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Modeling climate-smart decision support system (CSDSS) for analyzing water demand of a large-scale rice irrigation scheme

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  • Rowshon, M.K.
  • Dlamini, N.S.
  • Mojid, M.A.
  • Adib, M.N.M.
  • Amin, M.S.M.
  • Lai, S.H.

Abstract

Climate projection at local scale is one of the crucial challenges that affects the development of water management-related mitigation plans. Moreover, the currently available climate models do not directly simulate some of the hydro-climatic parameters (e.g., effective rainfall, reference evapotranspiration, irrigation requirements), which are of interest in irrigation sector. Modeling crop-water demands under changing climate involves several step-by-step approaches that are tedious and time-consuming for many water users. This study developed a water management tool, hereafter called Climate-Smart Decision-Support System (CSDSS), for modeling water demand of rice irrigation schemes under climate change impacts. The CSDSS is a user-friendly interactive program consisting of three main modules integrated in MATLAB and a graphical user interface development environment (GUIDE). The model runs with ten Global Climate Models (GCMs) and three emission scenarios (RCP 4.5, 6.0 and 8.5). It can generate several hydro-climatic parameters based on a daily water balance model, with input data from GCMs projections, crop, soil and field conditions. The model allows water managers to make fast decision for paddy water management. The generated outputs can be obtained through individual GCMs as well as through multi-models (ensemble) projection and can be converted into excel format for further analysis. The model was applied to evaluate the impacts of climate change on irrigation water demand and other key hydro-climatic parameters in Tanjung Karang Rice Irrigation Scheme in Malaysia for the period 2010–2099 with reference to the baseline period of 1976–2005. The results show that irrigation water demand will increase during the off-season (January–June) but decrease during the main season (July–December) due to significant contribution from effective rainfall in the latter season. The CSDSS tool can be used for managing water resources under changing climate and would, therefore, be helpful in promoting appropriate adaptation and mitigation strategies that can lead to more sustainable water use at farm level. Some future improvements of the tool, due to methodological limitations of the study, will however improve its performance.

Suggested Citation

  • Rowshon, M.K. & Dlamini, N.S. & Mojid, M.A. & Adib, M.N.M. & Amin, M.S.M. & Lai, S.H., 2019. "Modeling climate-smart decision support system (CSDSS) for analyzing water demand of a large-scale rice irrigation scheme," Agricultural Water Management, Elsevier, vol. 216(C), pages 138-152.
    • Handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:138-152
    DOI: 10.1016/j.agwat.2019.01.002
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    References listed on IDEAS

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    1. Jang, Min-Won & Choi, Jin-Yong & Lee, Jeong-Jae, 2007. "A spatial reasoning approach to estimating paddy rice water demand in Hwanghaenam-do, North Korea," Agricultural Water Management, Elsevier, vol. 89(3), pages 185-198, May.
    2. Schlenker, Wolfram & Hanemann, W Michael & Fisher, Anthony C, 2007. "Water Availability, Degree Days, and the Potential Impact of Climate Change on Irrigated Agriculture in California," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8q8309qn, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Lee, Teang Shui & Haque, M. Aminul & Najim, M.M.M., 2005. "Scheduling the cropping calendar in wet-seeded rice schemes in Malaysia," Agricultural Water Management, Elsevier, vol. 71(1), pages 71-84, January.
    4. J. M. Kirby & M. Mainuddin & F. Mpelasoka & M. D. Ahmad & W. Palash & M.E. Quadir & S. M. Shah-Newaz & M. M. Hossain, 2016. "The impact of climate change on regional water balances in Bangladesh," Climatic Change, Springer, vol. 135(3), pages 481-491, April.
    5. De Silva, C.S. & Weatherhead, E.K. & Knox, J.W. & Rodriguez-Diaz, J.A., 2007. "Predicting the impacts of climate change--A case study of paddy irrigation water requirements in Sri Lanka," Agricultural Water Management, Elsevier, vol. 93(1-2), pages 19-29, October.
    6. Knox, J.W. & Rodríguez Díaz, J.A. & Nixon, D.J. & Mkhwanazi, M., 2010. "A preliminary assessment of climate change impacts on sugarcane in Swaziland," Agricultural Systems, Elsevier, vol. 103(2), pages 63-72, February.
    7. Kirby, J.M. & Ahmad, M.D. & Mainuddin, M. & Palash, W. & Quadir, M.E. & Shah-Newaz, S.M. & Hossain, M.M., 2015. "The impact of irrigation development on regional groundwater resources in Bangladesh," Agricultural Water Management, Elsevier, vol. 159(C), pages 264-276.
    8. Acharjee, Tapos Kumar & Ludwig, Fulco & van Halsema, Gerardo & Hellegers, Petra & Supit, Iwan, 2017. "Future changes in water requirements of Boro rice in the face of climate change in North-West Bangladesh," Agricultural Water Management, Elsevier, vol. 194(C), pages 172-183.
    9. Ye, Qing & Yang, Xiaoguang & Dai, Shuwei & Chen, Guangsheng & Li, Yong & Zhang, Caixia, 2015. "Effects of climate change on suitable rice cropping areas, cropping systems and crop water requirements in southern China," Agricultural Water Management, Elsevier, vol. 159(C), pages 35-44.
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    1. King, Darran A. & Meyer, Wayne S. & Connor, Jeffery D., 2019. "Interactive land use strategic assessment: An assessment tool for irrigation profitability under climate uncertainty," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    2. Houma, Abdusslam A. & Kamal, Md Rowshon & Mojid, Md Abdul & Abdullah, Ahmad Fikri B. & Wayayok, A., 2021. "Climate change impacts on rice yield of a large-scale irrigation scheme in Malaysia," Agricultural Water Management, Elsevier, vol. 252(C).

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