{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T12:21:00Z","timestamp":1781871660524,"version":"3.54.5"},"reference-count":60,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,12,19]],"date-time":"2018-12-19T00:00:00Z","timestamp":1545177600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"International Centre for Integrated Mountain Development (ICIMOD)","award":["SERVIR-H 2014 016"],"award-info":[{"award-number":["SERVIR-H 2014 016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>This article aims to develop a Web-GIS based landslide early warning system (EWS) for the Chittagong Metropolitan Area (CMA), Bangladesh, where, in recent years, rainfall-induced landslides have caused great losses of lives and property. A method for combining static landslide susceptibility maps and rainfall thresholds is proposed by introducing a purposely-build hazard matrix. To begin with, eleven factor maps: soil permeability; surface geology; landcover; altitude; slope; aspect; distance to stream; fault line; hill cut; road cut; and drainage network along with a detailed landslide inventory map were produced. These maps were used, and four methods were applied: artificial neural network (ANN); multiple regressions; principal component analysis; and support vector machine to produce landslide susceptibility maps. After model validation, the ANN map was found best fitting and was classified into never warning, low, medium, and high susceptibility zones. Rainfall threshold analysis (1960\u20132017) revealed consecutive 5-day periods of rainfall of 71\u2013282 mm could initiate landslides in CMA. Later, the threshold was classified into three rainfall rates: low rainfall (70\u2013160 mm), medium rainfall (161\u2013250 mm), and high rainfall (&gt;250 mm). Each landslide was associated with a hazard class (no warning vs. warning state) based on the assumption that the higher the susceptibility, the lower the rainfall. Finally, the EWS was developed using various libraries and frameworks that is connected with a reliable online-based weather application programming interface. The system is publicly available, dynamic, and replicable to similar contexts and is able to disseminate alerts five days in advance via email notifications. The proposed EWS is novel and the first of its kind in Bangladesh, and can be applied to mitigate landslide disaster risks.<\/jats:p>","DOI":"10.3390\/ijgi7120485","type":"journal-article","created":{"date-parts":[[2018,12,19]],"date-time":"2018-12-19T12:12:44Z","timestamp":1545221564000},"page":"485","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":71,"title":["Developing a Dynamic Web-GIS Based Landslide Early Warning System for the Chittagong Metropolitan Area, Bangladesh"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5092-5528","authenticated-orcid":false,"given":"Bayes","family":"Ahmed","sequence":"first","affiliation":[{"name":"Institute for Risk and Disaster Reduction, University College London (UCL), Gower Street, London WC1E 6BT, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5540-3307","authenticated-orcid":false,"given":"Md. Shahinoor","family":"Rahman","sequence":"additional","affiliation":[{"name":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA"},{"name":"BUET-Japan Institute of Disaster Prevention and Urban Safety (BUET-JIDPUS), Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rahenul","family":"Islam","sequence":"additional","affiliation":[{"name":"International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Sammonds","sequence":"additional","affiliation":[{"name":"Institute for Risk and Disaster Reduction, University College London (UCL), Gower Street, London WC1E 6BT, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4702-4021","authenticated-orcid":false,"given":"Chao","family":"Zhou","sequence":"additional","affiliation":[{"name":"Engineering Faculty, China University of Geosciences, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2711-5791","authenticated-orcid":false,"given":"Kabir","family":"Uddin","sequence":"additional","affiliation":[{"name":"Geospatial Solutions Theme, International Centre for Integrated Mountain Development (ICIMOD), Kathmandu 44073, Nepal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tahmeed M.","family":"Al-Hussaini","sequence":"additional","affiliation":[{"name":"BUET-Japan Institute of Disaster Prevention and Urban Safety (BUET-JIDPUS), Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh"},{"name":"Department of Civil Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,19]]},"reference":[{"key":"ref_1","unstructured":"(2015). 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