- Flood Risk Assessment and Management
- Groundwater and Watershed Analysis
- Hydrology and Watershed Management Studies
- Fire effects on ecosystems
- Disaster Management and Resilience
- Land Use and Ecosystem Services
- Urban Green Space and Health
- Remote Sensing in Agriculture
- Landslides and related hazards
- Hydrology and Drought Analysis
- Soil and Land Suitability Analysis
- Urban Heat Island Mitigation
- Heavy metals in environment
- COVID-19 epidemiological studies
- Soil erosion and sediment transport
- Air Quality and Health Impacts
- Automated Road and Building Extraction
- Remote-Sensing Image Classification
- COVID-19 impact on air quality
- Hydrological Forecasting Using AI
- Climate change impacts on agriculture
- Remote Sensing and Land Use
- Plant Ecology and Taxonomy Studies
- Forest Ecology and Conservation
- Water Quality and Pollution Assessment
Qassim University
2020-2025
Urban environmental quality consisting of ecological, physical, and socio-economic components, often deteriorates due to rapid urbanization. Therefore, using Remote sensing GIS environment, a composite measure is applied quantify the spatial heterogeneity urban for Class-1 Indian city (Siliguri). In this study, Environmental Quality Index was constructed 15 indicators three interconnected dimensions (eco-environment, landscape built-up, socio-economy). The domains were computed utilizing...
Abstract At the global and regional scales, green vegetation cover has ability to affect climate land surface fluxes. Climate is an important factor which plays role in cover. This research aimed study changes relation of different indices with temperature using multi-temporal satellite data Sahiwal region, Pakistan. Supervised classification method (maximum likelihood algorithm) was used achieve based on ground-truthing. Our denoted that during last 24 years, almost 24,773.1 ha (2.43%) area...
Forest fires are among the most major causes of global ecosystem degradation. The integration spatial information from various sources using statistical analyses in GIS environment is an original tool managing spread forest fires, which one significant natural hazards western region Syria. Moreover, Syria characterized by a lack data to assess fire susceptibility as consequences current war. This study aimed conduct performance comparison frequency ratio (FR) and analytic hierarchy process...
Renewable energy sources are the most necessitated natural to reduce fossil fuels globally. Fossil fuel is valuable and limited resource on planet, but other hand, renewable creates less pollution. Solar effective for daily use. power plants necessary domestic Remote sensing geographic information technology (GIS) were used this study delineate possible site selection of solar in Kolkata surrounding area West Bengal, India. The analytical hierarchy process (AHP) multi-criteria...
Global fossil fuel reserves are declining due to differential uses, especially for power generation. Everybody can help do their bit the environment by using solar energy. Geographically, Bangladesh is a potential zone harnessing In March 2021, renewable generation capacity in amounted 722.592 MW, including 67.6% from solar, 31.84% hydro, and 0.55% other energy sources, wind, biogas, biomass, where 488.662 MW of originated over 6 million installed systems. Concurrently, 42% rural people...
Assessing water quality is crucial for improving global resource management, particularly in arid regions. This study aims to assess and monitor the status of groundwater based on hydrochemical parameters by using artificial intelligence (AI) approaches. The irrigation index (IWQI) predicted support vector machine (SVM) k-nearest neighbors (KNN) classifiers Matlab’s classification learner toolbox. are fed with following input parameters: sodium adsorption ratio (SAR), electrical conductivity...
Abstract The hydrological availability and scarcity of water can be affected by geomorphological processes occurring within a watershed. Hence, it is crucial to perform quantitative evaluation the watershed’s geometry determine impact such on its hydrology. Geographic information systems (GIS) remote sensing (RS) techniques have become increasingly significant because they enable decision-makers strategists make accurate efficient decisions. To prioritize sub-watersheds Wyra watershed, this...
Land use/cover (LU/LC) classification provides proxies of the natural and social processes related to urban development, providing stakeholders with crucial information. Remotely sensed images combined supervised are common define land use, but high-performance classifiers remain difficult achieve, due presence model hyperparameters. Conventional approaches rely on manual adjustment, which is time consuming often unsatisfying. Therefore, goal this study has been optimize parameters support...
Abstract Landslides in mountainous areas are one of the most important natural hazards and potentially cause severe damage loss human life. In order to reduce this damage, it is essential determine vulnerable sites. The objective study was produce a landslide vulnerability map using weight evidence method (WoE), Radial Basis Function Network (RBFN), Support Vector Machine (SVM) for N'fis basin located on northern border Marrakech High Atlas, area prone landslides. Firstly, an inventory...
Plant diversity is lower in arid regions around the world. However, semi-arid have very high species richness and are notable terms of vegetation structure plant diversity. The major goal this study was to assess composition woody with respect edaphic properties lowlands Kasur, Punjab Pakistan. Comprehensive field surveys were conducted botanical Kasur district (Punjab) during 2020–2022. Based on geography richness, 120 sampling sites selected, each site comprising 05 transects 500 m2...
Hydrological reaction to climate change anticipates water cycle alterations. To ensure long-term availability and accessibility, it is essential develop sustainable management strategies better hydrological models that can simulate peak flow. These efforts will aid in resource planning, management, mitigation. This study develops compares Sacramento, Australian Water Balance Model (AWBM), TANK, SIMHYD conceptual daily streamflow at Rajegaon station of the Pranhita subbasin Godavari basin...
Neighborhood services, property attributes, and their associated amenities have positive impacts on land values. This impact is estimated by the hedonic pricing model, which considered an effective method used in previous studies for such evaluations. The study uses Geographical Information Science digitizing point of interest area spatial modeling data collection points multi-linear regression as a statistical analysis measurements. measurements include structural, locational,...
The populous city of Palembang is one the most flood-prone cities in Indonesian region. After some decades, magnitude, duration, and frequency floods have increased. Thus, this study aimed to develop flood risk shelter suitability maps using Analytic Hierarchy Process (AHP) Geographical Information System (GIS) integration. Several flood-related factors that used such as elevation, population, slope, land cover, distance from a river, drainage density, road, settlement, soil type. Results...
This study assessed landslide susceptibility in Shahpur valley, situated the eastern Hindu Kush. Here, landslides are recurrent phenomena that disrupt natural environment, and almost every year, they cause huge property damages human losses. These expected to escalate area due high rate of deforestation region, population growth, agricultural expansion, infrastructural development on slopes. Landslide was by applying “weight evidence” (WoE) “information value” (IV) models. For this, past...
Despite Bangladesh being vulnerable to cyclones, there is a dearth of research on cyclone vulnerability assessment. Assessing household's considered crucial step in avoiding the adverse effects catastrophe risks. This was conducted cyclone-prone district Barguna, Bangladesh. study's purpose evaluate this region's vulnerability. A questionnaire survey using convenience sample technique. door-to-door 388 households two Unions Patharghata Upazila, Barguna district, conducted. Forty-three...
The rapid urbanization and industrialization in many parts of the world have made air pollution a global public health problem. A study conducted by Swiss organization IQAir indicated that 22 top 30 most polluted cities are India. This creates problem pollution, which is very relevant to India as well. Exposure pollutants has both acute (short-term) chronic (long-term) impacts on health. Among major pollutants, particulate matter 2.5 (PM2.5) harmful, its long-term exposure can impair lung...
Abstract In many countries like Pakistan, where crops are irrigated by wastewater, the accumulation of heavy metals is a serious problem, especially when such an irrigation widespread practice. The focus this study was to know highly toxic cadmium (Cd), chromium (Cr), and lead (Pb) in water, agricultural soil, crops, besides their probable risk human health area Vehari district. physicochemical parameters were determined for samples, including organic matter, carbon, pH, electrical...
Mangrove trees have a crucial role in providing habitat and breeding for various aquatic species averting coastal erosion caused by strong waves, tidal surges, storm surges. Currently, the mangrove area along Sungsang coast South Sumatra, Indonesia, has been degraded human activities like agriculture, fish ponds, other infrastructure developments. In this study, we used normalized difference built-up index (NDBI), vegetation (NDVI), land surface temperature (LST) analysis observing urban...
Abstract Background The Cerrado is the most biodiverse savanna and maintains other biomes. Aware of its significance, this paper evaluated Brazilian Cerrado’s climatic, environmental, socioeconomic aspects using remote sensing data spatial statistics (correlation analysis principal components analysis—PCA). Following measures sample adequacy (MSA) Kaiser–Meyer–Olkin (KMO) tests, seventeen variables were evaluated. Results MSA revealed that dataset had a good quality (0.76), nine selected:...
A tropical cyclone is a significant natural phenomenon that results in substantial socio-economic and environmental damage. These catastrophes impact millions of people every year, with those who live close to coastal areas being particularly affected. With few cities large population densities, Tamil Nadu’s coast the third-most cyclone-prone state India. This study involves generation risk map by utilizing four distinct components: hazards, exposure, vulnerability, mitigation. The employed...
COVID-19 is a disease caused by new coronavirus called SARS-CoV-2 and an accidental global public health threat. Because of this, WHO declared the outbreak pandemic. The pandemic spreading unprecedently in Addis Ababa, which results extraordinary logistical management challenges response to novel city. Thus, strategies resource allocation need be vulnerability-oriented. Though various studies have been carried out on COVID-19, only few conducted vulnerability from geospatial/location-based...
The present study examines indoor and outdoor environmental particulate matter gaseous pollutants in order to evaluate the urban air quality, sources pathways of pollutants, its impact on Chennai megacity, South India. A total number 25 conditioner filter samples collected from residential buildings, schools, colleges, commercial shopping malls, buildings near highways were studied for quality. Similarly, quality assessments have been done various parts metropolis, including...
Abstract Landslide vulnerability prediction maps are among the most important tools for managing natural hazards associated with slope stability in river basins that affect ecosystems, properties, infrastructure and society. events hazardous patterns of instability coastal mountains Syria. Thus, main goals this research to evaluate performance three different statistical outputs: Frequency Ratio (FR), Statistical Index (SI) Entropy (IoE) therefore map landslide susceptibility region To end,...
Abstract Background Urban heat island (UHI) is an urban climate phenomenon that primarily responds to conditions and land use change. The extent of hard surfaces significantly influences the thermal properties land. To address this issue, a novel approach quantifying association between UHI developed. This study offers new technique for effectively estimating effect on intensity using combination index (UHII) contribution (LCI) derived from Landsat 8 OLI images. time-series can be determined...
Landslides rank as the third most common natural disaster globally, and Indian Himalaya Region is no exception, experiencing severe impacts during rainy season. This study focuses on creating a comparative landslide susceptibility map for West Sikkim district in India using probabilistic heuristic approaches. The frequency ratio (FR) information value (IV) methods are employed approach, while analytic hierarchy process (AHP) used approach. Eleven factors considered analysis. resulting (LS)...