PMID- 37093376 OWN - NLM STAT- MEDLINE DCOM- 20230517 LR - 20230517 IS - 1614-7499 (Electronic) IS - 0944-1344 (Linking) VI - 30 IP - 24 DP - 2023 May TI - Settlement suitability analysis of a riverine floodplain in the perspective of GIS-based multicriteria decision analysis. PG - 66002-66020 LID - 10.1007/s11356-023-26985-4 [doi] AB - Riverine floodplains are highly dynamic and the most vulnerable space on Earth particularly in flat alluvial plains of major river systems. Suitable site selection for sustainable human settlements in active floodplain areas is a critical task for decision-makers in terms of quality of lithology, ecologically fragile landmass, climate-induced hazards, immense population pressure, and environmental conservation issues. This research introduces a methodology for settlement suitability zone (SSZ) that employs GIS-based multi-criteria decision-making (MCDM) techniques. As a case study, an altered hydrological regime of the lower Ganga riparian zone was chosen to identify the SSZ as these areas are the most susceptible to riverine hazards. Twelve significant variables reflecting on topography, climate, landscape, and environment have been selected in the multi-criteria evaluation platform. The CRiteria Importance Through Intercriteria Correlation (CRITIC) method is adopted to specify the weights of the criteria and utilize an inverse distance-weighted (IDW) spatial interpolation technique to generate an SSZ map in a GIS environment. The study zone is spatially quantified into five categories, from unsuitable to high-suitable with a natural breaks (Jenks) classification method. Subsequently, the final results are validated through a receiver operating characteristics (ROC) curve using randomly selected 56 hazard-exposed location points. The outcome revealed that 8.45% of the riparian area falls under unsuitable, 21.87% under low-suitable, and 33.27% under moderate-suitable for locating human settlements. The generally suitable and high-suitable categories account for 36.40% of the total study zone. A spatial sensitivity analysis is also applied to gauge the influence of each parameter on the MCDM outcomes. The SSZ mapping results from this study can help local authorities to plan for sustainable settlement development in environmentally fragile areas. CI - (c) 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. FAU - Alam, Nasibul AU - Alam N AUID- ORCID: 0000-0002-2720-8720 AD - Department of Architecture, Town and Regional Planning, IIEST, Shibpur, 711103, India. nasibalam11@gmail.com. FAU - Saha, Swati AU - Saha S AD - Department of Architecture, Town and Regional Planning, IIEST, Shibpur, 711103, India. FAU - Gupta, Srimanta AU - Gupta S AD - Department of Environmental Science, University of Burdwan, Burdwan, 713104, India. FAU - Chatterjee, Anubhav AU - Chatterjee A AD - Department of Architecture, Town and Regional Planning, IIEST, Shibpur, 711103, India. LA - eng PT - Journal Article DEP - 20230424 PL - Germany TA - Environ Sci Pollut Res Int JT - Environmental science and pollution research international JID - 9441769 SB - IM MH - Humans MH - *Geographic Information Systems MH - *Decision Support Techniques MH - Spatial Analysis MH - Sustainable Development MH - Climate OTO - NOTNLM OT - CRITIC OT - Gangetic floodplains OT - Land-use suitability OT - Multi-criteria decision-making (MCDM) OT - Riverine hazards EDAT- 2023/04/24 12:41 MHDA- 2023/05/17 06:42 CRDT- 2023/04/24 11:18 PHST- 2022/11/11 00:00 [received] PHST- 2023/04/09 00:00 [accepted] PHST- 2023/05/17 06:42 [medline] PHST- 2023/04/24 12:41 [pubmed] PHST- 2023/04/24 11:18 [entrez] AID - 10.1007/s11356-023-26985-4 [pii] AID - 10.1007/s11356-023-26985-4 [doi] PST - ppublish SO - Environ Sci Pollut Res Int. 2023 May;30(24):66002-66020. doi: 10.1007/s11356-023-26985-4. Epub 2023 Apr 24.