Are regional groundwater models suitable for simulating wetlands, rivers and intermittence? The example of the French AquiFR platform DOI Creative Commons

Luca Guillaumot,

Simon Munier, Ronan Abhervé

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 644, P. 132019 - 132019

Published: Sept. 23, 2024

Language: Английский

Predicting Salinity and Alkalinity Fluxes of U.S. Freshwater in a Changing Climate: Integrating Anthropogenic and Natural Influences Using Data-Driven Models DOI

E Beibei,

Shuang Zhang, Elizabeth Carter

et al.

Applied Geochemistry, Journal Year: 2025, Volume and Issue: unknown, P. 106285 - 106285

Published: Jan. 1, 2025

Language: Английский

Citations

1

Applying Machine Learning Methods to Improve Rainfall–Runoff Modeling in Subtropical River Basins DOI Open Access

Haoyuan Yu,

Qichun Yang

Water, Journal Year: 2024, Volume and Issue: 16(15), P. 2199 - 2199

Published: Aug. 2, 2024

Machine learning models’ performance in simulating monthly rainfall–runoff subtropical regions has not been sufficiently investigated. In this study, we evaluate the of six widely used machine models, including Long Short-Term Memory Networks (LSTMs), Support Vector Machines (SVMs), Gaussian Process Regression (GPR), LASSO (LR), Extreme Gradient Boosting (XGB), and Light (LGBM), against a model (WAPABA model) streamflow across three sub-basins Pearl River Basin (PRB). The results indicate that LSTM generally demonstrates superior capability than other five models. Using previous month as an input variable improves all When compared with WAPABA model, better two sub-basins. For simulations wet seasons, shows slightly model. Overall, study confirms suitability methods modeling at scale basins proposes effective strategy for improving their performance.

Language: Английский

Citations

7

The Duration of Dry Events Promotes PVC Film Fragmentation in Intermittent Rivers DOI
Nans Barthélémy, Florian Mermillod‐Blondin, Stefan Krause

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(28), P. 12621 - 12632

Published: July 2, 2024

The majority of microplastics (MPs) found in the environment originate from plastic fragmentation occurring and are influenced by environmental factors such as UV irradiation biotic interactions. However, effects river drying on remain unknown, despite global prevalence watercourses experiencing flow intermittence. This study investigates, through laboratory experiments, coupled duration PVC film induced artificial mechanical abrasion. shows that increases with an increase abundance size formed MPs well mass loss initial item, significant differences for durations >50% experiment duration. average treatments exposed to severe was almost two times higher than nonexposed drying. Based these results, we developed a proof concept Intermittence-Based Plastic Fragmentation Index may provide insights into catchments large hydrological variability. present suggests intermittence rivers streams can lead increasing fragmentation, unraveling new pollution freshwater systems.

Language: Английский

Citations

6

Carbon emissions from inland waters may be underestimated: Evidence from European river networks fragmented by drying DOI Creative Commons
Naiara López‐Rojo, Thibault Datry, Francisco J. Peñas

et al.

Limnology and Oceanography Letters, Journal Year: 2024, Volume and Issue: 9(5), P. 553 - 562

Published: July 4, 2024

Abstract River networks contribute disproportionately to the global carbon cycle. However, estimates of emissions from inland waters are based on perennial rivers, even though more than half world's river length is prone drying. We quantified CO 2 and CH 4 flowing water dry riverbeds across six European drying (DRNs, 120 reaches) three seasons identified drivers using local regional variables. Drivers differed between non‐perennial reaches, both were controlled partly by annual severity, reflecting a legacy effect. Upscaled for DRNs at scale revealed that contributed up 77% emissions, calling an urgent need include rivers in greenhouse gas emissions.

Language: Английский

Citations

5

Alternating Drying and Flowing Phases Control Stream Metabolism Through Short‐ and Long‐Term Effects: Insights From a River Network DOI Creative Commons
Naiara López‐Rojo, Romain Sarremejane, Arnaud Foulquier

et al.

Journal of Geophysical Research Biogeosciences, Journal Year: 2025, Volume and Issue: 130(3)

Published: March 1, 2025

Abstract Stream metabolism is a key biogeochemical process in river networks, synthesizing the balance between gross primary production (GPP) and ecosystem respiration (ER). Globally, more rivers streams are drying due to climate change water abstraction for human uses this can alter organic carbon residence time leading decoupled ER terrestrial matter supply. Although consequences of on CO 2 emissions have been recently quantified, its effects stream still poorly studied. We addressed long‐term rewetting events by monitoring oxygen dynamics at 20 reaches across network, including perennial (PR) nonperennial (NPR) one year. also calculated several climatic land use variables characterized local abiotic conditions biofilm sediment communities five sampling dates. was significantly higher NPR than PR demonstrating situ metabolism. When analyzing drivers GPP, we found direct positive effect negative GPP. Drying altered microbial community composition with algal from NPRs being different those PRs. In short‐term, total consumption (respiration) during positively related duration precedent nonflow period. Our results show that had an important both short‐ long term, supporting need global estimates

Language: Английский

Citations

0

Projections of streamflow intermittence under climate change in European drying river networks DOI Creative Commons
Louise Mimeau, Annika Künne, Alexandre Devers

et al.

Hydrology and earth system sciences, Journal Year: 2025, Volume and Issue: 29(6), P. 1615 - 1636

Published: March 25, 2025

Abstract. Climate and land use changes, as well human water flow alteration, are causing worldwide shifts in river dynamics. During the last decades, low flows, intermittence, drying have increased many regions of world, including Europe. This trend is projected to continue amplify future, resulting more frequent intense hydrological droughts. However, due a lack data studies on temporary rivers past, little known about processes governing development intermittence drying, their timing frequency, or long-term evolution under climate change. Moreover, understanding impact change up crucial assess aquatic ecosystems, biodiversity functional integrity freshwater systems. study one first present future projections intermittent networks analyse changes patterns at high spatial temporal resolution. Flow were produced using hybrid model forced with projection from 1985 until 2100 three scenarios six European networks. The studied watershed areas situated different biogeographic regions, located Spain, France, Croatia, Hungary, Czechia, Finland, range 150 350 km2. Additionally, indicators developed calculated (1) characteristics spells reach scale (2) extent network various time intervals. results for all show that increase expand space, despite differences amplitude changes. Temporally, addition average frequency events, duration increases over year. Seasonal expected result an earlier onset longer persistence throughout Summer maxima likely shift spring, extended periods additional occurring autumn extending into winter season some regions. A analysis extreme events shows dry observed recent years could become regular by end century. we observe transitions perennial reaches future.

Language: Английский

Citations

0

Enhancing Precipitation Intensity Estimation Using ERA5-Land Reanalysis with Statistical and Machine Learning Approaches DOI Creative Commons
Alireza Abdolmanafi, Bahram Saghafian, Saleh Aminyavari

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104928 - 104928

Published: April 1, 2025

Language: Английский

Citations

0

Exploring the spatio-temporal dynamics of disturbed metacommunities: A mechanistic modeling approach to species resistance and resilience strategies in drying river networks DOI Creative Commons
Lysandre Journiac, Franck Jabot, Claire Jacquet

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 506, P. 111136 - 111136

Published: May 1, 2025

Language: Английский

Citations

0

Improving calibration of groundwater flow models using headwater streamflow intermittence DOI
Ronan Abhervé, Clément Roques, Jean‐Raynald de Dreuzy

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(6)

Published: June 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.

Language: Английский

Citations

3

River Drying Causes Local Losses and Regional Gains in Aquatic Invertebrate Metacommunity Diversity: A Cross‐Continental Comparison DOI Creative Commons
Daniel Escobar‐Camacho, Julie Crabot, Rachel Stubbington

et al.

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(2)

Published: Feb. 1, 2025

ABSTRACT Drying river networks include non‐perennial reaches that cease to flow or dry, and drying is becoming more prevalent with ongoing climate change. Biodiversity responses have been explored mostly at local scales in a few regions, such as Europe North America, limiting our ability predict future global scenarios of freshwater biodiversity. Locally, acts strong environmental filter selects for species adaptations promoting resistance resilience desiccation, thus reducing aquatic α‐diversity. At the network scale, generates complex mosaics dry wet habitats, shaping metacommunities driven by both dispersal processes. By repeatedly resetting community succession, can enhance β‐diversity space time. To investigate transferability these concepts across continents, we compiled analyzed unique dataset 43 invertebrate from South America. In Europe, α‐diversity was consistently lower than perennial reaches, whereas this pattern not evident Concomitantly, higher ones but general, predominantly turnover rather nestedness. Dispersal main driver metacommunity dynamics, challenging prevailing views science filtering primary process metacommunities. Lastly, decreased duration increased, consistent Europe. Overall, had continent‐specific effects, suggesting limited knowledge accumulated America other biogeographic regions. As change intensifies, increasing, results underscore importance studying its effects different The also suggests management efforts should seek connectivity between effectively monitor, restore conserve

Language: Английский

Citations

0