Sandy is also
1467part of the exhibition an
1468
1469298
147000:15:59,834 --> 00:16:02,133
1471example of Nature's Fury
1472that many in our area are
1473
1474299
147500:16:02,133 --> 00:16:04,867
1476all too familiar with.
1477
1478300
147900:16:04,867 --> 00:16:06,533
1480The museum offers an
1481interactive map exploring
1482
1483301
148400:16:06,533 --> 00:16:08,934
1485how New York City
1486was vulnerable.
1487
1488302
148900:16:08,934 --> 00:16:10,934
1490Sandy demonstrates what
1491some scientists tell us.
1492
1493303
149400:16:10,934 --> 00:16:13,934
1495Back in 2011 well before
1496the storm we brought you
1497
1498304
149900:16:13,934 --> 00:16:17,633
1500an interview with
1501Professor Nicholas Coch,
1502
1503305
150400:16:17,633 --> 00:16:19,867
1505an expert on hurricanes
1506who said New York City
1507
1508306
150900:16:19,867 --> 00:16:23,200
1510could be hit hard.
1511
1512307
151300:16:23,200 --> 00:16:25,467
1514>>>NICOLAS COCH: We
1515know that if something has
1516
1517308
151800:16:25,467 --> 00:16:27,000
1519happened before it's
1520capable of happening again.
1521
1522309
152300:16:27,000 --> 00:16:29,633
1524If it hasn't happened in a long
1525time it's going to happen soon.
1526
1527310
152800:16:29,633 --> 00:16:33,233
1529This right angle makes the
1530New York area one of the
1531
1532311
153300:16:33,500 --> 00:16:37,467
1534most dangerous places in
1535America for a hurricane to
1536
1537312
153800:16:37,467 --> 00:16:41,133
1539come in based on the
1540generation of flood surge.
1541
1542313
154300:16:41,533 --> 00:16:45,500
1544>>>ED MATHEZ: New York
1545is one of the places that
1546
1547314
154800:16:45,500 --> 00:16:47,967
1549should expect you
1550know pretty severe,
1551
1552315
155300:16:47,967 --> 00:16:50,266
1554pretty large hurricane every,
1555you know, few decades or so.
1556
1557316
155800:16:50,900 --> 00:16:54,934
1559>>>CAROL ANNE RIDDELL:
1560So we are not out of the clear?
1561
1562317
156300:16:54,934 --> 00:16:56,934
1564>>>ED MATHEZ: Well there's no
1565such thing as being out of the
1566
1567318
156800:16:56,934 --> 00:16:58,934
1569clear. There is such a thing as
1570taking you know sensible
1571
1572319
157300:16:58,934 --> 00:17:02,033
1574mitigating actions but
1575there's no such thing as
1576
1577320
157800:17:02,033 --> 00:17:04,367
1579being out of the clear.
1580
1581321
158200:17:04,367 --> 00:17:07,433
1583>>>CAROL ANNE RIDDELL: There is
1584plenty of science here beyond hurricanes. The exhibit looks
1585at plate tectonics,
1586
1587322
158800:17:07,433 --> 00:17:09,600
1589the theory of the movement
1590of the plates that make up
1591
1592323
159300:17:09,600 --> 00:17:11,934
1594Earth's outer skin.
1595
1596324
159700:17:11,934 --> 00:17:13,500
1598And did you know that
1599about 75% of all tornadoes
1600
1601325
160200:17:13,500 --> 00:17:16,433
1603take place in an area covering
16048 states in the central U.S.
1605
1606326
160700:17:16,867 --> 00:17:20,333
1608known as Tornado Alley.
1609
1610327
161100:17:20,333 --> 00:17:22,100
1612And while some natural
1613disasters strike with
1614
1615328
161600:17:22,100 --> 00:17:24,300
1617little warning,
1618others can give scientists
1619
1620329
162100:17:24,300 --> 00:17:26,600
1622significant
1623advanced notice.
1624
1625330
162600:17:26,600 --> 00:17:28,600
1627>>>ED MATHEZ: Volcanic
1628eruptions are a different
1629
1630331
163100:17:28,600 --> 00:17:30,600
1632kind of hazard.
1633
1634332
163500:17:30,600 --> 00:17:31,600
1636We do have forewarning,
1637typically we have
1638
1639333
164000:17:31,600 --> 00:17:33,600
1641forewarning of weeks to days
1642to hours before eruption.
1643
1644334
164500:17:35,166 --> 00:17:39,133
1646>>>CAROL ANNE RIDDELL: But
1647science is only one part
1648
1649335
165000:17:39,133 --> 00:17:41,333
1651of the learning here so is
1652human loss and resilience.
1653
1654336
165500:17:41,333 --> 00:17:44,266
1656For example Isaac Cline, a
1657meteorologist in Galveston
1658
1659337
166000:17:44,266 --> 00:17:48,066
1661Texas. The exhibit explains he
1662warned of a hurricane in
1663
1664338
166500:17:48,066 --> 00:17:51,834
16661900 that killed thousands,
1667including his pregnant wife.
1668
1669339
167000:17:52,734 --> 00:17:56,633
1671>>>ED MATHEZ: These are
1672human tragedies and it's
1673
1674340
167500:17:56,633 --> 00:17:58,633
1676easy to forget that when
1677we you know wander through
1678
1679341
168000:17:58,633 --> 00:18:01,133
1681an exhibit like this that has
1682a lot of you know interesting
1683
1684342
168500:18:01,133 --> 00:18:04,633
1686things. But fundamentally this
1687isn't just interesting,
1688
1689343
169000:18:04,633 --> 00:18:07,834
1691it's also a tragedy. We can
1692never forget that.
1693
1694344
169500:18:08,367 --> 00:18:09,900
1696>>>CAROL ANNE RIDDELL: You
1697still have time to check
1698
1699345
170000:18:12,333 --> 00:18:14,333
1701out Nature's Fury the exhibition
1702runs through August 9th.
1703
1704346
170500:18:14,333 --> 00:18:18,233
1706Finally today the push
1707is not to cool down the
1708
1709347
171000:18:18,233 --> 00:18:21,033
1711environment and reduce
1712greenhouse gas emissions
1713
1714348
171500:18:21,033 --> 00:18:23,767
1716and a city program is
1717tackling that problem one
1718
1719349
172000:18:23,767 --> 00:18:27,133
1721roof at a time. Mike
1722Gilliam has more.
1723
1724350
172500:18:27,433 --> 00:18:29,533
1726>>>MIKE GILLIAM: During
1727the summer months rooftops
1728
1729351
173000:18:31,400 --> 00:18:33,400
1731like this can be steaming
1732hot and that could raise
1733
1734352
173500:18:33,400 --> 00:18:35,967
1736some serious issues.
1737
1738353
173900:18:35,967 --> 00:18:39,900
1740But one group of people is
1741trying to change all that through a program
1742called Cool Roofs.
1743
1744354
174500:18:40,033 --> 00:18:43,934
1746>>>STUART GAFFIN: It's a
1747great program and it's
1748
1749355
175000:18:43,934 --> 00:18:46,233
1751goal is to sort of take
1752out a heat source that's
1753
1754356
175500:18:46,233 --> 00:18:50,100
1756really really widespread
1757in this city and in every
1758
1759357
176000:18:50,100 --> 00:18:52,300
1761city in the world frankly.
1762
1763358
176400:18:52,300 --> 00:18:53,500
1765>>>MIKE GILLIAM: Stuart
1766Gaffin is a professor at
1767
1768359
176900:18:53,500 --> 00:18:55,500
1770Columbia University
1771who also works for NASA.
1772
1773360
177400:18:55,500 --> 00:18:58,633
1775He says the principle is
1776simple and something we
1777
1778361
177900:18:58,633 --> 00:19:00,800
1780all learned in
1781second grade.
1782
1783362
178400:19:00,800 --> 00:19:02,900
1785White reflects the sun
1786and heat while dark colors
1787
1788363
178900:19:02,900 --> 00:19:05,767
1790absorb the sun's rays causing
1791surface temperatures to rise.
1792
1793364
179400:19:06,233 --> 00:19:10,266
1795>>>STUART GAFFIN: Because
1796of that the dark surfaces
1797
1798365
179900:19:10,266 --> 00:19:12,266
1800heat up tremendously and I
1801spent a tremendous amount
1802
1803366
180400:19:12,266 --> 00:19:14,700
1805time on rooftops and
1806I've seen them reach
1807
1808367
180900:19:14,700 --> 00:19:16,700
1810temperatures up to 190 degrees
1811and routinely exceed 170.
1812
1813368
181400:19:16,700 --> 00:19:20,567
1815>>>MIKE GILLIAM: And with
1816the roof painted white
1817
1818369
181900:19:20,567 --> 00:19:22,567
1820what do you see?
1821
1822370
182300:19:22,567 --> 00:19:25,567
1824>>>STUART GAFFIN: So if it
1825was about eighty degrees out it would probably get
1826up to about ninety maybe
1827
1828371
182900:19:25,567 --> 00:19:27,567
1830one hundred but you're
1831easily shaving off seventy
1832
1833372
183400:19:27,567 --> 00:19:30,066
1835degrees Fahrenheit in that
1836peak sunlight condition.
1837
1838373
183900:19:30,066 --> 00:19:32,700
1840>>>MIKE GILLIAM: Gaffin
1841says that can produce huge
1842
1843374
184400:19:32,700 --> 00:19:34,700
1845benefits when it comes to
1846global warming and energy
1847
1848375
184900:19:34,700 --> 00:19:37,000
1850consumption. Former Con Edison
1851sustainability manager
1852
1853376
185400:19:37,000 --> 00:19:40,333
1855Morgan Scott says the company
1856has been on board for years.
1857
1858377
185900:19:40,633 --> 00:19:44,500
1860>>>MORGAN SCOTT: The
1861reason why we're putting
1862
1863378
186400:19:44,500 --> 00:19:46,500
1865and helping and involved
1866in this program is because
1867
1868379
186900:19:46,500 --> 00:19:48,500
1870we really believe that
1871our customers will see benefits.
1872
1873380
187400:19:48,500 --> 00:19:51,300
1875So when we put a white
1876roof on a building and we
1877
1878381
187900:19:51,300 --> 00:19:53,734
1880reduce the building's
1881temperature over time we
1882
1883382
188400:19:53,734 --> 00:19:55,900
1885reduce the amount of
1886energy that a building
1887
1888383
188900:19:55,900 --> 00:19:58,133
1890needs to consume to keep
1891the building cool so our
1892
1893384
189400:19:58,133 --> 00:20:00,867
1895customers are
1896saving money.
1897
1898385
189900:20:00,867 --> 00:20:02,166
1900>>>MIKE GILLIAM:
1901Scott also points out the
1902
1903386
190400:20:02,166 --> 00:20:04,166
1905environmental benefits of
1906the Cool Roofs program.
1907
1908387
190900:20:04,166 --> 00:20:07,033
1910>>>MORGAN SCOTT: When you
1911reduce the energy that's
1912
1913388
191400:20:07,033 --> 00:20:09,033
1915consumed you have an
1916emissions reduction on the
1917
1918389
191900:20:09,033 --> 00:20:11,633
1920backend and so we like to
1921see that with emissions
1922
1923390
192400:20:11,633 --> 00:20:15,367
1925reduction you have
1926improved air quality.
1927
1928391
192900:20:15,367 --> 00:20:17,367
1930>>>MIKE GILLIAM: The
1931program is run through the
1932
1933392
193400:20:17,367 --> 00:20:19,367
1935city and started off with
1936a simple pilot program in
1937
1938393
193900:20:19,367 --> 00:20:21,700
19402009 in Long Island City.
1941
1942394
194300:20:21,700 --> 00:20:24,500
1944They wanted to see if Cool Roofs
1945would be effective in New York.
1946
1947395
194800:20:24,500 --> 00:20:27,934
1949>>>GERALDINE SWEENEY:
1950Our goal was to coat one
1951
1952396
195300:20:27,934 --> 00:20:29,934
1954hundred thousand square
1955feet of roof top and at
1956
1957397
195800:20:29,934 --> 00:20:32,900
1959the same time work with
1960the scientific community
1961
1962398
196300:20:32,900 --> 00:20:35,000
1964to do some initial
1965analysis on what the
1966
1967399
196800:20:35,000 --> 00:20:38,000
1969benefits are of
1970coating a roof white.
1971
1972400
197300:20:38,000 --> 00:20:40,834
1974And that pilot proved so
1975successful that the city
1976
1977401
197800:20:41,233 --> 00:20:45,133
1979launched a full blown
1980program in 2010 with the
1981
1982402
198300:20:45,133 --> 00:20:48,033
1984goal of coating one
1985million square feet per
1986
1987403
198800:20:48,033 --> 00:20:51,033
1989year in buildings all over
1990the city to help the urban
1991
1992404
199300:20:51,333 --> 00:20:55,300
1994heat island effect that
1995is a phenomenon in cities.
1996
1997405
199800:20:55,667 --> 00:20:59,633
1999>>>MIKE GILLIAM: A heat
2000island is a location that
2001
2002406
200300:20:59,633 --> 00:21:01,633
2004is hotter because
2005it holds the heat.
2006
2007407
200800:21:01,633 --> 00:21:03,633
2009So far according to the
2010Cool Roofs website more
2011
2012408
201300:21:03,633 --> 00:21:05,967
2014than six million square feet of
2015rooftops have been painted.
2016
2017409
201800:21:05,967 --> 00:21:09,567
2019Now that would be the
2020equivalent of close to one
2021
2022410
202300:21:09,567 --> 00:21:12,000
2024hundred twenty
2025football fields.
2026
2027411
202800:21:12,000 --> 00:21:14,934
2029The Harlem Congregation
2030for Community Improvement
2031
2032412
203300:21:14,934 --> 00:21:17,166
2034has a number of buildings
2035in the program and they've
2036
2037413
203800:21:17,166 --> 00:21:20,266
2039seen roof
2040temperatures drop.
2041
2042414
204300:21:20,266 --> 00:21:22,166
2044>>>MALCOLM PUNTER: The
2045city was ahead of the
2046
2047415
204800:21:22,166 --> 00:21:24,166
2049curve on this initiative.
2050
2051416
205200:21:24,166 --> 00:21:26,133
2053They actually reached out
2054to organizations such as
2055
2056417
205700:21:26,133 --> 00:21:28,734
2058HCCI, asked us
2059to participate,
2060
2061418
206200:21:28,734 --> 00:21:31,166
2063we thought it was a great
2064idea and we participated
2065
2066419
206700:21:31,166 --> 00:21:34,333
2068and partnered over
2069a two-year period.
2070
2071420
207200:21:34,333 --> 00:21:36,767
2073>>>MIKE GILLIAM: Over
2074time that should both cut
2075
2076421
207700:21:36,767 --> 00:21:38,767
2078energy consumption
2079in the buildings,
2080
2081422
208200:21:38,767 --> 00:21:40,767
2083saving dollars, and it
2084should also help to cool
2085
2086423
208700:21:40,767 --> 00:21:43,133
2088the areas and in fact
2089the city and the planet.
2090
2091424
209200:21:43,133 --> 00:21:46,500
2093Program organizers past
2094and present say the
2095
2096425
209700:21:46,500 --> 00:21:49,433
2098Cool Roofs program works.
2099
2100426
210100:21:49,433 --> 00:21:52,233
2102>>>WENDY DESSY: My message is
2103that every roof should be
2104
2105427
210600:21:52,233 --> 00:21:54,600
2107white. This is a benefit to all
2108New Yorkers, to every resident.
2109
2110428
211100:21:54,967 --> 00:21:59,066
2112Everyone who lives here. It's
2113very easy to do, join us,
2114
2115429
211600:21:59,066 --> 00:22:02,700
2117come volunteer with
2118us, coat your own roof,
2119
2120430
212100:22:02,700 --> 00:22:06,967
2122go to our website and see how
2123you could become more involved.
2124
2125431
212600:22:07,367 --> 00:22:11,333
2127>>>MIKE GILLIAM: So the
2128experts agree a little bit
2129
2130432
213100:22:11,333 --> 00:22:13,333
2132of the special white paint
2133and some elbow grease can
2134
2135433
213600:22:13,333 --> 00:22:16,066
2137help to cool down our city
2138and do all of us a lot of good.
2139
2140434
214100:22:16,367 --> 00:22:20,000
2142I'm Mike Gilliam
2143for Science & U!
2144
2145435
214600:22:20,400 --> 00:22:22,066
2147>>>CAROL ANNE RIDDELL: Think
2148about the size of New York City.
2149
2150436
215100:22:24,533 --> 00:22:26,533
2152Millions of people. Now think
2153about how much water we use.
2154
2155437
215600:22:26,533 --> 00:22:29,667
2157But where does all that water go
2158once it heads down the drain?
2159
2160438
216100:22:29,667 --> 00:22:32,734
2162For most of us it's out of
2163sight, out of mind.
2164
2165439
216600:22:32,734 --> 00:22:35,567
2167Managing and purifying New Yorks
2168water system is a massive
2169
2170440
217100:22:35,567 --> 00:22:38,900
2172undertakng and the key might
2173just be harnessing the power
2174
2175441
217600:22:38,900 --> 00:22:42,667
2177of tiny bacteria. Ari Goldberg
2178explains.
2179
2180442
218100:22:43,867 --> 00:22:47,734
2182>>>ARI GOLDBERG: I'm Ari
2183Goldberg. Every day,
2184
2185443
218600:22:47,734 --> 00:22:49,734
2187New York City generates 1.3
2188billion gallons of wastewater.
2189
2190444
219100:22:49,734 --> 00:22:52,967
2192That's four hundred seventy
2193four and a half billion
2194
2195445
219600:22:52,967 --> 00:22:55,433
2197gallons a year. Whenever
2198rain washes dirt into the sewer,
2199
2200446
220100:22:55,433 --> 00:22:58,533
2202whenever you flush a toilet,
2203take a shower, do the laundry,
2204
2205447
220600:22:58,533 --> 00:23:01,734
2207it ends up at one of New
2208York's 14 treatment plants.
2209
2210448
221100:23:01,734 --> 00:23:04,500
2212It's an expensive and involved
2213process, one that the city
2214
2215449
221600:23:04,500 --> 00:23:07,400
2217is trying to make
2218more efficient.
2219
2220450
222100:23:07,400 --> 00:23:09,400
2222>>>JOHN FILLOS: We
2223basically have been focusing on
2224
2225451
222600:23:10,433 --> 00:23:14,333
2227applied research meaning
2228that we're looking to
2229
2230452
223100:23:14,333 --> 00:23:17,600
2232solve real problems.
2233
2234453
223500:23:17,600 --> 00:23:19,767
2236>>>ARI GOLDBERG: Professor
2237John Fillos and his team
2238
2239454
224000:23:19,767 --> 00:23:21,767
2241at City College have been
2242tapped by the New York City
2243
2244455
224500:23:21,767 --> 00:23:23,834
2246Department of Environmental
2247Protection to develop a
2248
2249456
225000:23:23,834 --> 00:23:26,333
2251cheaper and greener technology
2252for the city's wastewater
2253
2254457
225500:23:26,333 --> 00:23:29,066
2256treatment. Specifically, the
2257removal of excess nitrogen with
2258
2259458
226000:23:29,066 --> 00:23:32,734
2261a tiny bacteria called anammox.
2262
2263459
226400:23:32,734 --> 00:23:35,100
2265>>>JOHN FILLOS: When you
2266look at the nitrogen that
2267
2268460
226900:23:35,100 --> 00:23:37,367
2270originates from wastewater,
2271it's in the form of ammonia
2272
2273461
227400:23:37,367 --> 00:23:41,533
2275and it's organic nitrogen.
2276So when it's released into the
2277
2278462
227900:23:42,000 --> 00:23:45,834
2280environment, whether it's
2281Jamaica Bay or
2282
2283463
228400:23:45,834 --> 00:23:48,433
2285Long Island Sound, when
2286you go into an excess amount
2287
2288464
228900:23:48,433 --> 00:23:51,533
2290is when you create the problems.
2291
2292465
229300:23:51,533 --> 00:23:54,834
2294>>>ARI GOLDBERG: It sounds
2295almost counter intuitive
2296
2297466
229800:23:54,834 --> 00:23:56,834
2299at first. Nitrogen is an
2300essential nutrient for life
2301
2302467
230300:23:56,834 --> 00:23:59,133
2304after all. Conceptually when we
2305think of wastewater we think
2306
2307468
230800:23:59,133 --> 00:24:02,467
2309of sludge and trash pollution,
2310but nutrient pollution?
2311
2312469
231300:24:02,467 --> 00:24:06,266
2314However, it turns
2315out when excess nutrients
2316
2317470
231800:24:06,266 --> 00:24:08,834
2319from household, industrial
2320and farming products end up
2321
2322471
232300:24:08,834 --> 00:24:12,367
2324in our waterways, they can
2325disrupt oxygen levels,
2326
2327472
232800:24:12,367 --> 00:24:14,834
2329marine life, and our
2330own drinking supply.
2331
2332473
233300:24:14,834 --> 00:24:16,834
2334>>>JOHN FILLOS: I guess
2335in some way people say
2336
2337474
233800:24:16,834 --> 00:24:18,900
2339everything in moderation
2340is good so when we talk
2341
2342475
234300:24:18,900 --> 00:24:21,367
2344about removing nitrogen
2345we're not talking about
2346
2347476
234800:24:21,367 --> 00:24:24,767
2349reducing it to zero. We're
2350reducing it to a level,
2351
2352477
235300:24:24,767 --> 00:24:28,266
2354which will sustain biological
2355activity in the waterways.
2356
2357478
235800:24:29,166 --> 00:24:33,133
2359>>>ARI GOLDBERG: The goal
2360is to turn these toxic
2361
2362479
236300:24:33,133 --> 00:24:35,133
2364levels of nitrogen
2365chemicals, for example
2366
2367480
236800:24:35,133 --> 00:24:37,133
2369ammonia or nitrate, back
2370into pure safe nitrogen
2371
2372481
237300:24:37,133 --> 00:24:40,433
2374gas, which will escape
2375safely back into the atmosphere.
2376
2377482
237800:24:40,433 --> 00:24:43,667
2379Conventionally this process
2380took massive amounts of
2381
2382483
238300:24:43,667 --> 00:24:46,367
2384energy and resources but
2385Professor Fillos' team is
2386
2387484
238800:24:46,367 --> 00:24:49,467
2389harnessing the power of a
2390bacterial family known as
2391
2392485
239300:24:49,467 --> 00:24:51,967
2394anammox to do the work for them.
2395
2396486
239700:24:51,967 --> 00:24:54,467
2398>>>JOHN FILLOS: What we're
2399doing is we're trying to
2400
2401487
240200:24:54,467 --> 00:24:56,467
2403find the most cost
2404effective way of doing it,
2405
2406488
240700:24:56,467 --> 00:24:58,600
2408which means the least
2409amount of energy,
2410
2411489
241200:24:58,600 --> 00:25:00,900
2413the least amount of chemicals
2414that you need. And what
2415
2416490
241700:25:00,900 --> 00:25:04,734
2418happens, what we have
2419discovered that this
2420
2421491
242200:25:04,734 --> 00:25:06,967
2423bacteria anammox is
2424capable of transforming
2425
2426492
242700:25:07,800 --> 00:25:11,667
2428the nitrate to nitrogen
2429gas under anaerobic
2430
2431493
243200:25:12,300 --> 00:25:16,233
2433conditions with the
2434minimum impact in terms of
2435
2436494
243700:25:16,233 --> 00:25:19,800
2438energy demand, in
2439terms of chemical demand.
2440
2441495
244200:25:19,800 --> 00:25:23,600
2443>>>ARI GOLDBERG: The
2444anammox family of bacteria is a
2445
2446496
244700:25:23,600 --> 00:25:25,600
2448relatively new find having only
2449been identified in the 1990's.
2450
2451497
245200:25:25,600 --> 00:25:28,266
2453Early applications began in
2454Europe but now the City College
2455
2456498
245700:25:28,567 --> 00:25:32,700
2458scientists are building that
2459technology here starting with
2460
2461499
246200:25:32,700 --> 00:25:35,734
2463small scale reactors in the lab.
2464
2465500
246600:25:35,734 --> 00:25:37,734
2467>>>JOHN FILLOS: Basically this
2468is a scale model of the reactor
2469
2470501
247100:25:37,734 --> 00:25:40,900
2472that is going to eventually be
2473built to treat the
2474
2475502
247600:25:40,900 --> 00:25:43,700
2477waste stream. We start with
2478basically clean media,
2479
2480503
248100:25:45,400 --> 00:25:49,367
2482and the purpose of
2483this media is to immobilize the
2484
2485504
248600:25:50,000 --> 00:25:53,834
2487anammox bacteria
2488by growing on its surface.
2489
2490505
249100:25:54,433 --> 00:25:58,333
2492>>>ARI GOLDBERG: Anammox
2493is a very slow growing
2494
2495506
249600:25:58,333 --> 00:26:00,333
2497bacteria and getting it to
2498flourish on these plastic
2499
2500507
250100:26:00,333 --> 00:26:02,567
2502pieces was no easy task.
2503
2504508
250500:26:02,567 --> 00:26:04,934
2506>>>JOHN FILLOS: So that
2507process of developing this
2508
2509509
251000:26:04,934 --> 00:26:07,266
2511bio-film on this clean
2512surface took about 6 months.
2513
2514510
251500:26:09,133 --> 00:26:12,934
2516Okay. This is how
2517slow the process is.
2518
2519511
252000:26:12,934 --> 00:26:16,667
2521And, to tell you the truth,
2522halfway through we became
2523
2524512
252500:26:16,934 --> 00:26:20,900
2526so frustrated that we
2527thought it was never going
2528
2529513
253000:26:20,900 --> 00:26:23,834
2531to happen but it
2532eventually happened and it
2533
2534514
253500:26:23,834 --> 00:26:26,133
2536worked very very well.
2537
2538515
253900:26:26,133 --> 00:26:27,934
2540>>>MAHSA MERHDAD: The
2541challenges we face during
2542
2543516
254400:26:27,934 --> 00:26:29,934
2545the operation was specifically
2546related to the wastewater
2547
2548517
254900:26:30,133 --> 00:26:34,133
2550characteristics in New York,
2551that we didn't expect
2552
2553518
255400:26:35,000 --> 00:26:38,433
2555it in the beginning.
2556
2557519
255800:26:38,433 --> 00:26:40,467
2559>>>ARI GOLDBERG: Despite
2560these obstacles, once they
2561
2562520
256300:26:40,467 --> 00:26:42,467
2564had nurtured a population
2565of anammox, it was time to
2566
2567521
256800:26:42,467 --> 00:26:44,767
2569incorporate them into the
2570waste treatment process.
2571
2572522
257300:26:44,767 --> 00:26:47,033
2574Mahsa Merhdad is a
2575Ph.D. student working
2576
2577523
257800:26:47,033 --> 00:26:49,734
2579with Professor Fillos.
2580
2581524
258200:26:49,734 --> 00:26:51,367
2583>>>MAHSA MERHDAD: So here
2584on the screen we can take
2585
2586525
258700:26:51,367 --> 00:26:53,367
2588a look into the controls
2589here. In the summer we can
2590
2591526
259200:26:55,700 --> 00:26:59,667
2593temperature, ph, d.o., of
2594the reactor and also we
2595
2596527
259700:26:59,667 --> 00:27:03,233
2598can control the pumps. We
2599can calibrate the system.
2600
2601528
260200:27:05,300 --> 00:27:09,266
2603>>>ARI GOLDBERG: So as
2604nitrogen waste is fed into
2605
2606529
260700:27:09,266 --> 00:27:11,266
2608the reactor a critical
2609mass of bacteria is now
2610
2611530
261200:27:11,266 --> 00:27:13,934
2613able to feed on that waste
2614converting it to harmless
2615
2616531
261700:27:13,934 --> 00:27:16,533
2618nitrogen gas. And in
2619the process, cleaning our
2620
2621532
262200:27:16,533 --> 00:27:18,967
2623water. And the future
2624looks promising for this
2625
2626533
262700:27:18,967 --> 00:27:21,333
2628technology, using less
2629resources and costing less
2630
2631534
263200:27:21,333 --> 00:27:24,667
2633money then
2634conventional methods.
2635
2636535
263700:27:24,667 --> 00:27:26,667
2638>>>MAHSA MERHDAD: Anammox
2639for its growth doesn't
2640
2641536
264200:27:26,667 --> 00:27:29,567
2643need any external organic
2644carbon and the demand for
2645
2646537
264700:27:29,567 --> 00:27:33,734
2648oxygen is also reduced by
264960%. It is more sustainable,
2650
2651538
265200:27:35,266 --> 00:27:38,700
2653more cost effective-
2654
2655539
265600:27:38,700 --> 00:27:41,300
2657>>>JOHN FILLOS: The
2658next phase was to build a
2659
2660540
266100:27:41,300 --> 00:27:43,767
2662larger scale, a pilot
2663unit, which we did this at
2664
2665541
266600:27:43,900 --> 00:27:47,667
2667the 26th Ward Wastewater
2668Treatment Plant.
2669
2670542
267100:27:47,667 --> 00:27:51,500
2672That project has also been
2673completed. It demonstrated
2674
2675543
267600:27:51,500 --> 00:27:54,834
2677the practicality and the
2678cost effectiveness of the
2679
2680544
268100:27:54,834 --> 00:27:57,867
2682process and the city of
2683New York is in the process
2684
2685545
268600:27:57,867 --> 00:28:00,867
2687of now putting together a
2688request for proposal for a
2689
2690546
269100:28:01,300 --> 00:28:04,767
2692full scale operation.
2693
2694547
269500:28:04,767 --> 00:28:07,233
2696>>>ARI GOLDBERG: While
2697this full scale operation will
2698
2699548
270000:28:07,233 --> 00:28:09,233
2701still take a while to implement,
2702thanks to Professor Fillos'
2703
2704549
270500:28:09,233 --> 00:28:12,100
2706team and a tiny bacteria
2707called anammox, within the next
2708
2709550
271000:28:12,100 --> 00:28:15,233
2711few years we can
2712expect all of New York City's
2713
2714551
271500:28:15,233 --> 00:28:17,500
2716wastewater treatment
2717plants to be both more efficient
2718
2719552
272000:28:17,500 --> 00:28:20,467
2721and more environmentally
2722friendly. From City College,
2723
2724553
272500:28:20,467 --> 00:28:23,233
2726I'm Ari Goldberg
2727for Science & U!
2728
2729554
273000:28:23,233 --> 00:28:25,300
2731>>>CAROL ANNE RIDDELL: That's
2732our show for today.
2733
2734555
273500:28:27,200 --> 00:28:28,633
2736Join us next month for
2737a fascinating look at
2738
2739556
274000:28:28,633 --> 00:28:31,033
2741engineering in our
2742every day lives.
2743
2744557
274500:28:31,033 --> 00:28:33,033
2746From your commute to your
2747local Girl Scout troop.
2748
2749558
275000:28:33,033 --> 00:28:35,800
2751I'm Carol Anne Riddell, thanks
2752for joining us for Science & U!
2753
2754559
275500:28:36,467 --> 00:28:38,200
2756♪♪ [THEME MUSIC] ♪♪
2757