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Showing 4 results for Malekinezhad

Mohammad Reza Fazelpouraghdaei, Hossein Malekinezhad, Mohammad Reza Ekhtesasi, Jalal Barkhordari,
Volume 9, Issue 17 (9-2018)
Abstract

Flood control, artificial recharge of aquifers and attempt to optimize the utilization of the natural resources are some of the most important measures in the arid and semi arid zones that occurs by flood spreading projects. At the current study the impact of flood spreading on downstream qanat discharge at Myankooh area of Mehriz (Yazd province) was investigated. To gain this goal after collecting the discharge Statistics from 1997 to 2013, Standard Discharge Index (SDI) was calculated. The amount of flood water entering the aquifer areas and precipitation figures were used to calculate the Standardized Precipitation Index (SPI). The correlation between the SDI and SPI and flood volume was extracted. Also, the operators’ comments were collected by using the designed questionnaire. According to the results, the SDI increased at the same time as wet period and flood spreading time. But the share of each one on this invreasing wasn’t clear. The correlation with SDI and SPI in different qanats was significant (1%) with 12, 6 and 3 months’ delay. Close to 28% operators assessed the project’ impact high, 43% very low and others moderate.
 
 


Esmaeil Soheili, Associate Professor Hossein Malekinezhad, . Professor Mohhamad Reza Ekhtesasi,
Volume 9, Issue 18 (1-2019)
Abstract

Doroodzan Dam basin is one of the strategic agricultural areas in Fars province. Changes in time series of climatic parameters, especially temperature and precipitation parameters, can have a significant impact on the growth cycle of agricultural products, the status of water resources and the economy of the populations in the area. In the present study, rainfall and temperature trends were investigated in 13 rainfall stations and 4 thermometric stations. Initially, the change point pettitt test was used to assess the homogeneity and change point in the time series. Then, trends in the rainfall, average monthly and annual temperature time series were investigated using Mann-Kendall (MK), modified Mann-Kendall (MMK) and the sen’s slope methods. The results of the pettitt test showed that there is no significant change point in the monthly and annual rainfall and monthly temperature time series, only in the annual temperature of two stations, there is a significant change point at the 95% confidence level. The results of the trend analysis with all three abovementioned methods showed that the monthly precipitation in all stations and annual precipitation in most stations have a decreasing trend and the average monthly and annual temperature have an increasing trend; however, in none of the time series, the trend was significant in the confidence level of 95%. Based on the results, in the whole area, the mean annual temperature increased by 3.7 percent and precipitation decreased by 9.1 percent compared to the mean.
 
Ali Talebi, Mehrnaz Shahrivar, Hossein Malekinezhad, Samaneh Poormohamadi, Zeinolabedin Hosseini,
Volume 10, Issue 20 (12-2019)
Abstract

In a natural ecosystem, land exploitation and change in environmental conditions, particularly changes in vegetation and land use effects on hydrological responses such as floods and erosion and sediment and ultimately causing heavy social-economic losses. Then, prediction of effect of land use changes on flood situation in the future decades and sedimentation of watersheds will be the way to deal with this phenomenon. To simulate the hydrological behavior in future decades, HEC-HMS model was calibrated and validated for the previous period, with changes in curve number and percentage of impermeability (as a result of land use changes). Then, predicted hydrograph for coming decades (2020, 2025 and 2030) and last (2004) were compared. The results show that the peak discharge and flood volume in the 2020, 2025 and 2030, will be increased in compared to the decade of 2004 equal to (52.8 and 20/41), (70.29 and 32.51) and (87.78 and 38.05), respectively will increase. Mean peak in the 2020, 2025 and 2030 will be increase (due to land use change), 16, 25 and 38.35 percent, respectively. In the next step, sediment changes in the future was investigated using the sediment rating curve in decades of 2020, 2025 and 2030. The results showed that the amount of sediment for 2020 will be increase 12.01 % compare to 2004, for 2025 compare to 2020, 15.14 % and for 2030 compare to 2025, 36.64 %. According to the results, land use change in future leads to increase in discharge and sediment, which could affect the hydrological and morphological conditions of watershed. 


Sanaz Pourfallah, Mohammad Reza Ekhtesasi, Hosein Malekinezhad, Fatemeh Barzegari,
Volume 10, Issue 20 (12-2019)
Abstract

     The intensive use of groundwater resources has often affected ground water levels in many parts of the world. Therefore, the strategic management of water resources for better planning of water resources seems necessary. In this study SWOT strategy was applied for strategic management of water resources in Abarkouh plain. In order to launch this strategy, we first extracted the weaknesses, strengths, opportunities and threats using group decision making, and then the relative importance and overall value of each factor assessment were determined. The process involved identifying weaknesses and strengths of the study area and opportunities and threats present in the water resources. These parameters were extracted using collaborative decision-making and then the relative importance and final value of each factors in the strategic SWOT analysis matrix were determined. The results of this study showed that the external and internal factors evaluation matrix was 2.25 and 2.18, respectively, which indicates overcoming the weakness to power and threats to opportunities. In other words, the condition of the Abarkuh Plain is located in the Weaknesses-Threats (WT) column with a defensive strategy. These results indicate that water resources condition is critical in Abarkuh Plain. To manage this crisis, the best management strategies were extracted from the strategic SWOT analysis matrix including: agricultural well equipment using flow meters, changing irrigation methods (underground, injecting, dripping) changing the crop patterns (pistachio, pomegranate and other low-water products), using non-living windbreaker and greenhouse shading, and finally drinking and sanitation water separating.


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