Increasing dissolved nitrogen and phosphorus export by the Pearl River (Zhujiang): a modeling approach at the sub-basin scale to assess effective nutrient management

Verfasser / Beitragende:
[Maryna Strokal, Carolien Kroeze, Lili Li, Shengji Luan, Huanzhi Wang, Shunshun Yang, Yisheng Zhang]
Ort, Verlag, Jahr:
2015
Enthalten in:
Biogeochemistry, 125/2(2015-09-01), 221-242
Format:
Artikel (online)
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024 7 0 |a 10.1007/s10533-015-0124-1  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10533-015-0124-1 
245 0 0 |a Increasing dissolved nitrogen and phosphorus export by the Pearl River (Zhujiang): a modeling approach at the sub-basin scale to assess effective nutrient management  |h [Elektronische Daten]  |c [Maryna Strokal, Carolien Kroeze, Lili Li, Shengji Luan, Huanzhi Wang, Shunshun Yang, Yisheng Zhang] 
520 3 |a The Pearl River (Zhujiang in Chinese) has been exporting excess of nitrogen (N) and phosphorus (P), causing eutrophication in the coastal waters of southern China for decades. However, sources of these nutrients and their locations are not well studied for the Pearl River basin. As a consequence, it is difficult to formulate effective management options to reduce these nutrients in the river and to prevent further eutrophication. We developed a sub-basin model based onto the Global NEWS-2 (Nutrient Export from WaterSheds) model for the period of1970-2050 to analyze trends in dissolved inorganic N and P (DIN and DIP) and to identify the main sources of these nutrients and their locations. We validated our model by comparing modeled nutrient fluxes with observed. Future analyses are based on Millennium Ecosystem Assessment scenario that assumes a globalized world with a reactive environmental management. DIN and DIP inputs to the coastal waters are calculated to increase by a factor of 2-2.5 between 1970 and 2050. Over two-thirds of the DIN and DIP inputs to the coastal waters stem from two down-stream basins (Zhujiang delta and Dongjiang), where agriculture and sewage are important drivers of this increase. Agriculture accounts for over 40% of DIN inputs to coastal waters. Sewage and agriculture account for over 90% of DIP inputs. Thus nutrient management in agriculture and sewage in down-stream areas is more effective in reducing coastal eutrophication than nutrient management in up- and middle-stream areas of the Pearl River basin. 
540 |a The Author(s), 2015 
690 7 |a Nitrogen  |2 nationallicence 
690 7 |a Phosphorus  |2 nationallicence 
690 7 |a The Pearl River  |2 nationallicence 
690 7 |a Sub-basin scale modeling  |2 nationallicence 
700 1 |a Strokal  |D Maryna  |u Environmental Systems Analysis Group, Wageningen University, Droevendaalsesteeg 4, 6708 PB, Wageningen, The Netherlands  |4 aut 
700 1 |a Kroeze  |D Carolien  |u Environmental Systems Analysis Group, Wageningen University, Droevendaalsesteeg 4, 6708 PB, Wageningen, The Netherlands  |4 aut 
700 1 |a Li  |D Lili  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
700 1 |a Luan  |D Shengji  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
700 1 |a Wang  |D Huanzhi  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
700 1 |a Yang  |D Shunshun  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
700 1 |a Zhang  |D Yisheng  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
773 0 |t Biogeochemistry  |d Springer International Publishing  |g 125/2(2015-09-01), 221-242  |x 0168-2563  |q 125:2<221  |1 2015  |2 125  |o 10533 
856 4 0 |u https://doi.org/10.1007/s10533-015-0124-1  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10533-015-0124-1  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Strokal  |D Maryna  |u Environmental Systems Analysis Group, Wageningen University, Droevendaalsesteeg 4, 6708 PB, Wageningen, The Netherlands  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kroeze  |D Carolien  |u Environmental Systems Analysis Group, Wageningen University, Droevendaalsesteeg 4, 6708 PB, Wageningen, The Netherlands  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Li  |D Lili  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Luan  |D Shengji  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wang  |D Huanzhi  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yang  |D Shunshun  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhang  |D Yisheng  |u Peking University, University Town, Nanshan District, 518055, Shenzhen, People's Republic of China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Biogeochemistry  |d Springer International Publishing  |g 125/2(2015-09-01), 221-242  |x 0168-2563  |q 125:2<221  |1 2015  |2 125  |o 10533