Dipti Tiwari | Université de Sherbrooke (University of Sherbrooke) (original) (raw)
Papers by Dipti Tiwari
Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts.... more Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts. Hydrological models are a way that can enable transforming observed precipitations into stream flow. In this work a GIS based hydrologic model, SWAT is used in an Upper Narmada River basin at Patan in Jabalpur (M.P). The importance of this thesis comes due to Upper Narmada River is a river in which every year the discharge amount varies according to the weather condition. Some of the months the river is flooded and in some of the years the river is in drought condition. Due to this reason it will be very useful if we can roughly predict the runoff amount. Depending upon the river discharge amount we can decide whether there will be flood or drought condition in the watershed.The catchment area for this watershed has an approximate drainage area of 3950 km2, which is divided into 97 sub basins and 907 HRUs.SWAT model is developed to evaluate different parameters of the water resources li...
Rainfall-Runoff modeling is a mathematical representation describing the relation between rainfal... more Rainfall-Runoff modeling is a mathematical representation describing the relation between rainfall and runoff to the catchment area. The rainfall runoff process is a multifaceted process as it is influenced by a number of direct and indirect factors such as precipitation distribution, evaporation, transpiration, abstraction, and topography and soil types. Moreover, detection and quantification of spatial-temporal trends and changing patterns of rainfall and hydrological modelling is essential for water resources planning, management, flood forecasting and in many other applications. There are numerous rainfall-runoff models available according to varying nature, complexity and purpose of study area. One of these hydrological model, SWAT is widely used to evaluate different parameters of the water resources namely rainfall-runoff modelling, sedimentation, eco-hydrological behavior of the watershed SWAT model has been setup to simulate rainfall-runoff for the Chaliyar river basin at K...
International Journal of Advance Research, Ideas and Innovations in Technology, 2018
Statistic and probability plays an important role in scientific and engineering community (Ayyub ... more Statistic and probability plays an important role in scientific and engineering community (Ayyub 2011) because statistical tools help to detect spatial and temporal trends for hydrological and environmental studies. Major schemes or projects are formulated based on the historical behavior of environment under uncertain climatic conditions. Therefore, a study of trend assists to investigate the overall pattern of change over time in hydro-meteorological variables especially for water resources project on temporal and spatial scales. Rainfall has been widely considered as one of the starting point towards the apprehension of climate change courses. Various studies have indicated due to climate change, rainfall pattern is most likely to change which would have adverse impacts on lives and livelihoods of millions of people. Analysis of the general rainfall trend is vital in understanding the underlying features, for the purpose of forecasting and in identifying the changes and impacts t...
Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts.... more Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts. Hydrological models are a way that can enable transforming observed precipitations into stream flow. In this work a GIS based hydrologic model, SWAT is used in an Upper Narmada River basin at Patan in Jabalpur (M.P). The importance of this thesis comes due to Upper Narmada River is a river in which every year the discharge amount varies according to the weather condition. Some of the months the river is flooded and in some of the years the river is in drought condition. Due to this reason it will be very useful if we can roughly predict the runoff amount. Depending upon the river discharge amount we can decide whether there will be flood or drought condition in the watershed.The catchment area for this watershed has an approximate drainage area of 3950 km2, which is divided into 97 sub basins and 907 HRUs.SWAT model is developed to evaluate different parameters of the water resources li...
IJARIIT, 2018
Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts.... more Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts. Hydrological models are a way that can enable transforming observed precipitations into stream flow. In this work a GIS based hydrologic model, SWAT is used in an Upper Narmada River basin at Patan in Jabalpur (M.P). The importance of this thesis comes due to Upper Narmada River is a river in which every year the discharge amount varies according to the weather condition. Some of the months the river is flooded and in some of the years the river is in drought condition. Due to this reason it will be very useful if we can roughly predict the runoff amount. Depending upon the river discharge amount we can decide whether there will be flood or drought condition in the watershed. The catchment area for this watershed has an approximate drainage area of 3950 km2, which is divided into 97 sub basins and 907 HRUs. SWAT model is developed to evaluate different parameters of the water resources like rainfall runoff modelling, sedimentation, eco-hydrological behavior of the watershed. SWAT tool with QGIS software to simulate water runoff for PATAN Watershed in Narmada river basin. It is concluded that the value of R 2 can be considered reasonably satisfactory for estimating a watershed runoff. The value of R 2 is 0.715. The results from the SUFI-2 calibration process indicated a good performance with a PBIAS value of 12.6% and R 2 value was 0.83 indicating a good correlation between observed and simulated values. For the validation these value of R 2 and PBIAS are 0.79 and 10.6 % respectively. Results showed that the annual mean flow discharge for the period 1996 to 2005 was 612.52 m3/s which agreed with the model result which shows that the average annual basin simulation values was 524.92 m3/s for the same period. While result simulation for the period 2016 to 2050 gave 414.70 m3/s which mean there is a reduction in mean flow discharge between two periods about 20.99%.
IJARIIT, 2018
Statistic and probability play an important role in scientific and engineering community (Ayyub 2... more Statistic and probability play an important role in scientific and engineering community (Ayyub 2011) because statistical tools help to detect spatial and temporal trends for hydrological and environmental studies. Major schemes or projects are formulated based on the historical behavior of environment under uncertain climatic conditions. Therefore, a study of trend assists to investigate the overall pattern of change over time in hydro-meteorological variables especially for water resources project on temporal and spatial scales. Rainfall has been widely considered as one of the starting points towards the apprehension of climate change courses. Various studies have indicated due to climate change, rainfall pattern is most likely to change which would have adverse impacts on lives and livelihoods of millions of people. Analysis of the general rainfall trend is vital in understanding the underlying features, for the purpose of forecasting and in identifying the changes and impacts that are very crucial for an agro-based economy like the one of India. Trends in data can be identified by using either parametric or non-parametric methods, and both the methods are extensively used. Testing the significance of observed trends in hydro meteorological time series has received a great attention recently, especially in connection with climate change. The changing pattern of rainfall deserves urgent and systematic attention for planning, development, utilization, and management of water resources. In the present study, to analyze the trends of the rainfall series of each individual station, the\ popular statistical methods; simple regression method (parametric), Mann-Kendall test and Sen's estimator of slope method (non-parametric) have been applied. Among which Mann Kendall test has been used to detect the significance of the trends in the time series of the precipitation & Sen's slope estimator has been used to find out the magnitude of the detected trend.
IJARIIT, 2018
Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts.... more Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts. Hydrological models are a way that can enable transforming observed precipitations into stream flow. In this work a GIS based hydrologic model, SWAT is used in an Upper Narmada River basin at Patan in Jabalpur (M.P). The importance of this thesis comes due to Upper Narmada River is a river in which every year the discharge amount varies according to the weather condition. Some of the months the river is flooded and in some of the years the river is in drought condition. Due to this reason it will be very useful if we can roughly predict the runoff amount. Depending upon the river discharge amount we can decide whether there will be flood or drought condition in the watershed. The catchment area for this watershed has an approximate drainage area of 3950 km2, which is divided into 97 sub basins and 907 HRUs. SWAT model is developed to evaluate different parameters of the water resources like rainfall runoff modelling, sedimentation, eco-hydrological behavior of the watershed. SWAT tool with QGIS software to simulate water runoff for PATAN Watershed in Narmada river basin. It is concluded that the value of R 2 can be considered reasonably satisfactory for estimating a watershed runoff. The value of R 2 is 0.715. The results from the SUFI-2 calibration process indicated a good performance with a PBIAS value of 12.6% and R 2 value was 0.83 indicating a good correlation between observed and simulated values. For the validation these value of R 2 and PBIAS are 0.79 and 10.6 % respectively. Results showed that the annual mean flow discharge for the period 1996 to 2005 was 612.52 m3/s which agreed with the model result which shows that the average annual basin simulation values was 524.92 m3/s for the same period. While result simulation for the period 2016 to 2050 gave 414.70 m3/s which mean there is a reduction in mean flow discharge between two periods about 20.99%.
IJSR, 2019
Rainfall-Runoff modeling is a mathematical representation describing the relation between rainfal... more Rainfall-Runoff modeling is a mathematical representation describing the relation between rainfall and runoff to the catchment area. The rainfall runoff process is a multifaceted process as it is influenced by a number of direct and indirect factors such as precipitation distribution, evaporation, transpiration, abstraction, and topography and soil types. Moreover, detection and quantification of spatial-temporal trends and changing patterns of rainfall and hydrological modelling is essential for water resources planning, management, flood forecasting and in many other applications. There are numerous rainfall-runoff models available according to varying nature, complexity and purpose of study area. One of these hydrological model, SWAT is widely used to evaluate different parameters of the water resources namely rainfall-runoff modelling, sedimentation, eco-hydrological behavior of the watershed SWAT model has been setup to simulate rainfall-runoff for the Chaliyar river basin at Kuniyil with a catchment area of 2013.4 km².The basin was discretized into 15 sub-basin using an automated delineation routine with an input spatial data of DEM, land use/land cover, soil and slope of the Chaliyar basin. There were 103 Hydrologic Response Unit (HRUs) generated for the entire river basin. In the present study, rainfall trend analysis conducted at four different stations experienced a statistically insignificant increasing and decreasing trends for the period of 1991 to 2011. The model efficiency (R2) value obtained was 0.69, which is considered reasonably satisfactory for estimating a basin runoff. After getting good efficacy of SWAT-run, SWAT-CUP was used to calibrate and validated the model. The SWAT model has been calibrated using daily data of 4 years (2003-2007) and validated for 4 years (2008-2011) considering 2 years of data (2001-2002) for warm up period. The model yielded satisfactory and reliable results with coefficient of determination and Nash-Sutcliffe Efficiency 0.77% & 0.75 % for calibration and 0.77% and 0.73% respectively for validation period.
Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts.... more Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts. Hydrological models are a way that can enable transforming observed precipitations into stream flow. In this work a GIS based hydrologic model, SWAT is used in an Upper Narmada River basin at Patan in Jabalpur (M.P). The importance of this thesis comes due to Upper Narmada River is a river in which every year the discharge amount varies according to the weather condition. Some of the months the river is flooded and in some of the years the river is in drought condition. Due to this reason it will be very useful if we can roughly predict the runoff amount. Depending upon the river discharge amount we can decide whether there will be flood or drought condition in the watershed.The catchment area for this watershed has an approximate drainage area of 3950 km2, which is divided into 97 sub basins and 907 HRUs.SWAT model is developed to evaluate different parameters of the water resources li...
Rainfall-Runoff modeling is a mathematical representation describing the relation between rainfal... more Rainfall-Runoff modeling is a mathematical representation describing the relation between rainfall and runoff to the catchment area. The rainfall runoff process is a multifaceted process as it is influenced by a number of direct and indirect factors such as precipitation distribution, evaporation, transpiration, abstraction, and topography and soil types. Moreover, detection and quantification of spatial-temporal trends and changing patterns of rainfall and hydrological modelling is essential for water resources planning, management, flood forecasting and in many other applications. There are numerous rainfall-runoff models available according to varying nature, complexity and purpose of study area. One of these hydrological model, SWAT is widely used to evaluate different parameters of the water resources namely rainfall-runoff modelling, sedimentation, eco-hydrological behavior of the watershed SWAT model has been setup to simulate rainfall-runoff for the Chaliyar river basin at K...
International Journal of Advance Research, Ideas and Innovations in Technology, 2018
Statistic and probability plays an important role in scientific and engineering community (Ayyub ... more Statistic and probability plays an important role in scientific and engineering community (Ayyub 2011) because statistical tools help to detect spatial and temporal trends for hydrological and environmental studies. Major schemes or projects are formulated based on the historical behavior of environment under uncertain climatic conditions. Therefore, a study of trend assists to investigate the overall pattern of change over time in hydro-meteorological variables especially for water resources project on temporal and spatial scales. Rainfall has been widely considered as one of the starting point towards the apprehension of climate change courses. Various studies have indicated due to climate change, rainfall pattern is most likely to change which would have adverse impacts on lives and livelihoods of millions of people. Analysis of the general rainfall trend is vital in understanding the underlying features, for the purpose of forecasting and in identifying the changes and impacts t...
Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts.... more Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts. Hydrological models are a way that can enable transforming observed precipitations into stream flow. In this work a GIS based hydrologic model, SWAT is used in an Upper Narmada River basin at Patan in Jabalpur (M.P). The importance of this thesis comes due to Upper Narmada River is a river in which every year the discharge amount varies according to the weather condition. Some of the months the river is flooded and in some of the years the river is in drought condition. Due to this reason it will be very useful if we can roughly predict the runoff amount. Depending upon the river discharge amount we can decide whether there will be flood or drought condition in the watershed.The catchment area for this watershed has an approximate drainage area of 3950 km2, which is divided into 97 sub basins and 907 HRUs.SWAT model is developed to evaluate different parameters of the water resources li...
IJARIIT, 2018
Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts.... more Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts. Hydrological models are a way that can enable transforming observed precipitations into stream flow. In this work a GIS based hydrologic model, SWAT is used in an Upper Narmada River basin at Patan in Jabalpur (M.P). The importance of this thesis comes due to Upper Narmada River is a river in which every year the discharge amount varies according to the weather condition. Some of the months the river is flooded and in some of the years the river is in drought condition. Due to this reason it will be very useful if we can roughly predict the runoff amount. Depending upon the river discharge amount we can decide whether there will be flood or drought condition in the watershed. The catchment area for this watershed has an approximate drainage area of 3950 km2, which is divided into 97 sub basins and 907 HRUs. SWAT model is developed to evaluate different parameters of the water resources like rainfall runoff modelling, sedimentation, eco-hydrological behavior of the watershed. SWAT tool with QGIS software to simulate water runoff for PATAN Watershed in Narmada river basin. It is concluded that the value of R 2 can be considered reasonably satisfactory for estimating a watershed runoff. The value of R 2 is 0.715. The results from the SUFI-2 calibration process indicated a good performance with a PBIAS value of 12.6% and R 2 value was 0.83 indicating a good correlation between observed and simulated values. For the validation these value of R 2 and PBIAS are 0.79 and 10.6 % respectively. Results showed that the annual mean flow discharge for the period 1996 to 2005 was 612.52 m3/s which agreed with the model result which shows that the average annual basin simulation values was 524.92 m3/s for the same period. While result simulation for the period 2016 to 2050 gave 414.70 m3/s which mean there is a reduction in mean flow discharge between two periods about 20.99%.
IJARIIT, 2018
Statistic and probability play an important role in scientific and engineering community (Ayyub 2... more Statistic and probability play an important role in scientific and engineering community (Ayyub 2011) because statistical tools help to detect spatial and temporal trends for hydrological and environmental studies. Major schemes or projects are formulated based on the historical behavior of environment under uncertain climatic conditions. Therefore, a study of trend assists to investigate the overall pattern of change over time in hydro-meteorological variables especially for water resources project on temporal and spatial scales. Rainfall has been widely considered as one of the starting points towards the apprehension of climate change courses. Various studies have indicated due to climate change, rainfall pattern is most likely to change which would have adverse impacts on lives and livelihoods of millions of people. Analysis of the general rainfall trend is vital in understanding the underlying features, for the purpose of forecasting and in identifying the changes and impacts that are very crucial for an agro-based economy like the one of India. Trends in data can be identified by using either parametric or non-parametric methods, and both the methods are extensively used. Testing the significance of observed trends in hydro meteorological time series has received a great attention recently, especially in connection with climate change. The changing pattern of rainfall deserves urgent and systematic attention for planning, development, utilization, and management of water resources. In the present study, to analyze the trends of the rainfall series of each individual station, the\ popular statistical methods; simple regression method (parametric), Mann-Kendall test and Sen's estimator of slope method (non-parametric) have been applied. Among which Mann Kendall test has been used to detect the significance of the trends in the time series of the precipitation & Sen's slope estimator has been used to find out the magnitude of the detected trend.
IJARIIT, 2018
Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts.... more Future runoff prediction is linked to a prior knowledge of future probable precipitation amounts. Hydrological models are a way that can enable transforming observed precipitations into stream flow. In this work a GIS based hydrologic model, SWAT is used in an Upper Narmada River basin at Patan in Jabalpur (M.P). The importance of this thesis comes due to Upper Narmada River is a river in which every year the discharge amount varies according to the weather condition. Some of the months the river is flooded and in some of the years the river is in drought condition. Due to this reason it will be very useful if we can roughly predict the runoff amount. Depending upon the river discharge amount we can decide whether there will be flood or drought condition in the watershed. The catchment area for this watershed has an approximate drainage area of 3950 km2, which is divided into 97 sub basins and 907 HRUs. SWAT model is developed to evaluate different parameters of the water resources like rainfall runoff modelling, sedimentation, eco-hydrological behavior of the watershed. SWAT tool with QGIS software to simulate water runoff for PATAN Watershed in Narmada river basin. It is concluded that the value of R 2 can be considered reasonably satisfactory for estimating a watershed runoff. The value of R 2 is 0.715. The results from the SUFI-2 calibration process indicated a good performance with a PBIAS value of 12.6% and R 2 value was 0.83 indicating a good correlation between observed and simulated values. For the validation these value of R 2 and PBIAS are 0.79 and 10.6 % respectively. Results showed that the annual mean flow discharge for the period 1996 to 2005 was 612.52 m3/s which agreed with the model result which shows that the average annual basin simulation values was 524.92 m3/s for the same period. While result simulation for the period 2016 to 2050 gave 414.70 m3/s which mean there is a reduction in mean flow discharge between two periods about 20.99%.
IJSR, 2019
Rainfall-Runoff modeling is a mathematical representation describing the relation between rainfal... more Rainfall-Runoff modeling is a mathematical representation describing the relation between rainfall and runoff to the catchment area. The rainfall runoff process is a multifaceted process as it is influenced by a number of direct and indirect factors such as precipitation distribution, evaporation, transpiration, abstraction, and topography and soil types. Moreover, detection and quantification of spatial-temporal trends and changing patterns of rainfall and hydrological modelling is essential for water resources planning, management, flood forecasting and in many other applications. There are numerous rainfall-runoff models available according to varying nature, complexity and purpose of study area. One of these hydrological model, SWAT is widely used to evaluate different parameters of the water resources namely rainfall-runoff modelling, sedimentation, eco-hydrological behavior of the watershed SWAT model has been setup to simulate rainfall-runoff for the Chaliyar river basin at Kuniyil with a catchment area of 2013.4 km².The basin was discretized into 15 sub-basin using an automated delineation routine with an input spatial data of DEM, land use/land cover, soil and slope of the Chaliyar basin. There were 103 Hydrologic Response Unit (HRUs) generated for the entire river basin. In the present study, rainfall trend analysis conducted at four different stations experienced a statistically insignificant increasing and decreasing trends for the period of 1991 to 2011. The model efficiency (R2) value obtained was 0.69, which is considered reasonably satisfactory for estimating a basin runoff. After getting good efficacy of SWAT-run, SWAT-CUP was used to calibrate and validated the model. The SWAT model has been calibrated using daily data of 4 years (2003-2007) and validated for 4 years (2008-2011) considering 2 years of data (2001-2002) for warm up period. The model yielded satisfactory and reliable results with coefficient of determination and Nash-Sutcliffe Efficiency 0.77% & 0.75 % for calibration and 0.77% and 0.73% respectively for validation period.