scholarly journals Model Study on Potential Contributions of the Proposed Huangpu Gate to Flood Control in Taihu Lake Basin

2016 ◽  
Author(s):  
Hanghui Zhang ◽  
Shuguang Liu ◽  
Jianchun Ye ◽  
Pat Yeh

Abstract. The Taihu Lake basin, one of the most developed and dynamic regions, is located in the hinterland of the Yangtze River Delta, Eastern China. The largest flood in history is the 1999 flood event with a return period of 1 in 200 years, which is above the current capacity of flooding defense in the basin with a return period of 1 in 50 years. Due to its flat saucer-like terrain, the capacity of the flood control system is dependent on the flood defense infrastructure and the peripheral tidal conditions. The Huangpu River, connecting the Taihu Lake and the Yangtze River, is one of the major drains, which is strongly influenced by high tide conditions in the coastal waters of the Yangtze River. Hence, constructing an estuary gate is considered one of the effective solutions to the flooding problem in the basin. This paper aims to quantitatively analyze the potential contributions of the proposed Huangpu gate to flood control capacity of the basin under various flooding scenarios. It is concluded that the Huangpu gate is an effective mean to evacuate the floodwaters, by reducing peak levels in the upper part of the tide-affected river. Its beneficiaries include the Taihu Lake, the related surrounding areas along the Taipu Canal and the Huangpu River basin.

2013 ◽  
Vol 23 (2) ◽  
pp. 203-215 ◽  
Author(s):  
Haixia Zhao ◽  
Bensheng You ◽  
Xuejun Duan ◽  
Stewart Becky ◽  
Xiaowei Jiang

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuhuan Cui ◽  
Jie Wang ◽  
Shuang Hao

AbstractNitrate (NO3−) pollution is a serious global problem, and the quantitative analysis of its sources contributions is essential for devising effective water-related environmental-protection policies. The Shengjin Lake basin, located in the middle to lower reaches of the Yangtze River in China was selected as the research area in our study. We first grouped 29 surface water samples and 33 groundwater samples using cluster analysis, and then analyzed potential nitrate sources for each dataset of δ15N–NO3− and δ18O–NO3− isotope values by applying a Bayesian isotope-mixing model. Our results show that the nitrogen pollution in the surface-ground water in the study area seriously exceeded to class V of the Environmental Quality Standard of Surface Water of China. The NO3− in surface water from the mid-upper reaches of the drainage basin mainly originates from soil nitrogen (SN) and chemical fertilizer (CF), with contribution rates of 48% and 32%, respectively, and the NO3− in downstream areas mainly originates from CF and manure and sewage (MS), with contribution rates of 48% and 33%, respectively. For the groundwater samples, NO3− mainly originates from MS, CF, and SN in the mid-upper reaches of the drainage basin and the northside of Dadukou near the Yangtze River, with contribution rates of 34%, 31%, and 29%, respectively, whereas NO3− in the lower reaches and the middle part of Dadukou mainly originates from MS, with a contribution rate of 83%. The nitrogen conversion of surface water in lakes and in the mid-upper reaches is mainly affected by water mixing, while the groundwater and surface water in the lower plains are mainly affected by denitrification. The method proposed in this study can expand the ideas for tracking nitrate pollution in areas with complex terrain, and the relevant conclusions can provide a theoretical basis for surface and groundwater pollution control in the hilly basin of Yangtze River.


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