Cargando…
Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method
To minimize losses caused by flooding of areas in a river basin, flood risk management may sacrifice the interests of some areas. Because of regional differences in natural and urban conditions, rankings of the urgencies of flood drainage rights allocations in different regions are of great practica...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460201/ https://www.ncbi.nlm.nih.gov/pubmed/32796760 http://dx.doi.org/10.3390/ijerph17165821 |
_version_ | 1783576547221831680 |
---|---|
author | Zhang, Dandan Shen, Juqin Liu, Pengfei Sun, Fuhua |
author_facet | Zhang, Dandan Shen, Juqin Liu, Pengfei Sun, Fuhua |
author_sort | Zhang, Dandan |
collection | PubMed |
description | To minimize losses caused by flooding of areas in a river basin, flood risk management may sacrifice the interests of some areas. Because of regional differences in natural and urban conditions, rankings of the urgencies of flood drainage rights allocations in different regions are of great practical significance to the realization of optimal allocations and reduction of damages. Based on the “pressure–state–response” (PSR) framework, this study designed an index system of flood drainage rights allocations in river basins for the comprehensive consideration of the different attributes of regional societies, environments, and technologies, as well as the differences in the quality of technical management and in the levels of social and economic development. A Pythagoras fuzzy TOPSIS method was used to evaluate the urgencies and determine the management of allocations in different areas. Eight cities in Jiangsu Province in the Huai River Basin were selected as the research objects. The results showed that pressure factors played dominant roles in the degrees of urgency. Among the cities, Nantong had the highest degree, followed by Taizhou, whereas Lianyungang had the lowest. The degrees in the central region of Jiangsu were higher than in the northern region. |
format | Online Article Text |
id | pubmed-7460201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74602012020-09-02 Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method Zhang, Dandan Shen, Juqin Liu, Pengfei Sun, Fuhua Int J Environ Res Public Health Article To minimize losses caused by flooding of areas in a river basin, flood risk management may sacrifice the interests of some areas. Because of regional differences in natural and urban conditions, rankings of the urgencies of flood drainage rights allocations in different regions are of great practical significance to the realization of optimal allocations and reduction of damages. Based on the “pressure–state–response” (PSR) framework, this study designed an index system of flood drainage rights allocations in river basins for the comprehensive consideration of the different attributes of regional societies, environments, and technologies, as well as the differences in the quality of technical management and in the levels of social and economic development. A Pythagoras fuzzy TOPSIS method was used to evaluate the urgencies and determine the management of allocations in different areas. Eight cities in Jiangsu Province in the Huai River Basin were selected as the research objects. The results showed that pressure factors played dominant roles in the degrees of urgency. Among the cities, Nantong had the highest degree, followed by Taizhou, whereas Lianyungang had the lowest. The degrees in the central region of Jiangsu were higher than in the northern region. MDPI 2020-08-11 2020-08 /pmc/articles/PMC7460201/ /pubmed/32796760 http://dx.doi.org/10.3390/ijerph17165821 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Dandan Shen, Juqin Liu, Pengfei Sun, Fuhua Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method |
title | Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method |
title_full | Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method |
title_fullStr | Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method |
title_full_unstemmed | Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method |
title_short | Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method |
title_sort | allocation of flood drainage rights based on the psr model and pythagoras fuzzy topsis method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460201/ https://www.ncbi.nlm.nih.gov/pubmed/32796760 http://dx.doi.org/10.3390/ijerph17165821 |
work_keys_str_mv | AT zhangdandan allocationofflooddrainagerightsbasedonthepsrmodelandpythagorasfuzzytopsismethod AT shenjuqin allocationofflooddrainagerightsbasedonthepsrmodelandpythagorasfuzzytopsismethod AT liupengfei allocationofflooddrainagerightsbasedonthepsrmodelandpythagorasfuzzytopsismethod AT sunfuhua allocationofflooddrainagerightsbasedonthepsrmodelandpythagorasfuzzytopsismethod |