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.

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.

Study on the Design and Evaluation of the Logistics Information System for the Small-and Medium-Sized Enterprises

2013 ◽  
Vol 756-759 ◽  
pp. 1630-1634
Author(s):  
Zhen Li ◽  
Yan Li
Keyword(s):  
Information System ◽  
Index System ◽  
Evaluation System ◽  
Evaluation Index System ◽  
Competitive Market ◽  
Evaluation Index ◽  
Logistics Information System ◽  
Logistics Information ◽  
Value Flow ◽  
Set Up

The operation of logistics information system determines the efficiency of the information and value flow in the modern competitive market. The paper tries to set up a logistics information system, which is mainly based on the collection, mining and application of data, and to establish an evaluation system, consisting of evaluation principles and evaluation index system, for the logistics information system.

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.

Study on Network Emergency Evaluation with Web-Based Information

2012 ◽  
Vol 605-607 ◽  
pp. 2466-2469
Author(s):  
Chuan Mei Wang
Keyword(s):  
Index System ◽  
Structural Model ◽  
Monitoring And Evaluation ◽  
Empirical Method ◽  
Evaluation Index System ◽  
Public Security ◽  
Web Based ◽  
Feedback Information ◽  
The Index System ◽  
Set Up

Efforts to develop evaluation of networking emergency have been hampered by many obstacles. With the observation of network users’ browsing actions, the implicit feedback of the online people can be obtained based on the Web information. With the analysis of the formation of network emergency and users’ Web browsing actions, the users’ feedback information can be gotten. Based on the classification and summary of the feedback, the monitoring and evaluation index system of network emergency is set up. Furthermore, the structural model of variables effect network emergency for the emergency evaluation is established, and the empirical method for monitoring and evaluation network emergency is put forward. Empirical analysis shows that the index system and the model are reasonable. The work is of important meaning to the realization of monitoring online public security management and network emergency early warning.

Assessment on Emergent Pollution Emergency of Water Environment of Qinghe River Basin Based on Fuzzy Integrated Evaluation Method

2014 ◽  
Vol 1010-1012 ◽  
pp. 570-575 ◽  
Author(s):  
Xing Guan Ma ◽  
Xue Ning Liu
Keyword(s):  
River Basin ◽  
Index System ◽  
Evaluation System ◽  
Evaluation Method ◽  
Water Environment ◽  
Quantitative Description ◽  
Evaluation Index System ◽  
Fuzzy Degree ◽  
Emergency Decision ◽  
Emergency System

For making timely and correct decisions for emergent pollution emergency of the water environment, combined with fuzzy integrated evaluation method, the model for the evaluation of emergency is established. Qinghe river basin is estimated in 3-level fuzzy integrated evaluation from 6 aspects. The results show that the score of emergent pollution emergency of the water environment of Qinghe river assessment is 3.9273,which close to a good level. The capacity of emergency support and emergency response is superior, and the abilities of emergency prevention, emergency decision-making and emergency recovery are relatively general, which should be completed.Emergent pollution emergency of the water environment is affected by many factors, a multi-target integrated evaluation system should be established. At present, the emergent pollution emergency system of water environment in our country still needs to be improved, the construction of which started relatively late, and the evaluation of which is at the exploration stage. To find the existing problems and shortcomings in emergency system of emergent pollution in water environment, the emergency evaluation index system is established, which improve the water environmental pollution emergency system. However, most of the indicators building the index system are qualitative, which has certain fuzziness when being estimated. Meanwhile it exists certain fuzziness when expressing characterizing attributes of the degree of realization and level of most evaluation indicators, and it is difficult to use specific, accurate data for quantitative description, generally it is expressed by fuzzy degree concepts like ‘Excellent, good, medium, qualified, bad’ and so on. Therefore, the emergent pollution of water environment is estimated by fuzzy integrated evaluation method in this paper.

Study on the Evaluation of Scientific Research Achievements Based on the BP Neural Network

2012 ◽  
Vol 170-173 ◽  
pp. 3436-3439
Author(s):  
Xiao Hui Hou ◽  
Lei Huang ◽  
Xue Fei Li
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Index System ◽  
Evaluation Method ◽  
Scientific Research ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Evaluation Result ◽  
Set Up ◽  
Solution Efficiency

The scientific research achievements are evaluated based on the BP neural network method which is developed in this paper. According to the analysis and consult with the well-known experts, set up the evaluation index system of scientific research achievements, and based on it, the BP neural network model which is used to evaluate the scientific research achievements is established. Through an actual example, in order to improve the solution efficiency, use the Matlab software to solve the model and get the evaluation result of the scientific research achievements in the example. The evaluation result has high accuracy and could meet the basic actual needs. The evaluation method which is set up in this paper will benefit to our country's evaluation index system of the scientific research achievements and will promote the development of evaluation methods of the scientific research achievements.

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