Preprints
https://doi.org/10.5194/nhess-2020-399
https://doi.org/10.5194/nhess-2020-399
11 Jan 2021
 | 11 Jan 2021
Status: this preprint was under review for the journal NHESS but the revision was not accepted.

Integrated Multi-parametric Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) based Spatial modelling for Flood and Water logging Susceptibility Mapping: A case study of English Bazar Municipality of Malda, West Bengal, India

Diyali Chattaraj, Biswajit Paul, and Subir Sarkar

Abstract. Waterlogging as a perennial problem is deep rooted on the urban fabrics of English Bazar Municipality. The present study pertains to vulnerability and risk assessment of flood and waterlogging susceptible areas in a micro or local scale, based on an integrated Analytic Hierarchy Process-Geographic information System (AHP-GIS) category model. For this purpose, a multi-criteria assessment of natural, quasi-natural and man-made factors have been performed. Criterion includes six parameters namely elevation, slope, soil, flow accumulation, land use land cover, density of digitized drain network which are responsible to initiate the waterlogged condition within municipality premises. The weights of all criterion are computed by pair wise comparison decision matrix (AHP). According to their weightage, information of different parameters are superimposed for a final weighted overlay analysis following a spatial modelling, under ArcGIS 10.5 platform to delineate the flood and water logging susceptible zones. The result obtained from this study indicate 11.45 %, 3.05 % and 85.49 % area of municipality corresponds with highly vulnerable, low and moderately vulnerable respectively. The major finding in the study reveals that unplanned urban expansion in the hazardous low-lying area by filling up of wetlands and depressions in association with inadequate drainage gravity provisions in the newly built-up wards (3, 23, 24 and 25) are noteworthy for resultant waterlogging condition. The present paper also aims to suggest long-term mitigation measures to be well integrated for arriving at a well drafted and implementable comprehensive drainage plan of English Bazar municipality.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Diyali Chattaraj, Biswajit Paul, and Subir Sarkar

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2020-399', Anonymous Referee #1, 19 May 2021
    • AC1: 'Reply on RC1_Author comment', Diyali Chattaraj, 30 May 2021
  • RC2: 'Comment on nhess-2020-399', Anonymous Referee #2, 20 May 2021
    • AC2: 'Reply on RC2_Author Comment', Diyali Chattaraj, 04 Jun 2021
  • RC3: 'Comment on nhess-2020-399', Anonymous Referee #3, 20 May 2021
    • AC3: 'Reply on RC3_Author Comment', Diyali Chattaraj, 08 Jun 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2020-399', Anonymous Referee #1, 19 May 2021
    • AC1: 'Reply on RC1_Author comment', Diyali Chattaraj, 30 May 2021
  • RC2: 'Comment on nhess-2020-399', Anonymous Referee #2, 20 May 2021
    • AC2: 'Reply on RC2_Author Comment', Diyali Chattaraj, 04 Jun 2021
  • RC3: 'Comment on nhess-2020-399', Anonymous Referee #3, 20 May 2021
    • AC3: 'Reply on RC3_Author Comment', Diyali Chattaraj, 08 Jun 2021
Diyali Chattaraj, Biswajit Paul, and Subir Sarkar
Diyali Chattaraj, Biswajit Paul, and Subir Sarkar

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Short summary
The present study pertains to identify and mapping of the water-logging susceptible zones in a municipality which has become a perennial deep rooted problem on the urban fabrics. By considering multi-criteria assessment of six natural and man-made factors the result reveals that 11.45 %, 3.05 % and 85.49 % area corresponds with highly vulnerable, low and moderately vulnerable respectively, is attributed to unplanned urban expansion in the hazardous low-lying area with inadequate drainage problem.
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