Diurnal Variation of Carbon Dioxide Concentration and Flux in a River–Lake Continuum of a Mega City

Water, Journal Year: 2025, Volume and Issue: 17(3), P. 306 - 306

Published: Jan. 23, 2025

The carbon dioxide (CO2) emissions at the water–air interface in urban river–lake continuum remain unknown, posing challenges for assessing sinks aquatic ecosystems draining this unique characteristic. This study investigates driving factors of diurnal variations CO2 emission fluxes an river (Qingshangang, QSG) and a connected landscape lake (Lihu, LH). Continuous monitoring was conducted from 8:00 a.m. to 7:00 p.m. July 2024 both QSG LH sites. results reveal significant temporal spatial differences concentration flux. (120.91 ± 93.99 μmol L−1) clearly exceeds that (69.14 51.09 L−1), with overall mean 95.02 69.69 L−1 system as whole. flux (77.53 64.59 mmol m−2 d−1) is significantly higher than (53.50 37.32 m −2 d −1), total average 65.51 54.10 −1. concentrations were negatively correlated environmental such pH, dissolved oxygen (DO), percent (DO%), water temperature (Twater), chlorophyll (Chl-a), chemical demand manganese (CODMn), positively electrical conductivity (EC). DO%, EC, Chl-a are main affecting by stepwise regression analysis. considerably observed can be attributed nutrient inputs its surrounding environment. Conversely, lower due effective restoration plants. Our underscores importance recognizing rivers potential hotspots emissions, thereby emphasizing imperative high-time-resolution efforts on these future research endeavors.

Language: Английский

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Identifying critical riparian zones for eco-environmental management of the Yangtze River through pollution mapping

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124555 - 124555

Published: Feb. 17, 2025

Language: Английский

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Widespread phytoplankton monitoring in small lakes: a case study comparing satellite imagery from planet SuperDoves and ESA sentinel-2

Frontiers in Remote Sensing, Journal Year: 2025, Volume and Issue: 6

Published: March 27, 2025

Satellite imagery has enabled widespread monitoring of algae in larger water bodies, however until recently, the spatial resolution available sensors not been sufficient to apply this smaller lakes. Therefore, study investigated a new dataset high-resolution metre-scale for phytoplankton at and temporal scales previously impossible with satellite data. Specifically, Planet SuperDoves constellation was used monitor small (0.069 km 2 ), eutrophic lake from 2021 2024. Several chlorophyll-a (Chl-a) algorithms were tested on both Sentinel-2 data against situ measurements. Additionally, suitability citizen science as validation tool algal bloom by comparing reports blooms five bodies central Scotland corresponding Chl-a images. successfully retrieved using Ocean Colour 3 algorithm ( R = 0.64, root mean squared error (RMSE) 0.93 g L −1 which outperformed best performing 0.61, RMSE 1.01 ). Furthermore, equally effective detection, each having F1-scores 0.89 threshold 40 . This demonstrates that is possible even challenging optically complex environments such small, shallow bodies. leads towards potential step-change number remotely monitorable inland would be significant advancement global science, environmental management public health protection efforts.

Language: Английский

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Interpretable machine learning reveals the importance of geography and landscape arrangement for surface water quality across China

Water Research, Journal Year: 2025, Volume and Issue: unknown, P. 123578 - 123578

Published: March 1, 2025

Language: Английский

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