162 related articles for article (PubMed ID: 37020948)
1. Flood vulnerability assessment in the Jamuna river floodplain using multi-criteria decision analysis: A case study in Jamalpur district, Bangladesh.
Nahin KTK; Islam SB; Mahmud S; Hossain I
Heliyon; 2023 Mar; 9(3):e14520. PubMed ID: 37020948
[TBL] [Abstract][Full Text] [Related]
2. AHP and TOPSIS based flood risk assessment- a case study of the Navsari City, Gujarat, India.
Pathan AI; Girish Agnihotri P; Said S; Patel D
Environ Monit Assess; 2022 Jun; 194(7):509. PubMed ID: 35713716
[TBL] [Abstract][Full Text] [Related]
3. Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia.
Desalegn H; Mulu A
Heliyon; 2021 Jan; 7(1):e05865. PubMed ID: 33506123
[TBL] [Abstract][Full Text] [Related]
4. Assessment of vulnerability to flood risk in the Padma River Basin using hydro-morphometric modeling and flood susceptibility mapping.
Abrar MF; Iman YE; Mustak MB; Pal SK
Environ Monit Assess; 2024 Jun; 196(7):661. PubMed ID: 38918209
[TBL] [Abstract][Full Text] [Related]
5. A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India.
Bagyaraj M; Senapathi V; Chung SY; Gopalakrishnan G; Xiao Y; Karthikeyan S; Nadiri AA; Barzegar R
Environ Sci Pollut Res Int; 2023 Sep; 30(45):100562-100575. PubMed ID: 37639084
[TBL] [Abstract][Full Text] [Related]
6. Mapping flood vulnerability using an analytical hierarchy process (AHP) in the Metropolis of Mumbai.
Mann R; Gupta A
Environ Monit Assess; 2023 Nov; 195(12):1534. PubMed ID: 38008879
[TBL] [Abstract][Full Text] [Related]
7. Spatial assessment of flood vulnerability and waterlogging extent in agricultural lands using RS-GIS and AHP technique-a case study of Patan district Gujarat, India.
Gahalod NSS; Rajeev K; Pant PK; Binjola S; Yadav RL; Meena RL
Environ Monit Assess; 2024 Mar; 196(4):338. PubMed ID: 38430346
[TBL] [Abstract][Full Text] [Related]
8. Application of geographical information system-based analytical hierarchy process modeling for flood susceptibility mapping of Krishna District in Andhra Pradesh.
Penki R; Basina SS; Tanniru SR
Environ Sci Pollut Res Int; 2023 Sep; 30(44):99062-99075. PubMed ID: 36087179
[TBL] [Abstract][Full Text] [Related]
9. Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models.
Senan CPC; Ajin RS; Danumah JH; Costache R; Arabameri A; Rajaneesh A; Sajinkumar KS; Kuriakose SL
Stoch Environ Res Risk Assess; 2023; 37(2):527-556. PubMed ID: 35880038
[TBL] [Abstract][Full Text] [Related]
10. District flood vulnerability assessment using analytic hierarchy process (AHP) with historical flood events in Bhutan.
Tempa K
PLoS One; 2022; 17(6):e0270467. PubMed ID: 35749469
[TBL] [Abstract][Full Text] [Related]
11. Micro-spatial flood risk assessment in Nagaon district, Assam (India) using GIS-based multi-criteria decision analysis (MCDA) and analytical hierarchy process (AHP).
Bhuyan MJ; Deka N; Saikia A
Risk Anal; 2024 Apr; 44(4):817-832. PubMed ID: 37474467
[TBL] [Abstract][Full Text] [Related]
12. Flood Hazard Zoning of Upper Awash River Basin, Ethiopia, Using the Analytical Hierarchy Process (AHP) as Compared to Sensitivity Analysis.
Mekonnen TM; Mitiku AB; Woldemichael AT
ScientificWorldJournal; 2023; 2023():1675634. PubMed ID: 37077513
[TBL] [Abstract][Full Text] [Related]
13. Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy process.
Bui QD; Luu C; Mai SH; Ha HT; Ta HT; Pham BT
Risk Anal; 2022 Sep; ():. PubMed ID: 36088657
[TBL] [Abstract][Full Text] [Related]
14. A geospatial analysis of flood risk zones in Cyprus: insights from statistical and multi-criteria decision analysis methods.
Ghanem MAAN; Zaifoglu H
Environ Sci Pollut Res Int; 2024 May; 31(22):32875-32900. PubMed ID: 38671266
[TBL] [Abstract][Full Text] [Related]
15. A GIS based flood vulnerability modelling of Anambra State using an integrated IVFRN-DEMATEL-ANP model.
Chukwuma EC; Okonkwo CC; Ojediran JO; Anizoba DC; Ubah JI; Nwachukwu CP
Heliyon; 2021 Sep; 7(9):e08048. PubMed ID: 34622057
[TBL] [Abstract][Full Text] [Related]
16. Multiparameter flood hazard, socioeconomic vulnerability and flood risk assessment for densely populated coastal city.
M Jibhakate S; V Timbadiya P; L Patel P
J Environ Manage; 2023 Oct; 344():118405. PubMed ID: 37331312
[TBL] [Abstract][Full Text] [Related]
17. Mapping flood susceptibility with PROMETHEE multi-criteria analysis method.
Plataridis K; Mallios Z
Environ Sci Pollut Res Int; 2024 Jun; 31(28):41267-41289. PubMed ID: 38847951
[TBL] [Abstract][Full Text] [Related]
18. Developing quantifiable approaches for delineating suitable options for irrigating fallow areas during dry season-a case study from Eastern India.
Behera MD; Biradar C; Das P; Chowdary VM
Environ Monit Assess; 2020 Jan; 191(Suppl 3):805. PubMed ID: 31989341
[TBL] [Abstract][Full Text] [Related]
19. Determining the effect of urbanization on flood hazard zones in Kahramanmaras, Turkey, using flood hazard index and multi-criteria decision analysis.
Dutal H
Environ Monit Assess; 2022 Nov; 195(1):92. PubMed ID: 36352156
[TBL] [Abstract][Full Text] [Related]
20. Novel integrated modelling based on multiplicative long short-term memory (mLSTM) deep learning model and ensemble multi-criteria decision making (MCDM) models for mapping flood risk.
Mohammadifar A; Gholami H; Golzari S
J Environ Manage; 2023 Nov; 345():118838. PubMed ID: 37595460
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]