2353 papers
This paper demonstrates that positive estimates of long-term persistence in annual low-flow series are often misclassifications of short-memory autoregressive dependence or deterministic trends, necessitating that trend inference explicitly compare long-memory models against plausible short-memory alternatives to avoid false conclusions.
This study integrates GIS, APCS-MLR, and MixSIAR models to quantify groundwater pollution sources in rural China, revealing that fishery ponds are the primary contributors to organic and nutrient pollutants, landfill leachate drives salinity, and agricultural manure is the dominant source of nitrate contamination.
This study demonstrates that a surfactant/salt/polymer (SSP) ternary flooding system outperforms both surfactant/polymer (SP) and HPAM systems in medium- and low-permeability reservoirs by achieving superior injectivity, more uniform microscopic sweep patterns, and a higher total oil recovery factor of 55%, as validated through an integrated evaluation combining multipoint pressure measurements and microscopic visualization.
This study demonstrates that climatic seasonality and dry-season water availability act as shared environmental filters shaping the distribution of medicinal plants in tropical Malaysia, highlighting the critical role of temporal resource variability over average climatic conditions in determining species suitability.
This study utilizes a calibrated WEAP model driven by CMIP6 climate projections to demonstrate that Multan District, Pakistan, faces a structurally pre-existing water stress that will intensify by 2055 under all climate scenarios, with agriculture dominating stress in moderate pathways and domestic demand overtaking it under high-warming conditions, necessitating urgent integrated management interventions before 2035.
This study utilized a 16-year dataset from the Tanzanian section of the Mara River to demonstrate that an Adaptive Neuro-Fuzzy Inference System (ANFIS) effectively models the River Pollution Index by capturing nonlinear relationships among key water quality variables across both dry and wet seasons.
This paper demonstrates that distinct atmospheric CO₂ modeling objectives—specifically compact trend forecasting, station representation, and transport-aware explanation—require separate benchmarks and interpretations, as evidenced by the superior performance of a pure exponential model for long-term forecasting, partial pooling for station-level accuracy, and transport-aware corrections for residual refinement.
This study evaluates the groundwater quality at Osun State University, Nigeria, revealing that while the water is chemically suitable for drinking with minimal heavy metal contamination, it is rendered unfit for direct consumption due to widespread microbiological (coliform) and iron contamination, alongside localized pollution from laboratory activities.
This paper presents a multi-evidence verification protocol combining satellite remote sensing, terrain analysis, meteorological data, and physical runout modeling to independently confirm that two documented avalanches at Palandöken Ski Area in Türkiye were physically consistent with human triggering, offering a transferable method for validating trigger circumstances in under-instrumented regions.
This study analyzes spatiotemporal variability in squid catch rates in Langkawi and Kedah, Malaysia, revealing that while chlorophyll-a is the strongest environmental correlate, catch rates are predominantly driven by complex interactions between time, location, and environmental conditions, with temporal effects significantly confounding simple environmental relationships.