Deepak Khare - Academia.edu (original) (raw)
Papers by Deepak Khare
World Environmental and Water Resources Congress 2021
Environmental Monitoring and Assessment, 2022
The systematic assessment of spatial and temporal distribution of groundwater recharge (GWR) is c... more The systematic assessment of spatial and temporal distribution of groundwater recharge (GWR) is crucial for the sustainable management of the water resources systems, especially in large-scale river basins. This helps in identifying critical zones in which GWR largely varies and thus leads to negative consequences. However, such analyses might not be possible when the models require detailed hydro-climate and hydrogeological data in data-scarce regions. Hence, this calls for alternate suitable modeling approaches that are applicable with the limited data and, however, includes the detailed assessment of the spatial–temporal distribution of different water balance components especially the GWR component. This paper aimed at investigating the spatial and temporal distribution of the GWR at monthly, seasonal and annual scales using the WetSpass-M physically distributed hydrological model, which is not requiring the detailed catchment information. In addition, the study conducted the sensitivity analysis of model parameters to assess the significant variation of GWR. The large-scale river basins such as the Omo river basin, Ethiopia, were chosen to demonstrate the potential of the WetSpass-M model under limited data conditions. From the modeling results, it was found that the maximum average monthly GWR of 13.4 mm occurs in July. The estimated average seasonal GWR is 32.5 mm/yr and 47.6 mm/yr in the summer and winter seasons, respectively. Further, it was found that GWR is highly sensitive to the parameter such as average rainfall intensity factor.
Recent Advances in Dam Engineering
Various meteorological parameters like temperature, wind speed, radiation, humidity etc. have con... more Various meteorological parameters like temperature, wind speed, radiation, humidity etc. have considerable impact on the water resources. Variation in reference evapotranspiration (ET 0) can have impact on the crop of the area. Thus it is extremely necessary to understand the ET of the region before planning and management. Landuse type, soil type etc also have strong effect on ET of a river basin. In the present study FAO56 Penman-Monteith method has been used for estimating ET 0 for entire Madhya Pradesh from 1971 to 2000. The results indicate higher ET 0 during the month of May with highest being found in Indore (11.77 mm day-1). The months from April to June have considerably high ET 0 while other months have low ET 0. Minimum rate of evapotranspiration is observed in Jabalpur during the month of December. Among the 13 stations, Pachmarhi has the lowest ET 0 even in May (6.07 mm day-1). Thus wide variation in ET 0 distribution is observed in MP which is due to the effect of othe...
Current World Environment, 2017
The paper examines the impact of climatic change on the mean temperature time series for Pre-mons... more The paper examines the impact of climatic change on the mean temperature time series for Pre-monsoon (Mar-May), Monsoon (Jun-Sept), Post-monsoon (Oct-Nov), winter (Dec-Feb) and Annual (Jan-Dec) at 45 stations in the state of Madhya Pradesh, India. Impact detection is accomplished by using the Mann-Kendall method to find out the monotonic trend and Sen’s slope is method is to identify the grandeur of trend for the period 1901 to 2005 (105 years). Prior to the trend analysis prominence of eloquent lag-1 serial correlation are eradicated from data by the pre-whitening method. In addition, shift year change has also been examined in the study using Pettitt’s test. From 45 stations, most of the station show symbolic hike trend at 5% significance level in the mean temperature time series for Madhya Pradesh region. During peak summer months the maximum temperature touches 40°C in the entire Madhya Pradesh. The magnitudes of annual increase in temperature in the majority of the stations are...
Sustainable Water Resources Management, 2017
Hydrological Sciences Journal, 2022
International Journal of Architecture, Engineering and Construction, Sep 1, 2019
Climate Change Impacts on Water Resources, 2021
Lecture Notes in Civil Engineering, 2019
Surface temperature is depending upon type of surface if surface is hard or made from concrete or... more Surface temperature is depending upon type of surface if surface is hard or made from concrete or harder matter than the temperature will be more, so it is important to study surface temperature of an urban area, with increasing urban area temperature in the central part of the city cause more air temperature, and if humidity is present, then it creates very uncomfort situation to live without any cooling system. So, the study of urban heat is mandatory to know about these types of situations in city and identify area are being in this situation [1]. This heat zone in a city center which will present in both seasons summer and winter. This situation is only uncomfort to humans in the area of earth below 32° of latitude and not in other part of world. Landsat 8 provides this facility to investigate the surface temperature using its thermal band [2]. Data collected from the thermal band is easily possible to convert into surface temperature in degree [3]. So, in this study, only year ...
The natural process and man-made activities in the watershed have influenced the climate change a... more The natural process and man-made activities in the watershed have influenced the climate change and induce the hydrology of the watershed along the temporal scale. Increase in emission of greenhouse gas into atmosphere might induce in climate pattern in future. Many researchers have been incorporated climatologicall cycle and its variability into the water resources system modelling in the recent past. Change on climate could affect the metrological parameters and which directly lead to change in irrigation water requirement in agriculture. In this study, an effort has been made to assess the impact of climate change on crop water requirement in Sunei command area (Bhudhabalang Basin) of Mayurbhanj district Odisha, India. For this study, daily meteological data like maximum temperature , minimum temperature, wind speed, sunshine hours, humidity and precipitation data are used. Crops and cropping pattern data are used for the study area. Future climate data predicate for the period 2...
2018 International Conference on Power, Instrumentation, Control and Computing (PICC), 2018
Synchronous generators (SGs) are widely used in power generating plants including hydropower as i... more Synchronous generators (SGs) are widely used in power generating plants including hydropower as it is easy to control, supports large amount of reactive power, and offers higher energy efficiency in comparison with asynchronous generators. SGs are often overloaded through hydro-turbines by utilizing excess water flow in the river (e.g. 1000 MW Kancham Wangtoo hydropower station (India) at 20% continuous overloading condition for more than six weeks). This paper investigates the efficiency of a 277.8 MVA SG, through its loss models, under two operating conditions: (i) at rated load, (ii) at 20% overload. Temperature of cooling air inlet to the stator of SG (primary cooling) and the temperature of water inlet to the cooler (secondary cooling) are considered for the analysis. Simulated results are compared with a commissioned generator through the on-site measurements. From the test results, it is observed that the cooler performance (temperature of air leaving from the cooler) was poo...
Environmental Processes, 2017
IEEE Transactions on Energy Conversion, 2017
Indian Journal of Science and Technology, 2016
Theoretical and Applied Climatology, 2016
Climate Change and Biodiversity, 2014
The climate impact studies, particularly in hydrology, often require climate information at fine ... more The climate impact studies, particularly in hydrology, often require climate information at fine scale for present as well as future scenario. Global Climate Model (GCM) estimates climate change scenarios on coarse spatial resolution. Therefore, different techniques have been evolved to downscale the coarse-grid scale GCM data to finer scale surface variables of interest. In the present study, the Statistical Downscaling Model (SDSM) has been applied to downscale daily precipitation from simulated GCM data. SDSM utilizes Multiple Linear Regression (MLR) technique. The daily precipitation data (1961–2001) representing Tawa region has been considered as input (predictand) to the model. The model has been calibrated (1961–1991) and validated (1992–2001) with screened large-scale predictors of (National Centre for Environmental Prediction (NCEP) reanalysis data. The prediction of future daily rainfall for the study area has been carried out for the period 2020s, 2050s and 2080s corresponding to HadCM3 A2 variables. The calibration and validation results confirm the SDSM model acceptability slightly at a lower degree. The results of the downscaled daily precipitation for the future period indicate an increasing trend in the mean daily precipitation.
World Environmental and Water Resources Congress 2021
Environmental Monitoring and Assessment, 2022
The systematic assessment of spatial and temporal distribution of groundwater recharge (GWR) is c... more The systematic assessment of spatial and temporal distribution of groundwater recharge (GWR) is crucial for the sustainable management of the water resources systems, especially in large-scale river basins. This helps in identifying critical zones in which GWR largely varies and thus leads to negative consequences. However, such analyses might not be possible when the models require detailed hydro-climate and hydrogeological data in data-scarce regions. Hence, this calls for alternate suitable modeling approaches that are applicable with the limited data and, however, includes the detailed assessment of the spatial–temporal distribution of different water balance components especially the GWR component. This paper aimed at investigating the spatial and temporal distribution of the GWR at monthly, seasonal and annual scales using the WetSpass-M physically distributed hydrological model, which is not requiring the detailed catchment information. In addition, the study conducted the sensitivity analysis of model parameters to assess the significant variation of GWR. The large-scale river basins such as the Omo river basin, Ethiopia, were chosen to demonstrate the potential of the WetSpass-M model under limited data conditions. From the modeling results, it was found that the maximum average monthly GWR of 13.4 mm occurs in July. The estimated average seasonal GWR is 32.5 mm/yr and 47.6 mm/yr in the summer and winter seasons, respectively. Further, it was found that GWR is highly sensitive to the parameter such as average rainfall intensity factor.
Recent Advances in Dam Engineering
Various meteorological parameters like temperature, wind speed, radiation, humidity etc. have con... more Various meteorological parameters like temperature, wind speed, radiation, humidity etc. have considerable impact on the water resources. Variation in reference evapotranspiration (ET 0) can have impact on the crop of the area. Thus it is extremely necessary to understand the ET of the region before planning and management. Landuse type, soil type etc also have strong effect on ET of a river basin. In the present study FAO56 Penman-Monteith method has been used for estimating ET 0 for entire Madhya Pradesh from 1971 to 2000. The results indicate higher ET 0 during the month of May with highest being found in Indore (11.77 mm day-1). The months from April to June have considerably high ET 0 while other months have low ET 0. Minimum rate of evapotranspiration is observed in Jabalpur during the month of December. Among the 13 stations, Pachmarhi has the lowest ET 0 even in May (6.07 mm day-1). Thus wide variation in ET 0 distribution is observed in MP which is due to the effect of othe...
Current World Environment, 2017
The paper examines the impact of climatic change on the mean temperature time series for Pre-mons... more The paper examines the impact of climatic change on the mean temperature time series for Pre-monsoon (Mar-May), Monsoon (Jun-Sept), Post-monsoon (Oct-Nov), winter (Dec-Feb) and Annual (Jan-Dec) at 45 stations in the state of Madhya Pradesh, India. Impact detection is accomplished by using the Mann-Kendall method to find out the monotonic trend and Sen’s slope is method is to identify the grandeur of trend for the period 1901 to 2005 (105 years). Prior to the trend analysis prominence of eloquent lag-1 serial correlation are eradicated from data by the pre-whitening method. In addition, shift year change has also been examined in the study using Pettitt’s test. From 45 stations, most of the station show symbolic hike trend at 5% significance level in the mean temperature time series for Madhya Pradesh region. During peak summer months the maximum temperature touches 40°C in the entire Madhya Pradesh. The magnitudes of annual increase in temperature in the majority of the stations are...
Sustainable Water Resources Management, 2017
Hydrological Sciences Journal, 2022
International Journal of Architecture, Engineering and Construction, Sep 1, 2019
Climate Change Impacts on Water Resources, 2021
Lecture Notes in Civil Engineering, 2019
Surface temperature is depending upon type of surface if surface is hard or made from concrete or... more Surface temperature is depending upon type of surface if surface is hard or made from concrete or harder matter than the temperature will be more, so it is important to study surface temperature of an urban area, with increasing urban area temperature in the central part of the city cause more air temperature, and if humidity is present, then it creates very uncomfort situation to live without any cooling system. So, the study of urban heat is mandatory to know about these types of situations in city and identify area are being in this situation [1]. This heat zone in a city center which will present in both seasons summer and winter. This situation is only uncomfort to humans in the area of earth below 32° of latitude and not in other part of world. Landsat 8 provides this facility to investigate the surface temperature using its thermal band [2]. Data collected from the thermal band is easily possible to convert into surface temperature in degree [3]. So, in this study, only year ...
The natural process and man-made activities in the watershed have influenced the climate change a... more The natural process and man-made activities in the watershed have influenced the climate change and induce the hydrology of the watershed along the temporal scale. Increase in emission of greenhouse gas into atmosphere might induce in climate pattern in future. Many researchers have been incorporated climatologicall cycle and its variability into the water resources system modelling in the recent past. Change on climate could affect the metrological parameters and which directly lead to change in irrigation water requirement in agriculture. In this study, an effort has been made to assess the impact of climate change on crop water requirement in Sunei command area (Bhudhabalang Basin) of Mayurbhanj district Odisha, India. For this study, daily meteological data like maximum temperature , minimum temperature, wind speed, sunshine hours, humidity and precipitation data are used. Crops and cropping pattern data are used for the study area. Future climate data predicate for the period 2...
2018 International Conference on Power, Instrumentation, Control and Computing (PICC), 2018
Synchronous generators (SGs) are widely used in power generating plants including hydropower as i... more Synchronous generators (SGs) are widely used in power generating plants including hydropower as it is easy to control, supports large amount of reactive power, and offers higher energy efficiency in comparison with asynchronous generators. SGs are often overloaded through hydro-turbines by utilizing excess water flow in the river (e.g. 1000 MW Kancham Wangtoo hydropower station (India) at 20% continuous overloading condition for more than six weeks). This paper investigates the efficiency of a 277.8 MVA SG, through its loss models, under two operating conditions: (i) at rated load, (ii) at 20% overload. Temperature of cooling air inlet to the stator of SG (primary cooling) and the temperature of water inlet to the cooler (secondary cooling) are considered for the analysis. Simulated results are compared with a commissioned generator through the on-site measurements. From the test results, it is observed that the cooler performance (temperature of air leaving from the cooler) was poo...
Environmental Processes, 2017
IEEE Transactions on Energy Conversion, 2017
Indian Journal of Science and Technology, 2016
Theoretical and Applied Climatology, 2016
Climate Change and Biodiversity, 2014
The climate impact studies, particularly in hydrology, often require climate information at fine ... more The climate impact studies, particularly in hydrology, often require climate information at fine scale for present as well as future scenario. Global Climate Model (GCM) estimates climate change scenarios on coarse spatial resolution. Therefore, different techniques have been evolved to downscale the coarse-grid scale GCM data to finer scale surface variables of interest. In the present study, the Statistical Downscaling Model (SDSM) has been applied to downscale daily precipitation from simulated GCM data. SDSM utilizes Multiple Linear Regression (MLR) technique. The daily precipitation data (1961–2001) representing Tawa region has been considered as input (predictand) to the model. The model has been calibrated (1961–1991) and validated (1992–2001) with screened large-scale predictors of (National Centre for Environmental Prediction (NCEP) reanalysis data. The prediction of future daily rainfall for the study area has been carried out for the period 2020s, 2050s and 2080s corresponding to HadCM3 A2 variables. The calibration and validation results confirm the SDSM model acceptability slightly at a lower degree. The results of the downscaled daily precipitation for the future period indicate an increasing trend in the mean daily precipitation.