Assessment of grey water footprint pressure in the Yangtze River basin and its relationship with water quality DOI
Yubo Zhou, Cong Wang,

Xiaoyu Guo

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Magnesium modified algae biochar for phosphorus adsorption: Synthesis, experimental analysis, DFT calculations and regeneration DOI
Zhiying Guo, Degang Zhang, Liping Ma

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 71, P. 107169 - 107169

Published: Feb. 6, 2025

Language: Английский

Citations

2

Influence of hydrological features on CO2 and CH4 concentrations in the surface water of lakes, Southwest China: A seasonal and mixing regime analysis DOI
Xiaoying Yang, Yongqiang Zhou,

Zhirong Yu

et al.

Water Research, Journal Year: 2024, Volume and Issue: 251, P. 121131 - 121131

Published: Jan. 11, 2024

Language: Английский

Citations

11

Unraveling the impacts of multiscale landscape patterns and socioeconomic development on water quality: A case study of the National Sustainable Development Agenda Innovation Demonstration Zone in Lincang City, Southwest China DOI Creative Commons

Xuefu Pu,

Qingping Cheng

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 51, P. 101660 - 101660

Published: Jan. 19, 2024

National Sustainable Development Agenda Innovation Demonstration Zone in Lincang City, Southwest China Revealing the current water quality status rivers and reservoirs its drivers is crucial to achieving United Nations Goal 6 (SDG 6). We assessed spatial-temporal dynamics influence of natural socioeconomic factors on index (WQI) parameters using redundancy analysis (RDA) partial least squares path model (PLSPM). The results indicate following. (1) annual average values WQI City from 2018 2020 were 92.26, 92.06, 92.45, respectively. spring, summer, autumn, winter 92.48, 90.38, 92.68, 93.49, seasonal levels good or higher. However, spatial heterogeneity exists for some City. (2) highly complex. landscape composition, configuration, pollutant discharges are key affecting annually seasonally, a scale dependence observed. (3) Chemical physical directly affect WQI, particularly at small scales (100 m 500 buffer zones). have strong inhibitory effect (−0.79, −0.78) (−0.56, −0.72), whereas weak promoting (0.05–0.13). Landscape composition configuration indirectly WQI. In contrast, pollution discharge impact through their chemical factors. These findings demonstrate that social interact multiple ways, impacting reservoirs. This interaction depends scale. Therefore, it consider appropriate distance future land use planning, design planning Moreover, controlling wastewater industrial agricultural activities domestic usage vital ensuring high quality.

Language: Английский

Citations

6

Evaluating impacts of climate and management on reservoir water quality using environmental fluid dynamics code DOI
Qingqing Sun,

Zhifeng Yan,

Jingfu Wang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 947, P. 174608 - 174608

Published: July 10, 2024

Language: Английский

Citations

6

Rainfall seasonality shapes microbial assembly and niche characteristics in Yunnan Plateau lakes, China DOI
Qi Liu,

Xinlu Duan,

Yang Zhang

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 257, P. 119410 - 119410

Published: June 12, 2024

Language: Английский

Citations

5

Review of environmental monitoring in freshwater lakes using geospatial techniques (remote sensing and GIS) DOI Creative Commons

Kamilia Kamaruzzaman,

Siti Aekbal Salleh,

Faezah Pardi

et al.

Geocarto International, Journal Year: 2025, Volume and Issue: 40(1)

Published: Jan. 15, 2025

Human activities such as land-use change, and pollution pose a significant threat to the biodiversity ecological services of freshwater lakes. This complex issue includes water quality degradation, natural habitat loss, introduction unknown species. However, interactions between debris, climate lake environment remain poorly understood. Thus, this systematic review provides an academically comprehensive analysis geospatial technologies for monitoring The covers time from 2018 2023. reviews follow established methods procedures systematically identifying, evaluating, testing study literature. It seeks address specific concerns in area. survey 318 papers, showing increase scholarly output throughout defined period. Key findings reveal trends, including 65% publications 2020 2021, driven by advancements remote sensing GIS applications. highlights value tools identifying spatiotemporal variations quality, health, emphasizing their role guiding sustainable management. research typically focuses on books published English open source ensure accessibility transparency selection materials. results not only highlight works but also growing interest dedication understand environmental lakes using technologies. significance technology exploring degradation. emphasizes benefits utilizing procedures, which supports enhance knowledge field study.

Language: Английский

Citations

0

Influences of dissolved organic matter on phytoplankton functional diversity and resource use efficiency differ in three lakes with contrasting trophic state and depth DOI

Zhirong Yu,

Di Song, Jingyi Li

et al.

Aquatic Sciences, Journal Year: 2025, Volume and Issue: 87(2)

Published: Feb. 3, 2025

Language: Английский

Citations

0

Unraveling the pivotal role of microbial specialists in adapting to divergent nutrient stresses in lakes DOI
Jiawen Wang, Yucheng Tian, Yinghao Li

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: 500, P. 145245 - 145245

Published: March 14, 2025

Language: Английский

Citations

0

Estimating the water quality index based on interpretable machine learning models DOI Creative Commons
Shiwei Yang, Ruifeng Liang,

Junguang Chen

et al.

Water Science & Technology, Journal Year: 2024, Volume and Issue: 89(5), P. 1340 - 1356

Published: March 1, 2024

Abstract The water quality index (WQI) is an important tool for evaluating the status of lakes. In this study, we used WQI to evaluate spatial characteristics Dianchi Lake. However, calculation time-consuming, and machine learning models exhibit significant advantages in terms timeliness nonlinear data fitting. We a model with optimized parameters predict WQI, light gradient boosting achieved good predictive performance. trained based on entire Lake coefficient determination (R2), mean square error, absolute error values 0.989, 0.228, 0.298, respectively. addition, Shapley additive explanations (SHAP) method interpret analyse identified main parameter that affects as NH4+-N. Within range Lake, SHAP NH4+-N varied from −9 3. Thus, future environmental governance, it necessary focus changes. These results can provide reference treatment lake environments.

Language: Английский

Citations

3

Driving Factors and Variability of Cyanobacterial Blooms in Qionghai Lake, Yunnan–Guizhou Plateau, China DOI Open Access

Yanzhen Dong,

Zebin Tian,

Xiaoyan Li

et al.

Water, Journal Year: 2025, Volume and Issue: 17(2), P. 169 - 169

Published: Jan. 10, 2025

Qionghai Lake is an important freshwater source in the Yunnan–Guizhou Plateau. However, cyanobacterial blooms have been observed recently Lake, but their formation mechanism and control management are not well understood. Herein, phytoplankton, zooplankton, eutrophication, nutrients, biochemical indices were measured from May 2022 to April 2023. The results showed that predominated Anabaena sp. with a density of 1.11 × 107–18.87 107 cells/L. started northwestern area November then expanded entire lake until it peaked subsided February Protozoa dominated zooplankton while having no significant relationship Lake. trophic level index chlorophyll similar spatiotemporal trends density, water quality northwest was worse than other parts. Total nitrogen (TN) total phosphorus (TP) 0.41–0.54 0.021–0.045 mg/L TN TP positively correlated most environmental factor affecting bloom These findings might provide essential information for improving remediation

Language: Английский

Citations

0