2455 papers
This study assesses groundwater potential zones in Selamber District, Southern Ethiopia, by integrating remote sensing, GIS, and Vertical Electric Sounding techniques with the Analytical Hierarchy Process to map favorable sites for sustainable water resource development.
This study utilizes a GIS-based spatial assessment framework in Ujung Piring, Jepara, to evaluate the compatibility between coastal carrying capacity and current utilization, revealing that 96% of existing activities align with environmental limits and thus supporting sustainable coastal management strategies.
This paper presents a low-cost, uncertainty-quantified AI post-processing system that calibrates global rainfall forecasts for East Africa, demonstrating improved accuracy in predicting rainfall extremes and providing actionable insights for Early Warning Systems, particularly at longer lead times.
This study evaluates the spatiotemporal evolution and driving mechanisms of tourism ecological security across 16 prefecture-level cities in Anhui Province from 2008 to 2019 using an integrated DPSIR–SBM-DEA framework, revealing a fluctuating upward trend with a distinct "high-south, low-north" spatial pattern driven by factors such as tourist arrivals, population density, and environmental indicators.
This paper presents a lightweight, fully automatic workflow that significantly expands volcano-tectonic seismic catalogs by detecting and locating previously missed events, as demonstrated by its successful application to Villarrica Volcano, Chile, which nearly doubled the existing record while maintaining accuracy comparable to expert manual analysis.
This study develops an adaptive Fuzzy Analytic Hierarchy Process framework to quantitatively weight climate-driven landslide factors in Meizhou City, South China, revealing rainfall as the dominant trigger and providing a reproducible tool for optimizing early warning systems and engineering prioritization under climate uncertainty.
This study introduces a climate-compatible machine-learning framework that estimates future rainfall erosivity directly from standard climate model outputs, revealing a projected national decline in Türkiye alongside significant regional heterogeneity and increasing model divergence by the end of the century.
This study reveals that while greening efforts in Africa's Great Green Wall have improved livelihoods, they have simultaneously amplified hazardous humid-heat risks by increasing atmospheric moisture, thereby exposing millions of people to more frequent and intense heat stress that necessitates urgent adaptation strategies.
This study utilizes a GIS-based framework integrating Landsat 8-derived thermal and vegetation indices with park accessibility buffer analyses to identify priority areas for new urban green spaces, offering a strategic decision-support tool for mitigating the Urban Heat Island effect in Chennai.
By integrating high-resolution physics-based models with building-level data for eastern North Carolina, this study reveals that while wind hazards affect the most homes, rare compound events involving wind and flooding drive disproportionate economic losses and expose a critical protection gap where the most vulnerable, uninsured households face the highest risk.