Advancing the science of headwater streamflow for global water protection

Nature Water, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

Язык: Английский

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Stream Network Dynamics of Non‐Perennial Rivers: Insights From Integrated Surface‐Subsurface Hydrological Modeling of Two Virtual Catchments

Water Resources Research, Год журнала: 2024, Номер 60(2)

Опубликована: Фев. 1, 2024

Abstract Understanding the spatio‐temporal dynamics of runoff generation in headwater catchments is challenging, due to intermittent and fragmented nature surface flows. The active stream network non‐perennial rivers contracts expands, with a dynamic behavior that depends on complex interplay among climate, topography, geology. In this work, CATchment HYdrology, an integrated surface–subsurface hydrological model (ISSHM), used simulate two virtual same, spatially homogeneous, subsurface characteristics (hydraulic conductivity, porosity, water retention curves) but different morphology. We run sets simulations reproduce sequence steady‐states at catchment wetness levels transient conditions analyze joint variations length ( L ) discharge outlet Q high resolutions. shape curves differs does not depend climate forcing, as it mainly controlled by underlying topography. then analyzed suitability topographic index contributing area identify spatial configuration maximum catchments. These morphometric parameters provided good estimate distribution flowing both study Our numerical indicate ISSHMs have potential accurately describe networks processes driving such that, overall, they can be useful tools gain insights into main physical drivers streams.

Язык: Английский

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Ecosystem-size relationships of river populations and communities

Trends in Ecology & Evolution, Год журнала: 2024, Номер 39(6), С. 571 - 584

Опубликована: Фев. 21, 2024

Язык: Английский

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Improving calibration of groundwater flow models using headwater streamflow intermittence

Hydrological Processes, Год журнала: 2024, Номер 38(6)

Опубликована: Июнь 1, 2024

Abstract Non‐perennial streams play a crucial role in ecological communities and the hydrological cycle. However, key parameters processes involved stream intermittency remain poorly understood. While climatic conditions, geology land use are well identified, assessment modelling of groundwater controls on streamflow intermittence challenge. In this study, we explore new opportunities to calibrate process‐based 3D flow models designed simulate hydrographic network dynamics groundwater‐fed headwaters. Streamflow measurements maps considered together constrain effective hydraulic properties aquifer hydrogeological models. The simulations were then validated using visual observations water presence/absence, provided by national monitoring France (ONDE). We tested methodology two pilot unconfined shallow crystalline catchments, Canut Nançon catchments (Brittany, France). found that both expansion/contraction required simultaneously estimate conductivity porosity with low uncertainties. calibration allowed good prediction intermittency, terms spatial extent. For studied, Nançon, is close reaching 1.5 × 10 −5 m/s 4.5 m/s, respectively. they differ more their storage capacity, estimated at 0.1% 2.2%, Lower capacity leads higher level fluctuations, shorter response times, an increase proportion intermittent reduction perennial flow. This framework for predicting headwater can be deployed improve our understanding different geomorphological, geological contexts. It will benefit from advances remote sensing crowdsourcing approaches generate observational data products high temporal resolution.

Язык: Английский

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How do different runoff generation mechanisms drive stream network dynamics? Insights from physics‐based modelling

Hydrological Processes, Год журнала: 2024, Номер 38(7)

Опубликована: Июль 1, 2024

Abstract Non‐perennial river catchments are characterized by an ever‐changing spatial configuration of their flowing streams. A combination empirical data and simplified analytical frameworks has been frequently used in the literature to analyse co‐evolution total active stream length () catchment discharge at outlet (). However, despite increasing availability field data, understanding how runoff generation processes drive spatio‐temporal dynamics non‐perennial reaches remains challenging. In this paper we use CATHY, integrated surface–subsurface hydrological model (ISSHM), investigate impact saturation‐excess (Dunnian) infiltration‐excess (Hortonian) on network two virtual with spatially homogeneous subsurface properties but different morphology. The numerical simulations show that when surface is triggered mechanisms, domain slowly saturated, gradually expands upstream from towards divides. these conditions, specific inflow per unit contributing area relatively uniform along network, thereby implying display a monotonically one‐to‐one relationship. On other hand, mechanisms lead more heterogeneous saturation patterns domain. particular, during wetting phase, Hortonian originate highly transient conditions non‐uniform distribution network. This reflected hysteretic relation marked asymmetry between drying phases event. application ISSHM proved be useful tool elucidate expansion retraction rivers.

Язык: Английский

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The importance of source data in river network connectivity modeling: A review

Limnology and Oceanography, Год журнала: 2024, Номер unknown

Опубликована: Окт. 7, 2024

Abstract River network connectivity (RC) describes the hydrologic exchange of water, nutrients, sediments, and pollutants between river channel other “sites” via heterogenous flowpaths along corridor. As water moves downstream it carries these constituents, creating a stream‐to‐ocean continuum that regulates global carbon, nutrient cycling. models have developed over many decades, culminating in recent years with network‐scale RC explicitly simulate transport elements from headwaters to coasts, sometimes requiring contain tens millions reaches. These advances provide transformative insights into aggregate effects on material across scales local global. Yet, reviews pointed several challenges need be overcome continue advancing modeling. In service goals, I summarize maps identify similarities differences large‐scale modeling landscape. Although our computational upscaling abilities significantly improved revealed new insights, current are still limited by quantity, quality, resolution, lack standardization available situ databases source data necessary for This suggests we can extend if keep improving datasets, while continuously revisiting physics theory explain those data. doing so, will expand role informing quality management future.

Язык: Английский

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A Review on Storage Process Models for Improving Water Quality Modeling in Rivers

Hydrology, Год журнала: 2024, Номер 11(11), С. 187 - 187

Опубликована: Ноя. 4, 2024

Water quality is intricately linked to the global water crisis since availability of safe, clean essential for sustaining life and ensuring well-being communities worldwide. Pollutants such as industrial chemicals, agricultural runoff, untreated sewage frequently enter rivers via surface runoff or direct discharges. This study provides an overview key mechanisms governing contaminant transport in rivers, with special attention storage hyporheic processes. The process conceptualizes a ubiquitous reactive boundary between main channel (mobile zone) its surrounding slower-flow areas (immobile zone). Research from last five decades demonstrates crucial role zones influencing solute residence time, nutrient cycling, pollutant degradation. A review models highlights significant advancements, including like transient model (TSM) multirate mass (MRMT) model, which effectively capture complex zone dynamics time distributions. However, more widely used classical advection–dispersion equation (ADE) cannot exchange, limiting their application environments contributions. Despite these challenges remain accurately quantifying relative contributions degradation, especially smaller streams dominated by exchange. Future research should integrate detailed field observations advanced numerical address gaps improve predictions across diverse river systems.

Язык: Английский

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Groundwater-Surface Water Interactions Research: Past Trends and Future Directions

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

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Actual water volume assessment in a watershed via the surface drone

Land Reclamation and Hydraulic Engineering, Год журнала: 2024, Номер 14(2), С. 275 - 286

Опубликована: Янв. 1, 2024

Purpose: is to assess the actual water volumes in objects (reservoirs, lakes, ponds) identify degree of maximum anthropogenic load, namely, pollutant release. Materials and methods. Lake Svyatoe, located Kosino-Ukhtomsky administrative district Moscow, was chosen as research experimental object for testing automatized system. The programs Google Earth Pro, Surfer 22, local author's data processing, unmanned surface vehicle (USV), echo sounder Garmin Striker Cast GPS were used study. Automated systems an (unmanned boat – USV), sensors (including sounder) acceptance processing can be applied improve organize continuous monitoring objects. Results. volume assessment 215 thousand cubic meters by means USV its mounted demonstrated. methodology operation resources exploration developed. Conclusions. Taking Svyatoe example survey, it concluded that applicable any other body, including reservoirs. Through regular survey using possible record not only changes volume, but also bottom relief changes, sedimentation or overgrowing processes at specific sites. It allows calculating allowable impact on given object, discharge intensity a particular moment time.

Язык: Английский

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Evidence of Subsurface Control on the Coevolution of Hillslope Morphology and Runoff Generation

Water Resources Research, Год журнала: 2024, Номер 60(10)

Опубликована: Окт. 1, 2024

Abstract Topography is a key control on runoff generation, as topographic slope affects hydraulic gradients and curvature water flow paths. Simultaneously, generation shapes topography through erosion, affecting landscape morphology over long timescales. Previous modeling efforts suggest that subsurface hydrological properties, relative to climate, are mediators of this relationship. Specifically, when transmissivity storage capacity low, (a) saturated areas storm should be larger more variable, (b) hillslopes shorter lower relief, assuming other geomorphic factors held constant. However, it remains uncertain whether properties can exert such strong controls emergent in real landscapes. We compared function two watersheds with very similar climatic tectonic history, but different due contrasting bedrock lithology. found were systematically dynamic at the site. To test these features could result coevolution between topography, function, we estimated all parameters coupled groundwater‐landscape evolution model for each Limitations revealed model's ability reproduce aspects hydrologic behavior, however, results suggested differences hillslope length variably area sites explained by not process rates alone. This work demonstrates one way hydrology profoundly affect evolution.

Язык: Английский

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