Azam Tabarzadi; Meghdad Jourgholami; Alireza Moghaddam Nia; Baris Majnounian Garagiz; Pedram Attarod
Abstract
Many environmental challenges such as stormwater runoff and flood risk, chemical and particulate pollution of urban air, soil and water, the urban heat island, and summer heat waves are exacerbated in urban environments. Runoff from heavy rainfall in many parts of the world lead to erosion, sedimentation ...
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Many environmental challenges such as stormwater runoff and flood risk, chemical and particulate pollution of urban air, soil and water, the urban heat island, and summer heat waves are exacerbated in urban environments. Runoff from heavy rainfall in many parts of the world lead to erosion, sedimentation and transportation of elements that forest covers is the most important factor in controlling it. In this research, the qualitative and quantitative characteristics of runoff in Chitgar forest park have been investigated. For this purpose, runoff discharge, physicochemical parameters including total suspended solids, total dissolved solids, pH, and chemical parameters including calcium, magnesium, sodium, potassium, nitrate and phosphate were measured and analyzed during three storm events. The results of the present study indicated that the average values of the measured parameters were 1988.3 l / h, 40.64 mg/l, 2064.8 mg/l, 7.75, 2.95 mg/l, 2.23 mg/l, 584.4 mg/l, 5.71 mg/l, 1.36 mg/l, and 0.71 mg / l. Also, the correlation between parameters showed that there was a strong relationship between measured parameters, with the highest correlations between calcium with discharge (0.66) and total dissolved solids (0.69) and sodium with pH (0.7) and total dissolved solids (0.65). Comparison of the results obtained from this study and with those of other studies on water quality status of different rivers indicates that the qualitative pattern of urban runoff and also the relationships among the qualitative parameters of urban runoff are very different from surface runoff of rivers.
Abbas Alipour; Jaber Rahimi; Ali Azarnivand
Abstract
Groundwater resources play central role in meeting domestic and agricultural demands of residents in arid regions. Owing to rapid urbanization, water use and land use has changed considerably. Overexploitation of wells posed a huge burden on available water resources. Degradation of water resources along ...
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Groundwater resources play central role in meeting domestic and agricultural demands of residents in arid regions. Owing to rapid urbanization, water use and land use has changed considerably. Overexploitation of wells posed a huge burden on available water resources. Degradation of water resources along with an increase of salinity has adversely affected water resources. Hence, current paper focuses on determination of water quality of the wells of nine provinces of Iran which are influenced by water shortage. In this regard, WQI is a suitable index for analyisis and classification of data. To provide a holistic influence from individual water quality parameters on total water quality, water quality index (WQI) is employed. In other words, WQI is average weight of multiple parameters. Apart from WQI which has been used for drinking purposes, Wilcox has been used for agricultural water quality analysis. After identification of water quality conditions, sustainable settlement of population should be considered. Environmental planning and management, policy making, obtaining conclusive strategies and land use planning should be taken into account after providing water quality maps. Generation of water quality maps is an effective step for optimal operation of groundwater resources as well as for decision making. In present study, most of aquifers have been identified of low water quality (WQI=200-300).
mohammad mirzavand; Hoda ghasemieh; mahmud akbari; seyed javad sadatinejad
Abstract
Kashan aquifer is adjacent to Salt Lake. Because of this adjacency, the saline water of the lake has moved to the aquifer. In this study groundwater quality of the aquifer was simulated using Artificial Neural Network (ANN) model. For this purpose, the dominant ion of water was first determined by Piper ...
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Kashan aquifer is adjacent to Salt Lake. Because of this adjacency, the saline water of the lake has moved to the aquifer. In this study groundwater quality of the aquifer was simulated using Artificial Neural Network (ANN) model. For this purpose, the dominant ion of water was first determined by Piper diagram. Results showed that the sodium chloride is the dominant ion of water and so it was selected as the target variable to be simulated So the output variable of the ANN model was the concentration of sodium chloride in current year while the input variables were the water table of groundwater, yearly rainfall and the concentration of sodium chloride in previous year. Result showed that Multilayer Perceptron ANN model has better result in predict of chlorine concentration compared to Radial Basis ANN model. The sensitivity analysis showed that concentration of chloride in previous year and water table of groundwater are the most important variables in the ANN model respectively.
