Studying streamflow processes and controlling factors is crucial for sustainable water resource management. This study demonstrated the potential of integrating hydrological models with machine learning by constructing two machine learning methods, Extreme Gradient Boosting (XGBoost) and Random Forest (RF), based on the input and output data from the Soil and Water Assessment Tool (SWAT) and comparing

The robust estimation of flood peak discharge values is critical for designing mitigation measures and increasing preparedness to natural hazards. Traditional flood estimation methods are, however, severely limited by data series shorter than the return period of interest, as they only use annual maxima or a few values above a high threshold. Here we couple two recent advances in flood estimation from

Transparent exopolymer particles (TEPs) are crucial for enhancing the flocculation of microplastics (MPs). However, quantitatively evaluating the influence of TEP on the flocculation process and addressing these effects in a flocculation model are challenging. In this study, three freshwater microalgae (Scenedesmus sp., Aulacoseira granulata, and Melosira varians) with various levels of TEP production

Reservoir operations have complex and profound impacts on local climate, particularly precipitation. Quantifying this impact is challenging because it requires the reconstruction of natural precipitation prior to reservoir operation. Instead of assuming that the natural variability of the contrast region and the study region is identical, this study develops an interpretable machine learning model

During dam discharge, supersaturated total dissolved gas (TDG) is generated in the plunge pool and transported downstream for a long distance. Fish living in supersaturated TDG water may suffer from gas bubble disease and even death. Investigating the transport time of supersaturated TDG helps to predict better the downstream impact range and duration of TDG supersaturation and then facilitate mitigation

As the planet warms, the frequency and severity of weather-related hazards such as floods are intensifying, posing substantial threats to communities around the globe. Rising flood peaks and volumes claim lives, damage infrastructure, and compromise access to essential services. However, the physical mechanisms behind global flood evolution are still uncertain, and their implications for socioeconomic

The global imperative for a low-carbon energy transition is prompting significant shifts in the coal industry, driving the need to identify and analyze emerging research hot spots in coal-related research. Traditional methods that rely on domain knowledge to identify hot spots may have limitations, such as time costs and incomplete coverage. Moreover, a comprehensive analysis of coal-related research

This research involved a pilot field trial of household-based water treatment and storage for potable water in rural communities of Colombia and Mexico. Through co-creation with the communities, key parameters were considered when designing the systems, including the efficiency of disinfection, the provision of a sufficient volume of treated water, variability of the raw water quality and access to

Wastewater treatment plants face significant challenges in shifting from energy-intensive operations to carbon-neutral, energy-efficient systems. One promising strategy is the iron-enhanced primary treatment process (Fe-CEPT), which focuses on capturing organic carbon for energy recovery rather than biological oxidation. However, while Fe-CEPT has been implemented in wastewater treatment, its potential

The spread of anthropogenic genes, such as antibiotic resistance genes (ARGs), mobile genetic elements (MGEs), virulence factor genes (VFGs), and antibiotic-resistant bacteria (ARBs), is a growing public health concern. However, the role of anthropogenic activities in the dissemination of these genes and bacteria in Tibetan Plateau rivers is still unclear. In this study, we analyzed 138 metagenomic

Global rise in electric vehicle adoption has prompted the rapid expansion of the lithium-ion battery (LIB) manufacturing and recycling industry. Many emerging classes of per- and polyfluoroalkyl substances (PFASs) have been incorporated into the LIB. However, the potential for PFAS emissions to the environment during the manufacturing and recycling processes of the LIB remains poorly understood. In

Over the past 18 years, the water level of Qinghai Lake has risen by more than 4 m, resulting in a total mass increase of approximately 22 Gt. This increase may have impacted the surface deformation and fault activity within a 100 km radius of the lake. The deformation induced by water load changes is captured by the Global Navigation Satellite System (GNSS) stations installed around Qinghai Lake.

Stagnation points have been found to be useful in characterizing groundwater flow regimes in 2D domains. However, knowledge on stagnation points in 3D basins is limited. In this study, we first derive a transient solution for 3D Tóthian basin flow under spatially undulating and periodically changing water table and examine the occurrence of stagnation points or pseudo-stagnation points, which constitute

In summer 2021, 90% of the western United States (WUS) experienced drought, with over half of the region facing extreme or exceptional conditions, leading to water scarcity, crop loss, ecological degradation, and significant socio-economic consequences. Beyond the established influence of oceanic forcing and internal atmospheric variability, this study highlights the importance of land-surface conditions

The primary objective of this study was to evaluate the effectiveness of three machine learning techniques in the confidence categorization of mineral resources within a copper deposit in Peru: extreme gradient boosting (XGBoost), random forest (RF), and deep neural network (DNN). To achieve this, geostatistical and geometric datasets were employed to categorize mineral resources into measured, indicated

Maintaining high-quality drinking water supply reservoirs is important for protecting public health. Despite extensive watershed protection efforts, reservoirs can still experience seasonal, elevated total coliform bacteria concentrations, indicator bacteria commonly used for regulations. This study aimed to understand associations between concentrations of total coliform and an array of water quality