Quality evaluation of groundwater resources of Ardabil aquifer for agricultural and drinking uses (original) (raw)
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2019
Investigating the spatial variation of groundwater quality parameters is important in identifying the quality of the aquifer and contaminating resources, and determining the most appropriate management solutions. Geostatistical and GIS methods can be useful tools in this regard. The aim of this study was to evaluate the geostatistical methods in order to investigate and analyze the spatial amount of salinity, nitrate, and total dissolved solids of subsurface waters of Sistan Plain in northern Sistan and Baluchestan province. For this purpose, ordinary Kriging (OK) and simple Kriging (SK) and certain methods such as inverse distance weigthing (IDW), local polynomial interpolation (LPI), global polynomial interpolation (GPI) and radial basis function (RBF) were used. First, the normality of the data was investigated and the non-normal data were normalized by logarithmic method. Then analysis of variograms was performed. The results were evaluated using a cross-evaluation method. The f...
1-Department of GIS/RS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran 2-Department of GIS, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Iran 3-Geodesy Department, K. N. Toosi University of Technology, Tehran 4-Department of Surveying Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran 5-Department of Urban Planning, Malek-e-Ashtar University, Tehran, Iran
The Handbook of Environmental Chemistry, 2013
Reservoirs are among the most important sources of water supply that can affect the quality of water by changing the temperature. Conditions affected by climate change could affect the thermal regime of reservoirs water. This study investigates the temperature variation of water in Aidoghmoush reservoir depths under climatic conditions in the 10-year period of climate change (2030-2039). Temperature and precipitation are extracted by the CGCM2 model (IPCC's Third Assessment Report) under a B2 emission scenario in the 10-year period of time (1991-2000) and then they were estimated for future conditions. In the following, thermal stratification simulation is performed by the CE-QUAL-W2 qualitative model. The results show that the temperature at the water surface and the floor of the reservoir will increase in conditions of climate change relative to the baseline conditions. The water temperature will increase by an average of 1.5 o C. The findings of this study will help managers and planners to optimize water resources management.
Journal of Environmental Health Engineering, 2020
Background and objectives: The Physical, chemical and biological parameters one of the most important factors determining the quality of drinking water. The overall purpose of this project is to investigate how the quality of water entering the plant in changing the watercolor and creating the foams in different units of water purification. Methods: This study is a case study and in real scale on the raw water inlet to the Koohsabz drinking water treatment plant has been done. The study was conducted over a period of 6 months (February 2016 to July 2017). In the first stage, the raw water quality was assessed according to standard methods. In the second step, the effect of each of the parameters on the color and foam formation in the water treatment process units and the mechanism of effects have been examined. Results: Average changes in temperature, turbidity, the color of the water entering the plant during the study period were 15.8oC, 6NTU, and 6TCU respectively and pH ranges from 6.9 to 8.4. Mean change of EC, TOC and DOC respectively is; 765 μS / cm, 5.8mg /l and 3.53mg /l. The average change UV254 and SUVA were 0.178 l / m and 5.856 L/ mg, respectively. Also, the mean changes of humic acid, surfactant, and chlorophyll a in the input raw water were 0.24, 0.05 mg / l and 2.4 μg/m2, respectively. Conclusion: Investigations showed that the water quality parameters of water entering the treatment plant are effective in creating color and foam in water treatment process units.
Journal of Ferdowsi Civil Engineering, 2019
Among the most important causes of dam failure, overtopping is the main causes. Analysis of dam failure due to overtopping is essential to calculate the failure risk considering the uncertainties. In this study, the application of risk analysis for earth dam failure due to overtopping based on univariate and bivariate flood frequency analysis has been investigated using log-normal distribution for the Tabarak-Abad earth-fill dam located in Khorasan Razavi province of Iran. Considering Qp – V combinations (flood peak discharge - flood volume) for the joint return periods of 50, 100 and 200 years, the results of the bivariate flood frequency analysis have been proposed in the form of six inflow hydrographs. The overtopping risk has been evaluated based on the univariate flood frequency analysis for all hydrographs resulted from bivariate frequency analysis with different return periods and six initial depth of water in the reservoir, considering quantile of flood peak discharge, initial depth of water in the reservoir and discharge coefficient of spillway as uncertain variables. Uncertainty analysis is conducted using Monte Carlo simulation method and Latin hypercube sampling technique. Finally, comparison of univariate and bivariate flood frequency analysis within different periods indicates that bivariate flood frequency analysis method resulted in greater estimated overtopping risk values in all return periods which is accompanied with higher degree of risk. Also, the V1-Q hydrograph, which has the highest volume of flood, is associated with a higher risk in all waterlevels in comparison to other hydrographs. Moreover, to evaluate overtopping risk based on univariate and bivariate frequency analyses, the increasing trend of risk values for rising water level in the reservoir is more tangible than that of increasing return periods. So that at the water level of 66 meters, overtopping risk for the dam is very high.