جستجوی مقالات مرتبط با کلیدواژه "agricultural" در نشریات گروه "مهندسی آب"

The concept of eco-efficiency is used as a tool to analyze farm sustainability to relate economic value of an activity to its impact on the environment. SEAT and EVAT software are two modelling tools which combine both economic and environmental viewpoints into a single modelling framework and allow the user to evaluate the water consumption system. In this research, the eco-efficiency index with regard to the environmental impacts of diesel fuel was evaluated in the one of commands area in Sefidroud Irrigation and Drainage. The agricultural lands in this area including paddy rice, tea-garden and fish-culture. The environmental performance of the system was evaluated for climate change due to greenhouse gas emissions from diesel consumption as well the economic performance was measured by using the total value added to the system's final products due to water use and the adopted management practices. Then, the value of area vulnerability was assessed according to eco-efficiency index of climate change. The results showed that the eco-efficiency index in baseline for paddy rice, tea-garden and fish-culture were calculated 3.46, 0.76 and 0.02 Milion Rials/kg 〖CO〗_2 eq, respectively. the results showed that eco-efficiency indicator of scenarios 3 (the percent of irrigation efficiency and return flow are 63% and 5% in paddy rice, respectively) and 4 (replacing 50% of diesel engines with electric motors in fish farming) were increased 17 and 86% in the entire of F1, respectively, in comparison with base scenarios.

Water quality management in groundwater aquifers requires accurate water quality monitoring to ensure they meet a variety of relevant standards. Given the rather few reported studies in the field, the present study was designed and implemented to investigate the groundwater quality of Shahr-e-Babak aquifer that is exploited for agricultural, mining, drinking, and industrial consumptions. The kriging and IDW (power:1-3) techniques with spherical, exponential, and Gaussian variogramsare were compared using R2, RMSE, MAE, and RSS indices to find the optimum model for determining the spatial variability of sixteen groundwater quality parameters. Multi-purpose zoning of groundwater quality was accomplished in the ArcGIS environment in terms of the Wilcox, Schuler, drip and sprinkle irrigation as delineated by Iran Power Ministry, corrosiveness, and sedimentation standards as well as the WHO and IRISI indices before spatial correlations were determined accordingly. Based on the water quality zoning maps thus derived, Langelier, Corrosiveness, and Ryznar indices were several times larger than the threshold levels across the whole aquifer plain, indicating the wide corrosiveness of the water in industrial applications. The results also revelaed that 93% of the groundwater in the plain area was classified as C4-S1 and C4-S2, which are unsuitable for irrigation, while only 1.3% of the groundwater was acceptable for drinking uses. Drip irrigation zoning revealed that 64% of the plain area had the lowest water quality.The undesirable quality zones in a vast area of the aquifer investigated calls for accurate quality monitoring and management to meet the development objectives in the region.