IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v76y2015i1p347-372.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-014-1493-9
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-014-1493-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    3. 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.
    4. Niranjan Pramanik & Rabindra Panda & Dhrubajyoti Sen, 2010. "One Dimensional Hydrodynamic Modeling of River Flow Using DEM Extracted River Cross-sections," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(5), pages 835-852, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. G. Papaioannou & A. Loukas & L. Vasiliades & G. T. Aronica, 2016. "Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach," 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. 83(1), pages 117-132, October.
    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. Prachi Pratyasha Jena & Chandranath Chatterjee & Rakesh Kumar & Amina Khatun, 2024. "Flood Hazard Assessment Using Hydrodynamic Modeling Under Severity-Frequency Based Changing Flood Regime," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(12), pages 4589-4614, September.
    7. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Gaurav Talukdar & Janaki Ballav Swain & Kanhu Charan Patra, 2021. "Flood inundation mapping and hazard assessment of Baitarani River basin using hydrologic and hydraulic 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. 109(1), pages 389-403, October.
    3. Manh Xuan Trinh & Frank Molkenthin, 2021. "Flood hazard mapping for data-scarce and ungauged coastal river basins using advanced hydrodynamic models, high temporal-spatial resolution remote sensing precipitation data, and satellite imageries," 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. 109(1), pages 441-469, October.
    4. P. V. Timbadiya & K. M. Krishnamraju, 2023. "A 2D hydrodynamic model for river flood prediction in a coastal floodplain," 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. 115(2), pages 1143-1165, January.
    5. Mohammad Zounemat-Kermani, 2016. "Investigating Chaos and Nonlinear Forecasting in Short Term and Mid-term River Discharge," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1851-1865, March.
    6. Ebrahim Ahmadisharaf & Alfred J. Kalyanapu & Eun-Sung Chung, 2017. "Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed," Sustainability, MDPI, vol. 9(10), pages 1-15, September.
    7. Mohamed Kefi & Binaya Kumar Mishra & Yoshifumi Masago & Kensuke Fukushi, 2020. "Analysis of flood damage and influencing factors in urban catchments: case studies in Manila, Philippines, and Jakarta, Indonesia," 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. 104(3), pages 2461-2487, December.
    8. Nizamud Din Essa & Muneeb Aamir, 2019. "Analysis of Flood Damage Assessment through WorldView-2, Quick Bird and Multispectral Satellite Imagery in Southern Punjab, Pakistan," International Journal of Innovations in Science & Technology, 50sea, vol. 1(3), pages 120-139, July.
    9. Akiko Masuya & Ashraf Dewan & Robert Corner, 2015. "Population evacuation: evaluating spatial distribution of flood shelters and vulnerable residential units in Dhaka with geographic information systems," 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. 78(3), pages 1859-1882, September.
    10. Francesco Serinaldi & Florian Loecker & Chris G. Kilsby & Hubert Bast, 2018. "Flood propagation and duration in large river basins: a data-driven analysis for reinsurance purposes," 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. 94(1), pages 71-92, October.
    11. Anoop Kumar Mishra & Mohammad Suhail Meer & Vanganuru Nagaraju, 2019. "Satellite-based monitoring of recent heavy flooding over north-eastern states of India in July 2019," 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. 97(3), pages 1407-1412, July.
    12. Álvarez, Xana & Gómez-Rúa, María & Vidal-Puga, Juan, 2019. "Risk prevention of land flood: A cooperative game theory approach," MPRA Paper 91515, University Library of Munich, Germany.
    13. Junfei Chen & Juan Ji & Huimin Wang & Menghua Deng & Cong Yu, 2020. "Risk Assessment of Urban Rainstorm Disaster Based on Multi-Layer Weighted Principal Component Analysis: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
    14. Shang-Shu Shih & Sheng-Chi Yang & Huei-Tau Ouyang, 2014. "Anthropogenic effects and climate change threats on the flood diversion of Erchung Floodway in Tanshui River, northern Taiwan," 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. 73(3), pages 1733-1747, September.
    15. Huaibin Wei & Liyuan Zhang & Jing Liu, 2022. "Hydrodynamic Modelling and Flood Risk Analysis of Urban Catchments under Multiple Scenarios: A Case Study of Dongfeng Canal District, Zhengzhou," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    16. Qianqian Zhou & Jiongheng Su & Guoyong Leng & Jian Peng, 2019. "The Role of Hazard and Vulnerability in Modulating Economic Damages of Inland Floods in the United States Using a Survey-Based Dataset," Sustainability, MDPI, vol. 11(13), pages 1-12, July.
    17. Kashfia Nowrin Choudhury & Helmut Yabar & Takeshi Mizunoya, 2022. "GIS and remote sensing-based spatiotemporal analysis of cumulative flood risk over Bangladesh’s national highways," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 335-364, February.
    18. Rei Itsukushima & Kazuaki Ohtsuki & Tatsuro Sato, 2019. "Influence of Microtopography and Alluvial Lowland Characteristics on Location and Development of Residential Areas in the Kuji River Basin of Japan," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    19. Mahnaz Gumrukcuoglu & Douglas Goodin & Charles Martin, 2010. "Landuse change in upper Kansas river floodplain: following the 1993 flood," 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. 55(2), pages 467-479, November.
    20. Pallavi Tomar & Suraj Kumar Singh & Shruti Kanga & Gowhar Meraj & Nikola Kranjčić & Bojan Đurin & Amitanshu Pattanaik, 2021. "GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India," Sustainability, MDPI, vol. 13(22), pages 1-20, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:76:y:2015:i:1:p:347-372. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.