Reservoir Filling Up Problems in a Changing Climate: Insights From CryoSat‐2 Altimetry DOI Creative Commons
Z. Wang, Liguang Jiang, Karina Nielsen

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(10)

Published: May 13, 2024

Abstract Recent droughts have severely threatened water security in many regions worldwide. Reservoirs, designed to combat and secure supply partially, are reported failing fill up the total capacity due severe droughts. How bad is climate affecting reservoir filling on a global scale? This issue has not been studied. We present big picture of reservoirs crisis using satellite altimetry. Thanks unique characteristics CryoSat‐2, 525 worldwide were investigated during 2010–2022. Results show that most (93%) found fully filled at least once. About 21% reservoirs, which mainly located Southern Hemisphere, significant decline levels. Moreover, about 20% with larger level fluctuations (>3 m) less developed economies, indicating informed operation rules needed. Further analyses indicate largely affected by extreme events, such as ENSO.

Language: Английский

Quantifying the changes in solute transport caused by human influence on river connectivity in inland river basins DOI
Wenhao Zhang, Guofeng Zhu,

Ling Zhao

et al.

CATENA, Journal Year: 2024, Volume and Issue: 246, P. 108360 - 108360

Published: Sept. 9, 2024

Language: Английский

Citations

26

The Cooling Effect of Oasis Reservoir‐Riparian Forest Systems in Arid Regions DOI Creative Commons

Yinying Jiao,

Guofeng Zhu, Siyu Lu

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(10)

Published: Oct. 1, 2024

Abstract In arid regions with limited water resources, numerous reservoirs have been built to support economic and social development. However, how the construction of interacts surrounding ecosystem affect temperature remains unclear. Spanning 2018 2022 in Shiyang River Basin, we collected surface precipitation, as well stem soil samples. Using isotopic methods, quantified evaporation oasis reservoir‐riparian forest system affects local climate. Our findings show that latent heat released by evapotranspiration from reservoir riparian reduces daily maximum range 7°C 6°C respectively, compared downstream areas sparse vegetation around artificial lakes. Additionally, it enhances moisture recycling, increasing precipitation. This study reveals regional cooling effect due interactions between bodies, atmosphere, vegetation. We propose establishing systems can positively impact climate regulation serve an effective strategy for adapting global warming.

Language: Английский

Citations

25

Occurrence characteristics and transport processes of riverine microplastics in different connectivity contexts DOI Creative Commons

Feiyang Xia,

Wei Yang,

Haixiao Zhao

et al.

npj Clean Water, Journal Year: 2025, Volume and Issue: 8(1)

Published: Jan. 6, 2025

This study is the first to quantify migration processes of riverine microplastics under different connectivity contexts based on spatial variation characteristics microplastic loads. Microplastics in multidammed, single-dammed, and nondammed rivers are significantly three categories: abundance, flux, inventory. Artificial damming can lead multicategory reorganization microplastics, including size, polymer type, shape, color. has led formation hotspots river waters sediments due reduced mobility. Notably, low-velocity regions non-dammed high hotspot for deposition, their inventories may even be 10.63–12.71 times higher than those other riverbeds. Additionally, results abundance differ from loads, which some cases showed contradictory results. Therefore, future studies must incorporate loads into assessment enhance our understanding fate systems.

Language: Английский

Citations

4

Convolutional Neural Networks Facilitate River Barrier Detection and Evidence Severe Habitat Fragmentation in the Mekong River Biodiversity Hotspot DOI Creative Commons
Jingrui Sun, Chengzhi Ding, Martyn C. Lucas

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(1)

Published: Jan. 1, 2024

Abstract Construction of river infrastructure, such as dams and weirs, is a global issue for ecosystem protection due to the fragmentation habitat hydrological alteration it causes. Accurate barrier databases, increasingly used determine ecologically sensitive management, are challenging generate. This especially so in large, poorly mapped basins where only large tend be recorded. The Mekong one world's most biodiverse but, like many rivers, impacts on from infrastructure documented. To demonstrate solution this, enable more basin we generated whole‐basin database Mekong, by training Convolutional Neural Network (CNN)–based object detection models, best which was identify 10,561 previously unrecorded barriers. Combining manual revision merged with existing database, our new Basin contains 13,054 Existing databases Lower documented under ∼3% barriers recorded CNN combined checking. Nam Chi/Nam Mun region, eastern Thailand, fragmented area within basin, median [95% CI] density 15.53 [0.00–49.30] per 100 km, Catchment Area‐based Fragmentation Index value, calculated an upstream direction, 1,178.67 [0.00–6,418.46], construction sluice gates. CNN‐based framework effective potentially can transform ability across facilitate ecologically‐sensitive management.

Language: Английский

Citations

14

Effects of cascade hydropower stations on hydrologic cycle in Xiying river basin, a runoff in Qilian mountain DOI
Rui Li, Guofeng Zhu,

Siyu Lu

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 646, P. 132342 - 132342

Published: Nov. 17, 2024

Language: Английский

Citations

14

Towards a comprehensive river barrier mapping solution to support environmental management DOI
Jingrui Sun, Martyn C. Lucas, Julian D. Olden

et al.

Nature Water, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Language: Английский

Citations

1

Three Gorges Dam enhanced organic carbon burial within the sediments of Poyang Lake, China DOI

Xuefei Mei,

Zhijun Dai, Jinzhou Du

et al.

CATENA, Journal Year: 2024, Volume and Issue: 238, P. 107859 - 107859

Published: Feb. 6, 2024

Language: Английский

Citations

4

Structural characteristics and spatiotemporal changes of a reticular river network based on complex network theory DOI

Shanheng Huang,

Peng Wang, Zulin Hua

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 638, P. 131577 - 131577

Published: June 24, 2024

Language: Английский

Citations

4

Shifted Flood and Ecology Regimes Due To Channel Bar Greening and Increased Flow Resistance in a Large Dammed River DOI Creative Commons
Yong Hu, Jinyun Deng, Dongfeng Li

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(20)

Published: Oct. 21, 2024

Abstract Damming profoundly affects downstream flow‐sediment regimes, altering channel bar dynamics and thereby affecting floods riverine biodiversity. Here, we investigate the response of bars to upstream damming by examining patterns, mechanisms, impacts in Middle Yangtze River (∼1,000 km). Over a decade post‐damming observational data reveal substantial increases revegetation Leaf Area Index. Shorter flood duration stable size collectively drive greening. Consequently, denser vegetation has slowed flow velocity 17% ± 2% increased resistance 21% 5%, offsetting water‐level decrease from expansion due scouring even causing slight rise floodwater levels. Furthermore, markedly altered river connectivity, thermal solute dynamics, detrimentally fish habitats aquatic life. These findings, along with refined stage simulation considering flow‐sediment‐vegetation interactions, facilitate sustainable reservoir operation management big systems.

Language: Английский

Citations

4

Enhanced River Connectivity Assessment Across Larger Areas Through Deep Learning With Dam Detection DOI
Xiao Zhang, Qi Liu, Dongwei GUI

et al.

Hydrological Processes, Journal Year: 2025, Volume and Issue: 39(1)

Published: Jan. 1, 2025

ABSTRACT Monitoring river connectivity across large regions is essential for understanding hydrological processes and environmental management. However, comprehensive assessments of are often hindered by inaccurate dam databases, which biased towards larger dams while overlooking smaller or low‐head dams. To enhance the accuracy assessments, we developed three advanced convolutional neural networks (CNNs; YOLOv5, Advance‐You Only Look Once [YOLO], Faster R‐CNN) to accurately classify evaluate using high‐resolution (1 m) remote sensing imagery. The evaluation results showed that Advance‐YOLO performs best with an average mean precision (mAP) 86.6%, R‐CNN mediocrely mAP 77.9%. Applying well‐trained model in Tarim River Basin (China), one largest inland basins around globe, found there currently 135 total on its sources. Conversely, existing public database underestimates 85.9% Notably, a 14.3% decline over past decade, current density four source rivers 1.12 per 10 000 km 2 . overestimated 83.9%. here enhances assessment areas long period, thereby fostering more research effective water resource

Language: Английский

Citations

0