Hydrogeomorphology
ahmad godarzi; hojatolah younesi; babak shahinejad; hassan torabi
Abstract
In rivers, sediment load monitoring is mainly confined to suspended load measurement; as a result, maximizing resources and reducing the damage caused by river flow is critical. The goal of this study was to use Mike3D.2018 software to create a three-dimensional simulation of the Kashkan river flow in ...
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In rivers, sediment load monitoring is mainly confined to suspended load measurement; as a result, maximizing resources and reducing the damage caused by river flow is critical. The goal of this study was to use Mike3D.2018 software to create a three-dimensional simulation of the Kashkan river flow in the spring of 2019. For this objective, HEC-RAS5.0.7 software is introduced and input according to the production of altitude cultivar (coming from mapping) from the bed and floodplain of the analyzed river with a length of 1200 meters and a scale of 1: 1000 for numerical modeling. Flood, suspended sediment, and transition sediment were estimated using data from the Kashkan-Poldakhtar hydrometric station for return periods of 25, 200, 1000, and 1250 years. Floods were highest at 1200 and 1100 cross sections and lowest at 50 and 350 cross sections, according to the model's findings. By comparing the values with the observed values, it was discovered that the simulation at Kashkan-Poldakhtar hydrometric station performed better. Total sediment simulated 207.45 million tons per day and suspended load utilizing Young’s relation with + 11.87 percent error. The amount of transitional suspended sediments in April (5132779/31) was also higher than in January (9890/55), February (41083/73), March (149629/75), and May (15/112617), according to the findings. In addition, compared to the typical silt in the Kashkan River, the amount of sediment in this month is quite large.
Hydrogeomorphology
Ehsan Alvandi
Abstract
In this research, Modeling the effects of management Actions to improve the status of water and soil resources of Tuyserkan watershed in mDSS software environment have been studied.For this purpose, first, the status of the watershed system was analyzed through the DPSIR approach.In order to predict ...
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In this research, Modeling the effects of management Actions to improve the status of water and soil resources of Tuyserkan watershed in mDSS software environment have been studied.For this purpose, first, the status of the watershed system was analyzed through the DPSIR approach.In order to predict the effects of each management activity from the indicators obtained from Four physical, social, economic and ecological criteria were used.Finally, in order to prioritize the proposed management activities, TOPSISand SAWtechniques have been used in the mDSS software environment.According to the results of the DPSIR approach, the most important pressures affecting the system Land use change,Capture and vegetation loss have been introduced.Also one of the most important effects on the status of the watershed system is the criteria for vegetation loss, reduced groundwater recharge and increased risk of flood damage.Finally, according to the results of the DPSIR approach, to improve the status of water and soil resources A set of solutions for biological rangeland improvement and biomechanical operations to store rainfall in the basin was proposed.According to the opinions of experts and environmental conditions of the region from a set of solutions for biological improvement of rangeland and biomechanical operations Seven management activities(Rangeland exclusion,Afforestation,Orchard development,Forage cultivation,Contour furrow,Pile seeding and Seeding)were selected to store rainfall.According to the results obtained from the prioritization of management activities in all proposed methods,Afforestation activity has the highest score and is in the initial priority and the activity of Contour furrow has the lowest score and Is in the final priority.
Hydrogeomorphology
ahad habibzadeh; Massoud Goodarzi; Malek Rafiei
Abstract
1-IntroductionThe common method of supplying water for agricultural purposes is flood irrigation used in semi-dry areas from past times. Flood utilization has long been one of the common water supply methods among farmers in dry areas of the world due to inaccessibility to sustainable surface or underground ...
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1-IntroductionThe common method of supplying water for agricultural purposes is flood irrigation used in semi-dry areas from past times. Flood utilization has long been one of the common water supply methods among farmers in dry areas of the world due to inaccessibility to sustainable surface or underground water resources. In North America, Indians have used simple flood irrigation methods for centuries (Hudson, 1975). The studied area is located at 110km from the center of the province, north of Uremia Lake and the drainage basin surrounding Tasoj city at 45°18' to 45°33' eastern longitude 38°20' to 38°24' northern latitude. The area includes ten sub-basins overlooking the city of Tasuj and the villages of Angashtjan and Amstajan, and its area is 9616.79 ha. The average height of the area is 1700m with an average rain of 271mm in 20 years and an average annual temperature of 13.4°C. The region is climatically affected by polar air from the north, polar sea from the northwest, tropical climate from the south. The region's climate is cold semi-arid, and the rainfall regime is in the Mediterranean. The main feature of this regime is intense rainfall, spring rainfalls, and intense snowing in winters, along with several months of drought in summer and late spring. The land use of this region includes farming gardens 938ha, irrigated aquaculture 2050ha, and dry farming 420ha. The cultivation pattern of farms and gardens mostly includes apple, walnut, Elaeagnus Angustifolia, almond, cherries and alfalfa, wheat, barley, and chickpeas that are the farming lands with aridity problems. Angoshtjan and Amstejan ponds and watersheds have two U.R.F upper Miocene geologic formations and the equivalent formations of Qom with marl, limestone, and sandstone deposits that produce high sedimentary floods (Habibzadeh, 2018). One of the main objectives of flood distribution projects is the improvement of the status of natural resources in flooding plains on the alluvial fans of the outflow of the problematic watershed, the storage of precipitation, supply of underground sources, supply of required water for crop and farming, quantitative and qualitative changes of vegetation, changes in plant composition and increase of plants for feeding and increase of soil fertility. Lashanizand et al. (2010) studied the changes in surface water quality of Kashkan basin due to periods of water scarcity and watery and for this purpose, 12 parameters of water quality and discharge statistics of eight hydrometric stations in 30 years and concluded qualitative changes from The ascending and descending trends follow the periods of watery and aridity. The purpose of this study, while presenting a qualitative analytical method of floods, is to use floods in agricultural water supply in the agricultural plains north of Lake Urmia.2-MethodologyThe research project investigating the effects of incoming flood quality on flood spreading performance was carried out by the author to create model areas for flood exploitation for agriculture, promotion, and development of flood distribution systems in arid and semi-arid regions. Samplers were installed along the flood paths of the Angoshtjan and Amstejan sub-basins at the entrance of the plain and in three locations of impoundment system, above and below these systems with gages. After the installation of samplers, the flood sampling was done to this end, sampling was performed three times in 2011, two times in 2012 and one time in 2014; the number of samples to be taken was determined based on the flood discharge and the height of samplers and sent to the laboratory for analysis. The results related to the differentiation of the sampling location have been classified using Model and Wilcox diagram (Habibzadeh, 2017).3-Results and DiscussionThe main limitation in agriculture, especially in arid and semi-arid regions, is the supply of water needs. In such areas, water is the basis for planning for agricultural development. Every year, much water flows out of reach in the form of runoff or floods and causes much damage to agricultural lands, residential lands, and roads (Mesbah and Negahdar, 2015). According to the purpose of the research, it was necessary to prepare information about the amount of rainfall and floods in the region. For this purpose, the amount of flood extraction was calculated and collected based on 20-year statistics of rainfall and floods in the region. The average monthly rainfall and flood storage are shown in Table 1. Flood samples were sent to the laboratory for qualitative analysis during six floods over three years. Laboratory analyzes including salinity, acidity, anions, and flood cations were performed. The lowest salinity, or EC, is related to the flood of the Amstajan river with 345 μm /cm, and the highest is related to the flood of the Angoshtjan river with 799μm / cm. Table (1): Average monthly flood rate in Tasuj study catchments (2000-2020)MonthPrecipitationmmFlood storagem3Flood%April39.653054.039.1May51.751005.237.6June13.82875.02.1July6.4865.70.6August4.11432.71.1September9.328.60.0October11.72134.21.6November35.55432.14.0December25.40.00.0January14.20.00.0February28.20.00.0March29.618698.713.8 269.5135526.2100.04-Conclusions In this project, to access the 2.5 million m3 outflow flood of Amstejan and Angoshtjan villages, the qualitative analyses of flood samples have been done based on Wilcox, Piper, and Stiff hydro-chemical diagrams. The mean electric conductivity in Amstejan sub-basin floods is 350mho/cm, and for Angoshtjan, the sub-basin is 600 mho/cm. The floods have relatively alkali acidity or neutral. The highest values, 8.06 and 8.04, are related to the inflow flood of the reservoir of flood collection. The quality of floods in terms of irrigation water classification of Wilcox method, where salinity and sodium rate are the most important criteria, is mostly in the C2S1 area. In terms of classification of irrigation water, C2, water with medium salinity that can be used for plants with medium tolerance to salinity, S1 is low sodium water which is good for irrigation of all types of soils and is not risky; therefore, they are good waters for agricultural purposes.
Hydrogeomorphology
Fatemeh Novin Sarandi; Ghodrat Barzeghari; Mahdi Ojaghi; Nasir Nouri
Abstract
Hajilar chai basin located in the western part of varzegan and it may expose to potential of water resources contamination due to placement of Zarrin Dagh Astarkan gold extraction factory in this area. In order to monitor the water sources of the Hajilar chai basin, 12 water samples collected and analyzed ...
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Hajilar chai basin located in the western part of varzegan and it may expose to potential of water resources contamination due to placement of Zarrin Dagh Astarkan gold extraction factory in this area. In order to monitor the water sources of the Hajilar chai basin, 12 water samples collected and analyzed in March 2021. The results showed that the concentration of Co, Pb and As are higher than permissible limit of WHO standard for drinking water in some places and probably the source of trace element related to geological formations and water rock interaction. The aim of this study is to evaluate the hydrchemical characteristics and source of contamination of water sources using graphical methods, multivariate statistical techniques such as factor analysis and hierarchical cluster analysis. The result of the graphical methods showed that the most of the water samples have bicarbonate calcium dominate type. The result of the factor analysis show that four factors were affecting the quality of water source. The first, third and fourth components result from affecting of formation on water resources and water rock interaction. The second component show evidences of the anthropogenic activities in the study area. Also, hierarchical cluster analysis classifies the data into three categories. The first cluster data have similar geochemical process and less trace element. In second cluster hydrochemcial equilibrium is not established, which is probably due to the impact of factory activities. In third cluster, the concentration of arsenic is high and probably is originated from geological formation.
Hydrogeomorphology
Erfan Bahrami; mehdi dastourani
Abstract
Estimation of flood hydrographs in the ungauged watersheds is a challenging issue in flood planning and management. Various models have been developed in this filed and it is necessary to evaluate the performance of models developed in different regions of the world with different climatic, hydrological ...
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Estimation of flood hydrographs in the ungauged watersheds is a challenging issue in flood planning and management. Various models have been developed in this filed and it is necessary to evaluate the performance of models developed in different regions of the world with different climatic, hydrological and physiographic features in order to comment on their performance in different regions. The Gamma synthetic unit hydrograph model is a developed model for estimating flood hydrographs in the ungauged watersheds with limited studies in the world. In this study, the Gamma synthetic unit hydrograph model for estimating flood hydrograph characteristics in Qareh-Sou watershed located in Kermanshah province in Iran has been investigated. Criteria for percentage error in peak discharge, percentage error in volume, mean absolute error, mean bias error, coefficient of determination and Kling-Gupta were estimated to evaluate the accuracy of simulation results. Based on the results, the mean values of the criteria expressed are 6.28, 17.4, 0.89, 0.54, 0.74 and 0.75, respectively, indicating that the Gamma synthetic unit hydrograph model is quite accurate in estimating the characteristics of the flood hydrograph in this study. In addition, the visual comparison of computational and observational hydrographs illustrates the remarkable accuracy of the Gamma synthetic unit hydrograph model in estimating the shape of flood hydrographs in the studied events.
