University of Tehran Press Journal of Ecohydrology 2423-6098 3 2 2016 06 21 Hydrologic Analysis and Optimal Release of the Qeshlaq Dam Reservoir, Based on Drought analysis of River Basin Hydrologic Analysis and Optimal Release of the Qeshlaq Dam Reservoir, Based on Drought analysis of River Basin 243 254 59665 10.22059/ije.2016.59665 FA Mehri Kaki Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Iran Ahmad Fakheri Fard Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Iran Motalleb Byzedi Department of Water Engineering, Sanandaj Branch, Islamic Azad University, Iran Sina Shakiba Department of Environment, Faculty of Geology, University of Urmia, Iran Journal Article 2016 09 16 Dam reservoirs supply potable, agricultural, and industrial water in most cities of Iran. Due to lack of proper operational rules or unbalanced demand versus water resources volume, (along operating time) correction in operational rules is required to fulfill current situations. Hence the goal of this study is to optimize the Qeshlaq Dam reservoir operation rules to maximize the water release for agricultural demand with considering to maintain reservoir capacity to allocate 100% of potable water demand. For this purpose a linear optimization program was developed in MATLAB. Herbst method was used to assess drought intensities and periods. Based on Herbst method, a critical period of 51 month (October 1987 – Septamber2012) was determined and an optimal release of 1.334 MCM was estimated for agricultural use. Based on downstream potential agricultural demand, this released water is supplied only 60% of the agricultural demands. So there will be shortage in supplying agricultural demands for months July (2.2MCM), August (2.47MCM) and September (2.29MCM). The correlation coefficient of R2 = 0.84 was obtained between modelled and actual monthly reservoir storage. Results showed that the probability of the maximum long term storage of 162 MCM (equal to 0.75 of reservoir capacity) is 50%. Also statistical distribution analysis revealed that spillway discharge data are agree with Gumbel distribution more accurately than other distributions. In general, the results of the optimization showed that linear programming can be used for optimal water resources allocation for agriculture and industry use. Dam reservoirs supply potable, agricultural, and industrial water in most cities of Iran. Due to lack of proper operational rules or unbalanced demand versus water resources volume, (along operating time) correction in operational rules is required to fulfill current situations. Hence the goal of this study is to optimize the Qeshlaq Dam reservoir operation rules to maximize the water release for agricultural demand with considering to maintain reservoir capacity to allocate 100% of potable water demand. For this purpose a linear optimization program was developed in MATLAB. Herbst method was used to assess drought intensities and periods. Based on Herbst method, a critical period of 51 month (October 1987 – Septamber2012) was determined and an optimal release of 1.334 MCM was estimated for agricultural use. Based on downstream potential agricultural demand, this released water is supplied only 60% of the agricultural demands. So there will be shortage in supplying agricultural demands for months July (2.2MCM), August (2.47MCM) and September (2.29MCM). The correlation coefficient of R2 = 0.84 was obtained between modelled and actual monthly reservoir storage. Results showed that the probability of the maximum long term storage of 162 MCM (equal to 0.75 of reservoir capacity) is 50%. Also statistical distribution analysis revealed that spillway discharge data are agree with Gumbel distribution more accurately than other distributions. In general, the results of the optimization showed that linear programming can be used for optimal water resources allocation for agriculture and industry use.

https://ije.ut.ac.ir/article_59665_984287e9f05a5a7e399cf0019e81fe9f.pdf