Iran-Water Resources Research

Iran-Water Resources Research

Evaluating Water Resources Supply and Demand Using WEAP-MABIA (Case Study: Gadar River Basin)

Document Type : Original Article

Authors
Parisa Yousefi 1
Behzad Hessari 2
Adriana Bruggeman 3
Mahdi Zarghami 4
1 Ph.D. Student in Water Resources Engineering, Water Engineering group, Urmia University, Urmia, Iran.
2 Director of Environment Department of Lake Urmia Research Institute and Associate Professor of Hydrology, Water Engineering Group, Urmia University, Urmia, Iran.
3 Associate Professor of Hydrology and Water Management, Energy, Environment and Water Research Centre (EEWRC), Cyprus Institute, Aglantzia, Cyprus.
4 Professor of Water Governance, Faculty of Governance, University of Tehran, Tehran, Iran.
10.22034/iwrr.2023.176840
Abstract
Currently, numerous sub-basins located in the Urmia Lake Basin (ULB) are experiencing water shortages. Gadar-Chai River basin is one of the most important basins in ULB in which proper water allocation and management are paramount of importance. A decision support system based on a water evaluation and planning system (WEAP) could be highly beneficial in water allocation plans at the basin scale. In this research, the WEAP-MABIA model has been used to analyze and simulate water supply and demand in the three major catchments of Gadar-Chai River basin. The year 2009 was chosen as the base year of modeling, all nodes of resources and consumptions were created, and the rainfall-runoff was simulated. Then, the Gauss-Levenberg-Marquardt optimization algorithm, embedded in the PEST tool, is implemented for calibration. The efficiency of the model is verified by the Nash-Sutcliffe coefficient for the calibration and validation period, which is ranged from 0.68-0.87. Ultimately, several management strategies such as a slight increase in irrigation efficiency, fallow implementation, and cultivation of low-demanded were employed to investigate the sustainability of water resources in the Gadar-Chai River basin. The results revealed that simultaneous implementation of %10 fallow along with 5% increase in irrigation efficiency could enhance the water supply reliability compare to status que by %12, %19, and %11 respectively in Oshnaviyeh, Naqadeh and Hasanlu basins. Hence, this scenario, with decreasing the unmet demand, would play a major role to ameliorate the water shortages in the study area.
Keywords
WEAP
MABIA
Water Allocation
Gadar-Chai River Basin

Subjects

Abera Abdi D, & Ayenew T (2021) Evaluation of the WEAP model in simulating subbasin hydrology in the Central Rift Valley basin, Ethiopia. Ecological Processes 10(1):1-14
Agarwal S, Patil J P, Goyal V C, & Singh A (2019) Assessment of water supply–demand using water evaluation and planning (WEAP) model for Ur River watershed, Madhya Pradesh, India. Journal of the Institution of Engineers (India): Series A 100:21-32
Ahmadaali J, Barani G A, Qaderi K, & Hessari B (2018) Analysis of the effects of water management strategies and climate change on the environmental and agricultural sustainability of Urmia Lake Basin, Iran. Water 10(2):160
Al Sabeh H, Abdallah C, Merheb M, & Zeitoun M (2022) Scenario simulation and analysis in the transboundary Yarmouk River basin using a WEAP model. International Journal of River Basin Management 1-22
Allani M, Jabloun M, Sahli A, Hennings V, Massmann J, & Müller H (2012) Enhancing on farm and regional irrigation management using MABIA-Region tool. 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, IEEE 18-21
Allen R G, Pereira L S, Raes D, & Smith M (1998) Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome 300(9):D05109
Castelletti A, & Soncini-Sessa R (Eds.) (2006) Topics on system analysis and integrated water resources management. Elsevier
Demertzi K A, Papamichail D M, Georgiou P E, Karamouzis D N, & Aschonitis V G (2014) Assessment of rural and highly seasonal tourist activity plus drought effects on reservoir operation in a semi-arid region of Greece using the WEAP model. Water International 39(1):23-34
Doherty J (2004) PEST model-independent parameter estimation user manual. Watermark Numerical Computing, Brisbane, Australia, 3338, 3349
Doorenbos J & Kassam A H (1979) Yield response to water. Irrigation and Drainage Paper 33:257
Ghorbanpour A K, Kisekka I, Afshar A, Hessels T, Taraghi M, Hessari B, & Duan Z (2022) Crop water productivity mapping and benchmarking using remote sensing and Google Earth Engine cloud computing. Remote Sensing 14(19):4934
Hamlat A, Errih M, & Guidoum A (2013) Simulation of water resources management scenarios in western Algeria watersheds using WEAP model. Arabian Journal of Geosciences 6(7):2225–2236
Hoff H, Bonzi C, Joyce B, & Tielbörger K (2011) A water resources planning tool for the Jordan River Basin. Water 3(3):718-736
Layani G, & Bakhshoodeh M (2022) Effects of climate change on the agricultural sector in the Kheirabad River Basin: Application of WEAP Software. Agricultural Economics Research 13(4):208-223
Ministry of Energy (2013) Update of the country's comprehensive water plan in the basins of Aras, Urmia, Talash -Anzali wetland, Sefidroud Bozorg, Sefidroud -Haraz, Haraz -Qarasu, Gorganrud and Atrak. 156 pages (In Persian)
Mirzaei A, & Zibaei M (2021) Water conflict management between agriculture and wetland under climate change: Application of economic-hydrological-behavioral modelling. Water Resources Management 35:1-21
Moriasi D N, Arnold J G, Van Liew M W, Bingner R L, Harmel R D, & Veith T L (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE 50(3):885-900
Myat K & Aye N (2017) Proposal of water allocation plans for Mandalay area in Myanmar. American Scientific Research Journal for Engineering, Technology, and Sciences 31(1):24-39
Nivesh S, Patil J P, Goyal V C, Saran B, Singh A K, Raizada A, & Kuriqi A (2023) Assessment of future water demand and supply using WEAP model in Dhasan River Basin, Madhya Pradesh, India. Environmental Science and Pollution Research 30(10):27289-27302
Rochdane S, Reichert B, Messouli M, Babqiqi A, & Khebiza M Y (2012) Climate change impacts on water supply and demand in Rheraya Watershed (Morocco), with potential adaptation strategies. Water 4(1):28-44
Sadeghi B, Borazjani M A, Mardani M, Ziaee S, & Mohammadi H (2023) Systemic management of water resources with environmental and climate change considerations. Water Resources Management 37(6-7):2543-2574
Samaras A G, & Koutitas C G (2014) The impact of watershed management on coastal morphology: A case study using an integrated approach and numerical modeling. Geomorphology 211:52-63
Simons G, Koster R, & Droogers P (2020) Hihydrosoil v2. 0-high resolution soil maps of global hydraulic properties. Wageningen, The Netherlands
Yates D, Sieber J, Purkey D, & Huber-Lee A (2005) WEAP21-A demand-, priority-, and preference-driven water planning model: part 1: model characteristics. Water International 30(4):487-500
Zhang Z, He Y, Chen X, & Tan Q (2023) Improvement of WEAP model considering regional and industrial water distribution priority and its application. Journal of Hydrology: Regional Studies 47:101414
Zohrabi N, Nassaj B N, & Shahbazi A (2017) Effects of surface irrigation efficiency improvement on water resources system indices. In 23rd International Congress on Irrigation and Drainage, pp 1-16

  • Receive Date 21 June 2023
  • Revise Date 01 August 2023
  • Accept Date 06 August 2023