پژوهشی
Fariba Darabi; Alireza Ildoromi
Abstract
Rainwater harvesting is a way to develop the utilization of water resources in arid and semi arid regions with the aim of increasing the quantity and quality of water resources. The purpose of this study was to determine the factors influencing the location of areas susceptible to the construction of ...
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Rainwater harvesting is a way to develop the utilization of water resources in arid and semi arid regions with the aim of increasing the quantity and quality of water resources. The purpose of this study was to determine the factors influencing the location of areas susceptible to the construction of a rainwater harvesting network (RWH) in the Siahkhore Watershed of Kermanshah using multi-criteria decision making (MCDA) and ANP network analysis. The results of the rainwater harvesting potential map show that poor classes with 2.96, relatively poor 35.49, average 26.06, relatively good 29.2 and good with 6.29 of the catchment area are included. and it indicates that the middle and relatively good and good middle classes with the highest percentage of area level with 61.55%.Field observations and results from the ROC curve show that most of the 115 rainwater harvesting plots are located in areas that are topographically and hydrologically appropriate, all of which are in relatively good, good, and moderate areas. And it represents a very good evaluation of the ANP model. Over 89% of rainwater harvesting sites are in the middle and relatively good and good classes It was found that the combination of Analytical Hierarchy Process (ANP) technique and GIS are useful tools for planning rainwater collection at basin and sub-basin scale.
پژوهشی
Mohammad Hossein Rezaei Moghaddam; Davoud Mokhtari; Majid Shafieimehr
Abstract
Floods are one of the most common natural hazards, causing significant loss of life and property each year. The purpose of this study is to determine the risk areas of floods in Shahr Chai Miyaneh watershed. To implement this model, different layers such as slope, aspect, elevation, distance from river, ...
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Floods are one of the most common natural hazards, causing significant loss of life and property each year. The purpose of this study is to determine the risk areas of floods in Shahr Chai Miyaneh watershed. To implement this model, different layers such as slope, aspect, elevation, distance from river, river density, land use, vegetation, lithology, rainfall and soil were used. The final analysis and modeling was performed using the Vikor model. The results showed that rainfall, slope and distance from the river have the greatest impact on the occurrence of floods in this watershed. Also, according to the obtained results, 5.2 and 1021.7 square kilometers, respectively, are located in a very high-risk and high-risk area. Dangerous and very dangerous areas are mainly located along the main river and mountainous in the steep logic. Due to the high slope and height of the region, it plays an effective role in the amount of runoff and flow peak floods. Also, in the catchment area of Miyaneh Chai city, 2.2, 27.2, 1099.6, 1021.7 and 10.2 square kilometers, respectively, are in a very low risk, low risk, medium, high risk and very high risk area.
پژوهشی
erfan bahrami; Ali Shahidi
Abstract
were prepared as seven raster layers, and after ranking and weighing, the obtained DRASTIC index ranged between 45 and 115. Yet, as far as the model's major problem is applying expert opinions in ranking and weighing the variables, the main purpose of this study is to improve the DRASTIC model by using ...
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were prepared as seven raster layers, and after ranking and weighing, the obtained DRASTIC index ranged between 45 and 115. Yet, as far as the model's major problem is applying expert opinions in ranking and weighing the variables, the main purpose of this study is to improve the DRASTIC model by using the gene expression model, which as an intelligent model has shown a desirable performance. Also, in a mixed form, it can cope with other models to provide acceptable results. Thus, DRASTIC variables of a 20- year statistical period (1999-2009) were defined as the model input, and nitrate concentration was defined as its output. Data in GEP model were divided into two categories: training and experimentation. Moreover, using the statistical parameters (R2, RMSE, MAE and r), the simulation results of the gene expression model were evaluated. The results indicate the model's high ability in estimating nitrate concentration and its high capability in improving DRASTIC model. For validation and improvement of DRASTIC model, statistical parameters, R2 and r, were used, which were specified according to the error of the range model. Also, for each time combining the parameter with the GEP model, a score was gained during different stages and repeated performances of the weight ranking model using weighing rank model of each parameter. Finally, by removing two parameters, S and T, the modified formula of the DRASTIC index which was obtained based on weighing was 5D, 4R, 5A, 5I, and 4C.
پژوهشی
Mohammad Fayaz Mohammadi; Amir Ashtari Larki
Abstract
In the March and April of 2019, a huge flood covered several provinces in the southwest of Iran and the route of these floods was finally Karun and Arvanroud rivers through Khuzestan province. The purpose of this study is to measure the current speed and direction, temperature, salinity, water level, ...
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In the March and April of 2019, a huge flood covered several provinces in the southwest of Iran and the route of these floods was finally Karun and Arvanroud rivers through Khuzestan province. The purpose of this study is to measure the current speed and direction, temperature, salinity, water level, suspended sediment concentration, sediment transportation, discharge of Karun and Arvanroud rivers in flood conditions. In tidal rivers such as Karun River in Khorramshahr and Arvanroud River at the Iran-Iraq border, the tidal wave causes severe changes in flow pattern, and water level, so that requires continuous measurement over a tidal cycle (about 24 hours) to estimate a net flux of water and suspended sediment. Field measurements were performed on 5th April 2019 in spring tide in two stations in Karun and Arvanroud rivers. Analysis of the data shows that in flood conditions, water level fluctuations reduced drastically, so that the tidal range in Khorramshahr has decreased from about 100 cm to 26 cm. The average of salinity and current speed in Karun and Arvanroud stations were 0.62psu and 2.1psu, and 1.6m/s and 1.9m/s respectively. The direction of the flow, against the usual, was continuously towards the sea. The maximum suspended sediment concentration were 380g/m3 and 67g/m3 at Karun and Arvanroud stations, respectively. According to the above data, the average water discharge in Karun and Arvanroud were 2153m3/s and 7883m3/s, and the average sediment flux were 142 kg/s and 454 kg/s, respectively.
پژوهشی
Amirpouya Sarraf; Hojjatollah Ghasemi
پژوهشی
hydrogeology
maryam baranpour; Bijan Khalili Moghadam; Amin zoratipour
Abstract
Abstract:The climate change is a complex atmospheric-oceanic phenomenon on the global scale. Climate change and global warming is one of the most important factors affecting the degradation of water and soil resources in arid and semi-arid regions; Which increases the occurrence of dust phenomenon. The ...
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Abstract:The climate change is a complex atmospheric-oceanic phenomenon on the global scale. Climate change and global warming is one of the most important factors affecting the degradation of water and soil resources in arid and semi-arid regions; Which increases the occurrence of dust phenomenon. The aim of this study was to evaluate the performance of two statistical downscaling models of SDSM and LARSWG for quantitative screening in predicting climate scenarios and also predicting climate change in the dust center of south and southeast of Ahvaz. In line with this goal, one of the three-dimensional paired oceanic models - AOGCM atmospheric general circulation called HadCM3, The results showed that the simulated data of both models, compared to the observed data, were significant compared to the long-term mean of the base period and had a high correlation with a high coefficient of determination (R2) for all parameters from 0.87 to 0.98. Finally, by confirming the existence of climate change in Khuzestan province , SDSM model due to direct use of HadCM3 models and large scale NCEP data and the type of simulation process and also Combined structure in data mining scale with RMSE, MAE and ME 0.97, 0.18 and 0.021, respectively; It has higher accuracy than LARSWG model in simulating climatic data in the dust center of southern Ahvaz. The SDSM model was also more successful in simulating daily temperature data and wind speed, and the LARSWG model had a better prediction of the daily precipitation parameter.
پژوهشی
hydrogeology
Sina Ziaye Shendershami; Abazar Esmali Ouri; Raoof Mostafazadeh; Ardavan Ghorbani
Abstract
The aim of this study was to investigate the factors affecting the decrease and change of groundwater level in Ardabil plain in two periods 1995 to 2005 and 2005 to 2015. The monthly precipitation data of Ardebil, Nir, Namin, Abi baglo, Hir, Samiyan stations in the Ardabil plain during the statistical ...
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The aim of this study was to investigate the factors affecting the decrease and change of groundwater level in Ardabil plain in two periods 1995 to 2005 and 2005 to 2015. The monthly precipitation data of Ardebil, Nir, Namin, Abi baglo, Hir, Samiyan stations in the Ardabil plain during the statistical period of 1995-2015 and monthly data of the height of the station in 24 Piezometric well ring were chosen for the plain. Landslide OLI and TM satellite imagery was used to prepare land use map for the target periods in June 1993, 2005, and 2015. The results of land use changes in the years 1993, 2005, and 2015 in the Ardabil plain showed the highest watery agriculture with 48156.26, 50678.66, and 58356.68 and area water level, respectively, were with 168.75 ,88.65 and 380.95 ha, lowest level Which indicates the high level of agricultural land involvement in the decline of agricultural land in the Ardebil plain. The study of the process of Piezometric Wells showed that in the plain of Ardabil, the maximum height of the surface of the station (1437 m) is related to the southern parts of the plains around the village - Noshahr-Kargan and the minimum height (1300 m) is related to the village of Khalifaulo Sheikh. The highest level of cultivation is also focused on user plans in these areas.
پژوهشی
hydrogeology
hamidreza babaali
پژوهشی
Mohammad ValiOghloo; Mahmoud Zakeri Niri
Abstract
Contamination risk assessment of water resources and pollution zoning can provide useful information for quality control of these resources. In this regard, in line with policies to prevent pollution of water resources and control of pollutants, optimal use of water resources, determining the potential ...
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Contamination risk assessment of water resources and pollution zoning can provide useful information for quality control of these resources. In this regard, in line with policies to prevent pollution of water resources and control of pollutants, optimal use of water resources, determining the potential risks of pollutants in catchments seems necessary. The purpose of this study is to assess the pollution risk of Ahmad Biglou Dam catchment using WRASTIC method. Therefore, in the present study, the Iranian surface water quality index (IRWQISC) was used to evaluate the efficiency of the vestic index and its adaptation to the real environment. According to the results, the risk levels of wastewater discharge, recreational and tourism activities, agricultural activities, catchment size, communication routes, industrial activities and land use for sub-basins A1, A2, A3, A4, A4, A5, A7, A5, A6, A5, With 35,35,44,28,29,16 and 18. The results show the fact that the level of risk from sparsely populated, pristine and less developed industrial and recreational areas to densely populated areas, has access to, close to the city, tourism and has increasing industries. According to the results of model validation with the current status of water pollution in the catchment area of Ahmad Biglou Dam, sub-basin A2 with 70% compliance at the location of quality monitoring station No. 2 and with 81% compliance at the location of quality monitoring station No. 3 and sub-basin A3 at the location of quality monitoring station No. 4 has 88% correlation with the obtained risk index.
پژوهشی
hydrogeology
Hadi Nayyeri; Mamand Salari; Zhila Chardawli
Abstract
The soil erosion issue and lands' degradation is one of the most important issues in natural sciences. Soil erosion is the predominant geomorphic process on many land surfaces. In order to assess the environmental and economic consequences of soil erosion, quantitative data are needed. In this research, ...
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The soil erosion issue and lands' degradation is one of the most important issues in natural sciences. Soil erosion is the predominant geomorphic process on many land surfaces. In order to assess the environmental and economic consequences of soil erosion, quantitative data are needed. In this research, soil erosion is studied with of morphometric parameters. For this aim, Gheshlagh river basin iin Kurdistan province, was studied. Areas with a rating of more than 2 that entered directly into the main river were plotted as sub-basins for morphometric calculations. These areas included 47 sub-basins. The number of 16 morphometric parameters were calculated to determine the morphometric conditions of the basin and were considered as the input layer. Then, the results of these parameters were aggregated by four multi-criteria decision models TOPSIS, VIKOR, SAW and CF. In all four, the northern sub-basins were classified as areas with low and very low susceptibility to erosion. These basins are often located in volcanic rocks. In a general view, according to all four models studied, the basins in the lithology of dark gray shale (Sanandaj shale). Their sensitivity to erosion have been classified from moderate to very high. the final results showed that the multi-criteria decision-making methods, by presenting a classification, divide the region into several classes in terms of the degree of erosion sensitivity, and the VIKOR method, due to the greater coefficient of variation, has more accurate than the others.
