This page has only limited features, please log in for full access.
Haofang Wang; Ruan Yun; Ranhang Zhao; Zhen Qi. Flash flood risk evaluation based on variable fuzzy method and fuzzy clustering analysis. Journal of Intelligent & Fuzzy Systems 2019, 37, 4861 -4872.
AMA StyleHaofang Wang, Ruan Yun, Ranhang Zhao, Zhen Qi. Flash flood risk evaluation based on variable fuzzy method and fuzzy clustering analysis. Journal of Intelligent & Fuzzy Systems. 2019; 37 (4):4861-4872.
Chicago/Turabian StyleHaofang Wang; Ruan Yun; Ranhang Zhao; Zhen Qi. 2019. "Flash flood risk evaluation based on variable fuzzy method and fuzzy clustering analysis." Journal of Intelligent & Fuzzy Systems 37, no. 4: 4861-4872.
With the rapid socio-economic development, human disturbances are believed to have resulted in the degradation of the watershed ecosystem. The ecological damage to and environmental pollution of river basins have caused great losses. It is widely agreed upon that the protection and restoration of river ecosystems should be on the agenda. Ecological compensation, an important tool to prevent the deterioration of water environments and achieve sustainable watershed development, has attracted increasing interest as a research subject. In this study, the upper reach of Hun River basin was selected as a typical study area. The primary purpose was to determine the allocation costs of ecological compensation in different regions for the river basin. The amount of willingness-to-pay (WTP) for the eco-compensation was estimated at 3.2 million dollars by the Contingent Valuation Method (CVM). Based on linear programming techniques, a Data Envelopment Analysis (DEA) created a primary value of the allocation costs. Considering the different weights of each region, a modified coefficient was introduced to correct the primary result on the basis of a questionnaire survey of river ecological protection and construction.
Xin Jiang; Yuyu Liu; Ranhang Zhao. A Framework for Ecological Compensation Assessment: A Case Study in the Upper Hun River Basin, Northeast China. Sustainability 2019, 11, 1205 .
AMA StyleXin Jiang, Yuyu Liu, Ranhang Zhao. A Framework for Ecological Compensation Assessment: A Case Study in the Upper Hun River Basin, Northeast China. Sustainability. 2019; 11 (4):1205.
Chicago/Turabian StyleXin Jiang; Yuyu Liu; Ranhang Zhao. 2019. "A Framework for Ecological Compensation Assessment: A Case Study in the Upper Hun River Basin, Northeast China." Sustainability 11, no. 4: 1205.
Flash flood is one of the most significant natural disasters in China, particularly in mountainous area, causing heavy economic damage and casualties of life. Accurate risk assessment is critical to an efficient flash flood management. There are more than 530,000 small watersheds in 2058 counties in China where flash flood should be prevented. In practice, with limited fund and different risk levels, the priorities of each small watershed for flash flood prevention and control are also needed for an efficient flash flood management. This paper, take Licheng county in China as an example, aims to give out these priorities for management. First, sensitive indexes are identified among index system, which includes 9 indexes based on underlying surface characteristics of small watershed in hilly region. Second, the range of each index and the rank division of each index for evaluation are determined. Based on the rank divisions for evaluation, the flash flood risk grade eigenvalue (H) is calculated by Variable Fuzzy Method (VFM ) using 1000 samplings generated by Latin hypercube sampling method. Third, the key sensitivity factors that affect flash flood risk grade eigenvalue (H) are assessed by two different global sensitivity analysis methods -- stepwise regression analysis and mutual entropy. Both results indicate that watershed slope (S) is the most sensitive factor; the second is antecedent precipitation index (CN); while other factors are slightly different sensitive in sequence. This study shows that stepwise regression analysis and mutual information analysis are appropriate for the sensitivity analysis of mountain flash flood risk. Finally, based on watershed slope (S), the priorities of flash flood prevention and control of 119 small watersheds in Licheng county are given out.
Haofang Wang; Jincun Zhang; Ruan Yun; Ranhang Zhao. Sensitivity Analysis of Mountain Flash Flood Risk: Case of Licheng County in China. 2017, 1 .
AMA StyleHaofang Wang, Jincun Zhang, Ruan Yun, Ranhang Zhao. Sensitivity Analysis of Mountain Flash Flood Risk: Case of Licheng County in China. . 2017; ():1.
Chicago/Turabian StyleHaofang Wang; Jincun Zhang; Ruan Yun; Ranhang Zhao. 2017. "Sensitivity Analysis of Mountain Flash Flood Risk: Case of Licheng County in China." , no. : 1.
A rational water price system plays a crucial role in the optimal allocation of water resources. In this paper, a fuzzy pricing model for urban water resources is presented, which consists of a multi-criteria fuzzy evaluation model and a water resources price (WRP) computation model. Various factors affecting WRP are comprehensively evaluated with multiple levels and objectives in the multi-criteria fuzzy evaluation model, while the price vectors of water resources are constructed in the WRP computation model according to the definition of the bearing water price index, and then WRP is calculated. With the incorporation of an operator's knowledge, it considers iterative weights and subjective preference of operators for weight-assessment. The weights determined are more rational and the evaluation results are more realistic. Particularly, dual water supply is considered in the study. Different prices being fixed for water resources with different qualities conforms to the law of water resources value (WRV) itself. A high-quality groundwater price computation model is also proposed to provide optimal water allocation and to meet higher living standards. The developed model is applied in Jinan for evaluating its validity. The method presented in this paper offers some new directions in the research of WRP.
Ranhang Zhao; Shouyu Chen. Fuzzy pricing for urban water resources: Model construction and application. Journal of Environmental Management 2008, 88, 458 -466.
AMA StyleRanhang Zhao, Shouyu Chen. Fuzzy pricing for urban water resources: Model construction and application. Journal of Environmental Management. 2008; 88 (3):458-466.
Chicago/Turabian StyleRanhang Zhao; Shouyu Chen. 2008. "Fuzzy pricing for urban water resources: Model construction and application." Journal of Environmental Management 88, no. 3: 458-466.