جستجوی مقالات مرتبط با کلیدواژه « زرینه رود » در نشریات گروه « مهندسی آب »

Zarrineh-rood River is one of the most important and longest rivers within Orumiye water basin. According to the major drinking use from the river and since the river is receiving different pollutants (natural and artificial) throughout the year, so the water quality control is of great importance. In this research a newly-developed water quality index, the IRAN Water Quality Index for Surface Water Resources-Conventional Parameters Index (IRWQISC index) is used which deals with 11 parameters and presents the result in seven ranges (very bad, bad, moderately bad, medium, moderately good, good and very good). For this study, data from 16 stations in four seasons of the year is used. Results show that no station in none seasons is in range of very good and very bad, and only station 16 in spring is bad. Other results are reported to be in ranges of moderately bad, medium, moderately good and good. As approved advantages to other indices, this index is highlighting the effects of EC and is employing weighted parameters related to domestic wastewater.

Agricultural sector is the largest water consumer, and uncertainty is an inevitable aspect of water management in this sector. In this study, fully fuzzy linear programming using two different solutions were applied for multi-objective optimizing of cropping pattern and net benefit in the uncertain conditions for the Zarrinehroud Basin. The uncertainties within the optimized cropping pattern were considered using a fuzzy method. Moreover, in order to consider the uncertainties in the amount of available water limitation, three different hydrological conditions were applied to determine maximum, average and minimum of fuzzy bond. The results of optimization by the fully fuzzy linear programming model showed an increase of 2.53% in net benefit comparing to the crisp optimization and an increase of 36.34 percent comparing to the present cropping pattern through decreasing low income crops and increasing high income crops. It is also shown that applying fully fuzzy linear programming instead of crisp linear programming leads to a greater saving in water consumption with the amount of 88.22%. Considering 10% and 20% uncertainty bands for optimization parameters causes more water saving and net benefits from optimal cropping pattern. Therefore, optimization of cropping pattern through considering uncertainties based on fuzzy method leads to a more optimal planning for agricultural water.

Population growth causes an increase in different sectors water use. This increase requires new strategies for optimal water resources management. In this research, a three objective model was developed for maximization of economic benefit, maximization of reliable water supply and minimization of water withdraw from aquifers. In proposed model, aquifer and reservoir were considered as elements of water resources. Based on allocated water, water requirements, maximum yield of each product, production function were defined and economic benefits of regions in study area were determined. Using NSGA-II algorithm, Pareto trade-off curves for objective with various scenarios of cropping, economic benefit functions in Zarinehrood basin were derived. Since the points on trade-off curve cannot fully satisfy three objectives, optimal point was selected using Borda aggregation method and integration of five multicriteria decision models’ results. Result of comparison between current and optimal allocation demonstrates that we gained 42.5% water save by applying proposed model. In addition, comparison of current and optimal economic benefit showed that the benefit increased from 1,137,730 billion IRR to 1,285,971 billion IRR (13% increase). The result of this research can be used in other basins for decreasing in agricultural water use from water resources and increasing farmers’ income by optimal cropping pattern.