scholarly journals Assessing Water Resources Vulnerability by Using a Rough Set Cloud Model: A Case Study of the Huai River Basin, China

Entropy ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 14 ◽  
Author(s):  
Yan Chen ◽  
Yazhong Feng ◽  
Fan Zhang ◽  
Lei Wang
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Rough Set ◽  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Huai River Basin ◽  
Huai River ◽  
Water Resources Vulnerability ◽  
The Huai River Basin

Assessing water resources vulnerability is the foundation of local water resources management. However, as one of the major water systems in China, there is no existing evaluation index system that can effectively assess water resource vulnerability for the Huai River basin. To address this issue, we identified key vulnerability factors, constructed an evaluation index system, and applied such system to evaluate water resources vulnerability for the Huai River basin empirically in this paper. Specifically, our evaluation index system consists of 18 indexes selected from three different aspects: water shortage, water pollution, and water-related natural disaster. Then, the improved blind deletion rough set method was used to reduce the size of the evaluation index while keep the evaluation power. In addition, the improved conditional information entropy rough set method was employed to calculate the weights of evaluation indexes. Based on the reduced index system and calculated weights, a rough set cloud model was applied to carry out the vulnerability evaluation. The empirical results show that the Huai River basin water resources were under severe vulnerability conditions for most of the time between 2000 and 2016, and the Most Stringent Water Resources Management System (MS-WRMS) established in 2012 did not work effectively as expected.

Research on Water Resources Vulnerability Evaluation Model Based on Extension Theory

2013 ◽  
Vol 726-731 ◽  
pp. 4123-4130
Author(s):  
Hai Jiao Liu ◽  
Yu Zhi Shi ◽  
Ming Yuan Fan ◽  
Ji Wen Huang ◽  
Hua Wei Chen ◽  
...  
Keyword(s):  
Water Resources ◽  
Index System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Vulnerability Evaluation ◽  
Efficient Performance ◽  
Proposed Model ◽  
Water Resources Vulnerability

Water resources vulnerability evaluation has important significance to guide the water resources management and water ecological environment protection. This paper builds the water resources vulnerability evaluation index system from three aspects of natural, human and bearing capacity and integrates matter-element theory with entropy weight to construct the matter-element extension evaluation model of water resources vulnerability. The area of Shandong Province is selected for study, and the proposed model and evaluation index system are applied to respectively evaluates the water resources vulnerability of each city, the results show that the proposed model has a efficient performance, and water resources vulnerability evaluated is higher in whole study area and varies significantly in space, moreover, the northwestern cities are higher, on the contrary, the southeastern cities are lower.

scholarly journals Impact of climatic change on water resources in Huia river basin, China

2018 ◽  
Vol 7 (4) ◽  
pp. 2225 ◽  
Author(s):  
Rawshan Othman Alia ◽  
Zhao Chunjua ◽  
Zhou Yihona ◽  
Liu Ping ◽  
Arien Heryansyaha ◽  
...  
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Air Temperature ◽  
Sensitivity Analyses ◽  
Policy Makers ◽  
Huai River Basin ◽  
Huai River ◽  
Research Findings ◽  
The Impact ◽  
The Huai River Basin

Research on the impact of climate change on water resources has attracted the attention of academician and policy makers. This paper tends to analyze the impact of changes in air temperature and rainfall factors on the amount of water resources in the Huai River Basin from 1980 to 2014. Air temperature and rainfall data were collected from six meteorological stations. Hydrological and water resources evaluation data were collected from the Bengbu Hydrological Station in the Huai River Basin. Research findings revealed an increasing trend of average annual air temperature, with the highest increase of 0.293oC recorded at Bengbu in Anhui Province. The western part of the study area has shown a rising rainfall while the eastern part (the middle reaches of the Huai River) witnessed a declining rainfall. The rainfall in the Huai River Basin was significantly influenced by the natural fluctuations as the average rainfall in the study area was in a vaguely declining trend. This resulted in gradual decrease in the quantity of the Basin’s water resources due to decreasing rainfall and rising air temperature. Regression and sensitivity analyses were employed to develop a mathematical model between water resources quantity and changes in air temperature and rainfall. Based on regression analysis findings, changes in rainfall have a much bigger impact on its water resources quantity than changes in its air temperature.  

scholarly journals Assessing and Predicting the Water Resources Vulnerability under Various Climate-Change Scenarios: A Case Study of Huang-Huai-Hai River Basin, China

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 333
Author(s):  
Yan Chen ◽  
Yazhong Feng ◽  
Fan Zhang ◽  
Fan Yang ◽  
Lei Wang
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Index System ◽  
Evaluation Index System ◽  
Climate Change Scenarios ◽  
Evaluation Indexes ◽  
Strategic Role ◽  
Artificial Neural Network Ann ◽  
Set Up ◽  
Water Resources Vulnerability

The Huang-Huai-Hai River Basin plays an important strategic role in China’s economic development, but severe water resources problems restrict the development of the three basins. Most of the existing research is focused on the trends of single hydrological and meteorological indicators. However, there is a lack of research on the cause analysis and scenario prediction of water resources vulnerability (WRV) in the three basins, which is the very important foundation for the management of water resources. First of all, based on the analysis of the causes of water resources vulnerability, this article set up the evaluation index system of water resource vulnerability from three aspects: water quantity, water quality and disaster. Then, we use the Improved Blind Deletion Rough Set (IBDRS) method to reduce the dimension of the index system, and we reduce the original 24 indexes to 12 evaluation indexes. Third, by comparing the accuracy of random forest (RF) and artificial neural network (ANN) models, we use the RF model with high fitting accuracy as the evaluation and prediction model. Finally, we use 12 evaluation indexes and an RF model to analyze the trend and causes of water resources vulnerability in three basins during 2000–2015, and further predict the scenarios in 2020 and 2030. The results show that the vulnerability level of water resources in the three basins has been improved during 2000–2015, and the three river basins should follow the development of scenario 1 to ensure the safety of water resources. The research proved that the combination of IBDRS and an RF model is a very effective method to evaluate and forecast the vulnerability of water resources in the Huang-Huai-Hai River Basin.

Construction of Water Resources Utilization Efficiency Evaluation Index System Based on Cloud Model

2013 ◽  
Vol 864-867 ◽  
pp. 2249-2256
Author(s):  
Xin Jian Guan ◽  
Yu Meng ◽  
Ze Ning Wu
Keyword(s):  
Water Resources ◽  
Index System ◽  
Cloud Model ◽  
Qualitative Evaluation ◽  
Evaluation Index System ◽  
Utilization Efficiency ◽  
Evaluation Index ◽  
Index Set ◽  
Quantitative Score ◽  
Water Resources Utilization

This paper presents a method for selecting indexes based on cloud model. The natural language qualitative evaluation of water resources utilization efficiency (WRUE) indexes from several experts were converted into quantitative score values. The randomness and fuzziness of conversion process could be fully reflected. Based on the basic index set of WRUE and fifty experts` comments, cloud model was used to calculate each index`s value. Finally, eight indexes covering overall, agricultural, industrial and living industry were selected to construct the evaluation index system. Cloud model is convenient, objective, and the calculation process is simple. The construction of evaluation index system lays a good foundation for the evaluation of WURE.

scholarly journals Identify and Assess Hydropower Project’s Multidimensional Social Impacts with Rough Set and Projection Pursuit Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hui An ◽  
Wenjing Yang ◽  
Jin Huang ◽  
Ai Huang ◽  
Zhongchi Wan ◽  
...  
Keyword(s):  
Rough Set ◽  
Index System ◽  
Social Impact ◽  
Projection Pursuit ◽  
Cultural Development ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Evaluation Index ◽  
The Social ◽  
Projection Pursuit Model

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment (SIA) of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability.

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