Assessing Land Use Dynamics and Thermal Stress in Ahmedabad Using Integrated Remote Sensing and Machine Learning Techniques
Abstract
Volume 7,Issue 2
Assessing Land Use Dynamics and Thermal Stress in Ahmedabad Using Integrated Remote Sensing and Machine Learning TechniquesAbstract The rapid urbanisation in developing countries has not only intensified land transformation but also significantly altered surface temperatures, thereby increasing climate vulnerability. Ahmedabad, one of India’s fastest-growing cities, has witnessed substantial urban growth over the past two decades and therefore requires an integrated approach to analyse land-use change, thermal dynamics, and future growth patterns. This study aims to analyse the spatial and temporal patterns of land use/land [...] |
Application of Unmanned Aerial Vehicles in Assessing the Current Condition and Closure Design of Da Mai Landfill (Vietnam)Abstract Municipal solid waste (MSW) landfills remain a major source of greenhouse gas emissions, leachate pollution, and land degradation, particularly in low- and middle-income countries where many sites operate beyond their design capacity. This study proposes an integrated and low-cost framework combining unmanned aerial vehicle (UAV) photogrammetry with environmental assessment to support landfill closure planning. Using the Da Mai landfill (Vietnam) as a case study, high-resolution orthomosaics and [...] |
Integrated Assessment and Projection of Urban Expansion and Thermal Dynamics in Bangalore Using Multi-Temporal Landsat Data and Machine Learning TechniquesAbstract Rapid urbanization has remarkably altered land surface characteristics and thermal environments in Indian metropolitan cities, thereby increasing ecological pressure and urban heat risk. This study integrates assessments of land use and land cover (LULC) change and LST, and the UTFVI for Bangalore, India, using multi-temporal Landsat imagery and geospatial techniques, along with machine learning methods. LULC changes were studied and analyzed for 2000 and 2020, and a simulation to 2024 was perfo [...] |
DWSIM-Based Process Simulation and Exergy Analysis of Bioethanol Production from Rice Huskby
Abstract The growing concerns over fossil fuel dependency have motivated the exploration of sustainable biofuel alternatives. However, the practice of utilizing first-generation bioethanol production obtained majorly from food crops threat food supply market and poses threat to food security and land use. As a way forward, second-generation bioethanol from biomass, such as rice husk, an abundant agricultural residue, could potentially offer a promising pathway. Yet, its conversion remains energy-intensiv [...] |
Cr(VI) Adsorptive Removal Using Raw Cordia africana Sawdust: Optimization of Operating Parameters, Kinetics, Isotherm, Thermodynamics, and Desorption EfficiencyAbstract Hexavalent chromium (Cr(VI)) is a carcinogenic pollutant commonly found in wastewater from tanning and electroplating industries. This study investigates the efficiency of raw Cordia africana sawdust as a biosorbent for Cr(VI) removal. Batch adsorption experiments were conducted by varying pH (3-8), contact time (10-120 min), and Cr(VI) concentration (21-47 mg/L) using Response Surface Methodology (RSM) with Box-Behnken design. Characterization was performed using FTIR, SEM, [...] |
Sustainable and Environmentally Friendly Approaches for Eliminating Alizarin Red S from Contaminated Water Using Hydroxyfluorapatite-Based BiomaterialsAbstract This study investigated the use of new bioadsorbent the Hydroxyfluorapatite (Ca10(PO4)6OH1.75F0.25, HFA) to eliminate Alizarin Red S (ARS), a harmful water pollutant. Initial batch tests were conducted to evaluate the adsorption process, focusing on both kinetics and equilibrium behavior. Various kinetic models were applied such as: pseudo first-order, pseudo second order, the intra [...] |
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