FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297238420> ?p ?o ?g. }

• W4297238420 endingPage "4777" @default.
• W4297238420 startingPage "4777" @default.
• W4297238420 abstract "Flood risk assessment is an important tool for disaster warning and prevention. In this study, an integrated approach based on a D-number-improved analytic hierarchy process (D-AHP) and a self-organizing map (SOM) clustering algorithm are proposed for urban flooding risk assessment. The urban flood inundation model and geographic information system (GIS) technology were used to quantify the assessment indices of urban flood risk. The D-AHP approach was adopted to determine the weights of the indices, which effectively makes up for the shortcomings of the AHP in dealing with uncertain evaluation information (such as fuzzy and incomplete information). In addition, the SOM clustering algorithm was applied to determine the flood risk level. It is a data-driven approach that avoids the subjective determination of a flood risk classification threshold. The proposed approach for flood risk assessment was implemented in Zhengzhou, China. The flood risk was classified into five levels: highest risk, higher risk, medium risk, lower risk, and the lowest risk. The proportion of the highest risk areas was 9.86%; such areas were mainly distributed in the central and eastern parts of the Jinshui District, the eastern part of the Huiji District, and the northeastern part of the Guancheng District, where there were low terrain and serious waterlogging. The higher risk areas accounted for 24.26% of the study area, and were mainly distributed in the western and southern parts of the Jinshui District, the southern part of the Huiji District, the middle and eastern parts of the Zhongyuan District, the northeastern part of the Erqi District, and the northwestern part of the Guancheng District, which consisted of economically developed areas of dense population and buildings, matching well with historical flooding events. To verify the effectiveness of the proposed approach, traditional approaches for risk assessment were compared. The comparison indicated that the proposed approach is more reasonable and accurate than the traditional approaches. This study showed the potential of a novel approach to flood risk assessment. The results can provide a reference for urban flood management and disaster reduction in the study area." @default.
• W4297238420 created "2022-09-28" @default.
• W4297238420 creator A5011271853 @default.
• W4297238420 creator A5013045728 @default.
• W4297238420 creator A5029984716 @default.
• W4297238420 creator A5042539848 @default.
• W4297238420 creator A5059863524 @default.
• W4297238420 creator A5079731422 @default.
• W4297238420 date "2022-09-24" @default.
• W4297238420 modified "2023-10-12" @default.
• W4297238420 title "Urban Flood Risk Assessment in Zhengzhou, China, Based on a D-Number-Improved Analytic Hierarchy Process and a Self-Organizing Map Algorithm" @default.
• W4297238420 cites W1612382101 @default.
• W4297238420 cites W1973967568 @default.
• W4297238420 cites W2002808981 @default.
• W4297238420 cites W2072645699 @default.
• W4297238420 cites W2084773003 @default.
• W4297238420 cites W2168881816 @default.
• W4297238420 cites W2256222306 @default.
• W4297238420 cites W2281514524 @default.
• W4297238420 cites W2406470551 @default.
• W4297238420 cites W2521814092 @default.
• W4297238420 cites W2547917911 @default.
• W4297238420 cites W2554673038 @default.
• W4297238420 cites W2568646186 @default.
• W4297238420 cites W2606592893 @default.
• W4297238420 cites W2620530835 @default.
• W4297238420 cites W2765985066 @default.
• W4297238420 cites W2771412470 @default.
• W4297238420 cites W2779735534 @default.
• W4297238420 cites W2790785337 @default.
• W4297238420 cites W2811389973 @default.
• W4297238420 cites W2889555356 @default.
• W4297238420 cites W2894452139 @default.
• W4297238420 cites W2903256322 @default.
• W4297238420 cites W2907678965 @default.
• W4297238420 cites W2913298360 @default.
• W4297238420 cites W2937577605 @default.
• W4297238420 cites W2946351321 @default.
• W4297238420 cites W2968124410 @default.
• W4297238420 cites W2969368313 @default.
• W4297238420 cites W2978145350 @default.
• W4297238420 cites W2995635323 @default.
• W4297238420 cites W3005791898 @default.
• W4297238420 cites W3007454630 @default.
• W4297238420 cites W3007999534 @default.
• W4297238420 cites W3011854702 @default.
• W4297238420 cites W3037786197 @default.
• W4297238420 cites W3042024008 @default.
• W4297238420 cites W3091212547 @default.
• W4297238420 cites W3092890821 @default.
• W4297238420 cites W3094299045 @default.
• W4297238420 cites W3124098577 @default.
• W4297238420 cites W3160650574 @default.
• W4297238420 cites W3199297548 @default.
• W4297238420 cites W3205251275 @default.
• W4297238420 cites W3207927158 @default.
• W4297238420 cites W3208123345 @default.
• W4297238420 cites W3209682781 @default.
• W4297238420 cites W3210983973 @default.
• W4297238420 cites W4285012643 @default.
• W4297238420 cites W4293059519 @default.
• W4297238420 cites W65738273 @default.
• W4297238420 doi "https://doi.org/10.3390/rs14194777" @default.
• W4297238420 hasPublicationYear "2022" @default.
• W4297238420 type Work @default.
• W4297238420 citedByCount "9" @default.
• W4297238420 countsByYear W42972384202022 @default.
• W4297238420 countsByYear W42972384202023 @default.
• W4297238420 crossrefType "journal-article" @default.
• W4297238420 hasAuthorship W4297238420A5011271853 @default.
• W4297238420 hasAuthorship W4297238420A5013045728 @default.
• W4297238420 hasAuthorship W4297238420A5029984716 @default.
• W4297238420 hasAuthorship W4297238420A5042539848 @default.
• W4297238420 hasAuthorship W4297238420A5059863524 @default.
• W4297238420 hasAuthorship W4297238420A5079731422 @default.
• W4297238420 hasBestOaLocation W42972384201 @default.
• W4297238420 hasConcept C12174686 @default.
• W4297238420 hasConcept C15744967 @default.
• W4297238420 hasConcept C166957645 @default.
• W4297238420 hasConcept C176053320 @default.
• W4297238420 hasConcept C186594467 @default.
• W4297238420 hasConcept C205649164 @default.
• W4297238420 hasConcept C2778061687 @default.
• W4297238420 hasConcept C33923547 @default.
• W4297238420 hasConcept C38652104 @default.
• W4297238420 hasConcept C39432304 @default.
• W4297238420 hasConcept C41008148 @default.
• W4297238420 hasConcept C41856607 @default.
• W4297238420 hasConcept C42475967 @default.
• W4297238420 hasConcept C524765639 @default.
• W4297238420 hasConcept C542102704 @default.
• W4297238420 hasConcept C58640448 @default.
• W4297238420 hasConcept C74256435 @default.
• W4297238420 hasConcept C87345402 @default.
• W4297238420 hasConceptScore W4297238420C12174686 @default.
• W4297238420 hasConceptScore W4297238420C15744967 @default.
• W4297238420 hasConceptScore W4297238420C166957645 @default.
• W4297238420 hasConceptScore W4297238420C176053320 @default.

• next