نشریه مهندسی آب
سال پنجم شماره 3 (زمستان 1396)

Since one of the major problems the country is the lack of Precipitation and having areas that are mostly hot and dry As well as the indiscriminate harvesting of underground water resources and population growth adding, The country's water crisis by taking into account the recent drought years this problem has been doub We should think about our use of Precipitatio he city of Shoush, especially for plain Arayez between prefabricated concrete channel (channel) and low pressure polyethylene pipes and comparative review of the operation is done n and Water Resources. But because in the 2-year-old irrigation network utilization does not pass And the areas that need more years of operation they are going to investigate The channel region of Dezful mustache, about 20 years of operation it is g And low pressure polyethylene pipes Mnyvhy Abadan area nearly 10 years of operation it is going research and visited oing The results are plain to Arayez be used. After investigation And compare the advantages and disadvantages of each of the systems and according to soil type and climate Arayez plain concluded That the benefit of a low-pressure polyethylene pipe is very appropriate channel.

Due to lack of water resources in the country, the use of new concepts such as virtual water in the resource management process has a significant role. In this study, the city of Susa Daniel agriculture from the perspective of virtual water has been studied. The results of the study showed that the virtual water level of this city equals 135,362 million cubic meters per year. This number show that exports of virtual water is the city more than importing . One of the most important reasons for the export of virtual water in the city of Susa water based products such as sugar cane, rice, corn and tomato. The main source for importing virtual water caused by citrus, date, barely and potato. The results also showed that the city of Susa has little potential in the use of green water. Sothat only about 5.5 percent of province production garden produced by green water. Therefore, it is suggested cropping pattern Susa city change to greater use of green water andavoid of planting summer crops such as corn and vegetables .

The amount if pollutant and other hazardous and disease-causing agents in hospitals' wastewater are much higher than the domestic sewage. Thus, this subset of wastewater is really hazardous for both environments and people living in them. The purpose of this study is to investigate the efficiency of wastewater treatment system of Ayatollah Nabavi Hospital in Dezful on the treatment of pollutant agents within wastewaters. In this study, which was administered from November 2015 to April, 2016 (6 months period), the efficiency of wastewater treatment system has been investigated. The parameters under study included turbidity, PH, BOD, COD, TDS, TSS, Fecal Coliform and total coliform, Ammonium and Chloride in the input wastewater entering into the refinery and the output refined wastewater. The whole investigation was made on the basis of "Standards on Measuring Methods" book.

Due to the shortage of surface water resources and the increased demand for water, supply of drinking water from underground resources is very important. To use groundwater for drinking, it is important to evaluate the qualitative proportion of these resources and to plan the spatial distribution of quality parameters should be considered in order to manage its location. This article aims to investigate the quality of groundwater for drinking water. For this purpose, 10 rings of the wells were used in this plain for the parameters of TDS, total hardness, chlorine, sodium, calcium, magnesium, bicarbonate and sulfate. These parameters were evaluated based on the Schuler charts and were interpolated using ARC GIS software and analyzed by Kriging geostatistical method and the spatial distribution of the parameters in the plain was investigated. According to the Schuler chart, most of the parameters in most samples are placed on a good and acceptable floor and are suitable for drinking. Also, due to the qualitative changes in the groundhandling maps of Golgi Plain, the distribution of parameters in the plain has no specific pattern and almost groundwater is suitable for the area of the plain for drinking

Today, due to recent drought, one of the main sources of drinking water in the country is underground resources, and also nitrate is one of the most important pollutants of groundwater resources, which has adverse effects on people's health. The present study seeks to compare and provide an efficient and innovative technique for simulating and predicting nitrate in these resources. Therefore, three artificial neural networks (ANN) models of neuro-fuzzy inference system (ANFIS) and vector-supported vector (SVM) are compared in simulation as a data-driven tool. Simulation based on observation samples from wells in the aquifer under study for 13 years and the modeling period has been selected monthly. Estimates of model simulations include magnesium (Mg), bicarbonate (Hco3), calcium (Ca), sodium (Na). First, the heterogeneous simulation of heterogeneity is carried out on different makeup. Based on the results of the evaluation of the neo-Frazi system The correlation coefficient of R2 = 9978/0 and MS2 = 0002 have better capability and capability.

In order to use groundwater for agriculture, qualitative studies should be carried out. One of the most commonly used methods for evaluating is Wilcox method. In this research, the quality of groundwater of Golgir plain was investigated using 10 village wells for agricultural use with Wilcox chart. The EC and SAR parameters were evaluated and the samples were transferred to the Wilcox chart. The results showed that all specimens were placed on the C2S1 floor, which are in a small salinity range suitable for farming, so there is no limit to use in agriculture. Also, spatial mapping of EC and SAR parameters was provided by kriging geostatistical grounding method. The results showed that due to low parameters of parameters, there is no specific pattern in spatial changes and there is no need for special management and action, and underground water is the whole range that can be used in agriculture.

One of the most important issues in water resources engineering is the prediction of river flow rates as one of the main sources of human water supply, which is important in terms of water resources planning. Using new models in this field can help to manage and plan correctly. In this study, we evaluated 3 models called Neural-Fuzzy Network (ANFIS), Busin Network (BN) and Backup Machine Vector (SVM). The data used for this research is precipitation data and daily flow of Gamasiab Nahavand River during a 10 year period (1381-1391). The results indicated that the neural-fuzzy network model (ANFIS) and backup vector machine (SVM) had almost the same performance in daily river flow modeling and had better performance than the network model. In addition, the speed of implementation of SVM model compared to the rest The models were bigger and were able to deliver results in a short time.