
Ravindra V. Kale- PhD (Hydrology)
- Researcher at National Institute of Hydrology
Ravindra V. Kale
- PhD (Hydrology)
- Researcher at National Institute of Hydrology
About
38
Publications
15,986
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280
Citations
Introduction
Dr. Ravindra Vitthal Kale is an Scientist at National Institute of Hydrology, Roorkee. He has more than 13 years of research experience in the fields of hydrology and hydraulics dealing with Surface water assessment using deterministic, conceptual & Remote Sensing approaches; Irrigation Management; Integrated Water Resources Management involving Eco-hydrology & Climate Change; Spring Hydrology, Disaster Risk Assessment & Management; Soft-computing technqiues in hydrology etc.
Current institution
Additional affiliations
January 2018 - March 2020
WHRC NIH Jammu
Position
- Researcher
Description
- Research activities in Hydrology
April 2016 - December 2017
National Institute of Hydrology Roorkee
Position
- Researcher
January 2014 - March 2016
National Institute of Hydrology Roorkee
Position
- Researcher
Publications
Publications (38)
Land Use and Land Cover (LULC) are used to map the natural features and human activities of a landscape for any given time frame. It is necessary to continuously monitor the changes in LULC for the effective management of natural resources to comprehend the various effects of climate change. The remote sensing techniques is used to explore, map, an...
Traditional flood models often address either coastal or inland flooding separately, making comprehensive flood prediction challenging. This study presents an integrated framework that combines coastal and inland hydrodynamics, including tides, storm-surges, waves, and river flooding, to improve flood prediction in deltaic regions. The framework li...
Coastal regions are vulnerable to flood risks due to the combined effects of storm surges, riverine flooding, upstream reservoir releases, and inland rainfall. Traditional models often fail to integrate these critical factors, leading to inaccuracies in flood extent forecasting. This study addresses this gap by developing a comprehensive coastal fl...
Modelling streamflow in snow-covered mountainous regions with complex hydrology and topography poses a significant challenge, particularly given the pronounced influence of temperature lapse rate (TLAPS) and precipitation lapse rate (PLAPS). The Present study area covers 54,990 km2 in the western Himalayas, including the Tibetan Plateau and the Ind...
This study delves into the analysis of recession characteristics of spring base flow, focusing on the Hill Campus Spring (elevation of approximately 2,150 m) and Fakua spring (elevation of approximately 1,850 m) in the Tehri Garhwal district of Uttarakhand, India. Spanning from January 1999 to December 2004, discharge data from G.B. Pant University...
Coastal flood is one of the most destructive natural hazards, caused due to extreme precipitation, tropical cyclone causing storm surge or tsunami and/or faulty landscape management. Safeguarding the established human settlements, infrastructure, natural environment and biota against recurrent floods is very important. Changes in Land Use Land Cove...
Nowadays, most of the urban cities and their surrounding ambiances are facing increasing
flooding issues. Many times, the cause of urban flooding is improper drainage under increasing rainfall intensity. To properly monitor and manage the drainage system in urban areas, highresolution rainfall data is required to model the flooding scenarios a prio...
The use of Aquifers as a source of water supply is increasing on a global scale, leading to over-exploitation of available groundwater blocks. Thus, there is an increasing demand for checking the groundwater levels for better and sustainable management of groundwater resources. To acquire knowledge about the factors affecting the entire groundwater...
Land use land cover (LULC) change analysis emerged as one of the most significant factors which assist decision makers to ensure sustainable development and to understand the dynamics of our changing environment. An integrated approach of remote sensing and GIS has been used to study the land use land cover dynamics of the Western Doon Valley, Utta...
Groundwater is an essential natural resource in the
country to fulfil the irrigation, domestic, industrial
and other needs. In order to ensure sustainable use of
groundwater resources, the groundwater level is used
as an important indicator for balancing the groundwater withdrawal rate and replenishment rate through
the recharge. Quantitatively, th...
The Bundelkhand region in Central India is facing several environmental issues since the last decade including recurrent droughts, dominant land use changes due to many influencing factors including over exploitation of the natural resources and its degradation, climatic variability and decreased agricultural productivity. The agriculture of the re...
Estimation of surface runoff in a watershed based on the rainfall received is important in hydrologic studies. In the present study, the rainfall-runoff simulation model has been developed for Sutlej river basin situated in Northern India using HEC-HMS (USACE, 2017). A total of 12 years (1996-2007) hydrological data has been given as an input to th...
Hydrologists are mainly concerned with evaluation of catchment response in order to plan, develop, manage and operate various water resources schemes. There is continuous circulation of water between earth and atmosphere. This is signified by different phases in the
“Hydrologic Cycle” which is the fundamental principle of hydrology. The hydrologica...
A distributed physically based variable parameter Muskingum discharge routing (VPMD) method, which is derived directly from the Saint-Venant equations (SVE) considering uniform lateral flow, is presented for generating runoff from the overland flow plane. The operational performance of the method is carried out using the observed rainfall-runoff da...
The three interrelated factors which govern the groundwater flow to the spring: geology (type, distribution, and hydraulic characteristics of geologic formations), topography (landforms and relief), and local climatic conditions (timing and amount of precipitation). The geology, topography and climatic conditions play important role in the occurren...
Water security of mountainous basins is mainly dependent on the springs water supply as the main source of drinking water. Sustainable development of springs to ensure water security requires the proper assessment of the flow characteristics of the spring flows. Thus, measurement and prediction of spring flows from aquifers are critical to water re...
The Green-Ampt (GA) infiltration model is a simplified version of the physically based full hydrodynamic model, known as the Richards equation. The simplicity and accuracy of this model facilitates for its use in many field problems, such as, infiltration computation in rainfall-runoff modelling, effluent transport in groundwater modelling studies,...
This paper highlights the development and use of the approximate-convection-diffusion (ACD) equations in discharge and stage or flow depth formulations for hydrological modeling, specifically for flood routing, overland flow modeling, flood forecasting, at-site discharge estimation using the stage data, and for rating curve development at ungauged...
A linear programming (LP) model is presented for optimal design of the pressurized irrigation system subunit. The objective function of the LP is to minimize the equivalent annual fixed cost of pipe network of the irrigation system and its annual operating energy cost. The hydraulic characteristics in the irrigation subunit are ensured by using the...
Questions
Questions (3)
Drainage network delineated using ALOS PALSAR AW3D30 DEM shows good accuracy particularly in relatively low lying area as compared to SRTM 30 m DEM. ALOS PALSAR RTC dem product from ASF although with 12 m spatial resolution shows wrong drainage network in low lying area and do not even match with those by AW3D30 DEM? Any idea/software to correct the ALOS PALSAR RTC dem product from ASF with 12 m to match the drainage conditions (at least as in AW3D30) in the watershed area?
With advancement of computing techniques and facilities and also spatial data availability, the use of physically based spatially distributed hydrological models seems to be better option over the conceptual, empirical and soft computing models. However, its application for large watershed is still restricted. Then questions is what are the possible reasons or factors causing obstacles in its application for very large catchment and how we can overcome this issues (particularly technical issues and data management issues) in application of physically based model over very large watersheds?
I am trying to develop a computer code of hydrological model for catchment runoff routing using two-dimensional Diffusive wave equations for overland flow and 1 D flow routing algorithm for channel. In this regards, I want to know how to use the DEM and other grid based GIS data for any shape of catchment into modelling framework using open source GIS software (automatic operation). Therefore, I am searching for detailed modelling algorithm for incorporation of hydrological and climatic GIS data for any catchment [Particularly, how to read grid cells and its data into mathematical modelling framework]. Particularly, I am in need of any good research article or Hydrological modelling book which give idea to accomplish this task. Thank you in advance.