2385 papers
This paper proposes a water quality evaluation method that integrates cloud theory and evidence theory to determine basic probabilities and calculate synthetic probabilities for key indicators, thereby improving predictive accuracy and reliability compared to traditional models.
This study develops an integrated geoecological monitoring and environmental risk assessment framework for potash industrial facilities in arid climates, using the Dehqonobod region in Uzbekistan to demonstrate how halite waste drives atmospheric aerosol dispersion, soil salinization, and groundwater contamination, thereby enabling the delineation of high-risk zones for sustainable environmental management.
This study proposes a one-dimensional heterogeneity variography methodology based on Gy's sampling theory, utilizing an adaptive threshold called VCC_Norm to objectively identify critical sampling points in river systems without relying on external regulatory standards, a approach validated across four global case studies and implemented via a dedicated VBA-Excel tool.
This study presents the first basin-wide characterization of the Mitidja Basin's seismic ambient noise using 132 measurement points to map resonance frequencies, derive shear-wave velocity profiles, and identify azimuth-dependent directionality, thereby providing a critical velocity and resonance model for seismic hazard assessment while revealing the depth limitations of ambient-noise inversion in resolving the true crystalline basement.
This study utilizes an explainable machine learning framework to demonstrate that road users in Dhaka's monsoon season face a severe combined thermal discomfort burden driven by the synergistic effects of high heat, PM₂.₅ pollution, and traffic noise, with heat identified as the primary contributor to the model's predictions.
This study demonstrates that combining electrical resistance heating with steam enhanced extraction (ERH–SEE), particularly when augmented by conductivity enhancement via NaCl injection, offers a highly efficient and energy-saving thermal remediation solution for heterogeneous organic-contaminated media, significantly improving heating uniformity, contaminant removal, and energy efficiency compared to standalone methods.
Although local communities in the Dhera Dilfaker Block of Arsi Mountains National Park express positive attitudes toward wildlife conservation, they remain dissatisfied with current governance, institutional support, and livelihood opportunities, highlighting the need for enhanced participatory management and equitable benefit-sharing to ensure long-term conservation success.
This study reveals that tropical cyclone activity over the East Sea of Vietnam from 1983 to 2024 is characterized by asynchronous changes, featuring significant declines in main-season frequency and accumulated energy alongside stable peak intensities, rather than a uniform trend of intensification or weakening.
This study utilizes a GIS-based Frequency Ratio approach to generate a landslide susceptibility map for four wards of Chishankhugadhi Rural Municipality in eastern Nepal, identifying high-risk zones associated with specific geological and topographical factors while analyzing local rainfall patterns against global thresholds to inform land-use planning and geotechnical investigations.
This study utilizes an integrated approach of GIS, remote sensing, and socioeconomic analysis to demonstrate that rising temperatures, erratic rainfall, and human activities—particularly agricultural expansion and fuelwood extraction—have significantly reduced forest productivity in Ethiopia's Itang Special District, prompting recommendations for sustainable forestry and climate adaptation strategies.