The study examines Permeable Interlocking Concrete Pavers (PICP) systems in urban and suburban areas facing intensified stormwater challenges due to climate change and evolving land use patterns. It investigates various factors affecting PICP performance, including soil, topography, vegetation, and rainfall intensity, using advanced modeling techniques. The study’s methodology integrates Personal Computer

This study employs groundwater simulations to examine the combined effects of waves, evaporation, and geologic heterogeneity on the flow and salinity dynamics in a shallow beach environment. The modeling results reveal that wave motion generates a saline plume beneath the swash zone, with hypersalinity near the surface triggered by evaporation. Geologic heterogeneity critically controls the temporal

Vegetation greening is observed over the Arctic, and its feedback to Arctic amplification has attracted increasing attention. Previous studies have primarily focused on the temperature effect of a single environmental variable (e.g., albedo), while the separate contributions of land surface albedo, evapotranspiration (ET) and water vapor remain underexamined. In this study, we develop knowledge-based

Water scarcity drives the nexus of water-food-energy-ecosystem (WFEE) in arid and semi-arid agricultural irrigation areas, while the impacts of different irrigation strategies can propagate from water sector to other sectors through groundwater system. In this work, a Multi-Objective Simulation Optimization (MOSO) framework that couples the numerical groundwater model (MODFLOW) with the multi-objective

A mathematical model based on conceptual equilibrium has been devised to study the role of mobile-immobile sorbents on colloid-facilitated contaminant transport through a two-dimensional, saturated, and homogeneous groundwater system with transient flow conditions. The primary drawback of the kinetic model arises from its inability to handle the large number of parameters involved in multi-dimensional

As an important large-scale river-connected lake in the middle–lower reaches of the Yangtze River, Poyang Lake has complex interactions with the main stream of the river. The full operation of the Three Gorges Dam (TGD) on the main stream of the Yangtze River has caused substantial changes in the relationship between the river and the lake, and the hydrological and hydrodynamic regime of Poyang Lake

The enrichment of As in the western Qinghai–Tibet Plateau and its surrounding basins has been widely reported. However, the spatial distribution of arsenic content in the Surface’s Critical Zone (SCZ) of the Shiquan River Basin in the western Qinghai–Tibet Plateau is poorly understood, as is the mechanisms through which water–rock interactions and surface water-groundwater interactions influence arsenic

The need for man-made reservoirs has increased with the growing population and changing climate. One of the most intensive human-induced alterations of the hydrological cycle is the regulated water storage in reservoirs, however, its quantification in large-scale reservoirs in China is inadequate. The lack of such information limits the rational management and utilization of water resources in reservoirs

Excessive depletion of soil moisture by artificial forests in the vegetation restoration areas of the Loess Plateau has attracted widespread attention. To assess potential risks of soil moisture deficit, we needed on-site vegetation and soil sampling data, as well as UAV images from the Chaigou Watershed for three-dimensional analysis, combining both sampling and raster data. Three-dimensional surfaces

Flood forecasting in data-scarce regions poses significant challenges due to irregular rainfall patterns and limited hydrological monitoring networks, particularly in semi-arid regions in Africa, South America, and Asia. However, despite significant efforts and advancements, there remains a substantial gap in the accurate prediction of flood events necessary for effective risk management and mitigation

Critical shear stress is a pivotal parameter that describes the bedload transport and riverbed stability. Recent studies indicate that different interevent periods in gravel-bed streams can lead to a realignment of riverbed structures, thereby disrupting the bedload transport. In this research, a series of flume experiments were conducted to study the effect of stress history on the critical shear

Supra-permafrost aquifers within the active layer are present in the Arctic during summer. Permafrost thawing due to Arctic warming can liberate previously frozen particulate organic matter (POM) in soils to leach into groundwater as dissolved organic carbon (DOC). DOC transport from groundwater to surface water is poorly understood because of the unquantified variability in subsurface properties and

Terraces of the Yellow River are among the most crucial geomorphological landforms pertaining to human survival on the Loess Plateau. After more than half a century of surface flood irrigation, rapid rises in groundwater levels have led to frequent geological disasters, causing a rapid short-term evolution of Yellow River terraces, and an increasingly serious contradiction between this rapid evolution

Developing a two-source evapotranspiration (ET) method is a major challenge of the accurate ET estimation. As a single source ET method, the performance of Non-Parametric (NP) approach is limited by the unavailability of conventional equation of equilibrium ET in the water-limited situation. To solve this problem, a two-source equilibrium ET equation derived from Penman–Monteith equation expressed

The spatiotemporally continuous data of normalized difference snow index (NDSI) are key to understanding the mechanisms of snow occurrence and development as well as the patterns of snow distribution changes. However, the presence of clouds, particularly prevalent in polar regions such as the Greenland Ice Sheet (GrIS), introduces a significant number of missing pixels in the MODIS NDSI daily data

Managed Aquifer Recharge (MAR), a reliable technique for groundwater restoration in arid regions, struggles with the limited recovery of stored water in salt-affected areas due to fresh-saline water mixing. Groundwater recharge and recovery project performance in saline aquifers is primarily controlled by operational factors because it influences fresh-saline water mixing significantly. Understanding

Tropical cyclone (TC) induced compound floods involve dynamic interactions among astronomical tides, storm surges, precipitation, and associated river pulses. This study employs a one-way coupled WRF, Delft3D, and HEC-RAS model to investigate the impacts of oceanic, pluvial, and fluvial processes on compound flood dynamics during Typhoon Hato (2017) in the Pearl River Estuary (PRE), South China. Total

While the Gravity Recovery And Climate Experiment (GRACE) and its Follow-On (GFO) missions have offered valuable observations for monitoring total water storage anomalies (TWSA), their short record constrains our ability to study the complete range and long-term variability of TWSA in the Nile River Basin (NRB). Previous studies reconstructing TWSA in this region either relied on specific hydrological

Monitoring groundwater-surface water (GW-SW) interactions is essential for effectively managing the available water resources in semi-arid and arid environments. The focus of this study was to quantify how much SW is being exchanged with the shallow GW aquifer in the Treasure Valley (TV), Idaho, USA. Previous water budgets estimated regional canal seepage without incorporating canal variability and

As hydroclimatic extremes, drought triggered by climate change and human activities are recurrent over China. Selecting an appropriate comprehensive drought index is an important measure to comprehensively monitor drought characteristics. Precipitation and Terrestrial Water Storage Anomalies (TWSA) are important variables for assessing drought triggered by water deficiency in the atmosphere and terrestrial

In urbanized watersheds, climate change and human activities significantly impact runoff, yet traditional hydrological models cannot dynamically adjust parameters based on land use changes, and calibration methods fail to capture hydrological processes under all flow conditions accurately. This study addresses these issues by first parallelizing the chaotic particle swarm genetic algorithm (CPSGA)

Generational mechanisms and spatio-temporal evolution patterns of coastal urban flood risk involve complex interactions between climate change, sea level rise and human-induced factors, necessitating integrated adaptive flood management strategies to mitigate evolving vulnerabilities. This systematic review offers a thorough assessment of the challenges and strategic opportunities for sustainable adaptation

Heterogeneity of soil hydraulic (e.g., hydraulic conductivity (KS), porosity (θS)) and chemical (e.g., solid-phase adsorption (Kd)) properties complicates contaminant transport by creating spatial variability in sources of contaminant leaching. There is a knowledge gap on the effect of the interplay between these properties on the retardation and transport of per- and polyfluoroalkyl substances (PFAS)

Subsurface irrigation by recharging shallow phreatic aquifers to raise the water table allows treated wastewater and other marginal water to be used in irrigation, without directly exposing crops to contaminants of emerging concern (CECs). The effects of soil and aquifer properties, environmental hydrological fluxes, irrigation parameters, and CEC biogeochemical reaction parameters, on crop and environmental

Modeling inundation patterns resulting from compound flooding induced by tropical cyclones presents significant challenges due to the complex interplay of drivers and features affecting inundation mechanisms. This study introduces a machine learning framework designed to optimize the prediction of inundation depth by balancing model performance, computational costs and efforts for input data retrieval

Over-exploitation of water resources leads to water scarcity and aggravation of hydrological drought. An approach to addressing the problem is to invest in increasing irrigation efficiency (IE). However, higher IE may lead to the paradox of IE, that is, after increasing IE, irrigation water consumption (IWC) could increase rather than decrease. An important cause of the paradox of IE is that increasing

Climate change stimulates the emergence of floods and increases flood risk for communities, resulting in extensive casualties and economic loss. Thus, flood resilience has been the focus of much attention. Integrated and holistic metrics are important for an accurate urban flood resilience evaluation. However, performance-based metrics involving surface inundation do not consider the socioeconomic

Lake is commonly acknowledged as a contributor to atmospheric CO2. Current manual sampling for estimations of CO2 emissions from lakes predominantly relies on daytime CO2 efflux (FCO2) assessments, which tends to overlook the diel variability of FCO2. This potentially introduces bias into CO2 emission estimates. The magnitude of diel FCO2 difference between seasons and the relative importance of underlying

Numerous studies have demonstrated the effectiveness of CYGNSS (Cyclone Global Navigation Satellite System) data to detect inland water bodies. However, most of them focus on the detection of surface water extent, rather than the water levels and depths. Most of the existing studies on inland water level altimetry using CYGNSS data are based on the CYGNSS raw IF (raw Intermediate Frequency) data, and

Precipitation, a crucial element of the water cycle, significantly impacts surface streamflow and flooding dynamics. The latest version of Integrated Multi-satellitE Retrievals for GPM (IMERG V07) has garnered global attention for its advancements over its predecessor, IMERG V06. However, the improvement in precipitation rates has not yet been fully quantified, especially when translated into improvements

Flood risk analysis is vital for real-time reservoir operation. The reservoir operation horizon (OH) is generally longer than the streamflow forecast horizon (FH), while the gap between the FH and the OH was seldom considered in analytical flood risk models. This study develops an analytical two-stage risk model covering the period within the FH (the first stage) and from the FH to the OH (the second

As global climate change leads to increased spatial and temporal heterogeneity in precipitation patterns, seasonal droughts are becoming more frequent in subtropical monsoon regions. Some conifer species despite having high embolism resistance, still succumb to the effects of climatic drought. Therefore, assessing a plant’s drought resistance based solely on hydraulic traits does not provide a comprehensive

With increasing concerns of greenhouse gas (GHG) emissions from reservoirs, the debate surrounding whether hydropower qualifies as green energy has become increasingly contentious. However, quantifying the impact of dam construction on river GHG emissions still poses challenging due to the absence of direct observational data on river GHG emissions pre- and post-damming. In the present study, the differences

Hydrological connectivity, the capacity of a river network to transport water and associated materials, can be evaluated through structural and functional approaches. Structural connectivity, often assessed using readily available topographic and network data, describes the static arrangement of the river network. Functional connectivity, however, reflects the dynamic flow processes within the network

As a unique and important ecosystem, tidal flats provide a variety of ecosystem functions and services. Mapping tidal flats is essential for the protection and management of coastal ecosystems. However, large-scale tidal flats mapping still faces challenges due to the tidal variation and spectral similarity between tidal flats and inland wetlands. Previous methods rely on the coastlines or maximum

In floodplain lakes, alterations in hydrological conditions can lead to changes in the structure of aquatic communities, potentially affecting biodiversity. Despite their critical role, the influence of specific hydrological and ecological factors on zooplankton community assembly and diversity remains poorly understood. We employed various methods to clarify how aquatic communities assemble and maintain

Urban flood modelling is key to understand flood risks and develop effective interventions in flood management. Deep learning (DL), known for its robust and automatic feature extraction capabilities, has been applied for urban flood predictions. However, the hybrid spatiotemporal structure of conventional DL-enabled urban flood models is limited in terms of accuracy and efficiency. To address this

Accurately estimating multi-layer soil moisture (SM) through remote sensing methods presents inherent challenges and limitations. Multi-layer SM provides valuable insights into the intricate interactions within the “soil-vegetation-atmosphere” system. This study explored the temporal dynamics of multi-layer SM in the Shandian River Basin, China, from 2019 to 2020. Through sensitivity analysis, we demonstrated

Accurate agricultural drought prediction is crucial for preparation for regional agricultural drought disasters. However, existing prediction models, while making some progress, have trade-offs between high accuracy and computational complexity and a poor understanding of prediction mechanisms. To bridge this gap, this study introduces the Meta-Gaussian model, a state-of-the-art statistical forecasting

Nitrogen (N) pollution is the major type of non-point pollution in watersheds. The nitrogen transport process is significantly controlled by the watershed hydrological connectivity under different rainfall conditions. Changes in hydrological connectivity were controlled by extreme rainfall events, resulting in a more uncertain response mechanism for dynamic nitrogen transport. In this study, four typical

Algal blooms and sediment diatoms are crucial indicators of lake water ecology, influenced by water quantity and quality. However, the coupled effects of water quality and quantity changes on algal blooms are still unclear, especially for lakes in cold and arid regions. This study assessed the long-term variations in algal blooms in Hulun Lake using a novel approach combining remote sensing and sediment

Recent researches have highlighted the significance of nonlocal processes in understanding the morphodynamics and sediment transport across landscapes. Nonlocal processes in sediment transport refer to the influence of landscape properties beyond the immediate vicinity of a given point on the sediment flux. Existing nonlocal models, employing fractional operators, aim to capture global correlated nonlocality

This paper presents new findings from analyses of a random fractional kinematic wave equation (rfKWE) for overland flow. The rfKWE is featured with orders of temporal and spatial fractional derivatives and with the roughness parameter, the effective rainfall intensity and infiltration rate as random variables. The new solutions are derived with the aid of a numerical method named the homotopy perturbation

Terrestrial moisture recycling is an essential hydrological component and a significant source of the atmosphere’s humidity budget in arid and semi-arid inland regions. Investigations on moisture recycling using the stable hydrogen and oxygen isotopes is currently a focal point in hydrologic research. However, the direct quantification of recycling ratio based on isotopic composition of evapotranspiration

Transit time distributions (TTDs) of streamflow are informative descriptors of catchment hydrological functioning and solute transport mechanisms. Conventional methods for estimating TTDs generally require model calibration against extensive tracer data time series, which are often limited to well-studied experimental catchments. We challenge this limitation and propose an alternative approach that

Aquatic vegetation in rivers influences the flow structure, impacting the sediment transport in the river and further changing the ecosystem and geomorphologic evolution of the river. In this paper, an improved random displacement model (RDM) is proposed to investigate the concentration of suspended sediment (CSS) in flows with flexible submerged vegetation. Considering the effect of sediment resuspension

As research in the field of analysing urban flood rainfall events progresses, it is evident that dual-drainage models remain the standard for producing the most realistic results of flood extension and water depth. However, the development of these sophisticated models is contingent upon the availability of comprehensive data sets that can be used to simulate runoff behaviour on the surface and account

The Gravity Recovery And Climate Experiment (GRACE) and GRACE-FollowOn (GRACE(−FO)) satellites have been monitoring Earth’s changes in terrestrial water storage (TWS) or surficial mass changes at monthly sampling and a spatial scale longer than ∼330 km (half wavelength) over the past two decades. At monthly sampling or revisit time, the use of satellite gravimetry is difficult to effectively monitor

Reconstructions allow us to extend the Gravity Recovery And Climate Experiment (GRACE) data record into the past and bridge the one-year gap between GRACE and its successor, GRACE-FO (Follow on). Reconstructed total water storage anomalies (TWSA) are obtained by identifying relations between GRACE-derived TWSA and climate variables via statistical and machine learning techniques. However, a comparative

Tamarix ramosissima is a dominant species in desert ecosystems and an ecological barrier species in arid areas, playing a crucial role in stabilizing dunes and preventing desertification. In this study, river water, groundwater, soil water, and T. ramosissima individual samples were collected from three sites in July and October 2023 at the Daliyaboyi Oasis located at the tail of the Kriya River in

Catchment classification based on hydrological similarity helps to understand the control factors of hydrological behavior. However, the relationship between hydrological behavior and its influencing factors has been unclear in Mainland of China because long-term and widely-distributed flow data is unavailable. Thus, this study intends to identify control factors of hydrological behavior in China’s

Gridded meteorological data products often fall short in accurately capturing the amount of precipitation and its patterns in regions characterized by high elevations and complex topography. However, realistic precipitation data is crucial for high-alpine hydrological modeling. To address these discrepancies, we analyze possible corrections for solid, liquid and total precipitation of the 1 km2 gridded

Evapotranspiration (ET) is a critical climate and ecosystem variable that interconnects water, energy, and carbon cycles. Breathing Earth System Simulator (BESS) is one of the state-of-the-art biophysical models capable of producing spatio-temporal continuous ET results. However, we found that since the BESS model does not use an explicit constraint on soil moisture (SM), it has a relatively lower

This paper develops a comprehensive two-dimensional (2D) groundwater model that surpasses traditional one-dimensional approaches by incorporating extensive hydrological and geological data typically acquired through well drilling. The primary objective of this research is to explore and characterize the complex dynamics of groundwater flow within sloping heterogeneous aquifers subject to rainfall-induced

Drought is one of the most extensive natural disasters affecting human society. It spreads through land–atmosphere system and hydrological cycle, and evolves into different types of drought, such as hydrological drought, agricultural drought, socio-economic drought, groundwater drought and ecological drought. Extensive recent research has explored classifications, methods, characteristics, driving

Soil water and temperature regimes in urban environments are greatly affected by different surface treatments, and these may lead even to changes in soil properties. The goal of this study was to find out how soil properties had changed after 8 years of soil surface modification. Five surface treatment scenarios were considered: bare soil (BS), bark chips (BC), concrete paving (CP), mown grass (MG)

Soil saturated hydraulic conductivity plays a crucial role in the fields of hydrology, geotechnical and geological engineering. This study investigated the relationship between root characteristics and soil saturated hydraulic conductivity in a grassed soil. The saturated hydraulic conductivity of soil specimens with varying soil dry densities and planting densities were experimentally determined.

Mitigating severe losses caused by pluvial floods in urban areas with dense population and property requires effective flood prediction for emergency measures. Physics-based models face issues with low computational efficiency for real‐time flood prediction. An alternative approach for rapid prediction instead of physics-based models is to predict from a data-driven perspective. However, data-driven

The development of artificial intelligence has introduced new perspectives to the field of hydrological forecasting. However, there is still a lack of research on efficiently identifying the physical characteristics of runoff sequences and developing prediction models that consider global and local sequence features. This study proposes a parallel computing prediction model called IMCAEN (Integrated

The overuse of nitrogen fertilizer in rice field of China leads to nitrogen loss and serious water pollution, so it is vital to accurately predict soil nitrogen transport in rice field. But the prediction errors of soil nitrogen transport are great due to complex chemical and reactive conditions and uncertain parameters in real rice fields. In this study, a prediction model of soil nitrogen transport