Identifying factors influencing reservoir eutrophication using interpretable machine learning combined with shoreline morphology and landscape hydrological features: A case study of Danjiangkou Reservoir, China DOI

Chenyi Shi,

Nana Zhuang,

Yiheng Li

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175450 - 175450

Published: Aug. 10, 2024

Language: Английский

Identifying Critical Land Use Thresholds for Biodiversity Conservation in China’s Lake Ecosystems DOI

Huiyu Xie,

Xiaowei Jin,

Wenpan Li

et al.

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Aquatic biodiversity loss, particularly in rapidly developing nations, continues to raise concerns, prompting urgent debates on reconciling economic growth with environmental preservation through land use planning. While spatial variations aquatic communities along gradients are well-documented, precise ecological thresholds for impacts freshwater lakes remain elusive, hindering sustainable development efforts. This study investigated six representative China between 2019 and 2020, all significantly impacted by anthropogenic activities. We utilized macroinvertebrate as bioindicators employed four categories of metrics─taxonomic diversity, functional pollution tolerance, water quality─to assess their responses local patterns. Macroinvertebrate community composition varied among the studied lakes, pollution-tolerant taxa predominating highly urbanized eutrophic systems. Notably, benthic exhibited greater sensitivity urban (ecological thresholds: 2-10%) compared agricultural (thresholds: 15-40%). The most pronounced were observed within 1-5 km lakeshore, circular buffers yielding more significant effects than fan-shaped buffers, excluding areas. A novel intensity indicator─the ratio nonecological (NEL/EL = area land/area land)─proved effective predicting shifts. Smaller or heavily showed marked changes at NEL/EL ratios 0 0.6, while larger river-connected shifts exceeding 1.5. These findings underscore profound footprint human activities lake ecosystems cover emerging deleterious factor.

Language: Английский

Citations

1

The Application of Multifunctional Metal–Organic Frameworks for the Detection, Adsorption, and Degradation of Contaminants in an Aquatic Environment DOI Creative Commons

Yachen Liu,

Jinbin Yang,

Junlin Wu

et al.

Molecules, Journal Year: 2025, Volume and Issue: 30(6), P. 1336 - 1336

Published: March 17, 2025

Water pollution poses a severe threat to both aquatic ecosystems and human health, highlighting the crucial importance of monitoring regulating its levels in water bodies. In contrast traditional single-treatment approaches, multiple-treatment methods enable simultaneous detection removal pollutants using single material. This innovation not only offers convenience but also fosters more holistic effective approach remediation. Metal–organic frameworks (MOFs) are versatile porous materials that offer significant potential for use wastewater treatment. article examines latest developments application MOFs multifaceted used removal, or degradation contaminants. Some exhibited different functions contaminants, some showed one function (adsorption detection) than contaminant. All multifunctional facilitate multiple treatment real wastewater. Lastly, existing challenges future outlooks concerning MOF addressed this paper.

Language: Английский

Citations

1

Integrated Electrodialysis – Forward Osmosis Process for Sustainable Water Reuse: A Case Study in Southern Highbush Blueberry DOI
Quang Ngoc Tran,

Andrea Retano,

David R. Bryla

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Genetic potential of soil microbial nitrogen cycling affected by human activities and climate factors DOI Creative Commons
Tao Lu,

Chaotang Lei,

Nuohan Xu

et al.

Soil Ecology Letters, Journal Year: 2025, Volume and Issue: 7(2)

Published: March 12, 2025

Language: Английский

Citations

0

Performance and Mechanism of a Novel Composite Ecological Ditch System for Nitrogen and Phosphorus Interception in Agricultural Drainage DOI Open Access

Xin Wu,

Chaohui Chen, Zijiang Yang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 882 - 882

Published: March 19, 2025

The massive loss of nitrogen (N) and phosphorus (P) from farmland ditches contributes to non-point source pollution, posing a significant global environmental challenge. Effectively removing these nutrients remains difficult in intensive agricultural systems. To address this, novel composite ecological ditch system (CEDS) was developed by modifying traditional drainage integrate grit chamber, zeolite, floating beds. Dynamic monitoring N P levels water, plants, zeolite conducted evaluate the system’s nutrient interception performance mechanisms. results showed following: (1) Water quality improved markedly after passing through CEDS, with concentrations decreasing progressively along flow path. intercepted 41.0% 31.9% P, inorganic particulate as primary forms loss. (2) Zeolite removes primarily ion exchange, likely chemical reactions, maximum capacities 3.47 g/kg for 1.83 P. (3) Ecological beds hydroponic cultivation enhanced uptake roots Canna indica Iris pseudacorus, surpassing (4) Nutrient efficiency positively correlated temperature, inlet concentrations, rice runoff but negatively precipitation. This study demonstrates CEDS’s potential improving water suggests further enhancements design management increase its economic aesthetic value.

Language: Английский

Citations

0

Intensifying Methane Emissions in Chinese Ponds: The Interplay of Warming, Eutrophication, and Depth Changes DOI
Mingquan Lv,

Ping Huang,

Xin Gao

et al.

Water Research, Journal Year: 2025, Volume and Issue: 281, P. 123576 - 123576

Published: April 2, 2025

Language: Английский

Citations

0

A multi-objective optimization model integrating machine learning and time-frequency analysis for supporting nitrogen and phosphorus pollution reduction in Guangzhou city, China DOI
Yelin Wang, Yanpeng Cai,

Shunyu Zhao

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 385, P. 125612 - 125612

Published: May 5, 2025

Language: Английский

Citations

0

Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal DOI
Chiranjit Singha,

Ishita Bhattacharjee,

Satiprasad Sahoo

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122721 - 122721

Published: Oct. 13, 2024

Language: Английский

Citations

2

Optimization of an aerated fertilizer irrigation application scheme for tomato photosynthesis, yield and quality in Xi'an, China DOI
Yuan Li, Jingwei Wang,

Yadan Du

et al.

Scientia Horticulturae, Journal Year: 2024, Volume and Issue: 338, P. 113743 - 113743

Published: Oct. 18, 2024

Language: Английский

Citations

2

Shifts of the pond area ratio for lowland polders: Implication for nutrient control DOI
Jing Zhang, Jiacong Huang,

Pengna Pei

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 946, P. 174133 - 174133

Published: June 18, 2024

Language: Английский

Citations

1