Water Conservation Science and Engineering, Год журнала: 2024, Номер 9(2)
Опубликована: Авг. 9, 2024
Язык: Английский
Water Conservation Science and Engineering, Год журнала: 2024, Номер 9(2)
Опубликована: Авг. 9, 2024
Язык: Английский
Journal of Hydrology, Год журнала: 2024, Номер unknown, С. 132177 - 132177
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
4Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145630 - 145630
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0Опубликована: Фев. 12, 2024
Intense climate change and rapid urbanization have increased the risk of urban flooding, seriously affecting economic social stability. Enhancing flood resilience (UFR) has required a new solution to cope with disasters. In this study, taking Yingtan city as an example, system indicators for evaluating UFR was constructed, 17 representative indicators, comprising three subsystems: socio-economic, ecological infrastructural. A hybrid (FAHP-EWM)-TOPSIS model applied, develop index-based measurement compare evaluate UFR, Gray Relational Analysis (GRA) used discover main factors UFR. addition, natural discontinuous method innovatively divide grade interval into levels, evaluated based on TOPSIS method. The results showed that (1) from 2010 2022, in City by 80.69%, are highly correlated infrastructure development. However, subsystem fluctuating downward trend, because influence surface area lakes rivers. (2) grades Level III (2010 2016) IV (2022), local financial expenditures age structure population being currently limiting development study provides theoretical basis construction indicator assessing proposes practical improvement directions
Язык: Английский
Процитировано
1Water, Год журнала: 2024, Номер 16(6), С. 834 - 834
Опубликована: Март 13, 2024
Intense climate change and rapid urbanization have increased the risk of urban flooding, seriously affecting economic social stability. Enhancing flood resilience (UFR) has required a new solution to cope with disasters. In this study, taking Yingtan city as an example, system indicators for evaluating UFR was constructed, 17 representative indicators, comprising three subsystems: socio-economic, ecological, infrastructural. A hybrid model combining Fuzzy Analytic Hierarchy Process (FAHP), Entropy Weight Method (EWM), Technique Order Preference by Similarity Ideal Solution (TOPSIS) applied, develop index-based measurement compare evaluate UFR, Gray Relational Analysis (GRA) used discover main factors UFR. addition, natural discontinuous method innovatively divide grade interval into levels, evaluated based on TOPSIS method. The results showed that (1) From 2010 2022, in City 80.69%, were highly correlated infrastructure development; however, ecological subsystem fluctuating downward trend because influence surface area lakes rivers; (2) grades from Level III (2010 2016) IV (2022), local financial expenditures age structure population being currently limiting development study provides theoretical basis construction indicator assessing proposes practical improvement directions
Язык: Английский
Процитировано
1Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Май 31, 2024
Язык: Английский
Процитировано
0Water Conservation Science and Engineering, Год журнала: 2024, Номер 9(2)
Опубликована: Авг. 9, 2024
Язык: Английский
Процитировано
0