2520 papers
This study employs a qualitative system dynamics framework, integrating Grounded Theory with participatory methods to diagnose the systemic governance failures in Iran's Qarranqu Basin by identifying six core meta-feedback loops and 13 actionable leverage points that link institutional fragmentation and political-economic structures to water crises.
This study utilizes 422 Sentinel-2 satellite images processed in Google Earth Engine to establish the first baseline assessment of Total Suspended Solids in the data-scarce Basantar River, India, revealing a distinct seasonal pattern where sediment pollution peaks during pre-monsoon summer months and declines during the monsoon season.
This study utilizes multiple linear regression analysis of data from 2001 to 2024 to demonstrate that precipitation is the most significant climatic factor positively influencing soil volumetric water content in Tripoli, Libya, while relative humidity shows a positive correlation and soil temperature exhibits an inverse relationship.
This study develops a relative Pollen Risk Index for Lanzhou, China, demonstrating that spring pollen risk in this data-scarce valley city is shaped by the interplay of urban tree cover, phenological progression, and meteorological drivers, thereby providing a framework to guide urban greening strategies and public health warnings.
This study reveals that Eastern Indian Ocean Sea Surface Temperature anomalies during the 2023 positive Indian Ocean Dipole event serve as a statistically significant early-warning indicator for elevated fire risk in Sumatra, exhibiting a delayed response with a peak correlation at a two-month lag due to indirect atmospheric and terrestrial drying processes.
This study utilizes multi-temporal Landsat imagery and the Digital Shoreline Analysis System to quantify asymmetric riverbank dynamics along the Saryu River from 1995 to 2025, revealing dominant erosion on the left bank, fluctuating net erosion and accretion patterns across decades, and providing a geospatial framework for monitoring channel evolution and floodplain management.
Using the Weather Research and Forecasting model under a pseudo-global warming framework, this study projects that climate change will increase total precipitation in California's Sierra Nevada while shifting it inland and converting snowfall to rainfall, including at higher elevations, thereby threatening the future viability of ski resorts.
This study utilizes the SWAT model to demonstrate that significant land-use changes and climate variability have substantially increased runoff in the Hasdeo River catchment, with future projections under RCP scenarios indicating intensified seasonal streamflow and heightened flood risks.
This study analyzes panel data from 14 Asia-Pacific countries (2000–2019) using an ARDL model and causality tests to reveal that international tourism significantly exacerbates environmental degradation by increasing energy consumption and CO2 emissions while accelerating deforestation, thereby highlighting the ineffectiveness of current green tourism policies and the urgent need for renewable energy adoption and eco-friendly initiatives.
This study demonstrates that combining VNIR-SWIR spectroscopy with multivariate statistical techniques using satellite data (Sentinel-2, PRISMA, and EnMAP) and laboratory spectra effectively maps key physicochemical properties of soils and reservoir sediments in Brazil's semiarid region, thereby supporting sediment reuse strategies for agricultural management.