Rahim kazemi; Bagher Ghermezcheshmeh; Reza Bayat
Abstract
IntroductionResearch on low flow is important, not only from a fundamental point of view but also in terms of sustainable water resource management. Optimum water resources management is one of the most crucial challenges of the 21st century, and due to population growth and climate change, water supply ...
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IntroductionResearch on low flow is important, not only from a fundamental point of view but also in terms of sustainable water resource management. Optimum water resources management is one of the most crucial challenges of the 21st century, and due to population growth and climate change, water supply in the future will probably depend on sustainable water sources. The World Meteorological Organization (WMO) introduces low flow as a flow of rivers that continues during the dry period of the climate. Low flow is affected by climate changes, topography, geology, soil, and human activities. The geographical location and climatic conditions of Iran cause a lack of rainfall and water scarcity. Therefore, the recognition and analysis of sustainable water resources is the main component in the surface water resources management of Iran. This research has been done with the aim of investigating the characteristics of scientific publications regarding low flow research in Iran and the world and providing a perspective of the current situation and direction of future research.Materials and methodsThe data relating to low flow research in environmental; agricultural and biological sciences were retrieved from the Science direct database in the period 1999 to 2022 and SCImago Journal Rank indicator (SJR) from https://www.scimagojr.com as well as scientific information database of Jihad Daneshgahi (SID) and data from Iranian Research Institute for Information Science and Technology (IranDoc). A total of 22875 publications were obtained and with following aspects analysed intensively:(1) Distribution of international low flow-related publications (2) low flow-related publications from Iran; (2) distribution of subject categories; (3) core journals; (4) distribution of Iranian articles related to low flow; (5) frequency of low flow-related articles in Middle East and countries around Iran; (6) research trends. Bibliometric techniques, including citation analysis, five-year impact factor, JCR classification, coverage period and h-index were used to evaluate and interpretation of the results.Results and discussionThe results showed that the general trend of global scientific publications in low-flow research was with a positive slope and a growth rate of 1.52%. Also, the trend of international publications from Iran had a positive slope with a 0.94 coefficient of determination and a growth rate of 1.60%. The results of the subject classification of publications at the global level showed that most publications with 85.75% belong to research papers and the least amount to conference papers and editorials. International papers originating from Iran were of the first order of importance to publications with 90.04%, which has a larger share of the total papers than global papers. The results of the analysis of the most important keywords related to low flow showed that more than 72% of the titles of papers and theses were assigned to "base flow" and "flow duration curve (FDC) keywords ".ConclusionsThis research is a systematic bibliographic analysis of texts related to low flow research publication. By summarizing and analysing the growth curve of publications, it can be concluded that the total number of international publications related to low flow research corresponds to the theoretical fitting line and shows the proportionality of the potential of low flow research in the world with the actual amount. The general result of the analysis of international publications from Iran shows a high potential for low flow research in Iran and indicates a change in the attention of the Iranian scientific community to the publication of articles on the topic of low flow at the international level.
Rahim Kazemi; Jahangir Porhemmat; Bagher Ghermez Cheshme
Abstract
Understanding the interaction of drought phenomenon and hydrological response of catchments can lead to obtaining some information for optimal water resource management. The aim of this study was to investigate the temporal relationship between drought and groundwater contribution to stream flow, in ...
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Understanding the interaction of drought phenomenon and hydrological response of catchments can lead to obtaining some information for optimal water resource management. The aim of this study was to investigate the temporal relationship between drought and groundwater contribution to stream flow, in Kaka–Reza Sub-catchment. In this study, the common period of 1382-2017 was considered for the corresponding hydrometric and rain gauge stations. The Standardized Precipitation Index (SPI) was then calculated at time scales of three, six, nine, 12, 18 and 24 months. Base flow and related index were calculated by B-Flow-Line and Halick digital filter method in monthly, annual and total time bases. Then the Standardized Base Flow Index (SBFI), the Base Flow Duration Curve (BFDC) and the base flow duration curve shape index (SBFDC) was calculated. Changes in BFDC and the corresponding shape index and the relationships between SPI and SBFI were investigated and analyzed using the correlation method. The results showed that the average Base Flow Index during the research period was equal to 0.52 and its minimum and maximum were equal to 0.46 and 0.57, respectively. Also, the trend of bas flow changes is a decreasing trend with a low slope. The trend of changes SBFDC decreases over study period with a low slope. The rate of slope change is also from one to three percent, and close to the straight line, which indicates the tendency for base flow to be stable in the long time. The greatest impact of the drought phenomenon on the river base flow is in the time step of nine and twelve months. The correlation between SPI and SBFI with a coefficient of determination 0.87 confirms the increase in the groundwater contribution to base flow, with a delay of nine to twelve months.
Bagher Ghermezcheshmeh; Rahim Kazemi; Mojtaba Nassaji
Abstract
Recognizing and analyzing the behavior of low flow indices is a prerequisite for water resource management and cropping pattern planning in arid and semi-arid regions. The purpose of this study was to analyze low flow in order to provide regional relations and identifying vulnerable areas. In this study, ...
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Recognizing and analyzing the behavior of low flow indices is a prerequisite for water resource management and cropping pattern planning in arid and semi-arid regions. The purpose of this study was to analyze low flow in order to provide regional relations and identifying vulnerable areas. In this study, 26 stations with a common statistical period were selected by examining the daily stream flow data of hydrometric stations in Karkheh Basin. The daily stream flow time series was prepared for each year. Then, three, five, seven, 10, 15, 30 and 60 days low flow and average annual discharge were extracted for each year and each station. A new index was defined as the "low flow index". Then the trend detection of low flow index and its regional analysis was performed. Single and multiple regression between independent parameters of height, area, slope, distance to the outlet and related low flow indices extracted and results were analyzed. The accuracy of simulation was also estimated through the coefficient of determination. The results showed that by increasing the distance from the outlet of Karkheh basin upwards, the trend of the index was higher and in the branches, the obtained index was less than the downstream. This indicates that the branches were more vulnerable and should be focused on better water resources management in the branches.
Rahim Kazemi
Abstract
During the last two decades, there has been a lot of research on the base flow issue in the country, but so far, no comprehensive and specific article review of base flow research has been conducted, untill the various aspects of this issue be identified and the cases ignored, be introduced and addressed. ...
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During the last two decades, there has been a lot of research on the base flow issue in the country, but so far, no comprehensive and specific article review of base flow research has been conducted, untill the various aspects of this issue be identified and the cases ignored, be introduced and addressed. In this research, first, by literature review at the global and national level, the progress of studies in different fields of this issue were investigated and then dissertations, articles and reports published in international journals and related conferences have been classified and discussed for the past two decades. The main purpose of this research was to identify issues of research at base flow and to identify lesser and overlooked issues in country research. The articles reviewed in this research were analyzed based on spatial domain, research method, theory, data analysis techniques and topic. Results showed that research orientation in base flow in Iran can be divided into four general categories; 28.21% of studies related to applied orientation; 37.18% to comparison and introduction of proper baseflow separation method; 19.23% to investigation of factors affecting base flow and 15.38% to general use and description of hydrological conditions of the study area. The overall conclusion, indicates limited studies, lack of innovative, and focus on the use of conventional and repetitive methods and also lack of attention to this issue by scientific and research centers of the country.
Alireza Eslami; Rahim Kazemi
Abstract
Regional flood frequency analysis is a powerful tool for estimating and analyzing flood flow in watersheds. In this research, different methods of regional flood analysis and hydrological homogeneity of catchments that has been done in the country has been investigated. Among the many methods for determining ...
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Regional flood frequency analysis is a powerful tool for estimating and analyzing flood flow in watersheds. In this research, different methods of regional flood analysis and hydrological homogeneity of catchments that has been done in the country has been investigated. Among the many methods for determining the homogeneity of sub-catchments, cluster analysis due to the ability of factor analysis to select the most important factors, simplicity of considering various factors, independence of effective factors, accuracy of separation of homogeneous groups, and advantage of using proper diagnostic functions, was the most appropriate method. Multivariate regression method, especially when the homogeneity of catchments have been accurately determined, has shown good performance in regional flood analysis. L-moment method, due to uniqueness and existence has good performance in estimating parameters and selecting appropriate statistical distributions. So that in the regional flood frequency analysis, the L-moment method performs better than other methods, particularly in the case of shortage and skewed data. The analysis of the intelligent models such as artificial neural networks (ANNs) and fuzzy logic, showed the high ability to establish nonlinear relationships between multiple input variables. The results of the Investigation of different factors used in regional analysis methods showed that Physiographic factors were highest (72.11%) followed by climatic factors (17.69%) and land cover parameters (7.48%). Also, the lowest contribution was related to hydrological factor with 2.72%. Among the physiographic parameters, the area factor with 30.19% of the contribution had the most influence on the regional flood analysis. Among the climatic factors, the highest application was related to the average annual rainfall factor with 73.08% contribution.
Rahim Kazemi; Jahangir Porhemmat
Abstract
Understanding the base flow can be useful in river flow analysis, rainfall-runoff modeling, calibration of models, water resource management in low flow conditions and determination of the amount of water storage in watershed. In this research, 22 stations were selected with the appropriate data and ...
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Understanding the base flow can be useful in river flow analysis, rainfall-runoff modeling, calibration of models, water resource management in low flow conditions and determination of the amount of water storage in watershed. In this research, 22 stations were selected with the appropriate data and common period of the years of 1982-2012. The trend of flow changes during the months of the year was determined for all hydrometric stations in the study area and the driest month was determined. Then, the calibration of six recursive digital algorithms was performed using the long-term data of the driest month of the year and after obtaining optimal parameters of the models, the base flow separation for the whole period was performed. The performance evaluation of the models was done using root mean square error. The results showed that the major part of the river flow in the study area was related to the base flow and the minimum, maximum and average annual base flow index for the whole period was equal to 0.48, 0.62 and 0.56, respectively, representing more than 50% of ground water contribution to stream flow of the studied watersheds. Results of the evaluation of the models using the root mean square error showed that the mean error in the research area for all the methods ranged from 0.025 to 0.044. The minimum was related to Lynie and Holick, and the maximum related to the One-parameter digital filter. Over all, conclusion of the results of the calibration process and investing the correlation between calculated and measured data showed that there was a correlation with a coefficient of explanation of more than 80%. Calibration method with dry season data in the absence of tracer-based methods is suggested as the most suitable method for calibrating digital separation filters in the study area.
Rahim Kazemi; Jahangir Porhemmat; Forood Sharifi
Abstract
The Flow Duration Curve (FDC) is a classical method used to graphically represent the relationship between the frequency and magnitude of stream flow and is required as a prerequisite for water resources management projects. In this study, by analyzing daily data of hydrodynamic stations, 47 stations ...
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The Flow Duration Curve (FDC) is a classical method used to graphically represent the relationship between the frequency and magnitude of stream flow and is required as a prerequisite for water resources management projects. In this study, by analyzing daily data of hydrodynamic stations, 47 stations with the appropriate statistics and the common period between 1976 and 2011 was selected in a semi-arid region of the country. Using a topographic map with a scale of 1: 50000 and determining the position of the stations, the study area was determined and 11 physiographic parameters influencing the flow duration curve including: average height, basin area, gravilillus coefficient, basin slope, main river length and hydrological parameters including annual rainfall, Base flow index, hydrograph recession constant, curve number, permeability and the number of rainy days were extracted for each basin. The flow duration curve indices were then extracted using daily flow data. Then factor analysis was performed and independent factors influencing the flow duration curve were determined. Finally, homogeneity was performed based on independent main factors and the regression relations of the curve indices were extracted in each homogeneous region.In order to investigate the validity and accuracy of the models in homogeneous regions, error-independent test methods, normal distribution of errors and control stations were used. The results showed that the selected factors for factor analysis in semi-arid climatic zone (75.875 percent) of the variance of data were explained. The six parameters of precipitation, curve number, slope, rainy days, permeability and area were known as the most effective parameters. The results of the accuracy assessment of the models using the control stations showed that the relative error of the relations presented in the homogeneous region was 0.17, 2.17, 2.73, 1.53 and 1.94, respectively. The normal distribution of errors, the coefficient of determination of more than 0.90 and the Durbin Watson coefficient between 1.5 to 2.5 also Nash-Sutcliff near "one" indicate the reliability of the regression relations presented for estimating the flow duration curve indices in the ungagged catchments in semi-arid areas of the country.
Rahim Kazemi; Forood Sharifi
Abstract
Watershed planning and management of water resources requires various data including base flow and its index. This parameter is influenced by Morphometric, geologic, hydrologic and climatologically factors and has always been one of the most important issues in hydrology. In this research, the Domarton ...
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Watershed planning and management of water resources requires various data including base flow and its index. This parameter is influenced by Morphometric, geologic, hydrologic and climatologically factors and has always been one of the most important issues in hydrology. In this research, the Domarton method was used to map the climate of Iran with the use of temperature and precipitation data. Then, using daily stream flow data and after controlling for time series, base flow and related index, using two parameter the recursive digital filter were extracted in selected catchments of six climatic zones including; arid, semi-arid, humid and semi-humid and very wet and Mediterranean. Hydrological and climatically parameters of the basins measured and physiographic factors were extracted in the digital environment. To identify independent factors affecting base flow, factor analysis were down using 14 parameters in each climate zone and then effective factors were analyses. The results showed that more than 80 percent of the variance of parameters was explained by selected parameters. The intrinsic factors related to the penetration and retention of water in all climate zones are in the first importance order with the weight more than 45 percent. Flow duration curve indices in very humid, humid, semi-humid and semi-dry climatic zones respectively with 45, 53, 52, and 53 percent and in the dry and Mediterranean climate zones parameter of storage capacity, Respectively with 49 and 58 percent have the greatest influence over the base flow. The results showed that the weight of the factors affecting base flow, vary depending on the type of climate.
Rahim Kazemi; Jahangir Porhemmat
Abstract
Estimating the runoff coefficient that is influenced by morphometric, geologic and hydro-climatologically factors are the most important issues in hydrology and information of its role in the planning and management of water resources is more important. Clustering catchments is the best method for the ...
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Estimating the runoff coefficient that is influenced by morphometric, geologic and hydro-climatologically factors are the most important issues in hydrology and information of its role in the planning and management of water resources is more important. Clustering catchments is the best method for the analysis of hydrological parameters in the absence of full coverage of hydrological data. In this research, twenty two hydrometric stations with common period from 1974 to 1999 were selected. Physiographic parameters of the catchments were extracted. Runoff coefficient was calculated and then base flow was extracted from using one parameter recursive digital filters. Lithological units using digital geological map, with the scale of 1: 250,000, based on expert opinion divided on two classes and area covered by each unit in each catchment were calculated. Factor analysis using 15 parameters were conducted. Catchments using independent factors in different hierarchy methods includes: nearest neighbor, furthest neighbor, median clustering, centroid clustering and Ward method were classified. Then, the regional equations using linear regression at 1% significant level were determined. To compare and evaluate the accuracy and efficiency of the models, independence errors, colinerity and normal distribution of error were tested. The results of factor analysis showed that all variables are to be classified in terms of five factors which 85.9% of the variance was included. Results of homogeneity showed that the basins in homogeneous methods of nearest neighbor, furthest neighbor, centroid clustering and median clustering, were all the same and classified in two groups with the similar components. The results of accuracy assessment showed that the accuracy of nearest neighbor methods was more accurate, and because of low relative error (25.4%) and MAE of 7.85 and RMSE of 9.62 was diagnosed as the best method for regional analyzing of runoff coefficient in the study area.
Rahim Kazemi; Fourod Sharifi
Abstract
Planning and management of water resources in watersheds require data, including, base flow and its index. These parameters are influenced by morphometric, geologic and hydro climatologic factors and have always been of the most important issues in hydrology. In this research, base flow and related index ...
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Planning and management of water resources in watersheds require data, including, base flow and its index. These parameters are influenced by morphometric, geologic and hydro climatologic factors and have always been of the most important issues in hydrology. In this research, base flow and related index were extracted from daily stream flow data using two parameters recursive digital filters in 43 hydrometric stations of Kerman Province. Physiographic, climatic and hydrological parameters were calculated in GIS environment. Using factor analysis of 14 parameters, six factors were chosen as the most important independent factors. Then the regional equations were determined, using linear regression at 1% significant level. To compare and evaluate the accuracy and efficiency of the models, independence errors, colinerity and normal distribution of error were tested. Among the factors investigated, multivariate regressions were identified as the best estimator of base flow index in the study area.
Rahim Kazemi; Amir Safari; Amir Karam; Jahangir Porhemat
Abstract
Estimation of Base Flow Index (BFI), has always been one of the most important issues in hydrology. Base flow separation process, often is done using daily stream flow data. Lack of full coverage of daily data for the whole country, may lead to some errors for estimating the base flow and its index. ...
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Estimation of Base Flow Index (BFI), has always been one of the most important issues in hydrology. Base flow separation process, often is done using daily stream flow data. Lack of full coverage of daily data for the whole country, may lead to some errors for estimating the base flow and its index. In this research, base flow index in some catchments of Karkhe basin based on daily and monthly stream flow data and using six algorithms were extracted. Three based on recursive digital filter (One-parameter, two parameter and Lynie & Hollick algorithms), and the others on simple smoothing including, Local minimum, Fixed interval and sliding interval methods. Results were analyzed using different statistical methods such as standard deviation, mean absolute error, relative error and other descriptive methods. The results showed that minimum relative error of monthly data compared to daily data was related to two parameter algorithm with 2.45% and the maximum was related to Lynie & Hollick algorithm with 84.19 percent .In overall conclusion, two parameter algorithms because of low relative error, minimum Mean Absolute and Root Mean Square Error was recognized as a suitable method for the extraction of base flow using monthly data in the absence of appropriate data daily.
Mehdi Rahmani Jevinani; Rahim Kazemi; Seyed Reza Emam jomeh
Abstract
In flood water spreading site selection, Electrical resistivity tomography (ERT) plays an essential role in identification of the geological characteristics such as: depth of bedrock, thickness of the alluvial deposits, water table, fault and impermeable layer. ERT methods try to answer some of the important ...
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In flood water spreading site selection, Electrical resistivity tomography (ERT) plays an essential role in identification of the geological characteristics such as: depth of bedrock, thickness of the alluvial deposits, water table, fault and impermeable layer. ERT methods try to answer some of the important parameters for flood water spreading site selection. ERT method is based on a new approach for modeling distribution of resistivity values under different topographic condition. In this research, ERT studies were designed in a rectangular grid with three profiles in parallel, perpendicular to the channel and the average distance of 600 meters and a length of 1250 meters that covers water spreading and adjacent area. On the profiles, a total of 18 Schlumberger sounding with broadening the AB/2, 100 and 147 meters to 250 meters away from each other were considered. The exact location of the fault was determined by preparation of Two-dimensional cross sections obtained from inverse modeling that were performed with the RES2DINV software. By extraction and interpretation of data which is modeled by SURFER, ver7 and providing pseudo resistivity sections in different depth, type of fault, amount of sedimentary strata displacement and alluvium thickness were determined. By comparing the resistivity values with the existing well logs in the study area, the relative permeability of underlying layers were determined.
Rahim Kazemi; Samad Shadfar; Reza Bayat
Abstract
Information on the hierarchical importance of the factors influencing on the spatial distribution of springs in a watershed are required for the development of the water quality and quantity management plan. In this regard, we address the integration of GIS and decision support tools, for zoning prone ...
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Information on the hierarchical importance of the factors influencing on the spatial distribution of springs in a watershed are required for the development of the water quality and quantity management plan. In this regard, we address the integration of GIS and decision support tools, for zoning prone areas. In this research to determine hierarchical importance of the elements on the water resources development in Karst regions, first with literature review and field studies, the effective parameters in occurrence of spring were selected. Then thematic layers of these parameters in GIS environment were prepared. Each layer separately crossed with the spatial distribution of spring's layer and priorities of each sub layer with respect to each other in terms of frequency of spring's occurrence were determined. Finally, using the analytic hierarchy process, factors affecting the occurrence of this phenomenon and the weight of each factor was calculated by Expert Choice software. Results showed that the weight of the top layer assigned to the lithology and carbonate substrate alone formed 54% of the weight of this layer. The next layers in order of importance were including the layer of the slope and elevation classes, structural elements, lineaments, limestone contact and drainage layer. Potential map prepared by this method, match 76 percent with the spatial distribution of springs.
