Abstract
In recent years, flood control has been replaced by flood management concept in terms of living with flood, making benefit of it, and minimizing its losses. Succeeding in flood management in any region depends on the evaluation of different types of flood losses. Because of providing water resources and suitable arable lands, especially in arid and semiarid countries, floodplains are very important for agricultural activities. These lands are naturally vulnerable to flood; henceforth, determining the degree of protection and acceptable risk in flood damage-reduction projects without agricultural flood loss evaluation could be unrealistic. In this research, effective hydraulic parameters for flood loss estimation were determined and a set of laboratory tests were performed to evaluate the loss of rice, as the main crop in the study region, under different hydraulic conditions. In this regard, flow parameters like depth, velocity, multiplication of depth and velocity, shear stress, the Froude number, and the Reynolds number were employed for different rice growth stages including after transplanting, shooting, clustering, and harvesting. Analyzing the results showed that the Reynolds number, as a dimensionless parameter, is the best one for simulation of flood physical factor-loss function. Statistical analysis revealed that the logarithmic function is the best regression equation fitted to the Reynolds number-loss function. The amount of loss depends on growth stage; therefore, the time of flood occurrence is of vital importance for agricultural loss estimation. In this research, it was realized that the amount of loss is increased in the following order: after transplanting, shooting, harvesting, and clustering.
Similar content being viewed by others
Notes
Iranian currency unit.
References
Berning C, Viljoen MF, Plessis LD (2000) Loss functions for sugar-cane: depth and duration of inundation as determinants of extent of flood damage. Water SA 26(4):527–530
Berning C, Viljoen MF, Plessis LD (2001) Loss function for structural flood mitigation measures. Water SA 27(1):35–38
Burby RJ (1998) Cooperating with nature: confronting natural hazards with land-use planning for sustainable communities. Joseph Henry Press, Washington, p 356
Chandra S (2003) Integrated flood management case study India: flood management—Damodar River basin, a report prepared by World Meteorological Organization and Global Water Partnership Associated Programme on Flood Management, p 11
Chereni A (2007) The problem of institutional fit in integrated water resources management: a case of Zimbabwe’s Mazowe catchment. Phys Chem Earth 32:1246–1256
Dutta D (2003) A mathematical model for flood loss estimation. J Hydrol 277:24–49
FEMA (2008) HAZUS: multi-hazard loss estimation model methodology-flood model technical manual. National Institute of Building Sciences, Washington, DC
Funke N, Oelofse SHH, Hattingh J, Ashton PJ, Turton AR (2007) IWRM in developing countries: lessons from the Mhlatuze catchment in South Africa. Phys Chem Earth 32:1237–1245
Galloway G (2004) Integrated flood management case study USA: flood management—Mississippi river. World Meteorological Organization and Global Water Partnership Associated Programme on Flood Management, p 12
Grigg NS, Heiweg OJ (1975) State-of-the-art of estimating flood damage in urban areas. Water Resour Bull 11(2):379–390
Hambira WL (2007) Natural resources accounting: a tool for water resources management in Botswana. Phys Chem Earth 32:1310–1314
Haynes H (2007) Integrating socio-economic analysis into decision-support methodology for flood risk management at the development scale (Scotland). Water Environ J 22:117–124
HEC-FDA (2008) Flood damage reduction analysis. User Manual Version 1.2.4, Us Army Corps of for Water Resources Hydrologic Engineering Center
Huang X, Tan H, Zhou J, Yang T, Benjamin A, Wen SW, Li S, Liu A, Li X, Fen S, Li X (2008) Flood hazard in Hunan province of China: an economic loss analysis. Nat Hazards 47:65–73
Jonkman SN (2007) Loss of life estimation in flood risk assessment. PhD thesis Delft University, p 360
Jonkman SN, Maaskant B, Boyd E, Levitan M (2008a) Loss of life caused by the flooding of New Orleans after hurricane Katrina: a preliminary analysis of the relationship between flood characteristics and mortality. 4th International Symposium on Flood Defence: Managing Flood Risk, Reliability and Vulnerability Toronto, Ontario, Canada
Jonkman SN, Vrijling JK, Vrouwenvelder ACWM (2008b) Methods for the estimation of loss of life due to floods; a literature review and a proposal for a new method. Nat Hazard 46:353–389
Kang JL, Su M, Chang L (2005) Loss function and framework for regional flood damage estimation in residential area. J Mar Sci Technol 13(3):193–199
KGS Group (2000) Red river basin-stage-damage curves update and preparation of flood damage maps. Report prepared for International Joint commission, Winnipeg, Manitoba, Canada
Kluge T, Liehr S, Lux A, Moser P, Niemann S, Umlauf N, Urban W (2008) IWRM concept for the Cuvelai Basin in northern Namibia. Phys Chem Earth 33:48–55
Kouwen N (1989) Field estimation of the biomechanical properties of grass Estimation sur le terrain des caracteristiques mecaniques de l herbe. J Hydraul Res 26(5):559–567
Malekmohammadi B, Zahraei B, Karachian R, Ziaei A (2007) Combining a dam flood control optimization model with flood loss zoning model in the downstream river. 6th hydraulic conference of Iran, Shahre Kord University, p 11
Mesbahi M, Atari J, Sabzivand R (2007) Risk analysis and flood management with HEC-RAS and GIS and economical loss evaluation. 6th hydraulic conference of Iran, Shahre Kord University, p 10
Messner F, Penning-Rowsell EC, Green CH, Moyer V (2006) Guidelines for socio-economic flood damage evaluation, sixth framework programme for European Research and Technological Development, Integrated Project FLOOD site (2002–2006)
Mileti DS (1999) Disasters by design: a reassessment of natural hazards in the United States. Joseph Henry Press, Washington, p 351
Mulwafu WO, Msosa HK (2005) IWRM and poverty reduction in Malawi: a socio-economic analysis. Phys Chem Earth 30:961–967
NAP (1999) Impacts of natural disasters: a framework for loss estimation. National Academy Press, Washington, p 68
Smith DI, Greenaway M (1988) The computer assessment of urban flood damage: ANUFLOOD. Technical Report, Desktop Planning, Melbourne, Hargreen, Australia
The ministry of Energy (2006) The manual of flood loss evaluation. Draft paper No. 296-a
WMO (2007) Economic aspects of integrated flood management. World Meteorological Organization and Global Water Partnership Associated Programme on Flood Management, No 1010, p 53
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ganji, Z., Shokoohi, A. & Samani, J.M.V. Developing an agricultural flood loss estimation function (case study: rice). Nat Hazards 64, 405–419 (2012). https://doi.org/10.1007/s11069-012-0250-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11069-012-0250-1