Sudhir Kumar Singh

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Verified

Sudhir verified their affiliation via an institutional email.

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• MSc, MPhil,D.Phil.
• Professor (Associate) at University of Allahabad

The Weather Research and Forecasting (WRF) model’s Advanced Research WRF (ARW) dynamic solver is one of the most popular regional numerical weather prediction models being used by operational and research personnel. In this study, we simulate a tropical cyclone to reproduce the track direction and strength of the storm that formed at low latitudes...

The Kunwari River Basin (KRB) needs effective management of water resources for sustainable agriculture and flood hazard mitigation. The Soil and Water Assessment Tool (SWAT), a semi distributed physically based model, was chosen and set up in the KRB for hydrologic modeling. SWAT-CUP (SWAT-Calibration and Uncertainty Programs) was used for model c...

Remote sensing and GIS are important tools for studying land use/land cover (LULC) change and integrating the associated driving factors for deriving useful outputs. This study is based on utilization of Earth observation datasets over the highly urbanized Allahabad district in India. Allahabad district has experienced intense change in LULC in the...

The morphometric analysis of river basin helps to explore the interrelationship between hydraulic parameters and geomorphologic characteristics. The study has been conducted in the Upper Tons basin of Northern Foreland of Peninsular India. The river basin has been characterized using the topographical maps, CARTOSAT satellite image integrated using...

Wetland ecosystems are of global significance having productive, regulatory and informative function. These wetlands are crucial for the long-term protection of water sources, as well as the survival of its unique biodiversity. Most of the wetlands of Turkey are now facing serious threat from the anthropogenic sources and now near to the verge of e...

Climate change presents significant challenges to agricultural productivity, especially in tropical regions where crops like sugarcane are crucial for the economy. This study investigates the impact of climatic factors on the Co86032 sugarcane cultivar under the RCP 4.5 scenario. The integration of DSSAT and Random Forest models allows for a detail...

Climate change presents significant challenges to agricultural productivity, especially in tropical regions where crops like sugarcane are crucial for the economy. This study investigates the impact of climatic factors on the Co86032 sugarcane cultivar under the RCP 4.5 scenario. The integration of DSSAT and Random Forest models allows for a detail...

The Kanhan River, the Wainganga’s longest tributary, runs through the central Indian districts of Chhindwara and Nagpur. The SRTM, remote sensing, and GIS data, were used to investigate morphometric and morphotectonic indices of the Kanhan River Basin and these parameters (linear, areal, and relief) were further employed to assess the vulnerability...

Groundwater quality assessment is crucial for sustainable water resource management and public health protection. This study evaluated the Water Quality Index (WQI) of groundwater in the southern part of Gujarat focusing on the Valsad District. Groundwater in this region occurs in porous, unconsolidated formations and fracture formations, both unde...

This study presents the assessment of groundwater potential and its recharge areas in marginal alluvial and hard rock areas of the Trans-Yamuna region of Prayagraj district, Uttar Pradesh, India. Nine pivotal thematic layers under the geomorpho- logical and hydrogeological categories have been considered for study. The weight of each layer was det...

This paper outlines a methodology for conducting systematic literature reviews (SLRs) and meta-analysis studies in the field of hydrological and hydrodynamic modeling. These models have made significant progress since the beginning of the nineteenth century. As global warming intensifies, integrating advanced information technologies into hydrologi...

The Indian subcontinent has increasingly experienced extreme and severe heat waves in recent years, with significant implications for public health and infrastructure. This study investigates the rising variability in heatwave characteristics-such as duration, frequency, and intensity-specifically in Himachal Pradesh, India. Utilizing daily maximum...

16 different satellite soil moisture (SM) datasets (passive, active, combined, and model data) were compared at the European scale. We hypothesized that SM should be reflected by a variety of environmental factors, such as topography, hydroclimatology, soil characteristics, and biomass. Robust correlation was used to explore the relationship among...

Soil loss due to land transformations is a serious issue confronting the globe nowadays. The research's main focus was to predict future land use and land cover (LULC) and quantify soil loss, which is exacerbated by excessive rainfall following uneven topography, intensive agriculture, and a lack of adequate watershed management strategies. The Lan...

Assessment of hydrological flux under climate and land use change is critical. For the Ken-Betwa river-linking project underway in central India, a pre-assessment of land use land cover (LULC) and climate change effects on the hydrology of the Betwa River basin becomes essential. Land Change Modeler suggests a sustained expansion in open forests an...

Assessing soil and sediment loss are the main aims of the paper using the Revised Universal Soil Loss Equation (RUSLE) and the InVEST SDR models in the Ken River Basin (KRB). The annual soil loss varied from few-ton/hectare/year to 1630.5. The high erosion susceptibility was prevalent in the elevated area and low soil erosion severity was seen in t...

This research utilizes satellite data to analyze the land displacement in the region. The PS-InSAR technique utilizes long-term coherent radar measurements from synthetic aperture radar (SAR) images to produce high-resolution maps of surface displacement, making it an effective tool for monitoring and assessing ground subsidence in regions with hig...

Vegetation cover is critical in supporting our lives by maintaining many ecological and environmental services. As part of the vegetation cover, forests are the most essential components of the carbon cycle on the Earth. Canopy height is a critical piece of data needed for calculating the ecological and silvicultural variables of the forest. Since...

Study region: This study focuses on three hydroclimatic river basins in Africa: Upper Blue Nile Basin (UBNB), Oubangui River Basin (OURB), and Upper Zambezi River Basin (UZRB). Study focus: Accurately estimating potential evapotranspiration (PET) and selecting suitable data sources for hydrological modeling present significant challenges. This stud...

Due to its ecological and public health implications, home gardening soil pollution is challenging. However, the physicochemical factors of trace element pollution in semi-urban-rural home gardening soil interfaces in Fiji are unclear. Self-organizing map (SOM), chemometrics, compositional data analysis (CDA), and soil quality indices were used to...

Generally, pixel-based classification methods for Land Use Land Cover analysis are likely to produce lower classification accuracy compared to Object Based Image Analysis (OBIA) due to pixel based commissions and omissions. Identification of types of land cover features through satellite image is critical for meeting requirements related to sustain...

Socioeconomic developments, ineffective drainage systems, and insufficient river control, all contribute to significant loss of property and life due to the constant threat of floods. Therefore, controlling flood threats across Rel River, Dhanera, Gujarat has become even more crucial due to floods causing strain throughout the area during monsoon s...

Most high-mountain regions worldwide are susceptible to snow avalanches during the winter or all year round. In this study, a Universal Snow Avalanche Modeling Index is developed, suitable for determining avalanche hazard in mountain regions. The first step in the research is the collection of data in the field and their processing in geographic in...

To investigate mining subsidence efficient technologies and methods are needed since current ground-based methods are expensive and time-consuming and they used only to monitor specific points. With this we aimed to demonstrate surface changes resulting from coal mining operations in Talcher region, India. Sentinel-1 SAR images were used to monitor...

In this research we analyzed the morphometric parameter of Palar River basin by using the satellite data from open sources for monitoring drainage network. Palar River basin covers 1972.27 sq.km areas with elevation of 226.9 m as highest and 38.01 m lowest above mean sea level. In this research it detected that Palar River basin having 5th order st...

The morphometric analysis of Shipra main and its sub-watersheds (Gambhir and Khan) was studied by using SRTM DEM data in ArcGIS 10.3, and 48 (linear, areal and relief) parameters were quantified. The variable bifurcation ratio 3–7 is significantly showing the structural control on drainage pattern. The estimated low drainage density (0.90) and low...

The findings of morphometric and morphotectonic analysis of the Johilla watershed of central India are presented in this chapter. Johilla is debouching to the Son River near Annupur district in Madhya Pradesh, India and is forming an important network of the Ganga basin along with other tributaries in the eastern India. The GIS technique and SRTM d...

The study explores the impact of climate change on rice production in Dapoli, using the DSSAT CERES rice crop model for the base period from 1997 to 2023 and the future till the end of 21 st century i.e. 2099. In this study, we examine the simulated and observed yields of the Dapoli region for impact assessment and validation of the DSSAT model in...

Data scarcity and unavailability of observed rainfalls in the northeastern states of India limit prediction of extreme hydro-climatological changes. To fill this gap, a data assimilation approach has been applied to re-construct accurate high-resolution gridded (5 km2) daily rainfall data (2001–2020), which include seasonality assessment, statistic...

This study examines the potential use of a low-cost biosorbent - chamomile tea residues, as an alternative to traditional adsorbents for removing Pb2+ ions from aqueous solutions. The inductively coupled plasma-optical emission spectrometry (ICP-OES) was used to measure the amount of metal before and after the removal, and a scanning electron micro...

Presently, a significant portion of the global population resides in metropolitan areas where air pollution levels are usually high. The primary objective is to utilize satellite data to identify the concentration of pollutants, unlike the traditional method which utilizes a series of ground-based detectors. The study aims to analyze the distributi...

In this study the morphometric indices of the Pahuj river basin (PRB) were evaluated by applying remote sensing and GIS. The Shuttle Radar Topographic Mission (SRTM) based 30 m digital elevation (DEM) data was used in order to extract morphometric parameters using standard methods. The PRB covering an area (3648 km2) and is controlled by homogenous...

The impact of fossil fuels on greenhouse gas generation has intensified the study of new renewable energy sources such as energy crops. Arundo donax L. is one of the promising crops for energy production due to its high growth rate and tolerance to different adverse conditions. This work aimed to study Arundo donax L. as an alternative for energy g...

The increasing air pollution in the urban atmosphere is adversely impacts the environment, climate and human health. The alarming degradation of air quality, atmospheric conditions, economy and human life due to air pollution needs significant in-depth studies to ascertain causes, contributions and impacts for developing and implementing an effecti...

This study integrated climate projections from five global climate models (GCMs) into the soil and water assessment tool to evaluate the potential impact of climate alterations on the Rietspruit River sub-basin under two representative concentration pathways (RCP4.5 and 8.5). The model's performance was evaluated based on the coefficient of determi...

Accuracy assessments are important steps of classifications and get higher relevance with the soar of machine and deep learning techniques. We provided a method for quick model evaluations with several options: calculate the class level accuracy metrics for as many models and classes as needed; calculate model stability using random subsets of the...

The assessment of flood hazard in semi-arid region under the scare data situation is a challenging task under the changing climatic situation. Therefore, the present research is carry out for Rel river catchment, Gujrat, India as case study and presented the comprehensive approach to identify the possible flood extend and flood mitigation measures...

effectiveness of the Seasonal Auto Regressive Integrated Moving Average with EXogenous variables (SARIMAX) model in the coastal area of Phaltan, taluka. Rainfall forecasting is so much helpful to crops and disaster planning and development during monsoon season. The performance of model was assessed using various statistical metrics such as coeffic...

The purpose of this work was to evaluate the groundwater quality and the health hazards related to non-carcinogenic elements present in the Complex Terminal (CT) Ouargla city. Thirty (30) samples were taken and physico-chemically analyzed collected from deep boreholes located in study area. Fluoride concentrations ranged between 1.07 and 3.7 mg/l,...

The complex channel planforms dynamics of river systems have attracted a lot of attention worldwide because of the tremendous effects that morphological changes have on nearby ecosystems and human populations. The present research aims at understanding intricate changes in the Rel river's channel as well as the erosion and deposition taking place o...

The prediction of future land use and land cover (LULC) change is essential for natural resource management and the development of environmental monitoring strategies, especially for a non-resilient system. Thus, a novel LULC prediction model was proposed by coupling a hybrid predictor screening approach with the Cellular Automata coupled Artificia...

Changes in land use and land cover are imperative drivers of climate change in urbanization. The conversion of land use modifies the physical and thermal characteristics of the land surface and also has an impact on the air quality. This study aims to assess the potential impact of land use and land cover (LULC) on the air quality in Gujarat sta...

Soil erosion is a basic subject with major global consequences, which usually affect soil productivity. Identifying and delineating the susceptible soil erosion zones is essential for applying preventive measures in any basin. The current case study research documents a morphometric, morphotectonic and soil erosion hotspot study of the Rietspruit s...

The Betwa River Basin (BRB), a sub-basin of the River Yamuna, is the oldest flowing water system in Central India. The water quality of the rivers are under stress, hence regular monitoring and appraisal is required to know the health of the rivers. Factor analysis and principal component analysis (FA/PCA) multivariate statistical techniques were u...

Several studies investigated the occurrence of fires in Africa with numerical modeling or applied statistics; however, only a few studies focused on the influence of El Niño on the fire risk using a coupled model. The study aimed to assess the influence of El Niño on wildfire dynamics in Africa using the SPEEDY-HYCOM model. El Niño events in the Ea...

Forest fires can cause calamitous damage to the forest ecosystems and may affect climatic parameters, such as temperature, evapotranspiration, and precipitation by catalyzing changes in the local ecology of the region. The main research objective of this work was to quantify the different indices as well as to identify the changes in years 2011 and...

A study was conducted using the Institute Pierre-Simon Laplace (IPSL) and the Geophysical Fluid Dynamics Laboratory Earth System (GFDL) models to assess climate change impacts on maximum temperature (Tmax), minimum temperature (Tmin), and rainfall trends in Dapoli, Maharashtra. Historical data from 1983-2023 and projected trends from 2024-2099 unde...

Land use and land cover (LULC) classification plays a significant role in the analysis of climate change, evidence-based policies, and urban and regional planning. For example, updated and detailed information on land use in urban areas is highly needed to monitor and evaluate urban development plans. Machine learning (ML) algorithms, and particula...

The present study reveals the significance of the morphometric and morphotectonic parameters for the evalua- tion of soil erosion and tectonism in the Ken River basin of Central India. About fifty two morphometric (linear, areal and relief) and ten morphotectonic parameters were analyzed by using digital elevation model and Geo- graphic Information...

The present study revealed the potential runoff estimation, soil erosion, and scope of groundwater recharge in the Bundelkhand region in the state of Uttar Pradesh, India. The estimation of runoff and soil erosion has provided a platform to evaluate the realistic potential for water conservation in the study area. Soil Conservation Services and Cur...

Mapping and monitoring cropping patterns is essential for a sustainable agriculture. This study aims to map and monitor cropping patterns in the Multan district located in Pakistan. For this purpose, the dataset comprising 16-day composite products at a 250-m resolution from MODIS (onboard the Terra platform) and Landsat satellite images was used o...

This study aimed to investigate the use and effectiveness of Indigenous Knowledge Systems (IKS) in managing landslides in Kanungu District, Uganda. The study used the Likert scale and the multivariate probit (MVP) model and found that marginalization was a significant challenge facing local interventions in landslide disaster management. Factors su...

Human activities threaten the integrity of watersheds. We aimed to investigate the impact of land use on water quality, adopting a multiscale approach. We collected water samples from twelve streams in Southern Brazil and conducted limnological analyses (physical, chemical, and biological) during the dry season. We used the water quality index base...

The Northeast of Brazil (NEB) is influenced by the phases of El Niño–Southern Oscillation (ENSO), which are associated with increased or decreased rainfall in the East NEB (ENEB). The study evaluated the effects of extreme ENSO phases on rainfall extremes in ENEB. Rainfall data from 54 stations in Alagoas were obtained from the National Water and B...

The Northeast of Brazil (NEB) is influenced by the phases of El Niño–Southern Oscillation (ENSO), which are associated with increased or decreased rainfall in the East NEB (ENEB). The study evaluated the effects of extreme ENSO phases on rainfall extremes in ENEB. Rainfall data from 54 stations in Alagoas were obtained from the National Water and B...

Climate change is currently the world’s most serious environmental and meteorological challenge. Climate change has a negative impact on agriculture, water resources, forests, health, biodiversity, ecology, socioeconomics, and coast-lines. Agriculture is the most vulnerable to climate change, and it is India’s backbone, with 70–80% of the populatio...

Climate change is currently the world’s most serious environmental and meteorological challenge. Climate change has a negative impact on agriculture, water resources, forests, health, biodiversity, ecology, socioeconomics, and coastlines. Agriculture is the most vulnerable to climate change, and it is India’s backbone, with 70–80% of the population...

Crop type identification is critical for agricultural sustainability policy development and environmental assessments. Therefore, it is important to obtain their spatial distribution via different approaches. Medium-, high- and very high-resolution optical satellite sensors are efficient tools for acquiring this information, particularly for challe...

The assessment of soil erosion holds paramount significance in sustainable land management and environmental conservation. In this context, the integration of advanced technologies such as the Revised Universal Soil Loss Equation (RUSLE), Google Earth Engine (GEE), and geospatial techniques presents a formidable approach for evaluating soil erosion...

The land use/land cover change (LULC) is prominent in the hilly states of India. Population growth and consumerism have impacted the dynamics of LULCC. In this work, we have used satellite data to understand the NDVI and LST change over the period of 1995–2005–2021. The LULC maps were prepared and analysed to find out the change in different LULC c...

Fluvial floods are commonly studied as an occurrence at the level of a specific basin and are speculated to be closely related to the basin's morphometry. It is possible to identify and rank sub-basins based on how susceptible they are to fluvial flooding events using morphometric criteria. However, one of the key causes that triggers fluvial flood...

The Rapti a foothills-fed river is emerging from the Lesser Himalayan zone of southern Nepal. It has shifted its course at its foothills and middle reaches several times and has been affecting many localities in the last few decades. Keeping this in view a severely affected 94 km. long stretch of Rapti river flowing in the Shravasti district of eas...

The aim of this research was to simulate the future water balance of the Silwani watershed, Jharkhand, India, under the combined effect of land use and climate change based on the Soil and Water Assessment Tool (SWAT) and Cellular Automata (CA)-Markov Chain model. The future climate prediction was done based on daily bias-corrected datasets of the...

The land use/land cover change (LULC) is prominent in the hilly states of India. Population growth and consumerism have impacted the dynamics of LULCC. In this work, we have used satellite data to understand the NDVI and LST change over the period of 1995–2005–2021. The LULC maps were prepared and analysed to find out the change in different LULC c...

Water provides different goods and services like handcraft and fishing materials, water supply for domestic use, businesses, agriculture, transport, washing, drinking, and eco-tourism. However, few studies have assessed the effects of climate change on water resources in recent years. This study investigated the relationship between water resources...

Drought is a complex and devastating natural disaster that needs to be constantly investigated. In this study, standardized precipitation indexes (SPI-3 and SPI-6) were computed using daily precipitation data collected from six meteorological stations in a Mediterranean coastal basin (Northwestern Morocco) during the period from 1984 to 2021. Subse...

The aim of the study was to investigate the land use change dynamics under CMIP6 projections using Land Change Modeler (LCM). The Global Sensitivity Analysis (GSA) techniques was applied to quantify the sensitivity of single parameter and combination of parameters. Land use and land cover (LULC) transitions of the baseline period (2006-2016) was as...

The Damoh district, which is located in the central India and characterized by limestone, shales, and sandstone compact rock. The district has been facing groundwater development challenges and problems for several decades. To facilitate groundwater management, it is crucial to monitor and plan based on geology, slope, relief, land use, geomorpholo...

An approach that integrates Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) techniques was used to determine the soil erosion vulnerability of a forested mountainous watershed. The spatial pattern of annual soil loss rate was obtained by integrating geo-environmental variables in a raster data format based...

This book on the climate change, natural resources, landscape and agricultural ecosystems describes the contributing aspects of climate change related to natural resources, soil erosion, irrigation planning, water, landscape, sustainable crop yield agriculture, biomass estimation, problems of climate change and discusses the related resulting mitig...

Groundwater is the main source of drinking and irrigation water available in the majority of the Ghaghara River basin (GRB), which is a trans-boundary river basin and characterized by a sub-humid climate that possesses a lot of uncertainty due to non-precise measurement of water and energy flux. The basin is classified as an upper mountainous basin...

Agriculture, meteorological, and hydrological drought is a natural hazard which affects ecosystems in the central India of Maharashtra state. Due to limited historical data for drought monitoring and forecasting available in the central India of Maharashtra state, implementing machine learning (ML) algorithms could allow for the prediction of futur...

Renewable energy in today’s growing global economies has become essential and an integral part in answering the global major problem such as mitigating climate change, promoting sustainable development and conserving natural resources. Decentralized generation of solar power with photovoltaic (PV) panel installation in the wastelands, accompanied b...

Springer Climate Series (Now Indexed in Scopus) https://www.researchgate.net/project/Springer-Nature-Climate-Series-Scopus-Indexed-Invitation-for-Call-for-Book-Chapter-on-Ecological-footprints-of-climate-change-Adaptive-Approaches-and-Sustainability The Benefit of the authors or Contributors: It will be published in an edited book by It will be D...

Rivers, lakes, and open water bodies play crucial roles in environmental development, especially in urban ecosystems. Accurate urban surface water body maps in high resolution are an important prerequisite for better and faster decision making for urban ecosystem monitoring, mitigating the effects of urban heat islands and urban climate change adap...