scholarly journals Evaluation method of rain–flood resource utilization availability and its application in the Hanjiang River Basin

2020 ◽  
Vol 20 (8) ◽  
pp. 3557-3575
Author(s):  
Pengxin Deng ◽  
Gaohong Xu ◽  
Jianping Bing ◽  
Changjiang Xu ◽  
Jianwei Jia

Abstract Rain–flood utilization refers to transforming some amount of rain or floodwater into ordinary water resources without decreasing flood control standards or damaging the ecological environment of rivers, which has gained widespread attention as it can alleviate water shortages and gain benefits. This paper put forward the evaluation method of rain–flood utilization availability at the distributed watershed scale. Based on the water node, some indices of rain–flood utilization availability were defined. Then the evaluation method and calculation process were unified. Finally, the status and potential of the rain–flood utilization of Hanjiang River Basin were analyzed. The results indicated that the rain–flood resource in the whole basin is 48.9 billion m3, the outflow is 29.9 billion m3, and the actual utilization is about 19.0 billion m3. The current available rain–flood amount and rain–flood utilization potential are 27.7 billion m3 and 11.0 billion m3, and the rain–flood utilization rate is 49.4%. Limited by regulation ability and the rain–flood resources, current rain–flood utilization has a clear threshold range. The potential utilization objects are mainly for a rainfall process of about two to ten years return period. The application in Hanjiang River Basin offers some practical information for assessing rain–flood utilization scientifically, and the premise for effectively guiding and formulating adaptive countermeasures for water resources management.

2018 ◽  
Vol 246 ◽  
pp. 01018
Author(s):  
Zhiming Liu ◽  
Yongqiang Wang ◽  
Jin Chen ◽  
Jijun Xu ◽  
Shaokun He

River flows would be influenced greatly by climate change, which may cause further stress on water resources management by altering the quantity and distribution of runoff. In this paper, taking the Hanjiang River basin for instance, projections of precipitation and temperature are generated from two GCMs under RCP8.5 scenario, an extreme condition. Then the outputs are statistically downscaled and corrected by the daily bias correction method, a hybrid method of combining the daily translation and the local intensity scaling method. The VIC distributed hydrological model is used for the runoff simulation. Results show that the projections of two GCMs consistent with each other. There is a general increase in the annual mean precipitation and temperature in the Hanjiang River Basin in the future period (2021-2099), and the annual mean runoff of the Danjiangkou reservoir increases significantly compared with historical period (1980-2010). However, the annual runoff variability would increase the flood control pressure in wet season, aggravate the conflict between power generation and water supply in dry season despite increasing the water supply capacity in storage season.


2021 ◽  
Author(s):  
Haoyu Jin ◽  
Xiaohong Chen ◽  
Ruida Zhong

Abstract Runoff prediction has an important guiding role in the planning and management of regional water resources, flood prevention and drought resistance, and can effectively predict the risk of changes in regional water resources. This study used 12 runoff prediction methods to predict the runoff of four hydrological stations in the Hanjiang River Basin (HRB). Through the MCMC method, the HRB runoff probability conversion model from low to high (high to low) is constructed. The study found that the runoff of the HRB had a decreasing trend. In the mid-1980s, the runoff had a significant decreasing trend. The smoother the runoff changes, the easier it is to make accurate prediction. On the whole, the QS-MFM, MFM, MA-MFM, CES and DNN methods have strong generalization ability and can more accurately predict the runoff of the HRB. The Logistic model can accurately simulate the change of runoff status in the HRB. Among them, the HLT station has the fastest conversion rate of drought and flood, and the flow that generates floods is 6 times that of drought. The smaller the basin area, the larger the gap between drought and flood discharge. Overall, this research provides important technical support for the prediction of change in water resources and the transition probability from drought to flood in the HRB.


2013 ◽  
Vol 67 (6) ◽  
pp. 1224-1229 ◽  
Author(s):  
Jing Peng ◽  
Shaoming Li ◽  
Lan Qi

In recent years, the ecological environment of plain rivers within Haihe River basin is questionable because of severe water shortages. Most of the rivers dry up regularly and it is therefore necessary to take measures to improve the river ecological environment. Meanwhile, flood control is the principal function for most of the dried-up rivers, so river regulation works for flood control also should be undertaken. In this paper, some measures of river regulation were selected applied to the Haihe River basin, taking these measures not only ensure the river security but also realize its ecological benefit. Examples of the application of selected measures for the representative rivers, Yongding River and Hutuo River, both located within the Haihe River basin, are also assessed. These measures provide practical solutions to ecological and flood control problems of dried-up rivers, are generic in nature, and could therefore be applied to other same type rivers.


2019 ◽  
Vol 11 (7) ◽  
pp. 2044 ◽  
Author(s):  
Jing Tian ◽  
Dedi Liu ◽  
Shenglian Guo ◽  
Zhengke Pan ◽  
Xingjun Hong

Inter-basin water transfer project is an effective engineering countermeasure to alleviate the pressure of water supply in water-deficient areas and balance the uneven distribution of water resources. To assess the impacts of inter-basin water transfer projects on optimal water resources allocation, an integrated water resources management framework is proposed, and is applied to the middle and lower reaches of the Hanjiang River Basin in China. Firstly, future water demands are analyzed as inputs. Then, a multi-objective water resources allocation model is formulated mitigating the negative impacts of water transfer projects on downstream water quantity and quality by using the non-dominated sorting genetic algorithm-II (NSGA-II). Finally, the indicators of water supply reliability, vulnerability and resilience are evaluated under different scenarios of inter-basin water transfer projects. The results indicate that: (1) the reliability and resilience of the water donor system will be gradually reduced while the vulnerability will be increased with the expansion of water transfer projects and the increase of water demand, (2) water supply risk is likely to increase in all zones (because zones at the boundary cannot obtain sufficient water due to limitations of local inflow and reservoir operation, while the amount of water available in the zones along the mainstream river is directly decreased by the water transfer projects), (3) more water supply measures and compensation measures will need to be implemented in the water donor areas. The framework proposed in this study to evaluate the comprehensive impact of inter-basin water transfer projects is conducive to water resources management.


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