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100:00:00.000,00:00:20.354
2♪♪ [THEME MUSIC] ♪♪
3
400:00:20.687,00:00:22.689
5>>>CAROL ANNE RIDDELL:
6I'm Carol Anne Riddell
7
800:00:22.689,00:00:23.690
9and this is Science & U!
10
1100:00:23.690,00:00:25.692
12Today we're
13talking about our home,
14
1500:00:25.692,00:00:28.695
16planet Earth, a place
17both familiar and wildly
18
1900:00:28.695,00:00:31.932
20undiscovered for most of
21us. We begin with water.
22
2300:00:31.932,00:00:34.835
24It is central to our
25existence and yet in many
26
2700:00:34.835,00:00:37.304
28ways our oceans remain
29largely unexplored even
30
3100:00:37.304,00:00:41.108
32though they produce 70%
33of the Earth's oxygen and
34
3500:00:41.108,00:00:45.145
36billions of people rely on
37oceans for their livelihood.
38
3900:00:45.145,00:00:47.848
40Fabien Cousteau, grandson
41of legendary ocean
42
4300:00:47.848,00:00:50.984
44explorer Jacques Cousteau,
45wants to change that with
46
4700:00:50.984,00:00:53.520
48an ambitious project
49to raise awareness.
50
5100:00:53.520,00:00:57.958
52Living in an underwater marine
53laboratory for thirty-one days.
54
5500:00:57.958,00:01:00.227
56He spoke to our Vianora
57Vinca about the experience.
58
5900:01:02.529,00:01:04.264
60>>>FABIEN COUSTEAU: I'm
61glad that we all came out
62
6300:01:04.264,00:01:05.465
64of it in one piece.
65
6600:01:05.465,00:01:08.902
67You know there were a
68lot of uncertainties.
69
7000:01:08.902,00:01:12.673
71This was a theory really,
72the project itself,
73
7400:01:12.673,00:01:16.410
75as epic as it was and
76based on real science and
77
7800:01:16.410,00:01:18.478
79history, as it was,
80still was a theory.
81
8200:01:18.478,00:01:24.284
83The theory was let's do
84this crazy mission and see
85
8600:01:24.284,00:01:26.286
87if people are still
88interested in the oceans.
89
9000:01:26.286,00:01:28.689
91>>>VIANORA VINCA: Dubbed
92Mission 31 the endeavor
93
9400:01:28.689,00:01:31.825
95took place 9 miles off the
96coast of the Florida Keys
97
9800:01:31.825,00:01:35.729
99and 63 feet below the
100ocean surface where
101
10200:01:35.729,00:01:39.599
103Aquarius, the last existing
104underwater marine research
105
10600:01:39.599,00:01:44.104
107lab or underwater human habitat
108sits, on the ocean floor.
109
11000:01:44.104,00:01:46.473
111>>>FABIEN COUSTEAU: In
112history there have been
113
11400:01:46.473,00:01:49.443
115habitats built certainly
116first by my grandfather
117
11800:01:49.443,00:01:51.178
119and others in the
12060's.
121
12200:01:51.178,00:01:54.348
123There were several
124dozen in history.
125
12600:01:54.348,00:01:59.686
127In the 80's things
128changed and underwater habitats
129
13000:01:59.686,00:02:02.055
131disappear, and I think
132that's a huge travesty
133
13400:02:02.055,00:02:06.159
135because we've explored
136less than 5% of our oceans.
137
13800:02:06.159,00:02:09.196
139>>>VIANORA VINCA: Since then
140even with underwater exploration
141
14200:02:09.196,00:02:12.566
143technology continuously
144evolving Fabien Cousteau
145
14600:02:12.566,00:02:16.436
147says there's nothing like living
148in an underwater human habitat
149
15000:02:16.436,00:02:21.074
151and being able to explore the
152marine environment first hand.
153
15400:02:21.074,00:02:22.876
155>>>FABIEN COUSTEAU: A
156habitat immerses you in
157
15800:02:22.876,00:02:27.647
159the environment and you
160become very tactile and
161
16200:02:27.647,00:02:31.318
163your senses are very much
164attuned to that environment,
165
16600:02:31.318,00:02:33.787
167which is invaluable when
168you're trying to assess things.
169
17000:02:33.787,00:02:36.123
171>>>INSTRUCTOR: We're going to do
172a test. Where's your EGS valve?
173
17400:02:38.725,00:02:40.727
175Steady flow valve? Good to go.
176
17700:02:41.762,00:02:44.398
178>>>FABIEN COUSTEAU: I
179picked some young aspiring
180
18100:02:44.398,00:02:47.668
182marine biologists to
183be able to encompass a
184
18500:02:47.668,00:02:52.773
186nice rounded team that
187could give a foray into
188
18900:02:52.773,00:02:56.443
190robotics engineering, into
191marine biology and science
192
19300:02:56.443,00:02:59.946
194in general, so that we
195could get a good picture
196
19700:02:59.946,00:03:02.816
198of what the next
199generation of ocean
200
20100:03:02.816,00:03:04.818
202explorers and
203aquanauts could be.
204
20500:03:23.003,00:03:24.104
206>>>FABIEN COUSTEAU: This
207is our scientist and this
208
20900:03:24.104,00:03:25.939
210is one of our technicians
211and they're going out to
212
21300:03:25.939,00:03:31.144
214one of our sites to bring
215some of the sea grass to
216
21700:03:31.144,00:03:34.514
218plant around the, there's
219a sea grass right there,
220
22100:03:34.514,00:03:38.385
222to put around where
223the predator prey fear
224
22500:03:38.385,00:03:40.287
226behavior models are.
227
22800:03:40.287,00:03:44.858
229And we were studying the
230effects of the absence of
231
23200:03:44.858,00:03:47.561
233predators on the
234coral reef with regard to
235
23600:03:47.561,00:03:50.730
237biodiversity and that
238really goes into the
239
24000:03:50.730,00:03:55.435
241subject of over fishing and how
242we're taking away a lot of these
243
24400:03:55.435,00:03:59.673
245essential creatures that
246make coral reefs healthy.
247
24800:03:59.673,00:04:00.774
249>>>GRACE YOUNG: We
250actually just got back
251
25200:04:00.774,00:04:03.009
253from the dive,
254hence the wet hair,
255
25600:04:03.009,00:04:04.978
257and it went really well.
258
25900:04:04.978,00:04:09.015
260It took us about 45
261minutes to set up the camera.
262
26300:04:09.015,00:04:13.353
264We're using a lens that
265has a really narrow focus
266
26700:04:13.353,00:04:15.922
268so we can see the details
269of these little critters.
270
27100:04:15.922,00:04:18.091
272>>>FABIEN COUSTEAU: No, no,
273no, don't move the camera.
274
27500:04:18.091,00:04:21.561
276Just let me know when he
277spits so I can push the trigger.
278
27900:04:21.561,00:04:22.662
280>>>GRACE YOUNG:
281Okay, I'll let you know.
282
28300:04:22.662,00:04:24.531
284>>>LIZ MAGEE: But after
28545 minutes we got it.
286
28700:04:24.531,00:04:28.301
288There's a lot of critters that
289just move really fast and only
290
29100:04:28.301,00:04:30.303
292with a camera can we see the
293details of their movements.
294
29500:04:36.943,00:04:39.179
296So it was a pretty
297good day and all.
298
29900:04:39.179,00:04:39.880
300>>>GRACE YOUNG:
301Really great day.
302
30300:04:39.880,00:04:40.881
304>>>LIZ MAGEE: High-five.
305
30600:04:42.849,00:04:45.886
307>>>FABIEN COUSTEAU: We were
308able to do over three years
309
31000:04:45.886,00:04:50.657
311of science in 31 days and that
312in itself was invaluable.
313
31400:04:50.657,00:04:53.493
315>>>MAN: Here we go. End of
316Mission 31 Alpha.
317
31800:04:53.493,00:04:55.796
319>>>VIANORA VINCA: After spending
320a full month at the worlds
321
32200:04:55.796,00:04:59.966
323final frontier, as Cousteau
324likes to call the underseas,
325
32600:04:59.966,00:05:03.270
327coming back on land was yet
328another challenging experience
329
33000:05:03.270,00:05:04.771
331he had to brace up for.
332
33300:05:04.771,00:05:07.207
334>>>FABIEN COUSTEAU: It was a bit
335of an unraveling experience-
336
33700:05:07.207,00:05:11.144
338for the last seven days of
339Mission 31 I was dreading coming
340
34100:05:11.144,00:05:15.982
342back up because I had gotten so
343used to being underwater in
344
34500:05:15.982,00:05:18.985
346the worlds only undersea
347laboratory, it became my home.
348
34900:05:18.985,00:05:21.922
350And fish became our neighbors
351and we became very
352
35300:05:21.922,00:05:27.360
354accustomed to what that meant.
355I'm torn. I'm really happy to
356
35700:05:27.360,00:05:30.664
358be back up to the surface to see
359friends and family.
360
36100:05:30.664,00:05:36.002
362I'm a little sad to be leaving
363our home for the last month
364
36500:05:36.002,00:05:37.671
366but it was pretty awesome.
367
36800:05:37.671,00:05:39.673
369>>>VIANORA VINCA: For Science
370& U! I'm Vianora Vinca.
371
37200:05:42.142,00:05:43.410
373>>>CAROL ANNE RIDDELL:
374Gray whales have not
375
37600:05:43.410,00:05:45.645
377inhabited the Atlantic
378Ocean for the past three
379
38000:05:45.645,00:05:48.882
381hundred years however
382in the past five years
383
38400:05:48.882,00:05:51.384
385sightings in bodies of
386water connected to the
387
38800:05:51.384,00:05:53.620
389Atlantic have led
390scientists to speculate
391
39200:05:53.620,00:05:56.122
393these whales may be
394migrating through melting
395
39600:05:56.122,00:05:58.124
397ice in the polar regions.
398Andrew Falzon tells us more.
399
40000:06:01.728,00:06:03.663
401>>>HOWARD ROSENBAUM: As a
402population gray whales in the
403
40400:06:03.663,00:06:07.033
405Atlanta went extinct
406several hundred years ago.
407
40800:06:07.033,00:06:09.569
409>>>ANDREW FALZON: Dr. Howard
410Rosenbaum directs the Ocean
411
41200:06:09.569,00:06:13.273
413Giant's program for the Wildlife
414Conservation Society.
415
41600:06:13.273,00:06:15.842
417Measuring upwards of fifty
418feet in length and up to
419
42000:06:15.842,00:06:18.879
421forty tons in weight grey
422whales are some of the
423
42400:06:18.879,00:06:21.248
425largest
426animals alive today.
427
42800:06:21.248,00:06:23.883
429These gigantic creatures
430live in the Pacific Ocean
431
43200:06:23.883,00:06:26.553
433in two distinct groups.
434
43500:06:26.553,00:06:28.888
436>>>HOWARD ROSENBAUM: So
437the gray whales off the
438
43900:06:28.888,00:06:32.792
440coast of Russia are called
441the western gray whales
442
44300:06:32.792,00:06:36.596
444and they are a highly
445endangered population
446
44700:06:36.596,00:06:39.633
448genetically distinct
449from the animals that are
450
45100:06:39.633,00:06:42.269
452called the eastern north
453pacific gray whales for
454
45500:06:42.269,00:06:44.971
456which there's a good
457census and recovery
458
45900:06:44.971,00:06:45.839
460laws such as the
461
46200:06:45.839,00:06:48.174
463U.S. Endangered Species
464Act, the Marine Mammal
465
46600:06:48.174,00:06:50.277
467Protection Act, have
468promoted the recovery of
469
47000:06:50.277,00:06:52.779
471those animals from
472very low numbers several
473
47400:06:52.779,00:06:56.316
475decades ago to more
476than twenty five thousand
477
47800:06:56.316,00:06:58.852
479animals in the
480population today.
481
48200:06:58.852,00:07:01.021
483>>>ANDREW FALZON: But in
4842010 this video stunned
485
48600:07:01.021,00:07:03.456
487whale researchers
488across the globe.
489
49000:07:03.456,00:07:06.726
491It shows a gray whale swimming
492off the coast of Israel. Then in
493
49400:07:06.726,00:07:12.065
4952013 another whale was spotted
496off the coast Namibia in Africa.
497
49800:07:12.065,00:07:14.801
499The scientific community
500was so surprised by the
501
50200:07:14.801,00:07:17.037
503photos many
504thought they were fake.
505
50600:07:17.037,00:07:19.706
507But after they were
508authenticated scientists
509
51000:07:19.706,00:07:21.474
511began to hypothesize.
512
51300:07:21.474,00:07:24.744
514They thought climate change
515might be part of the equation.
516
51700:07:24.744,00:07:28.214
518>>>HOWARD ROSENBAUM:
519Now as we consider what's
520
52100:07:28.214,00:07:32.085
522happening with climate
523change and leads opening
524
52500:07:32.085,00:07:34.688
526up in the Arctic and
527animals being able to move
528
52900:07:34.688,00:07:37.824
530through the Arctic, in
531particular ice free zones,
532
53300:07:37.824,00:07:41.561
534that these animals may
535migrate from the Pacific
536
53700:07:41.561,00:07:43.730
538to the Atlantic.
539
54000:07:43.730,00:07:48.501
541>>>LIZ ALTER: Phylogenomics
542is the study of using D.N.A.
543
54400:07:48.501,00:07:50.937
545to reconstruct
546evolutionary relationships
547
54800:07:50.937,00:07:53.907
549between organisms
550and between species.
551
55200:07:53.907,00:07:55.542
553>>>ANDREW FALZON: Dr.
554Liz Alter is an assistant
555
55600:07:55.542,00:07:58.311
557professor of biology at
558the City University of
559
56000:07:58.311,00:08:01.214
561New York's York College
562and Graduate Center.
563
56400:08:01.214,00:08:03.450
565She's part of the
566team that used D.N.A.
567
56800:08:03.450,00:08:06.386
569to examine whether or not
570the now extinct Atlantic
571
57200:08:06.386,00:08:09.723
573grey whales migrated
574from the Pacific Ocean.
575
57600:08:09.723,00:08:12.158
577Prior to this study
578there was no known genetic
579
58000:08:12.158,00:08:14.661
581information on
582Atlantic gray whales.
583
58400:08:14.661,00:08:17.030
585Sources of Atlantic
586gray whale D.N.A.
587
58800:08:17.030,00:08:19.632
589are hard to come by and
590show how science can come
591
59200:08:19.632,00:08:22.369
593from some very
594unusual sources.
595
59600:08:22.369,00:08:23.870
597>>>LIZ ALTER: So
598occasionally fishermen who
599
60000:08:23.870,00:08:25.972
601are trolling the North Sea
602will pull up a big chunk
603
60400:08:25.972,00:08:29.743
605of whalebone and if they
606don't feel like throwing
607
60800:08:29.743,00:08:31.678
609it back overboard and
610if they're a little bit
611
61200:08:31.678,00:08:33.313
613curious about it,
614they'll bring it back and
615
61600:08:33.313,00:08:35.882
617eventually it makes its
618way to a museum and then
619
62000:08:35.882,00:08:38.385
621eventually to us where
622we can extract D.N.A.
623
62400:08:38.385,00:08:40.820
625from it and sequence it.
626
62700:08:40.820,00:08:42.522
628>>>ANDREW FALZON: This
629allowed Alter to confirm
630
63100:08:42.522,00:08:44.824
632that the now extinct
633Atlantic gray whales
634
63500:08:44.824,00:08:47.861
636migrated from the Pacific
637to the Atlantic during the
638
63900:08:47.861,00:08:51.765
640warmer periods about ten
641thousand years B.C. They
642
64300:08:51.765,00:08:56.569
644realized that climate change has
645created similar conditions.
646
64700:08:56.569,00:08:58.805
648>>>LIZ ALTER: We all
649started to wonder,
650
65100:08:58.805,00:09:01.975
652OK well why is it that
653gray whales are showing up
654
65500:09:01.975,00:09:05.211
656in the Atlantic now
657after this long hiatus?
658
65900:09:05.211,00:09:08.915
660And of course the
661immediate thing everyone
662
66300:09:08.915,00:09:11.951
664starts to think about is
665the decline in Arctic sea ice.
666
66700:09:11.951,00:09:13.753
668>>>ANDREW FALZON: Since
669certain polar regions have
670
67100:09:13.753,00:09:16.656
672experienced significant
673ice melt as a result of
674
67500:09:16.656,00:09:19.359
676climate change scientists
677believe that the whales
678
67900:09:19.359,00:09:22.662
680were able to pass into the
681Atlantic but caution it
682
68300:09:22.662,00:09:26.032
684doesn't mean the climate
685change is a good thing.
686
68700:09:26.032,00:09:27.500
688>>>HOWARD ROSENBAUM: Just
689because climate change is
690
69100:09:27.500,00:09:30.970
692in essence facilitating
693you know a movement of one
694
69500:09:30.970,00:09:33.807
696population or another does
697not mean it's positive.
698
69900:09:33.807,00:09:36.843
700In fact there are really
701Arctic dependent species
702
70300:09:36.843,00:09:38.845
704that will suffer
705due to warming seas.
706
70700:09:40.113,00:09:42.115
708>>>ANDREW FALZON: I'm
709Andrew Falzon for Science & U!
710
71100:09:44.717,00:09:46.019
712>>>CAROL ANNE RIDDELL: As
713you can see here at Inwood
714
71500:09:46.019,00:09:49.756
716Hill Park even we urban dwellers
717are surrounded by nature.
718
71900:09:49.756,00:09:52.192
720Our next story is about
721the struggle between the
722
72300:09:52.192,00:09:54.394
724natural world and
725the manmade one.
726
72700:09:54.394,00:09:57.564
728Our Tinabeth Pina sat down
729with Ted Steinberg author
730
73100:09:57.564,00:09:58.898
732of Gotham Unbound.
733
73400:10:01.501,00:10:03.303
735>>>TED STEINBERG: Greater
736New York's one of the most
737
73800:10:03.303,00:10:06.005
739altered environments on
740the face of the earth.
741
74200:10:06.005,00:10:09.776
743It's not an accident that
744Manhattan today is some
745
74600:10:09.776,00:10:13.279
747seventeen hundred football
748fields larger than it was
749
75000:10:13.279,00:10:16.616
751estimated to be back at
752the time that Henry Hudson
753
75400:10:16.616,00:10:19.652
755came to visit in 1609.
756
75700:10:19.652,00:10:21.955
758>>>TINABETH PINA: How did
759New York City become one of the
760
76100:10:21.955,00:10:27.127
762most dramatically transformed
763pieces of land in the world?
764
76500:10:27.127,00:10:29.562
766>>>TED STEINBERG: Back
767in the 1680's when the
768
76900:10:29.562,00:10:34.167
770British created a market in
771underwater land into something
772
77300:10:34.167,00:10:37.137
774that could be bought and
775sold just like anything else.
776
77700:10:37.137,00:10:39.939
778The British colonists
779paved the way for the
780
78100:10:39.939,00:10:44.677
782enormous expansion of New
783York at the expense of the sea.
784
78500:10:44.677,00:10:47.614
786Another major turning
787point in New York's
788
78900:10:47.614,00:10:50.450
790environmental history
791happened in the middle of
792
79300:10:50.450,00:10:54.621
794the nineteenth century
795when the city turned to
796
79700:10:54.621,00:10:58.758
798sources of water located
799outside the local environment.
800
80100:10:58.758,00:11:02.595
802First they turn and tap
803the waters of the Croton
804
80500:11:02.595,00:11:05.832
806Watershed and then the
807powers that be went on to
808
80900:11:05.832,00:11:10.503
810conquer the waters of
811the Catskills and the Delaware.
812
81300:11:10.503,00:11:13.173
814By turning to outside
815sources of water one of
816
81700:11:13.173,00:11:16.809
818the by products of this is
819that they could now pave
820
82100:11:16.809,00:11:19.112
822over the natural
823features of the land.
824
82500:11:19.112,00:11:23.917
826Brooks, springs, ponds to
827supply the inhabitants of
828
82900:11:23.917,00:11:28.054
830Manhattan with water and
831this incredible natural
832
83300:11:28.054,00:11:33.159
834density gave way to
835enormous unnatural density
836
83700:11:33.159,00:11:36.529
838by which I mean instead
839of oysters now you had all
840
84100:11:36.529,00:11:38.565
842these human beings
843pack, jam packed,
844
84500:11:38.565,00:11:40.433
846into the New York
847metropolitan area.
848
84900:11:40.433,00:11:44.470
85019 million people stuffed
851into less than 1% of the
852
85300:11:44.470,00:11:47.106
854land area of the
855United States.
856
85700:11:47.106,00:11:48.074
858>>>TINABETH PINA: So what
859happened to
860
86100:11:48.074,00:11:49.175
862those natural inhabitants?
863
86400:11:49.175,00:11:51.477
865>>>TED STEINBERG: What
866happened to the oyster
867
86800:11:51.477,00:11:54.647
869reefs and the marshlands,
870they were filled in as
871
87200:11:54.647,00:11:57.150
873part of this major
874reclamation process that
875
87600:11:57.150,00:12:01.220
877was going on here to
878make way for real estate,
879
88000:12:01.220,00:12:04.224
881roads, parks and
882of course airports.
883
88400:12:04.224,00:12:06.492
885I mean, if you take a look
886at a place like Jamaica Bay
887
88800:12:06.492,00:12:09.028
889as late as 1900 there
890was about twenty five
891
89200:12:09.028,00:12:11.464
893hundred square miles
894of marshland there.
895
89600:12:11.464,00:12:15.201
897By 1910 the amount of
898marshland in Jamaica Bay
899
90000:12:15.201,00:12:19.205
901had been reduced to about
902three square miles and the
903
90400:12:19.205,00:12:22.775
905same thing went on
906throughout the other major
907
90800:12:22.775,00:12:27.046
909saltmarsh complexes throughout
910the New York metro area.
911
91200:12:27.046,00:12:28.948
913>>>TINABETH PINA: The
914decision to transform the
915
91600:12:28.948,00:12:32.085
917waterscape and landscape
918to accommodate 6% of the
919
92000:12:32.085,00:12:36.055
921nation's entire population
922has had several serious
923
92400:12:36.055,00:12:38.491
925implications for
926New York City.
927
92800:12:38.491,00:12:40.226
929>>>TED STEINBERG: New York
930has been thumbing its nose
931
93200:12:40.226,00:12:46.165
933at the sea for some 300
934years and now the city is
935
93600:12:46.165,00:12:49.369
937confronted with
938global climate change,
939
94000:12:49.369,00:12:52.672
941with the prospect of
942increasing sea level.
943
94400:12:52.672,00:12:56.509
945The mid range prediction
946is that by the middle of
947
94800:12:56.509,00:13:00.880
949the twenty first century
950sea level around New York
951
95200:13:00.880,00:13:05.151
953is going to increase
954anywhere from 11 to 21 inches.
955
95600:13:05.151,00:13:08.788
957New York is on a collision
958course here with disaster and in
959
96000:13:08.788,00:13:14.560
961particular with respect to the
962issue of coastal flooding.
963
96400:13:14.560,00:13:18.731
965Hurricane Sandy in 2012 was
966most certainly a wake up call.
967
96800:13:18.731,00:13:21.100
969According to the Federal
970Emergency Management
971
97200:13:21.100,00:13:24.537
973Agency some four hundred
974thousand New Yorkers
975
97600:13:24.537,00:13:29.442
977living in the 100 year
978floodplain with a 1% risk
979
98000:13:29.442,00:13:31.411
981of flood in
982any given year,
983
98400:13:31.411,00:13:34.714
985that's more people living
986in the floodplain with the
987
98800:13:34.714,00:13:38.317
989risk of being swamped than
990in any other city in the
991
99200:13:38.317,00:13:41.454
993United States
994including New Orleans.
995
99600:13:41.454,00:13:43.690
997>>>TINABETH PINA: Do you
998think there's a chance or
999
100000:13:43.690,00:13:46.459
1001any possibility sometime
1002in the future that
1003
100400:13:46.459,00:13:50.430
1005Manhattan may go back
1006to what it once was?
1007
100800:13:50.430,00:13:52.598
1009>>>TED STEINBERG:
1010Well it already did.
1011
101200:13:52.598,00:13:54.834
1013That's what happened
1014during Hurricane Sandy.
1015
101600:13:54.834,00:13:58.938
1017Manhattan returned for a
1018brief moment to the watery
1019
102000:13:58.938,00:14:01.741
1021world from
1022which it emerged.
1023
102400:14:01.741,00:14:06.546
1025It's important that we
1026have some understanding
1027
102800:14:06.546,00:14:09.582
1029given the pace of
1030urbanization as to what
1031
103200:14:09.582,00:14:12.285
1033the ecological
1034ramifications are.
1035
103600:14:12.285,00:14:16.055
1037This idea of New York
1038as an proposition really
1039
104000:14:16.055,00:14:20.827
1041takes off and it continues
1042to shape and guide
1043
104400:14:20.827,00:14:22.829
1045New York's relations with the
1046environment to this very day.
1047
104800:14:26.265,00:14:28.067
1049>>>CAROL ANNE RIDDELL: We
1050live in and with nature
1051
105200:14:28.067,00:14:32.105
1053but its power over us can be
1054both awe inspiring and tragic.
1055
105600:14:32.105,00:14:35.408
1057From volcanoes and earthquakes
1058to hurricanes and tornadoes.
1059
106000:14:35.408,00:14:38.311
1061One thing we can do try
1062to understand the science
1063
106400:14:38.311,00:14:40.313
1065behind those
1066natural disasters.
1067
106800:14:44.684,00:14:46.352
1069>>>CAROL ANNE RIDDELL:
1070Despite all our progress as
1071
107200:14:46.352,00:14:49.088
1073people the enormity of nature's
1074power can overwhelm us.
1075
107600:14:49.088,00:14:53.593
1077Perhaps no more so than when
1078we face natural disasters.
1079
108000:14:53.593,00:14:55.762
1081A current exhibition at
1082the American Museum of
1083
108400:14:55.762,00:14:58.765
1085Natural History
1086captures exactly that.
1087
108800:14:58.765,00:15:01.033
1089Called Nature's Fury:
1090The Science of Natural
1091
109200:15:01.033,00:15:03.436
1093Disasters, it is an
1094in-depth look at the
1095
109600:15:03.436,00:15:06.406
1097potential danger
1098we live with daily.
1099
110000:15:06.406,00:15:09.909
1101>>>ED MATHEZ: Natural
1102hazards are a consequence
1103
110400:15:09.909,00:15:12.645
1105of us living on a dynamic
1106planet and there is no
1107
110800:15:12.645,00:15:16.182
1109escaping them, those
1110risks will always exist.
1111
111200:15:16.182,00:15:17.817
1113>>>CAROL ANNE RIDDELL: Ed
1114Mathez, the curator of
1115
111600:15:17.817,00:15:20.186
1117Nature's Fury, explains
1118learning about these
1119
112000:15:20.186,00:15:22.388
1121disasters can help protect us.
1122
112300:15:22.388,00:15:23.556
1124>>>ED MATHEZ:
1125Understanding the science
1126
112700:15:23.556,00:15:27.527
1128is really important because
1129it helps us determine the risk.
1130
113100:15:27.527,00:15:31.798
1132You know risk is really a
1133combination of probability and
1134
113500:15:31.798,00:15:35.101
1136consequence. So that's where
1137science can help us.
1138
113900:15:35.101,00:15:37.103
1140>>>CAROL ANNE RIDDELL:
1141Earthquakes, volcanoes,
1142
114300:15:37.103,00:15:39.105
1144tornadoes and hurricanes are
1145all on
1146
114700:15:39.105,00:15:41.107
1148display here explained
1149though the stories of
1150
115100:15:41.107,00:15:44.177
1152people in communities as well
1153as interactive exhibitions.
1154
115500:15:44.177,00:15:46.345
1156Visitors can stand in
1157the eye of a tornado,
1158
115900:15:46.345,00:15:48.948
1160create a virtual
1161volcano and even their own
1162
116300:15:48.948,00:15:51.551
1164earthquake by jumping
1165next to a seismometer.
1166
116700:15:51.551,00:15:53.553
1168I'm going to make my
1169own earthquake here.
1170
117100:15:53.553,00:15:56.889
1172It's going to be huge. See that?
1173
117400:15:59.926,00:16:02.161
1175Hurricane Sandy is also
1176part of the exhibition an
1177
117800:16:02.161,00:16:04.897
1179example of Nature's Fury
1180that many in our area are
1181
118200:16:04.897,00:16:06.566
1183all too familiar with.
1184
118500:16:06.566,00:16:08.968
1186The museum offers an
1187interactive map exploring
1188
118900:16:08.968,00:16:10.970
1190how New York City
1191was vulnerable.
1192
119300:16:10.970,00:16:13.973
1194Sandy demonstrates what
1195some scientists tell us.
1196
119700:16:13.973,00:16:17.677
1198Back in 2011 well before
1199the storm we brought you
1200
120100:16:17.677,00:16:19.912
1202an interview with
1203Professor Nicholas Coch,
1204
120500:16:19.912,00:16:23.249
1206an expert on hurricanes
1207who said New York City
1208
120900:16:23.249,00:16:25.518
1210could be hit hard.
1211
121200:16:25.518,00:16:27.053
1213>>>NICOLAS COCH: We
1214know that if something has
1215
121600:16:27.053,00:16:29.689
1217happened before it's
1218capable of happening again.
1219
122000:16:29.689,00:16:33.292
1221If it hasn't happened in a long
1222time it's going to happen soon.
1223
122400:16:33.292,00:16:37.530
1225This right angle makes the
1226New York area one of the
1227
122800:16:37.530,00:16:41.200
1229most dangerous places in
1230America for a hurricane to
1231
123200:16:41.200,00:16:45.571
1233come in based on the
1234generation of flood surge.
1235
123600:16:45.571,00:16:48.040
1237>>>ED MATHEZ: New York
1238is one of the places that
1239
124000:16:48.040,00:16:50.343
1241should expect you
1242know pretty severe,
1243
124400:16:50.343,00:16:55.014
1245pretty large hurricane every,
1246you know, few decades or so.
1247
124800:16:55.014,00:16:57.016
1249>>>CAROL ANNE RIDDELL:
1250So we are not out of the clear?
1251
125200:16:57.016,00:16:59.018
1253>>>ED MATHEZ: Well there's no
1254such thing as being out of the
1255
125600:16:59.018,00:17:02.054
1257clear. There is such a thing as
1258taking you know sensible
1259
126000:17:02.054,00:17:04.390
1261mitigating actions but
1262there's no such thing as
1263
126400:17:04.390,00:17:05.458
1265being out of the clear.
1266
126700:17:05.458,00:17:07.460
1268>>>CAROL ANNE RIDDELL: There is
1269plenty of science here beyond
1270
127100:17:07.460,00:17:09.629
1272hurricanes. The exhibit looks
1273at plate tectonics,
1274
127500:17:09.629,00:17:11.964
1276the theory of the movement
1277of the plates that make up
1278
127900:17:11.964,00:17:13.532
1280Earth's outer skin.
1281
128200:17:13.532,00:17:16.469
1283And did you know that
1284about 75% of all tornadoes
1285
128600:17:16.469,00:17:20.373
1287take place in an area covering
12888 states in the central U.S.
1289
129000:17:20.373,00:17:22.141
1291known as Tornado Alley.
1292
129300:17:22.141,00:17:24.343
1294And while some natural
1295disasters strike with
1296
129700:17:24.343,00:17:26.646
1298little warning,
1299others can give scientists
1300
130100:17:26.646,00:17:28.648
1302significant
1303advanced notice.
1304
130500:17:28.648,00:17:30.650
1306>>>ED MATHEZ: Volcanic
1307eruptions are a different
1308
130900:17:30.650,00:17:31.651
1310kind of hazard.
1311
131200:17:31.651,00:17:33.653
1313We do have forewarning,
1314typically we have
1315
131600:17:33.653,00:17:39.191
1317forewarning of weeks to days
1318to hours before eruption.
1319
132000:17:39.191,00:17:41.394
1321>>>CAROL ANNE RIDDELL: But
1322science is only one part
1323
132400:17:41.394,00:17:44.330
1325of the learning here so is
1326human loss and resilience.
1327
132800:17:44.330,00:17:48.134
1329For example Isaac Cline, a
1330meteorologist in Galveston
1331
133200:17:48.134,00:17:51.904
1333Texas. The exhibit explains he
1334warned of a hurricane in
1335
133600:17:51.904,00:17:56.709
13371900 that killed thousands,
1338including his pregnant wife.
1339
134000:17:56.709,00:17:58.711
1341>>>ED MATHEZ: These are
1342human tragedies and it's
1343
134400:17:58.711,00:18:01.147
1345easy to forget that when
1346we you know wander through
1347
134800:18:01.147,00:18:04.650
1349an exhibit like this that has
1350a lot of you know interesting
1351
135200:18:04.650,00:18:07.853
1353things. But fundamentally this
1354isn't just interesting,
1355
135600:18:07.853,00:18:09.855
1357it's also a tragedy. We can
1358never forget that.
1359
136000:18:12.358,00:18:14.360
1361>>>CAROL ANNE RIDDELL: You
1362still have time to check
1363
136400:18:14.360,00:18:18.264
1365out Nature's Fury the exhibition
1366runs through August 9th.
1367
136800:18:18.264,00:18:21.067
1369Finally today the push
1370is not to cool down the
1371
137200:18:21.067,00:18:23.803
1373environment and reduce
1374greenhouse gas emissions
1375
137600:18:23.803,00:18:27.173
1377and a city program is
1378tackling that problem one
1379
138000:18:27.173,00:18:29.508
1381roof at a time. Mike
1382Gilliam has more.
1383
138400:18:31.444,00:18:33.446
1385>>>MIKE GILLIAM: During
1386the summer months rooftops
1387
138800:18:33.446,00:18:36.015
1389like this can be steaming
1390hot and that could raise
1391
139200:18:36.015,00:18:37.116
1393some serious issues.
1394
139500:18:37.116,00:18:39.952
1396But one group of people is
1397trying to change all that
1398
139900:18:39.952,00:18:43.990
1400through a program
1401called Cool Roofs.
1402
140300:18:43.990,00:18:46.292
1404>>>STUART GAFFIN: It's a
1405great program and it's
1406
140700:18:46.292,00:18:50.162
1408goal is to sort of take
1409out a heat source that's
1410
141100:18:50.162,00:18:52.365
1412really really widespread
1413in this city and in every
1414
141500:18:52.365,00:18:53.566
1416city in the world frankly.
1417
141800:18:53.566,00:18:55.568
1419>>>MIKE GILLIAM: Stuart
1420Gaffin is a professor at
1421
142200:18:55.568,00:18:58.704
1423Columbia University
1424who also works for NASA.
1425
142600:18:58.704,00:19:00.806
1427He says the principle is
1428simple and something we
1429
143000:19:00.806,00:19:02.908
1431all learned in
1432second grade.
1433
143400:19:02.908,00:19:05.778
1435White reflects the sun
1436and heat while dark colors
1437
143800:19:05.778,00:19:10.282
1439absorb the sun's rays causing
1440surface temperatures to rise.
1441
144200:19:10.282,00:19:12.284
1443>>>STUART GAFFIN: Because
1444of that the dark surfaces
1445
144600:19:12.284,00:19:14.720
1447heat up tremendously and I
1448spent a tremendous amount
1449
145000:19:14.720,00:19:16.722
1451time on rooftops and
1452I've seen them reach
1453
145400:19:16.722,00:19:20.593
1455temperatures up to 190 degrees
1456and routinely exceed 170.
1457
145800:19:20.593,00:19:22.595
1459>>>MIKE GILLIAM: And with
1460the roof painted white
1461
146200:19:22.595,00:19:23.596
1463what do you see?
1464
146500:19:23.596,00:19:25.598
1466>>>STUART GAFFIN: So if it
1467was about eighty degrees
1468
146900:19:25.598,00:19:27.600
1470out it would probably get
1471up to about ninety maybe
1472
147300:19:27.600,00:19:30.102
1474one hundred but you're
1475easily shaving off seventy
1476
147700:19:30.102,00:19:32.738
1478degrees Fahrenheit in that
1479peak sunlight condition.
1480
148100:19:32.738,00:19:34.740
1482>>>MIKE GILLIAM: Gaffin
1483says that can produce huge
1484
148500:19:34.740,00:19:37.043
1486benefits when it comes to
1487global warming and energy
1488
148900:19:37.043,00:19:40.379
1490consumption. Former Con Edison
1491sustainability manager
1492
149300:19:40.379,00:19:44.550
1494Morgan Scott says the company
1495has been on board for years.
1496
149700:19:44.550,00:19:46.552
1498>>>MORGAN SCOTT: The
1499reason why we're putting
1500
150100:19:46.552,00:19:48.554
1502and helping and involved
1503in this program is because
1504
150500:19:48.554,00:19:51.357
1506we really believe that
1507our customers will see benefits.
1508
150900:19:51.357,00:19:53.793
1510So when we put a white
1511roof on a building and we
1512
151300:19:53.793,00:19:55.961
1514reduce the building's
1515temperature over time we
1516
151700:19:55.961,00:19:58.197
1518reduce the amount of
1519energy that a building
1520
152100:19:58.197,00:20:00.933
1522needs to consume to keep
1523the building cool so our
1524
152500:20:00.933,00:20:02.234
1526customers are
1527saving money.
1528
152900:20:02.234,00:20:04.236
1530>>>MIKE GILLIAM:
1531Scott also points out the
1532
153300:20:04.236,00:20:07.106
1534environmental benefits of
1535the Cool Roofs program.
1536
153700:20:07.106,00:20:09.108
1538>>>MORGAN SCOTT: When you
1539reduce the energy that's
1540
154100:20:09.108,00:20:11.711
1542consumed you have an
1543emissions reduction on the
1544
154500:20:11.711,00:20:15.448
1546backend and so we like to
1547see that with emissions
1548
154900:20:15.448,00:20:17.450
1550reduction you have
1551improved air quality.
1552
155300:20:17.450,00:20:19.452
1554>>>MIKE GILLIAM: The
1555program is run through the
1556
155700:20:19.452,00:20:21.787
1558city and started off with
1559a simple pilot program in
1560
156100:20:21.787,00:20:24.590
15622009 in Long Island City.
1563
156400:20:24.590,00:20:28.027
1565They wanted to see if Cool Roofs
1566would be effective in New York.
1567
156800:20:28.027,00:20:30.029
1569>>>GERALDINE SWEENEY:
1570Our goal was to coat one
1571
157200:20:30.029,00:20:32.998
1573hundred thousand square
1574feet of roof top and at
1575
157600:20:32.998,00:20:35.101
1577the same time work with
1578the scientific community
1579
158000:20:35.101,00:20:38.104
1581to do some initial
1582analysis on what the
1583
158400:20:38.104,00:20:40.940
1585benefits are of
1586coating a roof white.
1587
158800:20:40.940,00:20:45.244
1589And that pilot proved so
1590successful that the city
1591
159200:20:45.244,00:20:48.147
1593launched a full blown
1594program in 2010 with the
1595
159600:20:48.147,00:20:51.150
1597goal of coating one
1598million square feet per
1599
160000:20:51.150,00:20:55.421
1601year in buildings all over
1602the city to help the urban
1603
160400:20:55.421,00:20:59.759
1605heat island effect that
1606is a phenomenon in cities.
1607
160800:20:59.759,00:21:01.694
1609>>>MIKE GILLIAM: A heat
1610island is a location that
1611
161200:21:01.694,00:21:03.696
1613is hotter because
1614it holds the heat.
1615
161600:21:03.696,00:21:06.031
1617So far according to the
1618Cool Roofs website more
1619
162000:21:06.031,00:21:09.635
1621than six million square feet of
1622rooftops have been painted.
1623
162400:21:09.635,00:21:12.071
1625Now that would be the
1626equivalent of close to one
1627
162800:21:12.071,00:21:15.007
1629hundred twenty
1630football fields.
1631
163200:21:15.007,00:21:17.243
1633The Harlem Congregation
1634for Community Improvement
1635
163600:21:17.243,00:21:20.346
1637has a number of buildings
1638in the program and they've
1639
164000:21:20.346,00:21:22.248
1641seen roof
1642temperatures drop.
1643
164400:21:22.248,00:21:24.250
1645>>>MALCOLM PUNTER: The
1646city was ahead of the
1647
164800:21:24.250,00:21:26.218
1649curve on this initiative.
1650
165100:21:26.218,00:21:28.821
1652They actually reached out
1653to organizations such as
1654
165500:21:28.821,00:21:31.257
1656HCCI, asked us
1657to participate,
1658
165900:21:31.257,00:21:34.426
1660we thought it was a great
1661idea and we participated
1662
166300:21:34.426,00:21:36.862
1664and partnered over
1665a two-year period.
1666
166700:21:36.862,00:21:38.864
1668>>>MIKE GILLIAM: Over
1669time that should both cut
1670
167100:21:38.864,00:21:40.866
1672energy consumption
1673in the buildings,
1674
167500:21:40.866,00:21:43.235
1676saving dollars, and it
1677should also help to cool
1678
167900:21:43.235,00:21:46.605
1680the areas and in fact
1681the city and the planet.
1682
168300:21:46.605,00:21:49.542
1684Program organizers past
1685and present say the
1686
168700:21:49.542,00:21:52.344
1688Cool Roofs program works.
1689
169000:21:52.344,00:21:54.713
1691>>>WENDY DESSY: My message is
1692that every roof should be
1693
169400:21:54.713,00:21:59.185
1695white. This is a benefit to all
1696New Yorkers, to every resident.
1697
169800:21:59.185,00:22:02.755
1699Everyone who lives here. It's
1700very easy to do, join us,
1701
170200:22:02.755,00:22:07.026
1703come volunteer with
1704us, coat your own roof,
1705
170600:22:07.026,00:22:11.397
1707go to our website and see how
1708you could become more involved.
1709
171000:22:11.397,00:22:13.399
1711>>>MIKE GILLIAM: So the
1712experts agree a little bit
1713
171400:22:13.399,00:22:16.135
1715of the special white paint
1716and some elbow grease can
1717
171800:22:16.135,00:22:20.072
1719help to cool down our city
1720and do all of us a lot of good.
1721
172200:22:20.072,00:22:22.074
1723I'm Mike Gilliam
1724for Science & U!
1725
172600:22:24.610,00:22:26.612
1727>>>CAROL ANNE RIDDELL: Think
1728about the size of New York City.
1729
173000:22:26.612,00:22:29.748
1731Millions of people. Now think
1732about how much water we use.
1733
173400:22:29.748,00:22:32.818
1735But where does all that water go
1736once it heads down the drain?
1737
173800:22:32.818,00:22:35.654
1739For most of us it's out of
1740sight, out of mind.
1741
174200:22:35.654,00:22:38.991
1743Managing and purifying New Yorks
1744water system is a massive
1745
174600:22:38.991,00:22:42.761
1747undertakng and the key might
1748just be harnessing the power
1749
175000:22:42.761,00:22:44.763
1751of tiny bacteria. Ari Goldberg
1752explains.
1753
175400:22:47.833,00:22:49.835
1755>>>ARI GOLDBERG: I'm Ari
1756Goldberg. Every day,
1757
175800:22:49.835,00:22:53.072
1759New York City generates 1.3
1760billion gallons of wastewater.
1761
176200:22:53.072,00:22:55.541
1763That's four hundred seventy
1764four and a half billion
1765
176600:22:55.541,00:22:58.644
1767gallons a year. Whenever
1768rain washes dirt into the sewer,
1769
177000:22:58.644,00:23:01.780
1771whenever you flush a toilet,
1772take a shower, do the laundry,
1773
177400:23:01.780,00:23:04.550
1775it ends up at one of New
1776York's 14 treatment plants.
1777
177800:23:04.550,00:23:07.453
1779It's an expensive and involved
1780process, one that the city
1781
178200:23:07.453,00:23:09.455
1783is trying to make
1784more efficient.
1785
178600:23:09.455,00:23:14.393
1787>>>JOHN FILLOS: We
1788basically have been focusing on
1789
179000:23:14.393,00:23:17.663
1791applied research meaning
1792that we're looking to
1793
179400:23:17.663,00:23:19.832
1795solve real problems.
1796
179700:23:19.832,00:23:21.834
1798>>>ARI GOLDBERG: Professor
1799John Fillos and his team
1800
180100:23:21.834,00:23:23.903
1802at City College have been
1803tapped by the New York City
1804
180500:23:23.903,00:23:26.405
1806Department of Environmental
1807Protection to develop a
1808
180900:23:26.405,00:23:29.141
1810cheaper and greener technology
1811for the city's wastewater
1812
181300:23:29.141,00:23:32.811
1814treatment. Specifically, the
1815removal of excess nitrogen with
1816
181700:23:32.811,00:23:35.180
1818a tiny bacteria called anammox.
1819
182000:23:35.180,00:23:37.449
1821>>>JOHN FILLOS: When you
1822look at the nitrogen that
1823
182400:23:37.449,00:23:41.620
1825originates from wastewater,
1826it's in the form of ammonia
1827
182800:23:41.620,00:23:45.924
1829and it's organic nitrogen.
1830So when it's released into the
1831
183200:23:45.924,00:23:48.527
1833environment, whether it's
1834Jamaica Bay or
1835
183600:23:48.527,00:23:51.630
1837Long Island Sound, when
1838you go into an excess amount
1839
184000:23:51.630,00:23:54.933
1841is when you create the problems.
1842
184300:23:54.933,00:23:56.935
1844>>>ARI GOLDBERG: It sounds
1845almost counter intuitive
1846
184700:23:56.935,00:23:59.238
1848at first. Nitrogen is an
1849essential nutrient for life
1850
185100:23:59.238,00:24:02.508
1852after all. Conceptually when we
1853think of wastewater we think
1854
185500:24:02.508,00:24:06.312
1856of sludge and trash pollution,
1857but nutrient pollution?
1858
185900:24:06.312,00:24:08.881
1860However, it turns
1861out when excess nutrients
1862
186300:24:08.881,00:24:12.418
1864from household, industrial
1865and farming products end up
1866
186700:24:12.418,00:24:14.887
1868in our waterways, they can
1869disrupt oxygen levels,
1870
187100:24:14.887,00:24:16.889
1872marine life, and our
1873own drinking supply.
1874
187500:24:16.889,00:24:18.958
1876>>>JOHN FILLOS: I guess
1877in some way people say
1878
187900:24:18.958,00:24:21.427
1880everything in moderation
1881is good so when we talk
1882
188300:24:21.427,00:24:24.830
1884about removing nitrogen
1885we're not talking about
1886
188700:24:24.830,00:24:28.334
1888reducing it to zero. We're
1889reducing it to a level,
1890
189100:24:28.334,00:24:33.205
1892which will sustain biological
1893activity in the waterways.
1894
189500:24:33.205,00:24:35.207
1896>>>ARI GOLDBERG: The goal
1897is to turn these toxic
1898
189900:24:35.207,00:24:37.209
1900levels of nitrogen
1901chemicals, for example
1902
190300:24:37.209,00:24:40.512
1904ammonia or nitrate, back
1905into pure safe nitrogen
1906
190700:24:40.512,00:24:43.749
1908gas, which will escape
1909safely back into the atmosphere.
1910
191100:24:43.749,00:24:46.452
1912Conventionally this process
1913took massive amounts of
1914
191500:24:46.452,00:24:49.555
1916energy and resources but
1917Professor Fillos' team is
1918
191900:24:49.555,00:24:52.057
1920harnessing the power of a
1921bacterial family known as
1922
192300:24:52.057,00:24:54.560
1924anammox to do the work for them.
1925
192600:24:54.560,00:24:56.562
1927>>>JOHN FILLOS: What we're
1928doing is we're trying to
1929
193000:24:56.562,00:24:58.697
1931find the most cost
1932effective way of doing it,
1933
193400:24:58.697,00:25:00.933
1935which means the least
1936amount of energy,
1937
193800:25:00.933,00:25:04.770
1939the least amount of chemicals
1940that you need. And what
1941
194200:25:04.770,00:25:07.005
1943happens, what we have
1944discovered that this
1945
194600:25:07.005,00:25:11.710
1947bacteria anammox is
1948capable of transforming
1949
195000:25:11.710,00:25:16.281
1951the nitrate to nitrogen
1952gas under anaerobic
1953
195400:25:16.281,00:25:19.852
1955conditions with the
1956minimum impact in terms of
1957
195800:25:19.852,00:25:23.655
1959energy demand, in
1960terms of chemical demand.
1961
196200:25:23.655,00:25:25.657
1963>>>ARI GOLDBERG: The
1964anammox family of bacteria is a
1965
196600:25:25.657,00:25:28.327
1967relatively new find having only
1968been identified in the 1990's.
1969
197000:25:28.327,00:25:32.765
1971Early applications began in
1972Europe but now the City College
1973
197400:25:32.765,00:25:35.801
1975scientists are building that
1976technology here starting with
1977
197800:25:35.801,00:25:37.803
1979small scale reactors in the lab.
1980
198100:25:37.803,00:25:40.973
1982>>>JOHN FILLOS: Basically this
1983is a scale model of the reactor
1984
198500:25:40.973,00:25:43.776
1986that is going to eventually be
1987built to treat the
1988
198900:25:43.776,00:25:49.448
1990waste stream. We start with
1991basically clean media,
1992
199300:25:49.448,00:25:53.919
1994and the purpose of
1995this media is to immobilize the
1996
199700:25:53.919,00:25:58.424
1998anammox bacteria
1999by growing on its surface.
2000
200100:25:58.424,00:26:00.359
2002>>>ARI GOLDBERG: Anammox
2003is a very slow growing
2004
200500:26:00.359,00:26:02.594
2006bacteria and getting it to
2007flourish on these plastic
2008
200900:26:02.594,00:26:04.963
2010pieces was no easy task.
2011
201200:26:04.963,00:26:07.299
2013>>>JOHN FILLOS: So that
2014process of developing this
2015
201600:26:07.299,00:26:12.971
2017bio-film on this clean
2018surface took about 6 months.
2019
202000:26:12.971,00:26:16.708
2021Okay. This is how
2022slow the process is.
2023
202400:26:16.708,00:26:20.946
2025And, to tell you the truth,
2026halfway through we became
2027
202800:26:20.946,00:26:23.882
2029so frustrated that we
2030thought it was never going
2031
203200:26:23.882,00:26:26.185
2033to happen but it
2034eventually happened and it
2035
203600:26:26.185,00:26:27.986
2037worked very very well.
2038
203900:26:27.986,00:26:29.988
2040>>>MAHSA MERHDAD: The
2041challenges we face during
2042
204300:26:29.988,00:26:34.193
2044the operation was specifically
2045related to the wastewater
2046
204700:26:34.193,00:26:38.497
2048characteristics in New York,
2049that we didn't expect
2050
205100:26:38.497,00:26:40.532
2052it in the beginning.
2053
205400:26:40.532,00:26:42.534
2055>>>ARI GOLDBERG: Despite
2056these obstacles, once they
2057
205800:26:42.534,00:26:44.837
2059had nurtured a population
2060of anammox, it was time to
2061
206200:26:44.837,00:26:47.106
2063incorporate them into the
2064waste treatment process.
2065
206600:26:47.106,00:26:49.808
2067Mahsa Merhdad is a
2068Ph.D. student working
2069
207000:26:49.808,00:26:51.443
2071with Professor Fillos.
2072
207300:26:51.443,00:26:53.445
2074>>>MAHSA MERHDAD: So here
2075on the screen we can take
2076
207700:26:53.445,00:26:59.751
2078a look into the controls
2079here. In the summer we can
2080
208100:26:59.751,00:27:03.255
2082temperature, ph, d.o., of
2083the reactor and also we
2084
208500:27:03.255,00:27:09.294
2086can control the pumps. We
2087can calibrate the system.
2088
208900:27:09.294,00:27:11.296
2090>>>ARI GOLDBERG: So as
2091nitrogen waste is fed into
2092
209300:27:11.296,00:27:13.966
2094the reactor a critical
2095mass of bacteria is now
2096
209700:27:13.966,00:27:16.568
2098able to feed on that waste
2099converting it to harmless
2100
210100:27:16.568,00:27:19.004
2102nitrogen gas. And in
2103the process, cleaning our
2104
210500:27:19.004,00:27:21.373
2106water. And the future
2107looks promising for this
2108
210900:27:21.373,00:27:24.710
2110technology, using less
2111resources and costing less
2112
211300:27:24.710,00:27:26.712
2114money then
2115conventional methods.
2116
211700:27:26.712,00:27:29.615
2118>>>MAHSA MERHDAD: Anammox
2119for its growth doesn't
2120
212100:27:29.615,00:27:33.785
2122need any external organic
2123carbon and the demand for
2124
212500:27:33.785,00:27:38.757
2126oxygen is also reduced by
212760%. It is more sustainable,
2128
212900:27:38.757,00:27:41.360
2130more cost effective-
2131
213200:27:41.360,00:27:43.829
2133>>>JOHN FILLOS: The
2134next phase was to build a
2135
213600:27:43.829,00:27:47.733
2137larger scale, a pilot
2138unit, which we did this at
2139
214000:27:47.733,00:27:51.570
2141the 26th Ward Wastewater
2142Treatment Plant.
2143
214400:27:51.570,00:27:54.907
2145That project has also been
2146completed. It demonstrated
2147
214800:27:54.907,00:27:57.943
2149the practicality and the
2150cost effectiveness of the
2151
215200:27:57.943,00:28:00.879
2153process and the city of
2154New York is in the process
2155
215600:28:00.879,00:28:04.783
2157of now putting together a
2158request for proposal for a
2159
216000:28:04.783,00:28:07.252
2161full scale operation.
2162
216300:28:07.252,00:28:09.254
2164>>>ARI GOLDBERG: While
2165this full scale operation will
2166
216700:28:09.254,00:28:12.124
2168still take a while to implement,
2169thanks to Professor Fillos'
2170
217100:28:12.124,00:28:15.260
2172team and a tiny bacteria
2173called anammox, within the next
2174
217500:28:15.260,00:28:17.529
2176few years we can
2177expect all of New York City's
2178
217900:28:17.529,00:28:20.499
2180wastewater treatment
2181plants to be both more efficient
2182
218300:28:20.499,00:28:23.268
2184and more environmentally
2185friendly. From City College,
2186
218700:28:23.268,00:28:25.270
2188I'm Ari Goldberg
2189for Science & U!
2190
219100:28:27.239,00:28:28.674
2192>>>CAROL ANNE RIDDELL: That's
2193our show for today.
2194
219500:28:28.674,00:28:31.076
2196Join us next month for
2197a fascinating look at
2198
219900:28:31.076,00:28:33.078
2200engineering in our
2201every day lives.
2202
220300:28:33.078,00:28:35.847
2204From your commute to your
2205local Girl Scout troop.
2206
220700:28:35.847,00:28:38.183
2208I'm Carol Anne Riddell, thanks
2209for joining us for Science & U!
2210
221100:28:40.085,00:28:46.091
2212♪♪ [THEME MUSIC] ♪♪
2213