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Flood risk modeling for optimal rice planning for delta region of Mahanadi river basin in India

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  • Dibyendu Samantaray
  • Chandranath Chatterjee
  • Rajendra Singh
  • Praveen Gupta
  • Sushma Panigrahy

Abstract

Flood risk management serves to reduce the negative consequences of flood disaster to a certain extent. In agriculture-dominated countries, the extent of damage incurred in crop land by heavy and frequent floods is quite high. The present study aims to develop an optimal rice planning procedure considering the flood risk through hydrodynamic floodplain modeling in flood-prone delta region of Mahanadi river basin in India. As high-resolution topographic data and surveyed river cross sections are unavailable for the study area, MIKE FLOOD model setup is prepared using river cross sections and floodplain elevation model derived from freely available SRTM DEM. In this study, MIKE FLOOD setup is prepared and flood inundation simulation is carried out. Flood inundation extent obtained is compared with RADARSAT-1 image-based inundation extent. Subsequently, flood risk is evaluated for cropping pattern in floodplains using functional relationships between flood characteristics and the expected damage of different rice varieties. Based on the flood risk, an optimal rice planning model is developed for maximizing the net benefits in the floodplain. The average annual expected net benefit of optimal rice allocation model for the study area is to the tune of INR 601 million compared to INR 432 million for normal rice variety cultivation throughout the study area. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Dibyendu Samantaray & Chandranath Chatterjee & Rajendra Singh & Praveen Gupta & Sushma Panigrahy, 2015. "Flood risk modeling for optimal rice planning for delta region of Mahanadi river basin in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 347-372, March.
    • Handle: RePEc:spr:nathaz:v:76:y:2015:i:1:p:347-372
    DOI: 10.1007/s11069-014-1493-9
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    1. Nguyen Dang & Mukand Babel & Huynh Luong, 2011. "Evaluation of food risk parameters in the Day River Flood Diversion Area, Red River Delta, Vietnam," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(1), pages 169-194, January.
    2. Joy Sanyal & X. Lu, 2004. "Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(2), pages 283-301, October.
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    4. Pankaj Mani & Chandranath Chatterjee & Rakesh Kumar, 2014. "Flood hazard assessment with multiparameter approach derived from coupled 1D and 2D hydrodynamic flow model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1553-1574, January.
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    2. Huili Chen & Zhongyao Liang & Yong Liu & Qingsong Jiang & Shuguang Xie, 2018. "Effects of drought and flood on crop production in China across 1949–2015: spatial heterogeneity analysis with Bayesian hierarchical modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 525-541, May.
    3. Neslihan Beden & Asli Ulke Keskin, 2021. "Flood map production and evaluation of flood risks in situations of insufficient flow data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 2381-2408, February.
    4. Md Shahinoor Rahman & Liping Di, 2020. "A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment," Agriculture, MDPI, vol. 10(4), pages 1-30, April.
    5. Prachi Pratyasha Jena & Banamali Panigrahi & Chandranath Chatterjee, 2016. "Assessment of Cartosat-1 DEM for Modeling Floods in Data Scarce Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1293-1309, February.
    6. Yan Chen & Hao Hou & Yao Li & Luoyang Wang & Jinjin Fan & Ben Wang & Tangao Hu, 2022. "Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China," IJERPH, MDPI, vol. 19(12), pages 1-18, June.

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