Urban drainage systems (UDSs) are vital for managing stormwater and wastewater but face growing challenges due to urbanization, climate change and aging infrastructure. Real-time control (RTC) enhances UDSs’ performance and circumvents the need for system upgrades through adaptive management and repurposing existing systems. Meanwhile, deep reinforcement learning (DRL) has emerged as a promising tool

Fluorescent dissolved organic matter (FDOM) is a key indicator of the sources and transformation trends of organic matter in aquatic environments. However, in natural water, the composition of FDOM is often affected by external inputs, which complicates the isolation of environmental heterogeneity effects. To elucidate the intrinsic fluorescent characteristics of DOM with minimal external interference

High-precision and accurate runoff simulation is crucial for the management and allocation of water resources, the operation of hydraulic engineering, and the prevention of flood and drought disasters. However, consensus remains elusive regarding effective methods to filter and reshape the impact of numerous external factors on runoff, and theoretical foundations for such processes are also inadequately

Fractures are widely distributed in aquifers, and their geometric characteristics and hydraulic properties play a crucial role in groundwater flow and the migration of contaminants. Therefore, accurately characterizing fractures within aquifers is of great importance. In this study, we developed a novel method to invert the geometric features and aperture of fractures in fractured aquifers using deep

The absence or inaccessibility of high-quality Urban Underground Stormwater Networks (UUSNs) data hinders precise modeling and analysis of urban flood. This study proposed an algorithm for deriving UUSNs based on urban road networks and UUSNs design standards by using domain adversarial neural networks and complex network analysis. In data-supported region, the algorithm successfully captured 92% of

While climate change affects the phytoplankton biodiversity at both local and global scales, predicting phytoplankton community responses to warming is impaired by their polyphyletic complexity. High mountain lakes are highly vulnerable systems, partly due to their limited biodiversity, and forecasting their ecological trajectories is a key challenge for scientists and conservation managers. We evaluated

Evaluating the alignment between groundwater level (GWL) and groundwater salinity (GWS) is crucial for the management of groundwater. The aim of this proposed module-based study was to explore spatio-temporal coherence between GWL and GWS in the Miandoab aquifer, in northwestern Iran, adjacent Urmia Lake. In the first module, zoning was performed leading to four distinct clusters. The GALDIT as the

The daily cycle of solar radiation has a profound influence in structuring the physiology of microbes in the euphotic zone and subsequently setting the degree of coupling across trophic levels within ocean ecosystems. There has been an upsurge of interest in the biological role of the diel cycle and the ability to probe it using molecular approaches (i.e., “omics”), which now allow us to pinpoint the

Due to the high cost of constructing a hydrometric station, it is not possible to measure water level on all rivers. Therefore, the estimation of water flow of these rivers is one of the basic needs of water resources projects. In this research, various experimental methods presented to estimate the annual flood discharge in the basins, including the regression, Inglis and De’Souza and the Indian Department

Estuaries and bays provide favorable conditions for mariculture, which in turn influences regional carbon cycling. However, a key challenge lies in comprehending the role of mariculture in sedimentary organic matter (SOM) dynamics during the transport of organic carbon (OC) along river-estuary-bay continuums. To address this knowledge gap, surface sediments were collected from a typical oyster farming

Understanding the interactions between vegetation coverage and precipitation is critical for the restoration and conservation of fragile ecosystems, particularly in regions with unique climatic conditions such as the dry-hot valley of the Jinsha River. Using MOD13Q1 vegetation data and IMERG satellite precipitation data from 2001 to 2020, this study investigated the trends, time-lag, and accumulation

To accurately simulate the complex wetting and drying process involved in flooding, two widely used schemes, the thin film scheme and the minimum threshold scheme, have been incorporated into the discrete Boltzmann model for shallow water flows. Seven classical benchmarks are employed to evaluate their performance: one-dimensional steady hydraulic jump, one-dimensional ideal dam-break flow, one-dimensional

Ecohydrological processes in arid and semi-arid regions play a critical role in shaping regional climate dynamics. This study focused on sand dunes and meadows, which are typical ecosystems in the Horqin Sandland, using meteorological, soil, environmental, and eddy covariance (EC) observational data for 10 years (2013–2022). An ecohydrological model (T&C model) was developed for community-scale sandy

In the hydrological cycle, infiltration is a fundamental process that connects surface water with groundwater. Presently, the numerical computation of infiltration equations grounded in physical theories is intricate and frequently constrained by stability challenges. Empirical infiltration equations, which are formulated from experiments conducted at either point or field scales, still necessitate

Stream temperature (ST) is a key driver of water quality and ecosystem health, and the analysis and forecasting thereof benefit from the availability of high spatiotemporal resolution ST datasets. However, such datasets are limited spatially and temporally across the CONUS, particularly for small, remote streams. Available models are limited in domain (regional), spatial resolution (≥10 km), temporal

Worldwide river deltas are impacted by human activities and climatic change, but it has been challenging to quantify their contributions due to nonlinear natural processes and a lack of long‐term geomorphological data. Time‐series bathymetric data were collected at submarine Hengsha Shoal in the Yangtze Delta during 11 repeat surveys over 60 yr. Our results show that the minimum riverine sediment supply

Understanding the impacts of multiple environmental stressors on phytoplankton biomass is crucial for predicting marine ecosystem responses under global climate change. This study employed a sequential modeling framework integrating principal component analysis, generalized additive models, and artificial neural networks to improve predictions of phytoplankton chlorophyll a concentrations in the Taiwan

Sediment connectivity provides an effective geomorphological and hydrologic tool in understanding the impact of morphological complexity and anthropogenic modification on the spatial transfer of sediment fluxes within a geomorphic system. However, sediment connectivity studies presented numerous challenges in complicated topographic area, such as the hilly-gully loess region of Chinese Loess Plateau

Accurate estimation of evapotranspiration (ET) is crucial for understanding water and carbon cycles, and water resource management. Direct ET measurements are expensive and technically challenging. A common indirect estimation method involves multiplying potential evapotranspiration (PET) by a soil water stress function (β). However, a soil water stress function with static parameters (βS) was generally

Benthic turbulent bursts play a crucial role in sediment resuspension and endogenous pollution in large, shallow lakes. This study aims to compare the dynamics of bursting events under various wind- and ship-induced waves in the near-bed regions of Lake Taihu, China. Utilizing in-situ observations with high-frequency Acoustic Doppler Velocimetry, we revealed several distinct turbulence patterns associated