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Monitoring of the East China Sea Related to the Three Gorges Dam Operation by MODIS Ichio Asanuma, JongGeol Park, Yoshizumi Yasuda, Keitaro Hara Tokyo University of Information Sciences 1200-2, Yato, Wakaba, Chiba, Japan 265-8501 [email protected] International EOS/NPP Direct Read out Meeting, Benevento Italy, 3-6 October 2005 Graduate School of Business Administration and Information Science Faculty of Informatics: Department of Information Systems Department of Environmental Information, Department of Business Administration Department of Media and Cultural Studies Tokyo University of Information Sciences 1.MODIS data processing at The Tokyo Unive rsity of Information Sciences The Tokyo University of Information Sciences is operating the direct receiving station of MODIS d ata and archiving oceanographic data as well as land data. Chlorophyll-a concentration and sea surface temperature are data mapped and available in a porta ble network graphic (PNG), a binary flat, and a SeaD AS mapped format. Spatial coverage of mapped regio n is exhibited on Fig. 1. A whole region has a spat ial resolution of 2 and 5 km. Other region is mappe d in a spatial resolution of 1 km, except the region of the East China Sea being 2 km. Temporal composit e include a daily, 5 days, and 30 days composite. U ser can access and download from our web site. For a pass of AQUA, which is missing because of a higher priority to Terra, we down load from the Data Active Archive Center (DAAC) of the Goddard Space Flight C enter (GSFC) of NASA. 2. Distribution of Chlorophyll-a concentra tion and sea surface temperature Fig. 2 shows a sample of chlorophyll-a concen tration and sea surface temperature on the East Chin a Sea from April to September of 2005 for monthly co mposite. According to the chlorophyll-a concentrati on, the spring bloom of phytoplankton was observed i n April and May on the continental shelf. In contra st, the Kuroshio, the western boundary current, kept a lower productivity. The sea surface temperature image exhibits the stream line of the Kuroshio in Ap ril, entering to the East China Sea from the East of Taiwan, running along the continental shelf and exit ing to the Pacific Ocean from the Tokara straight. Some portion of the Kuroshio runs to the North as th But it is difficult to identify the Kuroshio in the following month because of high sea surface temperature and a stratification. 期期期期 Select period 2004 1 2 3 4 5 6 7 8 9 10 11 12 2005 1 2 3 4 5 6 7 8 9 10 11 12 2006 1 2 3 4 5 6 7 8 9 10 11 12 東東東東東東 TUIS 期期期 Home 期期期期 Select ROI 期期期期期期 a Chl-a 期期期期期 SST 期期期期 Monthly composite 5 期期期期 5 days composite 期期期期 Daily observation 期期期期 Monthly composite 5 期期期期 5 days composite 期期期期 Daily observation PNG FLAT HDF PNG FLAT HDF PNG FLAT HDF PNG FLAT HDF PNG FLAT HDF PNG FLAT HDF 2005 09 20050 9 2005 09 from 241t o245 from2 41to2 45 from 241t o245 241 241 241 8 期 29 期 200509 20050 9 200 509 from 241t o245 from2 41to2 45 fro m24 1to 245 241 241 241 242 242 242 8 期 30 期 242 242 242 243 243 243 8 期 31 期 243 243 243 244 244 244 9 期 01 期 244 244 244 245 245 245 9 期 02 期 245 245 245 from 246t o250 from2 46to2 50 from 246t o250 246 246 246 9 期 03 期 from 246t o250 from2 46to2 50 fro m24 6to 250 246 246 246 247 247 247 9 期 04 期 247 247 247 248 248 248 9 期 05 期 248 248 248 249 249 249 9 期 06 期 249 249 249 250 250 250 9 期 07 期 250 250 250 from 251t o255 from2 51to2 55 from 251t o255 251 251 251 9 期 08 期 from 251t o255 from2 51to2 55 fro m25 1to 255 251 251 251 252 252 252 9 期 09 期 252 252 252 253 253 253 9 期 10 期 253 253 253 254 254 254 9 期 11 期 254 254 254 255 255 255 9 期 12 期 255 255 255 from 256t o260 from2 56to2 60 from 256t o260 256 256 256 9 期 13 期 from 256t o260 from2 56to2 60 fro m25 6to 260 256 256 256 257 257 257 9 期 14 期 257 257 257 258 258 258 9 期 15 期 258 258 258 259 259 259 9 期 16 期 259 259 259 260 260 260 9 期 17 期 260 260 260 from2 61to2 65 from26 1to265 from2 61to2 65 261 261 261 9 期 18 期 from2 61to2 65 from26 1to265 from 261t o265 261 261 261 262 262 262 9 期 19 期 262 262 262 263 263 263 9 期 20 期 263 263 263 264 264 264 9 期 21 期 264 264 264 265 265 265 9 期 22 期 265 265 265 from2 66to2 70 from26 6to270 from2 66to2 70 266 266 266 9 期 23 期 from2 66to2 70 from26 6to270 from 266t o270 266 266 266 267 267 267 9 期 24 期 267 267 267 268 268 268 9 期 25 期 268 268 268 269 269 269 9 期 26 期 269 269 269 270 270 270 9 期 27 期 270 270 270 271 271 271 9 期 28 期 271 271 271 272 272 272 9 期 29 期 272 272 272 273 273 273 9 期 30 期 273 273 273 期期期期期期 (5km 期期 2km 期期期 ) 期期期期 (1km 期期期 ) 期期期期 (2km 期期期 ) 期期期期期期期期期期期期期Please click your region of interest. The left region provides 5km spatial resolution. The right regions provide 1km spatial resolution. . 東東東東東東東東 Please select your region of interest. 東東東東東東 TUIS 期期期 Home 期期期期 Select ROI Fig. 2. Chlorophyll-a concentration (TOP) and sea surface temperature (Bottom) from April to September of 2005. M ean discharge ofC hangjiang River (Since Ning,1998) 0 10000 20000 30000 40000 50000 60000 1 2 3 4 5 6 7 8 9 10 11 12 M onth M ean discharge for each m onth (m 3 s -1 ) Fig.3 Mean disch arge of the Yang tze River for ea ch month over al l years from 197 8 to 1986 since Ning (1998). 3. The Changjiang (Yangtze) River and the Three Gorges Dam Fig. 3 is the mean discharge of the Changjiang River for each month over all year s from 1978 to 1986. The rain season on the China main land will exhibits the maximum river discharge in July. The Three Gorges Dam has started its operation since July o f 2003. The proposed operating procedure at TGD would keep the reservoir level at a lo w pool elevation with using inflow for power generation, called the Flood Control Leve l (FCL), during the flood season from May through September. After the flood season, TGD would rise the reservoir level to the Normal Pool Level (NPL), while the lower flo ws with lower sediment concentration will be impounded. This artificial control of th e river discharge will cause an environmental change along the Changiang River and on the East China Sea. A possibility of lower sediment water because of the dam suspensi on may cause a higher light penetration along the water column. The ammonia-nitrogen from human exhausts and the nitrate-nitrogen from the Changjiang River has increased i n 10 times in the last 30 years. And the seasonal change of the river discharge may b e modified. From these combination of changes, the primary productivity on the East C hina Sea may exhibits different response. 4. Depth and time resolved primary productivity A depth and time resolved primary productivity was proposed with chlorophyll-a co ncentration (C), sea surface temperature (T), and photosynthetically available radiati on (PAR). The model estimated PAR was combined for this model for noon (PAR(0,noon)) an d each hours (PAR(0,t)). A vertical distribution of chlorophyll-a concentration (C(z)) an d PAR(z) are estimated by the empirical equation. A carbon fixation rate (PB) is estim ated as a function of PAR and sea surface temperature. The equation (1) leads primary productivity (PPeu mgC.m -2 .day -1 ) for the day. PPeu= t zC(z)PB{z,PAR(z),T} PAR(0,t)/PAR(0,noon) dz dt …... (1) Carbon fixation rate : PB(z) = c {1 – exp( - a PAR(z)/PAR(0) )} exp( - b PAR(z)/PAR(0) ) ….. (2) Associated parameters for the carbon fixation rate : a=0.04 ( 0.1 m PAR(0)+ n ) ….. (3) m = -0.0001T 3+0.0036T 2 -0.0007T+0.2557 …..(3-1) n = 0.00024T 3-0.0113T 2 +0.0868T-0.1042 …..(3-2) b=0.3 ( 0.00048T 3 -0.019T 2 +0.1T+3.1214 ) …..(4) c = 17 …..(5) Carbon fixation rate for each hours : PB(z, t) = PB (z,noon) PARM(0, t) / PARM(0, noon)) ….. (6), Vertical distribution of PAR : PAR%(z) =exp{ (-0.0018 C03 +0.022 C02 -0.11 C0 -0.024)Z } PAR%(0) ….. (7) Vertical distribution of Chlorophyll-a : C(z)=[1-(0.9+0.7C0)exp{-0.8PAR%(z,C0)}] exp{-0.8PAR% (z, C0)} + C0 … ..(8) 5. Primary productivity from 1997 to 2004 Fig. 4 is a monthly mean of primary productivity in July, 2004, estimated by SeaW iFS and AVHRR data. A region indicated by the rectangle area is taken as the region o f interest to calculate statistics of geophysical parameters. Fig. 5 is the monthly c hange of chlorophyll-a concentration of the area for each month averaged from 1997 to 2004 with exhibiting a spring bloom in April and a summer bloom in July. In Fig. 6, p EastChina Sea PP(1997-2004)& Discharge (1978-1986) 0 200 400 600 800 1000 1200 1400 1600 1800 1 2 3 4 5 6 7 8 9 10 11 12 M onth PP (m gC.m -2 .day -1 ) 0 10,000 20,000 30,000 40,000 50,000 60,000 Discharge (m 3 .s -1 ) PP Discharge EastChina Sea Chl-a (1997-2004)& Discharge(1978-1986) 0 1 2 3 4 5 6 1 2 3 4 5 6 7 8 9 10 11 12 M onth Chl-a(mg.m -3 ) 0 10,000 20,000 30,000 40,000 50,000 60,000 Discharge (m 3 .s -1 ) Chl Discharge Fig.5 Monthly mean of chlorophyll-a on the sampling region from 1997 to 2004. Fig.4 Monthly mea n of primary prod uctivity in July, 2004. A red rec tangle shows a re gion to calcurate statistics. Fig.6 Monthly mean of primary productivity on the sampling region from 1997 to 2004. Fig. 1. Ocean products selection at the Tokyo University of Informa tion Sciences. http://www.frontier.tuis.ac.jp/modis/research/asanuma/MODISdataset/ ROIselect.htm 4 5 6 7 8 9 4 5 6 7 8 9

Monitoring of the East China Sea  Related to the Three Gorges Dam Operation by MODIS

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Page 1: Monitoring of the East China Sea  Related to the Three Gorges Dam Operation by MODIS

Monitoring of the East China Sea Related to the Three Gorges Dam Operation by MODIS

Ichio Asanuma, JongGeol Park, Yoshizumi Yasuda, Keitaro HaraTokyo University of Information Sciences

1200-2, Yato, Wakaba, Chiba, Japan [email protected]

International EOS/NPP Direct Readout Meeting, Benevento Italy, 3-6 October 2005

Graduate School of Business Administration and Information Science Faculty of Informatics: Department of Information Systems Department of Environmental Information, Department of Business Administration Department of Media and Cultural Studies

Tokyo University of Information Sciences

1.MODIS data processing at The Tokyo University of Information Sciences

The Tokyo University of Information Sciences is operating the direct receiving station of MODIS data and archiving oceanographic data as well as land data. Chlorophyll-a concentration and sea surface temperature are data mapped and available in a portable network graphic (PNG), a binary flat, and a SeaDAS mapped format. Spatial coverage of mapped region is exhibited on Fig. 1. A whole region has a spatial resolution of 2 and 5 km. Other region is mapped in a spatial resolution of 1 km, except the region of the East China Sea being 2 km. Temporal composite include a daily, 5 days, and 30 days composite. User can access and download from our web site. For a pass of AQUA, which is missing because of a higher priority to Terra, we down load from the Data Active Archive Center (DAAC) of the Goddard Space Flight Center (GSFC) of NASA.

2. Distribution of Chlorophyll-a concentration and sea surface temperature

Fig. 2 shows a sample of chlorophyll-a concentration and sea surface temperature on the East China Sea from April to September of 2005 for monthly composite. According to the chlorophyll-a concentration, the spring bloom of phytoplankton was observed in April and May on the continental shelf. In contrast, the Kuroshio, the western boundary current, kept a lower productivity. The sea surface temperature image exhibits the stream line of the Kuroshio in April, entering to the East China Sea from the East of Taiwan, running along the continental shelf and exiting to the Pacific Ocean from the Tokara straight. Some portion of the Kuroshio runs to the North as the Tsushima current. But it is difficult to identify the Kuroshio in the following month because of high sea surface temperature and a stratification.

期間選択 Select period

2004 1 2 3 4 5 6 7 8 9 10 11 12

2005 1 2 3 4 5 6 7 8 9 10 11 12

2006 1 2 3 4 5 6 7 8 9 10 11 12

東京情報大学 TUIS 入り口  Home 領域選択 Select ROI

クロロフィル a   Chl-a 海表面温度  SST月間合成 

Monthly composite5日間合成

5 days composite毎日観測

Daily observation月間合成 

Monthly composite5日間合成

5 days composite毎日観測

Daily observation

PNG FLAT HDF PNG FLAT HDF PNG FLAT HDF PNG FLAT HDF PNG FLAT HDF PNG FLAT HDF

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①  日本近海全域 (5km 及び 2km 分解能 )②  日本各地 (1km 分解能 )③  東シナ海 (2km 分解能 )必要な領域をクリックします。Please click your region of interest. The left region provides 5km spatial resolution. The right regions provide 1km spatial resolution.

Ⅰ.  解析対象領域選択  Please select your region of interest.

東京情報大学 TUIS 入り口  Home 領域選択 Select ROI

Fig. 2. Chlorophyll-a concentration (TOP) and sea surface temperature (Bottom) from April to September of 2005.

Mean discharge of Changjiang River (Since Ning, 1998)

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Fig.3 Mean discharge of the Yangtze River for each month over all years from 1978 to 1986 since Ning (1998).

3. The Changjiang (Yangtze) River and the Three Gorges Dam

Fig. 3 is the mean discharge of the Changjiang River for each month over all years from 1978 to 1986. The rain season on the China main land will exhibits the maximum river discharge in July. The Three Gorges Dam has started its operation since July of 2003. The proposed operating procedure at TGD would keep the reservoir level at a low pool elevation with using inflow for power generation, called the Flood Control Level (FCL), during the flood season from May through September. After the flood season, TGD would rise the reservoir level to the Normal Pool Level (NPL), while the lower flows with lower sediment concentration will be impounded. This artificial control of the river discharge will cause an environmental change along the Changiang River and on the East China Sea. A possibility of lower sediment water because of the dam suspension may cause a higher light penetration along the water column. The ammonia-nitrogen from human exhausts and the nitrate-nitrogen from the Changjiang River has increased in 10 times in the last 30 years. And the seasonal change of the river discharge may be modified. From these combination of changes, the primary productivity on the East China Sea may exhibits different response.

4. Depth and time resolved primary productivity

A depth and time resolved primary productivity was proposed with chlorophyll-a concentration (C), sea surface temperature (T), and photosynthetically available radiation (PAR). The model estimated PAR was combined for this model for noon (PAR(0,noon)) and each hours (PAR(0,t)). A vertical distribution of chlorophyll-a concentration (C(z)) and PAR(z) are estimated by the empirical equation. A carbon fixation rate (PB) is estimated as a function of PAR and sea surface temperature. The equation (1) leads primary productivity (PPeu mgC.m-2.day-1) for the day.

PPeu= t zC(z)PB{z,PAR(z),T} PAR(0,t)/PAR(0,noon) dz dt …... (1) Carbon fixation rate : PB(z) = c {1 – exp( - a PAR(z)/PAR(0) )} exp( - b PAR(z)/PAR(0) ) ….. (2) Associated parameters for the carbon fixation rate : a=0.04 ( 0.1 m PAR(0)+ n ) ….. (3) m = -0.0001T 3+0.0036T 2 -0.0007T+0.2557 …..(3-1) n = 0.00024T 3-0.0113T 2 +0.0868T-0.1042 …..(3-2) b=0.3 ( 0.00048T 3 -0.019T 2 +0.1T+3.1214 ) …..(4) c = 17 …..(5) Carbon fixation rate for each hours : PB(z, t) = PB (z,noon) PARM(0, t) / PARM(0, noon)) ….. (6), Vertical distribution of PAR : PAR%(z) =exp{ (-0.0018 C03 +0.022 C02 -0.11 C0 -0.024)Z } PAR%(0) ….. (7) Vertical distribution of Chlorophyll-a : C(z)=[1-(0.9+0.7C0)exp{-0.8PAR%(z,C0)}] exp{-0.8PAR%(z, C0)} + C0  … ..(8)

5. Primary productivity from 1997 to 2004

Fig. 4 is a monthly mean of primary productivity in July, 2004, estimated by SeaWiFS and AVHRR data. A region indicated by the rectangle area is taken as the region of interest to calculate statistics of geophysical parameters. Fig. 5 is the monthly change of chlorophyll-a concentration of the area for each month averaged from 1997 to 2004 with exhibiting a spring bloom in April and a summer bloom in July. In Fig. 6, primary productivity similarly exhibits an increase to May and a peak in July and a very similar change with the change of river discharge. The primary productivity model took into account an increase of SST and PAR from April to May. Then, a reduction of PAR because of a rain front in June limited primary productivity. Continuously with the increase of SST and PAR through July, primary productivity exhibited a peak in July. At this moment, the river discharge from the Yangze River might have a significant contribution to primary productivity. In August, primary productivity decreased against an increase of SST because of reduced PAR and reduced amount of river discharge. Currently, we are working to complete dataset of chlorophyll a concentration, PAR, and sea surface temperature observed by MODIS on AQUA, because of SeaWiFS data being only available for the commercial base since Dec. 24, 2004. The GSFC and ocean color science team are currently working to adjust the MODIS bio-optical algorithm to keep a consistency between SeaWiFS and MODIS observation system.

East China SeaPP(1997- 2004) & Discharge (1978- 1986)

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Fig.5 Monthly mean of chlorophyll-a on the sampling region from 1997 to 2004.

Fig.4 Monthly mean of primary productivity in July, 2004. A red rectangle shows a region to calcurate statistics.

Fig.6 Monthly mean of primary productivity on the sampling region from 1997 to 2004.

Fig. 1. Ocean products selection at the Tokyo University of Information Sciences. http://www.frontier.tuis.ac.jp/modis/research/asanuma/MODISdataset/ROIselect.htm

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