Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 2
Search results for: S. M. Hashemy Shahdany
2 Fairly Irrigation Water Distribution between Upstream and Downstream Water Users in Water Shortage Periods
Authors: S. M. Hashemy Shahdany
Abstract:
Equitable water delivery becomes one of the main concerns for water authorities in arid regions. Due to water scarcity, providing reliable amount of water is not possible for most of the irrigation districts in arid regions. In this paper, water level difference control is applied to keep the water level errors equal in adjacent reaches. Distant downstream decentralized configurations of the control method are designed and tested under a realistic scenario shows canal operation under water shortage. The simulation results show that the difference controllers share the water level error among all of the users in a fair way. Therefore, water deficit has a similar influence on downstream as well as upstream and water offtakes.Keywords: equitable water distribution, precise agriculture, sustainable agriculture, water shortage
Procedia PDF Downloads 4661 Application of Data Mining for Aquifer Environmental Assessment
Authors: Saman Javadi, Mehdi Hashemy, Mohahammad Mahmoodi
Abstract:
Vulnerability maps are employed as an important solution in order to handle entrance of pollution into the aquifers. The common way to provide vulnerability map is DRASTIC. Meanwhile, application of the method is not easy to apply for any aquifer due to choosing appropriate constant values of weights and ranks. In this study, a new approach using k-means clustering is applied to make vulnerability maps. Four features of depth to groundwater, hydraulic conductivity, recharge value and vadose zone were considered at the same time as features of clustering. Five regions are recognized out of the case study represent zones with different level of vulnerability. The finding results show that clustering provides a realistic vulnerability map so that, Pearson’s correlation coefficients between nitrate concentrations and clustering vulnerability is obtained 61%.Keywords: clustering, data mining, groundwater, vulnerability assessment
Procedia PDF Downloads 604