Pub Date : 2019-05-02DOI: 10.1504/IJW.2019.10020973
A. Halefom, Asirat Teshome, Ermias Sisay
Land use/land cover (LU/LC) detection on climate variability has been conducted using satellite image and weather data in the study area. LU/LC analysis was done using supervised classification and the categories used were built-up area, forest, grassland, agriculture and waterbody. From the analysis, built-up area is shown as increasing from 1997 to 2017. Climate variability assessment done using the Mann-Kendall and Sen's slope estimator shows that average annual maximum temperature and mean temperature have positive trends, average annual minimum temperature shows a decreasing trend. Annual rainfall showed positive trend in the Bega season and decreasing trends in, Belg season and Kiremt season. Percentage changes were observed as 0.4%, 2.4% and 2.6% for average annual minimum, maximum and average annual temperature, respectively. Average annual rainfall, in Bega season, Belg season and Kiremt seasons was −1.7%, 3.5%, 6.5% and −6.4% respectively. Hence percentage changes show LU/LC change affects climate.
{"title":"Impacts of land use/land cover detection on climate variability of Gumara Watershed, Ethiopia","authors":"A. Halefom, Asirat Teshome, Ermias Sisay","doi":"10.1504/IJW.2019.10020973","DOIUrl":"https://doi.org/10.1504/IJW.2019.10020973","url":null,"abstract":"Land use/land cover (LU/LC) detection on climate variability has been conducted using satellite image and weather data in the study area. LU/LC analysis was done using supervised classification and the categories used were built-up area, forest, grassland, agriculture and waterbody. From the analysis, built-up area is shown as increasing from 1997 to 2017. Climate variability assessment done using the Mann-Kendall and Sen's slope estimator shows that average annual maximum temperature and mean temperature have positive trends, average annual minimum temperature shows a decreasing trend. Annual rainfall showed positive trend in the Bega season and decreasing trends in, Belg season and Kiremt season. Percentage changes were observed as 0.4%, 2.4% and 2.6% for average annual minimum, maximum and average annual temperature, respectively. Average annual rainfall, in Bega season, Belg season and Kiremt seasons was −1.7%, 3.5%, 6.5% and −6.4% respectively. Hence percentage changes show LU/LC change affects climate.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42723885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In Australia, flood risk mitigation and response has followed an ad hoc development trajectory starting largely with structural measures such as levees and later non-structural approaches such as planning and regulation. These have proved largely ineffective in reducing the exposure of towns and rural populations to flood risk and damage over time. This paper explores the possible implementation of blue-green infrastructure (BGI) approaches as a new, alternative method to reduce flood volume and rainfall runoff in regional Australia. It outlines a case study example in rural Victoria that is subject to regular and damaging floods where the possible introduction of BGI has been modelled. Different types of BGI components - bio-retention cell, rain barrel, infiltration trench, and vegetative swale - were examined and the results indicate that developing BGI systems in a regional Australian context provide multi-functional and cost-effective solutions to flooding that will support adaptation to future climate changes.
{"title":"Modelling the impacts of blue-green infrastructure on rainfall runoff: a case study of Eastern Victoria, Australia","authors":"Z. Ghofrani, V. Sposito, R. Faggian","doi":"10.1504/IJW.2019.099514","DOIUrl":"https://doi.org/10.1504/IJW.2019.099514","url":null,"abstract":"In Australia, flood risk mitigation and response has followed an ad hoc development trajectory starting largely with structural measures such as levees and later non-structural approaches such as planning and regulation. These have proved largely ineffective in reducing the exposure of towns and rural populations to flood risk and damage over time. This paper explores the possible implementation of blue-green infrastructure (BGI) approaches as a new, alternative method to reduce flood volume and rainfall runoff in regional Australia. It outlines a case study example in rural Victoria that is subject to regular and damaging floods where the possible introduction of BGI has been modelled. Different types of BGI components - bio-retention cell, rain barrel, infiltration trench, and vegetative swale - were examined and the results indicate that developing BGI systems in a regional Australian context provide multi-functional and cost-effective solutions to flooding that will support adaptation to future climate changes.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJW.2019.099514","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43823467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Predicting future water demands is becoming essential for the efficient management of water supply systems (WSS). To improve the operations of a Portuguese network, short-term water demand forecasting models are applied to a number of datasets collected from distinct locations in the network. Traditional forecasting models, such as exponential smoothing and naive models, and artificial neural network (ANN)-based models are developed and compared. Additionally, the influence of anthropic and weather variables in the ANN-based models is also analysed. Results demonstrate that, for this case-study, ANN-based models outperform the traditional models when external predictors such as anthropic and weather variables are included in the models. However, the inappropriate choice of such variables may lead to worse forecasting performances.
{"title":"Short-term forecasting of hourly water demands - a Portuguese case study","authors":"B. Coelho, A. Andrade-Campos","doi":"10.1504/IJW.2019.099515","DOIUrl":"https://doi.org/10.1504/IJW.2019.099515","url":null,"abstract":"Predicting future water demands is becoming essential for the efficient management of water supply systems (WSS). To improve the operations of a Portuguese network, short-term water demand forecasting models are applied to a number of datasets collected from distinct locations in the network. Traditional forecasting models, such as exponential smoothing and naive models, and artificial neural network (ANN)-based models are developed and compared. Additionally, the influence of anthropic and weather variables in the ANN-based models is also analysed. Results demonstrate that, for this case-study, ANN-based models outperform the traditional models when external predictors such as anthropic and weather variables are included in the models. However, the inappropriate choice of such variables may lead to worse forecasting performances.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJW.2019.099515","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48522454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-02DOI: 10.1504/IJW.2019.10020977
A. K. Kar, K. Gupta, Joygopal Jena, D. Jena
The Mahanadi basin having a large catchment faces hydro-climatic variations. In this study entire catchment of Mahanadi is divided into 10 x 10 grids. Those grids are considered which are covering either fully or partly the basin catchment (at least 25% or more). The gridwise rainfall data are analysed for each flood between 1958-2004. At least 15 days daily rainfall of all the grids prior to a particular flood is considered to find the vulnerable grid for that particular flood. These grids are further analysed statistically to find the possible reasons for occurrence of floods. No increasing trend in rainfall is found over the grids. It is also observed that the decrease in rainy days and more rainfalls in a short period of time remain the reasons for formation of peak floods at the delta. Besides that higher one-day maximum rainfall also makes a concern for floods.
Mahanadi盆地有一个大的集水区，面临着水文气候变化。在本研究中，Mahanadi的整个集水区被划分为10 x 10个网格。这些网格被视为完全或部分覆盖流域集水区（至少25%或以上）。对1958-2004年期间每一次洪水的网格降雨量数据进行了分析。在特定洪水发生前，所有网格的日降雨量至少为15天，以确定该特定洪水的脆弱网格。对这些网格进行进一步的统计分析，以找出洪水发生的可能原因。网格上的降雨量没有增加的趋势。还观察到，降雨天数的减少和短时间内降雨量的增加仍然是三角洲形成洪峰的原因。此外，更高的单日最大降雨量也引起了洪水的担忧。
{"title":"Identification of flood vulnerable zones in Mahanadi delta based on post-Hirakud historical data","authors":"A. K. Kar, K. Gupta, Joygopal Jena, D. Jena","doi":"10.1504/IJW.2019.10020977","DOIUrl":"https://doi.org/10.1504/IJW.2019.10020977","url":null,"abstract":"The Mahanadi basin having a large catchment faces hydro-climatic variations. In this study entire catchment of Mahanadi is divided into 10 x 10 grids. Those grids are considered which are covering either fully or partly the basin catchment (at least 25% or more). The gridwise rainfall data are analysed for each flood between 1958-2004. At least 15 days daily rainfall of all the grids prior to a particular flood is considered to find the vulnerable grid for that particular flood. These grids are further analysed statistically to find the possible reasons for occurrence of floods. No increasing trend in rainfall is found over the grids. It is also observed that the decrease in rainy days and more rainfalls in a short period of time remain the reasons for formation of peak floods at the delta. Besides that higher one-day maximum rainfall also makes a concern for floods.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42982331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-02DOI: 10.1504/IJW.2019.10020974
F. Santucci, Bahman Khosravi Pour, Mansour Ghanian, A. Bakhshi, L. Cecchini
This paper analyses the influence of socio-economic and structural factors on the knowledge about sustainable groundwater management (SGWM) among farmers in Iran. 189 wheat producers have been interviewed during summer 2017 in the South Khorasan province. The dependent variable (TK, total knowledge) has been constructed through the answers to 18 questions, defined as pk, partial knowledge. The model includes 12 independent variables, which affect TK, and cover both socio-economic and structural aspects, like age, education, income, knowledge about drought, relationship with the local advisory service, water rights, irrigation method, area with wheat, wheat total production, and fragmentation. The results show that there is a correlation, sometimes positive and sometimes negative, between all independent variables and SGWM. Participation in extension meetings, total wheat production, and family income show the strongest positive correlations. A multiple linear regression has been then applied to estimate the influence of the variables on the farmers' total knowledge regarding SGWM. The results show that 45.0% of the total knowledge variance is determined by the independent variables used in the model.
{"title":"Factors influencing farmers' knowledge about sustainable groundwater management","authors":"F. Santucci, Bahman Khosravi Pour, Mansour Ghanian, A. Bakhshi, L. Cecchini","doi":"10.1504/IJW.2019.10020974","DOIUrl":"https://doi.org/10.1504/IJW.2019.10020974","url":null,"abstract":"This paper analyses the influence of socio-economic and structural factors on the knowledge about sustainable groundwater management (SGWM) among farmers in Iran. 189 wheat producers have been interviewed during summer 2017 in the South Khorasan province. The dependent variable (TK, total knowledge) has been constructed through the answers to 18 questions, defined as pk, partial knowledge. The model includes 12 independent variables, which affect TK, and cover both socio-economic and structural aspects, like age, education, income, knowledge about drought, relationship with the local advisory service, water rights, irrigation method, area with wheat, wheat total production, and fragmentation. The results show that there is a correlation, sometimes positive and sometimes negative, between all independent variables and SGWM. Participation in extension meetings, total wheat production, and family income show the strongest positive correlations. A multiple linear regression has been then applied to estimate the influence of the variables on the farmers' total knowledge regarding SGWM. The results show that 45.0% of the total knowledge variance is determined by the independent variables used in the model.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45858733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-16DOI: 10.1504/IJW.2019.10018440
Zouheira Ibn Ali, A. Gharbi, A. Kallel, Lamia Laajili Ghzel, M. Zairi
This paper describes a methodology to estimate the groundwater artificial recharge efficiency. The water table fluctuation method (WTF), stream-flow (SF) estimation method and Hydrus-1D model are used to estimate the effective water quantity reaching the aquifer. The efficiency of the stream flooding on groundwater level trend was discussed based on groundwater table fluctuation. The comparison between the three methods is found to be valuable for determining the range of plausible recharge amounts and for highlighting the uncertainty of the estimates. SF method yields the largest recharge estimate whereas the WTF method provides actual recharge reaching the aquifer. SF method and Hydrus-1D model show the best fit between estimated recharge volume and water volume released with a coefficient-of-determination (R2) of 0.9 and 0.8, respectively. The combination of the stream flow with water-table fluctuations methods is recommended to increase the constancy of recharge estimates and preliminary assessment.
{"title":"Efficiency of the groundwater artificial recharge from dam water release in arid area","authors":"Zouheira Ibn Ali, A. Gharbi, A. Kallel, Lamia Laajili Ghzel, M. Zairi","doi":"10.1504/IJW.2019.10018440","DOIUrl":"https://doi.org/10.1504/IJW.2019.10018440","url":null,"abstract":"This paper describes a methodology to estimate the groundwater artificial recharge efficiency. The water table fluctuation method (WTF), stream-flow (SF) estimation method and Hydrus-1D model are used to estimate the effective water quantity reaching the aquifer. The efficiency of the stream flooding on groundwater level trend was discussed based on groundwater table fluctuation. The comparison between the three methods is found to be valuable for determining the range of plausible recharge amounts and for highlighting the uncertainty of the estimates. SF method yields the largest recharge estimate whereas the WTF method provides actual recharge reaching the aquifer. SF method and Hydrus-1D model show the best fit between estimated recharge volume and water volume released with a coefficient-of-determination (R2) of 0.9 and 0.8, respectively. The combination of the stream flow with water-table fluctuations methods is recommended to increase the constancy of recharge estimates and preliminary assessment.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44199078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-16DOI: 10.1504/IJW.2019.10018442
Jing Zhang, Zhan Liang
In this study, based on the continuous measurement of soil water content and meteorological parameters, the HYDRUS-3D model was used to simulate the dynamic changes of soil moisture in different soil layers (1050 cm soil depth) under two typical vegetation covers [alluvial wetland forest (AWF) and ungrazed Bahia grassland (UBG)] in wet and dry seasons in the Alafia River Basin, Florida. Model performance was evaluated using several statistical criteria. Water balance and parameter sensitivity were analysed to indicate the adaptability of the model to the study area. Furthermore, soil moisture variation was assessed under different rainfall levels and its relationships with vegetation type, root biomass and soil physical characteristics were quantitatively and qualitatively analysed. Results showed that the correlation degree between the measured and simulated values of soil water content in the wet and dry periods was higher in the AWF than in the UBG. The water reserves of the UBG were relatively stable. The most sensitive parameters of the model to simulate soil moisture were saturated water content and pore size index. There were significant differences in soil water variation between the two vegetation types. The effect of precipitation on soil moisture was higher under AWF than under UBG.
{"title":"Soil moisture dynamics and response to rainfall under two typical vegetation covers based on HYDRUS-3D","authors":"Jing Zhang, Zhan Liang","doi":"10.1504/IJW.2019.10018442","DOIUrl":"https://doi.org/10.1504/IJW.2019.10018442","url":null,"abstract":"In this study, based on the continuous measurement of soil water content and meteorological parameters, the HYDRUS-3D model was used to simulate the dynamic changes of soil moisture in different soil layers (1050 cm soil depth) under two typical vegetation covers [alluvial wetland forest (AWF) and ungrazed Bahia grassland (UBG)] in wet and dry seasons in the Alafia River Basin, Florida. Model performance was evaluated using several statistical criteria. Water balance and parameter sensitivity were analysed to indicate the adaptability of the model to the study area. Furthermore, soil moisture variation was assessed under different rainfall levels and its relationships with vegetation type, root biomass and soil physical characteristics were quantitatively and qualitatively analysed. Results showed that the correlation degree between the measured and simulated values of soil water content in the wet and dry periods was higher in the AWF than in the UBG. The water reserves of the UBG were relatively stable. The most sensitive parameters of the model to simulate soil moisture were saturated water content and pore size index. There were significant differences in soil water variation between the two vegetation types. The effect of precipitation on soil moisture was higher under AWF than under UBG.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43106074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-16DOI: 10.1504/IJW.2019.10018443
M. Heydarizad
This study is the first comprehensive hydrochemical investigation of 25 rivers in Khorasan Razavi, the second most populated province in Iran. Surface water provides the dominant part of agricultural water in this province. The results of this study demonstrated that rock weathering is the dominant factor controlling water quality in river samples. Stable isotopes (δ18O and δ2H) also demonstrated that river samples were mainly plotted below Mashahd Meteoric Water Line (MMWL), with negligible deviation due to low evaporation effect. However, dam reservoir samples showed notable deviation from MMWL due to huge surface evaporation. River water in all stations is considered appropriate for agricultural proposes based on Wilcox diagram and residual carbonate index, and also for potable usages (except for a few stations) according to World Health Organization protocols. The results of this study can be used by the scientists in Iran Ministry of Agriculture for the future agricultural management programs.
{"title":"Hydrochemical characteristics of inland rivers in Khorasan Razavi Province, North-Eastern Iran","authors":"M. Heydarizad","doi":"10.1504/IJW.2019.10018443","DOIUrl":"https://doi.org/10.1504/IJW.2019.10018443","url":null,"abstract":"This study is the first comprehensive hydrochemical investigation of 25 rivers in Khorasan Razavi, the second most populated province in Iran. Surface water provides the dominant part of agricultural water in this province. The results of this study demonstrated that rock weathering is the dominant factor controlling water quality in river samples. Stable isotopes (δ18O and δ2H) also demonstrated that river samples were mainly plotted below Mashahd Meteoric Water Line (MMWL), with negligible deviation due to low evaporation effect. However, dam reservoir samples showed notable deviation from MMWL due to huge surface evaporation. River water in all stations is considered appropriate for agricultural proposes based on Wilcox diagram and residual carbonate index, and also for potable usages (except for a few stations) according to World Health Organization protocols. The results of this study can be used by the scientists in Iran Ministry of Agriculture for the future agricultural management programs.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43253994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-16DOI: 10.1504/IJW.2019.10018444
A. Yilmaz, A. Shabib
Climate change has significant effects on hydrological cycle and water resources. Sharjah City in the United Arab Emirates (UAE) is located in one of the most water-scarce regions of the world. Despite the importance of climate change projection and impact studies, those studies specifically for Sharjah City are rare. In this study, first, monthly rainfall and temperature projections were generated for near and far future. Then, trend analysis was conducted to detect trends in future rainfall and temperature projections for Sharjah City. Findings of this study showed that mean air temperature in Sharjah City is expected to rise up to 12-17% for near and far future respectively, whereas average annual rainfall is projected to decrease in the range of 1-53%. Trend analysis showed significant increasing air temperature trends and non-significant decreasing rainfall trends. This study will contribute to climate change impact and policy making studies in Sharjah City.
{"title":"Rainfall and air temperature projections for Sharjah City, United Arab Emirates","authors":"A. Yilmaz, A. Shabib","doi":"10.1504/IJW.2019.10018444","DOIUrl":"https://doi.org/10.1504/IJW.2019.10018444","url":null,"abstract":"Climate change has significant effects on hydrological cycle and water resources. Sharjah City in the United Arab Emirates (UAE) is located in one of the most water-scarce regions of the world. Despite the importance of climate change projection and impact studies, those studies specifically for Sharjah City are rare. In this study, first, monthly rainfall and temperature projections were generated for near and far future. Then, trend analysis was conducted to detect trends in future rainfall and temperature projections for Sharjah City. Findings of this study showed that mean air temperature in Sharjah City is expected to rise up to 12-17% for near and far future respectively, whereas average annual rainfall is projected to decrease in the range of 1-53%. Trend analysis showed significant increasing air temperature trends and non-significant decreasing rainfall trends. This study will contribute to climate change impact and policy making studies in Sharjah City.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47277078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-16DOI: 10.1504/IJW.2019.10018434
J. Holub, P. Pech, M. Kuráz, P. Máca, D. Kahuda
Pumping test is a fundamental method to determinate aquifer hydraulic parameters. The main evaluated hydraulic parameters are the transmissivity and the aquifer storage coefficient. For estimation of these parameters a semi-logarithmic straight line method is commonly used, which is based on the assumptions of the Theis mathematical model. Nevertheless, there are other parameters corresponding to real conditions during the pumping test, such as the skin effect and the wellbore storage. The evaluation of pumping test data is usually carried out by estimation through curve matching a straight line to drawdown data plotted on a semi-log graph. Neglecting the skin effect and the wellbore storage can lead to false analysis of the time-drawdown variation in the pumping well. Here an evaluation method is developed to estimate the transmissivity, the aquifer storage coefficient, skin effect and wellbore storage from the pumping test data showing this characteristic curve shape.
{"title":"Evaluation of a pumping test with skin effect and wellbore storage on a confined aquifer in the Bela Crkva, Serbia","authors":"J. Holub, P. Pech, M. Kuráz, P. Máca, D. Kahuda","doi":"10.1504/IJW.2019.10018434","DOIUrl":"https://doi.org/10.1504/IJW.2019.10018434","url":null,"abstract":"Pumping test is a fundamental method to determinate aquifer hydraulic parameters. The main evaluated hydraulic parameters are the transmissivity and the aquifer storage coefficient. For estimation of these parameters a semi-logarithmic straight line method is commonly used, which is based on the assumptions of the Theis mathematical model. Nevertheless, there are other parameters corresponding to real conditions during the pumping test, such as the skin effect and the wellbore storage. The evaluation of pumping test data is usually carried out by estimation through curve matching a straight line to drawdown data plotted on a semi-log graph. Neglecting the skin effect and the wellbore storage can lead to false analysis of the time-drawdown variation in the pumping well. Here an evaluation method is developed to estimate the transmissivity, the aquifer storage coefficient, skin effect and wellbore storage from the pumping test data showing this characteristic curve shape.","PeriodicalId":39788,"journal":{"name":"International Journal of Water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44879928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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