Top

Environmental Earth Sciences

Published in:

01-05-2017 | Original Article

Geospatial modelling of flood susceptibility pattern in a subtropical area of West Bengal, India

Authors: Harjeet Kaur, Srimanta Gupta, Surya Parkash, Raju Thapa, Rumpa Mandal

Published in: Environmental Earth Sciences | Issue 9/2017

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Flood hazards are the most destructive among all natural disasters and are a constant threat to human’s life and property. Effective disaster risk reduction strategies can be improved by geospatial approach in the way of producing information and knowledge that are useful to plan truly effective actions for the protection from floods. This research aims to develop a quantified predictive model of flood susceptibility in the Ghatal and Tamluk subdivision of Medinipur district of West Bengal, India, by means of empirically selected and weighted spatial predictors of flood. The weighted prediction model is used to quantify the spatial associations between individual geospatial factors within the flood inundated study area. Yule’s coefficient and distance distribution analysis are used to assign weights to individual geo-factors, and finally weighted spatial predictors are integrated to a multi-class index overlay analysis to derive the spatially explicit predictive model of flood susceptibility. The resultant susceptibility model reveals that approximately 32.35 and 52.99% of the total study areas (3261.45 km²) are under the category of high-to-moderate flood susceptible zone. Quantitative results of this study could be integrated into the policy process in the formulation of local and national government plans for the future flood mitigation management and also to develop appropriate infrastructure in order to protect the lives and properties of the common people of the Medinipur district.

previous article Comparison of volatile organic compounds in stormwater and groundwater in Seoul metropolitan city, South Korea

next article Geochemical and qualitative assessment of groundwater of the High Mekerra watershed, NW Algeria

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Ajin RS, Krishnamurthy RR, Jayaprakash M, Vinod PG (2013) Flood hazard assessment of Vamanapuram River Basin, Kerala, India: an approach using remote sensing & GIS techniques. Adv Appl Sci Res 4(3):263–274

Bahinipati CS (2014) Assessment of vulnerability to cyclones and floods in Odisha, India: a district-level analysis. Curr Sci 107(12):1997–2007

Berman M (1977) Distance distributions associated with Poisson processes of geometric figures. J Appl Probab 14:195–199CrossRef

Berman M (1986) Testing for spatial associations between a point process and another stochastic process. Appl Stats 35:62–64CrossRef

Bhaskar NR, Parida B, Nayak AK (1997) Flood estimation for ungauged catchments using the GIUH. J Water Res Pl-ASCE 123(4):228–238CrossRef

Blazkova S, Beven K (1997) Flood frequency prediction for data limited catchments in the Czech Republic using a stochastic rainfall model and TOPMODEL. J Hydrol 195(1–4):256–278CrossRef

Bonham-Carter GF (1994) Geographic information systems for geoscientists: modeling with GIS. Elsevier Science Ltd., Pergamon, p 398

Carranza EJM (2009) Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features. Ore Geol Rev 35(3–4):383–400CrossRef

Carrara A, Pike RJ (2008) GIS technology and models for assessinglandslide hazard and risk. Geomorphology 94(3):257–260CrossRef

Chung CJF, Fabbri AG (1999) Probabilistic prediction models for landslide hazard mapping. Photogramm Eng Remote Sens 65:1389–1399

Cunderlik JM, Burn DH (2002) Analysis of the linkage between rain and flood regime and its application to regional flood frequency estimation. J Hydrol 261(1–4):115–131CrossRef

Dolui G, Ghosh S (2013) Flood and its effects: a case study of Ghatal Block, Paschim Medinipur Medinipur, West Bengal Medinipur. Int J Sci Res 2(11):2277–2281

Ebisemiju FS (1986) Environmental constrains of the interdependent of drainage basin morphometeric properties. In: Proceedings of the first international conference on geomorphology, Part 2: 3–19, 1986. Manchester, UK

Fleiss JL (1991) Statistical methods for rates and proportions. Wiley, Chichester

Ghosh S, Carranza EJM, Van Westen CJ, Jetten VG, Bhattacharya DN (2011) Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India). Geomorphology 131:35–56CrossRef

Gomez H, Kavzoglu T (2005) Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela. Eng Geology 7:11–27CrossRef

Government of West Bengal (2014). Annual flood report of irrigation & waterways department for the year 2013. wbiwd.gov.in/pdf/ANNUAL_FLOOD_REPORT_2014.pdf. Accessed March 2014

Haeng HJ, Salas JD, Boes DC (2001) Regional flood frequency analysis based on a Weibull model, part 2 Simulations and applications. J Hydrol 242(3–4):171–182

Ho LTK, Umitsu M, Yamaguchi Y (2010) Flood hazard mapping by satellite images and srtm dem in the VU GIA—THU BON alluvial plain, Central Vietnam, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Volume XXXVIII, Part 8, Kyoto Japan 2010

Islam MM, Sado K (2002) Development priority map for flood countermeasures by remote sensing data with geographic information system. J Hydrol Eng 7(5):346–355CrossRef

Keller ED (2011) Environmental geology, 9th edn. Pearson Prentice Hall, Upper Saddle River, pp 136–168

Kia MB, Pirasteh S, Pradhan B, Mahmud AR, Sulaiman WNA, Moradi A (2011) An artificial neural network model for flood simulation using GIS: Johor River Basin. Environ Earth Sci, Malaysia. doi:10.1007/s12665-011-1504-z

Knebl MR, Yang ZL, Hutchison K, Maidment DR (2005) Regional scale flood modeling using NEXRAD Rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio River Basin Summer 2002 storm event. J Environ Manag 75:325–336CrossRef

Korah PI, Lopez FMJ (2015) Mapping Flood Vulnerable Areas in Quetzaltenango, Guatemala using GIS. J Environ Earth Sci 5(6): 132–143

Laha AK, Chatterjee S, Bera K (2014) Flood hazard cause assessment and their mitigation option using geoinformatics technology. Int J Sci Res Publ 4(8):1–7

Lee MJ, Kang JE, Jeon S (2012) Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS. IEEE Int Geosci Remote Sens Symp (IGARSS) IEEE: 895–898

Marconi M, Gatto B, Magni M, Marincioni F (2015) A rapid method for flood susceptibility mapping in two districts of Phatthalung Province (Thailand): present and projected conditions for 2050. Nat Hazards. doi:10.1007/s11069-015-2082-2

Mason DC, Speck R, Devereux B, Schumann GP, Neal JC, Bates PD (2010) Flood detection in urban areas using TerraSAR-X. IEEE T Geosci Remote 48:882–894CrossRef

Matori AN (2012) Detecting flood susceptible areas using GIS-based analytic hierarchy process. In: International conference on future environment and energy, Singapore

Merwade V, Cook A, Coonrod J (2008) GIS techniques for creating river terrain models for hydrodynamic modelling and flood inundation mapping. Environ Modell Softw 23(28):1300–1311CrossRef

Morelli S, Segoni S, Manzo G, Ermini L, Catani F (2012) Urban planning, flood risk and public policy: the case of the Arno River, Firenze, Italy. Appl Geogr 34:205–218CrossRef

Morelli S, Battistini A, Catani F (2014) Rapid assessment of flood susceptibility in urbanized rivers using digital terrain data: application to the Arno river case study (Firenze, northern Italy). Appl Geogr 54:35–53CrossRef

Nicholls N, Wong KK (1990) Dependence of rainfall precipitation variability on mean rainfall precipitation, latitude and the southern oscillation. J Clim 3:163–170CrossRef

Oh HJ, Pradhan B (2011) Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. Comput Geosci 37(9):1264–1276CrossRef

Oya M (2002) Applied geomorphology for mitigation of natural hazards. Nat Hazards 25:17–25

Pradhan B (2009) Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing. J Spat Hydrol 9:1–18

Pradhan B (2013) A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Comput Geosci 51:350–365CrossRef

Pradhan B, Buchroithner MF (2010) Comparison and validation of landslide susceptibility maps using an artificial neural network model for three test areas in Malaysia. Environ Eng Geosci 16(2):107–126CrossRef

Rahmati O, Pourghasemi HR, Zeinivand H (2015) Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran. Geocarto Int Taylor Francis. doi: http://dx.doi.org/10.1080/10106049.2015.1041559

Ramsay D, Bell R (2008) Coastal hazards and climate change. A guidance manual for local government in New Zealand (PDF), 2nd edition. New Zealand: Ministry for the Environment. ISBN 978-0478331189

Rawat JS, Rawat MS (1994) Accelerated erosion and denudation in the Nana Kosi watershed, central Himalaya, India. Part I: sediment load. Mt Res Dev 14:255–318CrossRef

Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:234–281CrossRef

Saito H, Nakayama D, Matsuyama H (2007) Estimation and evaluation of drainage basins with landslides using decision tree technique and ASTER data. J Jpn Landslide Soc 44:1–14CrossRef

Sanyal J, Lu XX (2004) Application of remote sensing in flood management with special reference to monsoon Asia—a review. Nat Hazards 33:283–301CrossRef

Sengupta S (2001) Rivers and floods (with special reference to floods in West Bengal). Breakthrough 9(2):2–8

Tehrany MS, Pradhan B, Jebur MN (2013) Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J Hydrol 504:69–79CrossRef

Tehrany MS, Lee MJ, Pradhan B, Jebur MN, Lee S (2014) Flood susceptibility mapping using integrated bivariate and multivariate statistical models. Environ Earth Sci. doi:10.1007/s12665-014-3289-3

Tehrany MS, Pradhan B, Jebur MN (2015a) Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method. Stoch Environ Res Risk Assess. doi:10.1007/s00477-015-1021-9

Tehrany MS, Pradhan B, Mansor S, Ahmad N (2015b) Flood susceptibility assessment using GIS-based support vector machine model with different kernel types. Catena 125:91–101. doi:10.1016/j.catena.2014.10.017 CrossRef

Thieken A, Kienzler S, Kreibich H, Kuhlicke C, Kunz M, Muhr B, Müller M, Otto A, Petrow T, Pisi S, Schröter K (2016) Review of the flood risk management system in Germany after the major flood in 2013. Ecol Soc 21(2):51CrossRef

Umar Z, Pradhan B, Ahmad A, Jebur MN, Tehrany MS (2014) Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression modelsin West Sumatera Province, Indonesia. Catena 118:124–135CrossRef

Verstappen HT (1995) Aerospace technology and natural disaster reduction. In: Singh RP, Furrer R (eds) Natural hazards: monitoring and assessment using remote sensing technique. Elsevier Science, New York, pp 3–15

Villiers AB (1986) A multivariate evaluation of a group of drainage basin variables, African case study. In: Proceedings of the first international conference on geomorphology, Part 2, 2133, Manchester, UK

West Bengal, NIDM (2014) National Disaster Risk Reduction Portal. nidm.gov.in/pdf/dp/WestBengal.pdf

West Bengal Disaster Management Department portal http://wbdmd.gov.in/. Accessed on 14th December 2014

Yakoo Y, Kazama S, Sawamoto M, Nishimura H (2001) Regionalization of lumped water balance model parameters based on multiple regression. J Hydrol 246(1–4):209–222CrossRef

Yule GU (1912) On the methods of measuring association between two attributes. J R Stat Soc 75:579–642CrossRef

Zerger A (2002) Examining GIS decision utility for natural hazard risk modelling. Environ Modell Softw 17(3):287–294CrossRef

Zezere JL, Reis E, Garcia R, Oliveira S, Rodrigues ML, Vieira G, Ferreira AB (2004) Integration of spatial and temporal data for the definition of different landslide hazard scenarios in the area north of Lisbon (Portugal). Nat Hazards 4:133–146CrossRef

Zou Q, Zhou J, Zhou C, Song L, Guo J (2013) Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP. Stoch Environ Res Risk Assess 27(2):525–546CrossRef

Title: Geospatial modelling of flood susceptibility pattern in a subtropical area of West Bengal, India
Authors: Harjeet Kaur
Srimanta Gupta
Surya Parkash
Raju Thapa
Rumpa Mandal
Publication date: 01-05-2017
Publisher: Springer Berlin Heidelberg
Published in: Environmental Earth Sciences / Issue 9/2017
Print ISSN: 1866-6280
Electronic ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-017-6667-9

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Other articles of this Issue 9/2017

Geomorphic criteria for distinguishing and locating abandoned channels from upstream part of Mun River, Khorat Plateau, northeastern Thailand

Effect of solubility on dissolution rate of calcite in saline aquifers for temperature range of 50–100 and pressures up to 600 bar: alterations of fractures geometry in carbonate rocks by -acidified brines

Comprehensive evaluation of the potential risk from cyanobacteria blooms in Poyang Lake based on nutrient zoning

Assessment of the quality of groundwater from different parts of southeastern Nigeria for potable use

Tracking natural and anthropic risks from historical maps as a tool for cultural heritage assessment: a case study

Changes in soil organic carbon and its active fractions in different desertification stages of alpine-cold grassland in the eastern Qinghai–Tibet Plateau