472 related articles for article (PubMed ID: 32210424)
1. GIS-based flood hazard mapping using relative frequency ratio method: A case study of Panjkora River Basin, eastern Hindu Kush, Pakistan.
Ullah K; Zhang J
PLoS One; 2020; 15(3):e0229153. PubMed ID: 32210424
[TBL] [Abstract][Full Text] [Related]
2. Spatial appraisal of flood risk assessment and evaluation using integrated hydro-probabilistic approach in Panjkora River Basin, Pakistan.
Mahmood S; Rahman AU; Shaw R
Environ Monit Assess; 2019 Aug; 191(9):573. PubMed ID: 31420751
[TBL] [Abstract][Full Text] [Related]
3. Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon
Khosravi K; Pourghasemi HR; Chapi K; Bahri M
Environ Monit Assess; 2016 Dec; 188(12):656. PubMed ID: 27826821
[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. 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]
6. Flood hazard mapping using geospatial techniques and satellite images-a case study of coastal district of Tamil Nadu.
Thirumurugan P; Krishnaveni M
Environ Monit Assess; 2019 Feb; 191(3):193. PubMed ID: 30810867
[TBL] [Abstract][Full Text] [Related]
7. Preparation of a flood-risk environmental index: case study of eight townships in Changhua County, Taiwan.
Peng SH
Environ Monit Assess; 2018 Feb; 190(3):174. PubMed ID: 29484509
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of urban flood susceptibility through integrated Bivariate statistics and Geospatial technology.
Muthu K; Ramamoorthy S
Environ Monit Assess; 2024 May; 196(6):526. PubMed ID: 38722374
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Flood susceptibility mapping by best-worst and logistic regression methods in Mersin, Turkey.
Özay B; Orhan O
Environ Sci Pollut Res Int; 2023 Mar; 30(15):45151-45170. PubMed ID: 36702983
[TBL] [Abstract][Full Text] [Related]
11. Flood hazard assessment in large plain basins with a scarce slope in the Pampean Plain, Argentina.
Borzi G; Roig A; Tanjal C; Santucci L; Tejada Tejada M; Carol E
Environ Monit Assess; 2021 Mar; 193(4):177. PubMed ID: 33751244
[TBL] [Abstract][Full Text] [Related]
12. Research on intelligent prediction and zonation of basin-scale flood risk based on LSTM method.
Yang M; Zhong PA; Li J; Liu W; Li Y; Yan K; Yuan Y; Gao Y
Environ Monit Assess; 2020 May; 192(6):387. PubMed ID: 32436015
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Regional Risk Evaluation of Flood Disasters for the Trunk-Highway in Shaanxi, China.
Qi HL; Tian WP; Li JC
Int J Environ Res Public Health; 2015 Oct; 12(11):13861-70. PubMed ID: 26528994
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Flood hazard mapping and assessment in data-scarce Nyaungdon area, Myanmar.
Khaing ZM; Zhang K; Sawano H; Shrestha BB; Sayama T; Nakamura K
PLoS One; 2019; 14(11):e0224558. PubMed ID: 31770381
[TBL] [Abstract][Full Text] [Related]
18. A GIS-Based Artificial Neural Network Model for Flood Susceptibility Assessment.
Khoirunisa N; Ku CY; Liu CY
Int J Environ Res Public Health; 2021 Jan; 18(3):. PubMed ID: 33530348
[TBL] [Abstract][Full Text] [Related]
19. Flood inundation mapping and monitoring in Kaziranga National Park, Assam using Sentinel-1 SAR data.
Borah SB; Sivasankar T; Ramya MNS; Raju PLN
Environ Monit Assess; 2018 Aug; 190(9):520. PubMed ID: 30112610
[TBL] [Abstract][Full Text] [Related]
20. Artificial Intelligence in Geospatial Analysis for Flood Vulnerability Assessment: A Case of Dire Dawa Watershed, Awash Basin, Ethiopia.
Tamiru H; Dinka MO
ScientificWorldJournal; 2021; 2021():6128609. PubMed ID: 34853568
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]