Shishir Gaur's research while affiliated with Indian Institute of Technology (Banaras Hindu University) Varanasi and other places
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Publications (54)
Processing of hyperspectral remote sensing datasets poses challenges in terms of computational expense pertaining to data redundancy. As such, band selection becomes indispensable to address redundancy while preserving the optimal spectral information. This paper proposes a novel architecture using Genetic Algorithm (GA) optimizing technique with R...
A novel methodology for suitable site selection for groundwater development based on river capture, pumping cost and groundwater potential has been proposed for better groundwater utilization. River capture and cost map have been generated from a calibrated groundwater model, simulated with forecasted hydrological time series data. The groundwater...
Processing of hyperspectral remote sensing datasets poses challenges in terms of computational expense pertaining to data redundancy. As such, band selection becomes indispensable to address redundancy while preserving the optimal spectral information. This paper proposes a novel architecture using Genetic Algorithm (GA) optimizing technique with R...
LST has been calculated with MODIS satellite data in the Google earth engine (GEE) platform, and anthro-pogenic activities can be visualised using an LU/LC map of the basin created by the Classification and Regression (CART) technique. The statistical parameters (average, maximum and standard deviation) of annual temperature for each pixel in 17 ye...
River Ganga is one of the most significant rivers in the country. This river is the adobe for numerous aquatic species and microorganisms. The color of the river suddenly changed to green due to the rise of algal bloom in the Varanasi and nearby regions of the river Ganga during May–June 2021. These algal blooms can be detrimental to the aquatic an...
The fluctuation in the river ecosystem
network due to climate change-induced global warming affects aquatic organisms, water quality, and other
ecological processes. Assessment of climate change-induced global warming impacts on regional hydrological processes is vital for effective water resource
management and planning. The global warming efect
o...
The effects of regional (hydrogeology and geomorphology) and local (sediment and hydrology) characteristics on hyporheic assemblages were studied along a 40-km reach of a large gravel-bed river. Hyporheic water and fauna were sampled at the upstream and downstream positions of 15 large gravel bars. The resulting 30 stations varied in their sediment...
The proper functioning of the river ecosystem has been symbolised by healthy aquatic life. The river Ganga has shown signs of rejuvenation due to lockdown. In this study, an attempt has been made to analyse the change in river water quality using Sentinel-2 and Landsat-8 imageries. The quantitative analysis has been performed for temperature and no...
Multi-objective optimization problems can be solved through Simulation-Optimization (S-O) techniques where the pareto front gives the optimal solutions in the problem domains. During the selection of different modelling methods, optimization techniques and management scenarios, several pareto fronts can be generated. In the present work, an attempt...
The temperature of a river is a fundamental aspect of its water quality and has a bearing on its ecosystem to a greater extent. Therefore, in systematic planning for optimal stream monitoring programs involving the determination of location at monitoring stations, understanding this crucial thermal parameter is much desired. This would help to give...
The temperature of a river is a fundamental aspect of its water quality and has a bearing on its ecosystem to a greater extent. Therefore, in systematic planning for optimal stream monitoring programs involving the determination of location at monitoring stations, understanding this crucial thermal parameter is much desired. This would help to give...
We propose a novel methodology for the groundwater potential zonation with the integration of capture fraction in a multi-objective problem. Each hydrogeological feature such as lakes, ponds and river stretches are influenced by the groundwater extraction through pumping wells and the specific distance of the pumping wells from these features. Anal...
‘Health is Wealth’. It occupies an essential component for our survival on this planet earth. Ab antique, our ancestors and progenitors had a cherished desire for a good health. Keeping this in view, they urged for a coherence and congruity of our living patterns with the natural environment as the laws of nature are but the mathematical thoughts o...
Anthropogenic deterioration of streams and rivers has affected their surface-subsurface linkages. This has led to the degradation of hyporheic zones, a sensitive interface between a stream channel and its surrounding sediments, responsible for transforming pollutants, natural solutes and supporting benthic communities. Several authors have reported...
Excessive water use in the agricultural sector in the Betwa–Dhasan basin of the Bundelkhand region is becoming the cause of irrepressible drawdown in the groundwater level. These changing dynamics are becoming the cause of water scarcity in the basin and increasing difficulty in fulfilling the water demand of the area. For incorporating the water-s...
Effective management of water resource is essential in arid and semi-arid areas of India. In Bihar, for drinking purpose humans, livestock is dependent on the groundwater as well as in agricultural areas groundwater plays an important role in irrigation directly or indirectly. There is rise in the groundwater demand due to rapid population increase...
Groundwater pumping influences the rate of River-Aquifer (R-A) exchanges and alters the water budget of the aquifer. Therefore, fulfilling the total water demand of the area, with an optimal pumping rate of wells and optimal R-A exchanges rate, is important for the sustainable management of water resources and aquatic ecosystems. Meanwhile, compari...
Groundwater prospecting with reasonable accuracy is often a challenging task. The integration of geographic information system (GIS) with Machine Learning techniques has proven very reliable to delineate the nonlinear behaviour of groundwater occurrence. The weighted overlay analysis is one of the many essential tools used for groundwater potential...
Sand-dominated rivers undergo a temporal change in surface water extent and in the supply of the water during the year. These rivers are mainly recharged through precipitation, which showcases their vulnerability to climate-change-induced aridification. Accurately detecting the surface water spread of the river is very significant for understanding...
This chapter describes Artificial Neural Network optimization technique and Wavelet Support Vector Machine (WA-SVR) model for predicting the groundwater level in the given terrain. Ground water forecasting is significantly needed for groundwater management. The most important purpose of applying the neural network (artificial) was to extract the pr...
Sand-dominated rivers undergo a temporal change in surface water extent and in the supply of the water during the year. These rivers are mainly recharged through precipitation, which showcases their vulnerability to climate-change-induced aridification. Accurately detecting the surface water spread of the river is very significant for understanding...
The groundwater planning problems are often multiobjective. Due to conflicting objectives and non-linearity of the variables involved, several feasible solutions may have to be evolved rather than single optimal solution. In this study, the simulation model built on an Analytic Element Method (AEM) and the optimization model built on a Non-dominate...
In the present scenario, the conservation of water is the main concern of human beings. The depletion rate of water is rapid for surfacewater as well as for groundwater. In most of the landscapes, surfacewater and sub-surface water are inter-connected to each other, and the interaction between sub-surface water and surfacewater is a complex phenome...
Water scarcity is the major problem faced by today’s world. Groundwater is the most valuable resource of drinking water due to the scarcity of good quality surface water. Groundwater occurs in hard rock layers whose thickness may vary from few meters to 100 m. Aquifer stores the groundwater and yielded the water at the time of pumping. A groundwate...
The Lonar Lake of Maharashtra is a crater based-saline lake. During the month of June 2020, this lake suddenly changed its colour and turned to pink due to the presence of Haloarchaea microbes, and this species have a unique adaptation style to survive in high saline condition. The salinity of this lake is increasing due to less rainfall, low human...
The Lonar Lake of Maharashtra is a crater based-saline lake. During the month of June 2020, this lake suddenly changed its colour and turned to pink due to the presence of Haloarchaea microbes, and this species have a unique adaptation style to survive in high saline condition. The salinity of this lake is increasing due to less rainfall, low human...
Groundwater flow modelling is an important technique which is used to study the dynamics of groundwater systems. Although, complex groundwater system with large set of parameters and associated uncertainty with those parameters makes modelling exercise difficult. In this study, development of groundwater model for Varanasi city and near around area...
Remote sensing–based flood inundation mapping and monitoring is very crucial input before, during, and after floods. Ganga–Ramganga doab is one of the prolonged flood-affected area in middle Ganga plain due to seasonal monsoon which leads to rise in water levels of Ganga and Ramganga rivers. The focus of the present study is to map severe flood con...
Rivers are the lifeline of human civilization
from ancient times and almost all the human settlements had
evolved around it. In this present era, human population has
grown at a rapid pace and the anthropogenic activities have
grown along with it. Pollution levels of rivers are increasing
day by day due to increase in anthropogenic activities, as
h...
Groundwater flow modelling provides the water flow dynamics for the estimation and prediction of groundwater movement and its condition in the aquifer. The modelling helps for the management of the groundwater resources under various hydrological and anthropogenic stresses. In this paper, a modelling exercise was performed using the analytic elemen...
Groundwater flow modelling provides the water flow dynamics for the estimation and prediction of groundwater movement and its condition in the aquifer. The modelling helps for the management of the groundwater resources under various hydrological and anthropogenic stresses. In this paper, a modelling exercise was performed using the analytic elemen...
The simulation-optimization approach is often used to solve water resource management problem although repeated use of the simulation model enhances the computational load. In this study, Artificial Neural Network (ANN) and Bagged Decision Trees (BDT) models were developed as an approximator for Analytic Element Method (AEM) based groundwater flow...
Soil and water come under the category of the most important renewable natural resources on earth. But due to their indiscriminate use, they can be seriously endangered. Hence it is essential to manage natural resources sustainably to preserve them for the future. For soil prevention, Morphometric analyses only drainage pattern. However, Land Use/L...
Fulfilling the growing water demand, at domestic, industrial and agriculture level, is the most challenging task
and groundwater plays the most important role for achieving this demand. In this scenario, proper management of groundwater resources is the most required act,as unmanaged groundwater extraction may cause shrinking of aquifer, sea water...
Water is the remarkable natural resource which is essential for every form of life on the planet “Earth,” and nowadays India is facing major water scarcity problems. These problems are due to climate change and urbanization. As the urbanization is increasing, the percentage of impervious land is increasing which is leading to increase in urban runo...
Groundwater management involves conflicting objectives as maximization of discharge contradicts the criteria of minimum pumping cost and minimum piping cost. In addition, available data contains uncertainties such as market fluctuations, variations in water levels of wells and variations of ground water policies. A fuzzy model is to be evolved to t...
Artificial Neural Networks (ANNs) have been found to be a robust tool to model
many non-linear hydrological processes. The present study aims at evaluating the performance
of ANN in simulating and predicting ground water levels in the uplands of a tropical
coastal riparian wetland. The study involves comparison of two network architectures, Feed
Fo...
Ground water management problems are typically solved by the simulation-optimization approach where complex numerical models are used to simulate the groundwater flow and/or contamination transport. These numerical models take a lot of time to solve the management problems and hence become computationally expensive. In this study, Artificial Neural...
The paper presents the methodology for the combined use of GIS-based multi-criteria analysis and simulation-optimisation modelling for management of the groundwater resources of the Dore river basin in France. The study identifies the suitable location and maximum discharge for the new groundwater pumping wells. The multi-criteria analysis (MCA), w...
With urbanization, the permeable soil surface area through which recharge by infiltration can occur is reducing. This is resulting in much less ground-water recharge and greatly increased surface run-off. Infiltration devices, which redirect run-off waters from the surface to the sub-surface environments, are commonly adopted to mitigate the negati...
The paperpresents the methodology for the combineduse ofGIS-basedmulti- criteria analysis and simulation-optimisation modelling for management of the groundwater resources of the Dore river basin in France. The study identifes the suitable location and maximum discharge for the new groundwater pumping wells. The multi-criteria analysis (MCA), with...
In the simulation-optimization approach, a coupled optimization and groundwater flow/transport model is used to solve groundwater management problems. The efficiency of the numerical method, which is used to simulate the groundwater flow, is one the major reason to obtain the best solution for a management problem. This study was carried out to exa...
This paper presents the application of the Analytic Element Method (AEM) and Particle Swarm Optimization (PSO) based simulation-optimization model for the solution of groundwater management problems. The AEM-PSO model developed was applied to the Dore river basin, France to solve two groundwater hydraulic management problems: (1) maximum pumping fr...
A methodology for groundwater evaluation has been developed by the combined use of numerical model and spatial modeling using GIS. The developed methodology has been applied on the sub-basin of the Banganga River, India. Initially, the groundwater potential zones have been delineated by spatial modeling. Different thematic maps of the basin like ge...
A growing population and increasing demands are placing greater responsibility on scientists and engineers to provide means to better understand and evaluate the groundwater resources and predicting its future scenario. In this study mathematical groundwater modeling is carried out for the alluvium area of Rajasthan. To understand the behavior of g...
Citations
... This is leading to drying up of the underground aquifers and in turn leading to surface subsidence [33], [34]. The mapping of urban surface subsidence of Varanasi also becomes important from the point that the city is on the forefront of India's smart-city mission that includes a major pilgrimage centre [35]. The important issue is that a city located on the banks of a mighty perennial source of water is showing ground water depletion induced urban surface subsidence [36]. ...
... Microchannel heat sinks deal with thermal challenges associated with the latest industrial developments, such as micro-electro-mechanical systems, including microchips, high-performance computing systems, high-power density batteries, high-power magnets, and high-heat density generating future devices, such as 5G/6G devices, fuel cell power plants, energy, material processing, solar cells and air-conditioning systems, chemical industries, etc. [52][53][54][55][56][57][58][59][60][61][62][63][64][65]. ...
... The F-AHP is used to solve the AHP's inability to handle imprecision and subjectivity in assessments [68]. In addition, the AHP and F-AHP will provide better results in data-scarce conditions when compared to ML methods [69,70]. Hence, the AHP and F-AHP models are suitable when a large number of landslides are not available to train and validate the results. ...
... The mating system among the fishes can also get disrupted due to an increase in the turbidity of the river (Järvenpää & Lindström, 2004). Industrial waste also comprises heavy metals, which can increase the river's electrical conductivity, that in turn increases the river temperature (Das et al., 2021;Kefford, 1998). The uncontrolled increase of the river temperature can completely rupture the entire river ecosystem network (Das et al., 2022a, b). ...
... Solution of groundwater management problems often needs to find the best possible location and pumping rates of wells or both, which depends on the efficiency of the simulation model to define the precise location of wells and water budgeting. Illegal extraction of this resource through pumping wells makes this problem worsen more and sets challenges in front of water agencies (Gaur et al., 2021). The unknown/illegal wells' problem increases the unequal distribution of water share and corresponding mismanagement of the natural resources (Pu et al., 2020). ...
... Water provides invaluable supplies and resources to support human life, living, and production, such as drinking water, food, transportation, and recreation [1]. In addition, water information is widely used for many purposes [2][3][4][5], including water resource surveys, environmental protection, land classification, and flood monitoring. As a result of climate change and human activities, spatial and temporal distributions of water extents are changing [6,7], and water shortages and water pollution are becoming progressively more severe [8]. ...
... Evaluating different weight combinations would require extensive analysis which would change the focus of this research. Therefore, here presented multi-objective optimization problem is solved using the Pareto-based optimization algorithm, Nondominated Sorting Genetic Algorithm (NSGA-II; Deb et al. 2002), which is widely used for solving multi-objective optimization tasks for water resources (Artina et al. 2012;Darvishi & Kordestani 2019;Gao et al. 2019;Wang et al. 2019;Gaur et al. 2021). Here, this algorithm is used to improve the initial tuning solution provided by the manual procedure. ...
... With the recent infrastructural developments in the city, there is also an increase in the migratory labour force in the city [30], [31]. Most of the developmental works have been intensified along the riverbanks, the underground water utilisation becomes a convenient method [32]. This is leading to drying up of the underground aquifers and in turn leading to surface subsidence [33], [34]. ...
... The Lonar Lake water had turned pink during June 2020 due to the presence of Haloarchaea microbes (Fig. 7) (Bhattacharjee et al., 2021;Ali and Ali, 2021). Several media reported this event of 11th June 2020; however, a similar color change of water from green to brown was observed in June 2019 also. ...
... [59] of water as well. In recent times, Das [53], Adamo [54] and coworkers detailed a similar report on real-time monitoring of river and sea water quality respectively. Another rare work was designed and implemented on the measurement of chlorine concentration among other parameters in water by Chung et al [55]. ...