scholarly journals Effects of economic development on wastewater discharge and influent total phosphorus load in the upstream of Lake Taihu Basin

2015 ◽  
Vol 27 (6) ◽  
pp. 1107-1114 ◽  
Author(s):  
WU Pan ◽  
◽  
QIN Boqiang ◽  
YU Ge ◽  
ZHOU Jian ◽  
...  
2006 ◽  
Vol 53 (2) ◽  
pp. 311-320 ◽  
Author(s):  
K. Yamamoto ◽  
T. Suetsugi

The “Nutrient Load Hysteresis Coefficient” was proposed to evaluate the hysteresis of the nutrient loads to flow rate quantitatively. This could classify the runoff patterns of nutrient load into 15 patterns. Linear relationships between the turbidity and the concentrations of particulate nutrients were observed. It was clarified that the linearity was caused by the influence of the particle size on turbidity output and accumulation of nutrients on smaller particles (diameter <23 μm). The L-Q-Turb method, which is a new method for the estimation of runoff loads of nutrients using a regression curve between the turbidity and the concentrations of particulate nutrients, was developed. This method could raise the precision of the estimation of nutrient loads even if they had strong hysteresis to flow rate. For example, as for the runoff load of total phosphorus load on flood events in a total of eight cases, the averaged error of estimation of total phosphorus load by the L-Q-Turb method was 11%, whereas the averaged estimation error by the regression curve between flow rate and nutrient load was 28%.


1988 ◽  
Vol 24 (9) ◽  
pp. 1535-1540 ◽  
Author(s):  
Thomas C. Young ◽  
Joseph V. DePinto ◽  
Thomas M. Heidtke

2018 ◽  
Vol 25 (10) ◽  
pp. 10014-10028 ◽  
Author(s):  
Jiao-Ting Peng ◽  
Xiao-Dong Zhu ◽  
Xiang Sun ◽  
Xiao-Wei Song

2018 ◽  
Vol 612 ◽  
pp. 914-922 ◽  
Author(s):  
Zhaoshi Wu ◽  
Xiaolong Wang ◽  
Yuwei Chen ◽  
Yongjiu Cai ◽  
Jiancai Deng

2007 ◽  
Vol 41 (12) ◽  
pp. 2674-2679 ◽  
Author(s):  
Liancong Luo ◽  
Boqiang Qin ◽  
Yuzhi Song ◽  
Longyuan Yang

2015 ◽  
Vol 27 (2) ◽  
pp. 208-215
Author(s):  
WANG Huan ◽  
◽  
YUAN Xuyin ◽  
CHEN Hailong ◽  
XU Haiyan ◽  
...  

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