Influence of disaster risk, exposure and water quality on vulnerability of surface water resources under a changing climate in the Haihe River basin

2017 ◽  
Vol 42 (4) ◽  
pp. 462-485 ◽  
Author(s):  
Wei Shi ◽  
Jun Xia ◽  
Christopher J Gippel ◽  
JunXu Chen ◽  
Si Hong
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Resources ◽  
River Basin ◽  
Disaster Risk ◽  
Risk Exposure ◽  
Haihe River Basin ◽  
Haihe River ◽  
Surface Water Resources ◽  
The Haihe River Basin

Temporal trend in surface water resources in Tianjin in the Haihe River Basin, China

2011 ◽  
Vol 25 (13) ◽  
pp. 2141-2151 ◽  
Author(s):  
Guanghong Wu ◽  
Shuirong Chen ◽  
Ruixian Su ◽  
Meiqing Jia ◽  
Wanqing Li
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
River Basin ◽  
Temporal Trend ◽  
Haihe River Basin ◽  
Haihe River ◽  
Surface Water Resources ◽  
The Haihe River Basin

scholarly journals The Impact of the Construction of Sponge Cities on the Surface Runoff in Watersheds, China

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Guoqiang Dong ◽  
Baisha Weng ◽  
Tianling Qin ◽  
Denghua Yan ◽  
Hao Wang ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
River Basin ◽  
Annual Runoff ◽  
Haihe River Basin ◽  
Annual Average ◽  
Haihe River ◽  
Capture Ratio ◽  
Surface Water Resources ◽  
The Haihe River Basin

In order to study the effect of the construction of the sponge cites on the process of urban water circulation in China, we analyzed the precipitation data from 756 stations across China between 1961 and 2011 and national land-use data in 2014. The spatial distribution characteristics of built-up area and amount of annual average runoff interception in sponge cities were explored in five different zonal scale levels. Assuming that the sponge cities have been built at the national-level construction land and the volume capture ratio of annual runoff is taken as 85%, the amount of annual average runoff interception in sponge cities is 988.58 × 108 m3 during 1961 to 2011 in China, where the annual precipitation is greater than or equal to 400 mm. The cities with more amount of annual average runoff interception are mostly distributed in Beijing-Tianjin-Hebei region, the Yangtze River Delta, and the Pearl River Delta. As to the Haihe River Basin, the annual average amount of surface water resources is 135.69 × 108 m3 between 2005 and 2014, and the amount of annual average runoff interception is 219.58 × 108 m3 from 1961 to 2011. The construction of sponge cities has the greatest impact on the surface water resources in the Haihe River Basin. Taking 80%–85% as the volume capture ratio of annual runoff in sponge cities is not reasonable, which may lead to the irrational exploitation and utilization of regional water and soil resources.

Use of PCA-RBF model for prediction of chlorophyll-a in Yuqiao Reservoir in the Haihe River Basin, China

2013 ◽  
Vol 14 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Liu Xiaobo ◽  
Dong Fei ◽  
He Guojian ◽  
Liu Jingling
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Chlorophyll A ◽  
River Basin ◽  
Forecast Error ◽  
Principal Component ◽  
Haihe River Basin ◽  
Haihe River ◽  
Yuqiao Reservoir ◽  
The Haihe River Basin

Chlorophyll-a is a well-accepted index for phytoplankton abundance and population of primary producers in an aquatic environment. The relationships between chlorophyll-a and 18 chemical, physical and biological water quality variables in YuQiao Reservoir (YQR) in the Haihe River Basin in P.R. China were studied by using principal component analysis (PCA) coupled with a radial basis function network (RBF) model to predict chlorophyll-a levels. Principal component analysis was used to simplify the complexity of relations between water quality variables. Score values obtained by PC scores were used as independent variables in the RBF models. In the forecast, only five selected score values obtained by PC analysis were used for the prediction of chlorophyll-a levels. Correlative analysis between the modeled results and observed data indicates that the correlative coefficient is 0.61, and analysis of the forecast error rate shows that the average forecast error is 32.9%, proving the viability of the forecast model.

scholarly journals Evaluation and Optimization of Agricultural Water Resources Carrying Capacity in Haihe River Basin, China

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 999 ◽  
Author(s):  
Jian Kang ◽  
Xin Zi ◽  
Sufen Wang ◽  
Liuyue He
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Haihe River Basin ◽  
Agricultural Water ◽  
Haihe River ◽  
Groundwater Exploitation ◽  
Irrigation Area ◽  
Water Resources Carrying Capacity ◽  
Agricultural Water Resources ◽  
The Haihe River Basin

The shortage and uneven spatial and distribution of agricultural water resources has greatly restricted the sustainable development of regional society and economy. In this study, an improved five-element connection number set pair analysis model, which subdivides the same–different–opposite connection number in the set pair analysis theory to enhance the integrity and effectiveness of the original ternary connection numbers is constructed to evaluate the agricultural water resources carrying capacity (AWRCC) in the Haihe River Basin. Based on this evaluation result, an optimization model (AROL model) is proposed to optimize the effective irrigation area and groundwater exploitation to achieve a “better level” of AWRCC. The evaluation result shows that the current AWRCC of the Haihe River Basin is relatively low. The AWRCC in Shanxi, Inner Mongolia, and Liaoning is Level III and the current agricultural water resources are not overloaded but have little carrying potential. The AWRCC of Beijing, Tianjin, Hebei, Henan, and Shandong are rated IV and overloaded, among which Shandong has the lowest comprehensive score and the most serious overload. The optimization result shows that the extraction and conservation of groundwater in most areas of the Haihe River Basin is unbalanced and the effective irrigation area needs to be increased. With different current conditions in different areas, the groundwater exploitation and the effective irrigation area is adjusted correspondingly. Among the areas, the adjustment of groundwater exploitation and the effective irrigation area in Hebei are the most significant.

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