TY - GEN
T1 - Investigation of the effects of human activities using multi-box ecosystem model in the Ariake sea, Japan
AU - Tabata, Toshinori
AU - Nakashima, Kodai
AU - Hiramatsu, Kazuaki
AU - Masayoshi, Harada
PY - 2018/9/1
Y1 - 2018/9/1
N2 - In this research, the effect of human activities has been investigated in the Ariake Sea located in Kyushu Island. Japan. The Ariake Sea has been suffering from environmental degradation for more than a decade with unstable fisheries productivity. Therefore, it is important to understand the change of environmental characteristics in the Ariake Sea quantitatively. Moreover, it is concerned that the fertilizer applied for the aquaculture is effecting to the ecosystem in the sea. Also, since nutrient loading from rivers are so high that red tide or anoxic water mass occurs every year, it is significant to evaluate the effect of nutrient load to the sea. Therefore, in order to characterize the coastal environment and investigate the effect of human activities, Muti-Box Ecosystem model have constructed to simulate the water quality items in the Ariake Sea. The sea was divided into 12 boxes. Each box is comprised of three layers which is water, oxidative bottom and reductive bottom layer. Simulation period was set from 1st January 2000 to 31st December 2012. The model reproduced the water quality items well. Then, the model calculated with two different scenarios about the fertilizer application to the aquaculture and nutrient load from the river. The result showed that the fertilizer for the aquaculture has no effect to the coastal ecosystem and coastal environment would improve if the nutrient load reduced by half.
AB - In this research, the effect of human activities has been investigated in the Ariake Sea located in Kyushu Island. Japan. The Ariake Sea has been suffering from environmental degradation for more than a decade with unstable fisheries productivity. Therefore, it is important to understand the change of environmental characteristics in the Ariake Sea quantitatively. Moreover, it is concerned that the fertilizer applied for the aquaculture is effecting to the ecosystem in the sea. Also, since nutrient loading from rivers are so high that red tide or anoxic water mass occurs every year, it is significant to evaluate the effect of nutrient load to the sea. Therefore, in order to characterize the coastal environment and investigate the effect of human activities, Muti-Box Ecosystem model have constructed to simulate the water quality items in the Ariake Sea. The sea was divided into 12 boxes. Each box is comprised of three layers which is water, oxidative bottom and reductive bottom layer. Simulation period was set from 1st January 2000 to 31st December 2012. The model reproduced the water quality items well. Then, the model calculated with two different scenarios about the fertilizer application to the aquaculture and nutrient load from the river. The result showed that the fertilizer for the aquaculture has no effect to the coastal ecosystem and coastal environment would improve if the nutrient load reduced by half.
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UR - http://www.scopus.com/inward/citedby.url?scp=85064009171&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85064009171
T3 - Proceedings - International Association for Hydro-Environment Engineering and Research (IAHR)-Asia Pacific Division (APD) Congress: Multi-Perspective Water for Sustainable Development, IAHR-APD 2018
SP - 531
EP - 538
BT - Proceedings - International Association for Hydro-Environment Engineering and Research (IAHR)-Asia Pacific Division (APD) Congress
A2 - Karlina, null
A2 - Olii, Muhammad Ramdhan
A2 - Warniyati, Warniyati
A2 - Ahmad, Johan Syafri Mahathir
A2 - Benazir, null
A2 - Setiawan, Hendy
A2 - Hairani, Ani
A2 - Hambali, Roby
A2 - Legono, Djoko
PB - Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada
T2 - 21st Congress of International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Multi-Perspective Water for Sustainable Development, IAHR-APD 2018
Y2 - 2 September 2018 through 5 September 2018
ER -