These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
201 related articles for article (PubMed ID: 34212324)
1. Towards a flood vulnerability assessment of watershed using integration of decision-making trial and evaluation laboratory, analytical network process, and fuzzy theories. Hosseini FS; Sigaroodi SK; Salajegheh A; Moghaddamnia A; Choubin B Environ Sci Pollut Res Int; 2021 Nov; 28(44):62487-62498. PubMed ID: 34212324 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Flood vulnerability indices at varying spatial scales. Balica SF; Douben N; Wright NG Water Sci Technol; 2009; 60(10):2571-80. PubMed ID: 19923763 [TBL] [Abstract][Full Text] [Related]
4. Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model. Yang W; Xu K; Lian J; Bin L; Ma C J Environ Manage; 2018 May; 213():440-450. PubMed ID: 29505999 [TBL] [Abstract][Full Text] [Related]
5. Assessing flood vulnerability using a rule-based fuzzy system. Yazdi J; Neyshabouri SA Water Sci Technol; 2012; 66(8):1766-73. PubMed ID: 22907463 [TBL] [Abstract][Full Text] [Related]
6. Predicting temporal and spatial variability in flood vulnerability and risk of rural communities at the watershed scale. Avand M; Moradi H; Ramazanzadeh Lasboyee M J Environ Manage; 2022 Dec; 323():116261. PubMed ID: 36150353 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. An uncertainty-based framework to quantifying climate change impacts on coastal flood vulnerability: case study of New York City. Zahmatkesh Z; Karamouz M Environ Monit Assess; 2017 Oct; 189(11):567. PubMed ID: 29043571 [TBL] [Abstract][Full Text] [Related]
9. ReAFFIRM: Real-time Assessment of Flash Flood Impacts - a Regional high-resolution Method. Ritter J; Berenguer M; Corral C; Park S; Sempere-Torres D Environ Int; 2020 Mar; 136():105375. PubMed ID: 31978631 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. GIS-based multicriteria decision analysis for settlement areas: a case study in Canik. Kilicoglu C Environ Sci Pollut Res Int; 2022 May; 29(24):35746-35759. PubMed ID: 35060034 [TBL] [Abstract][Full Text] [Related]
12. Flood vulnerability mapping and urban sprawl suitability using FR, LR, and SVM models. Youssef AM; Pourghasemi HR; Mahdi AM; Matar SS Environ Sci Pollut Res Int; 2023 Feb; 30(6):16081-16105. PubMed ID: 36178648 [TBL] [Abstract][Full Text] [Related]
13. Flood economic vulnerability and risk assessment at the urban mesoscale based on land use: A case study in Changsha, China. Yang M; Mohammad Yusoff WF; Mohamed MF; Jiao S; Dai Y J Environ Manage; 2024 Feb; 351():119798. PubMed ID: 38103426 [TBL] [Abstract][Full Text] [Related]
14. Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China. Hong H; Tsangaratos P; Ilia I; Liu J; Zhu AX; Chen W Sci Total Environ; 2018 Jun; 625():575-588. PubMed ID: 29291572 [TBL] [Abstract][Full Text] [Related]
15. Assessing Spatial Flood Vulnerability at Kalapara Upazila in Bangladesh Using an Analytic Hierarchy Process. Hoque MA; Tasfia S; Ahmed N; Pradhan B Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30875881 [TBL] [Abstract][Full Text] [Related]
16. A novel integrated Urban flood risk assessment approach coupling GeoDetector-Dematel and clustering method. Zheng C; Yang W; Jiang X; Lian J; Hu D; Yan X; Yan L J Environ Manage; 2024 Mar; 354():120308. PubMed ID: 38377751 [TBL] [Abstract][Full Text] [Related]
17. Integration of hard and soft supervised machine learning for flood susceptibility mapping. Andaryani S; Nourani V; Haghighi AT; Keesstra S J Environ Manage; 2021 Aug; 291():112731. PubMed ID: 33962279 [TBL] [Abstract][Full Text] [Related]
18. Urban flood susceptibility analysis of Saroor Nagar Watershed of India using Geomatics-based multi-criteria analysis framework. Vaddiraju SC; Talari R Environ Sci Pollut Res Int; 2023 Oct; 30(49):107021-107040. PubMed ID: 36520296 [TBL] [Abstract][Full Text] [Related]
19. A simulation-based approach for assessing regional and industrial flood vulnerability using mixed-MRIO model: A case study of Hubei Province, China. Jiang X; Lin Y; Yang L J Environ Manage; 2023 Aug; 339():117845. PubMed ID: 37054594 [TBL] [Abstract][Full Text] [Related]
20. River flood prediction using fuzzy neural networks: an investigation on automated network architecture. Khan UT; He J; Valeo C Water Sci Technol; 2017 Apr; 2017(1):238-247. PubMed ID: 29698238 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]