Assessment of trace elements contamination and human health risk based on Monte Carlo simulation in a karst groundwater system affected by industrial activities DOI Creative Commons

Liyun Yang,

Qixin Wu, Shilin Gao

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 290, P. 117550 - 117550

Published: Dec. 18, 2024

Language: Английский

Rapid urbanization affects microplastic communities in lake sediments: A case study of Lake Aha in southwest China DOI
Shilin Gao, Qixin Wu,

Meixue Peng

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 338, P. 117824 - 117824

Published: March 31, 2023

Language: Английский

Citations

33

Natural background levels, source apportionment and health risks of potentially toxic elements in groundwater of highly urbanized area DOI
Yunhui Zhang, Yuting Yan, Rongwen Yao

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 935, P. 173276 - 173276

Published: May 23, 2024

Language: Английский

Citations

12

Application of HP-LSTM Models for Groundwater Level Prediction in Karst Regions: A Case Study in Qingzhen City DOI Open Access
Yan Bo, Chunlei Zhang, Xiaoyu Fang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(3), P. 362 - 362

Published: Jan. 27, 2025

Groundwater serves as an indispensable global resource, essential for agriculture, industry, and the urban water supply. Predicting groundwater level in karst regions presents notable challenges due to intricate geological structures fluctuating climatic conditions. This study examines Qingzhen City, China, introducing innovative hybrid model, Hodrick–Prescott (HP) filter–Long Short-Term Memory (LSTM) network (HP-LSTM), which integrates HP filter with LSTM enhance precision of forecasting. By attenuating short-term noise, HP-LSTM model improves long-term trend prediction accuracy. Findings reveal that significantly outperformed conventional LSTM, attaining R2 values 0.99, 0.96, 0.98 on training, validation, test datasets, respectively, contrast 0.92, 0.76, 0.95. The achieved RMSE 0.0276 a MAPE 2.92% set, outperforming (RMSE: 0.1149; MAPE: 9.14%) capturing patterns reducing fluctuations. While is effective at modeling dynamics, it more prone resulting greater errors. Overall, demonstrates superior robustness prediction, whereas may be better suited scenarios requiring rapid adaptation variations. Selecting appropriate tailored specific predictive needs can thus optimize management strategies.

Language: Английский

Citations

1

Potentially toxic elements in rainwater during extreme rainfall period in the megacity Beijing: Variations, sources, and reuse potential DOI
Jie Zeng, Guilin Han, Shitong Zhang

et al.

Atmospheric Environment, Journal Year: 2023, Volume and Issue: 318, P. 120242 - 120242

Published: Nov. 26, 2023

Language: Английский

Citations

23

Driving mechanism of groundwater quality and probabilistic health risk quantification in the central Yinchuan Plain DOI
H Wang, Qingchun Yang, Hao Wang

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 261, P. 119728 - 119728

Published: Aug. 2, 2024

Language: Английский

Citations

7

Nitrogen and phosphorus non-point source pollution in the upper Wujiang River Karst Basin: Critical source areas identification and influencing factors DOI Creative Commons
Chengcheng Hu, Qixin Wu, Guodong Liu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 112989 - 112989

Published: Dec. 28, 2024

Language: Английский

Citations

4

Landscape Patterns and Topographic Features Affect Seasonal River Water Quality at Catchment and Buffer Scales DOI Creative Commons
Li Deng,

Wanshu Li,

Xiaojie Liu

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(5), P. 1438 - 1438

Published: March 3, 2023

Effects of landscape patterns or topographic features on the river water environment have been broadly studied to control non-point source (NPS) pollution and cut off potential pathways for pollutants affect human health. However, spatio-temporal dynamics scale effects with respect impact aquatic over successive years not elucidated. In this study, quality parameters land cover data three consecutive mainly in Tangshan City, located northeast Haihe River Basin, China, were obtained determine associations between environment. Results indicated that seasonal differences dissolved oxygen (DO) total nitrogen (TN) significant (p < 0.001), spatial variation was generally observed each parameter. Redundancy analysis revealed different impacts as spans scales change. Overall, best explanatory variables explained an average 58.6% at various two seasons. Topographic made a greater contribution changes buffer scale; conversely, catchment scale, stemmed primarily from composition configuration. The shape index cropland (LSIcrop) important factor influencing scales. These results suggest considering connectivity distinct could enhance understanding alteration hydrological processes across multiple features, which turn has water.

Language: Английский

Citations

10

Karst water quality, source of pollution, and health risk assessment in China DOI
Guang-Xiong Peng, Xubo Gao, Asma Naseem

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 973, P. 179120 - 179120

Published: March 19, 2025

Language: Английский

Citations

0

Spatial and seasonal variation of groundwater geochemistry in high-grade metamorphic aquifers- implications for CKDu in Sri Lanka DOI
W. A. C. Udeshani, Fu‐Jun Yue, Rohana Chandrajith

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133154 - 133154

Published: March 1, 2025

Language: Английский

Citations

0

Differential response of microbial community structure in small watersheds of mining areas to various anthropogenic disturbances: A case study in southwest China DOI Creative Commons

Zhijun Fei,

Qixin Wu, Yongqiang Yuan

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 165, P. 112187 - 112187

Published: May 30, 2024

Microorganisms in sediment can timely reflect the impact of anthropogenic disturbance. So far, microorganism studies have primarily focused on assessing a specific type disturbance, such as mining, domestic sewage and damming. However, there has been limited attention given to systematically investigating responses microbial communities various typical disturbances within singular watershed. In light this, this study involved collection 33 superficial samples from Xinzhai River. Physicochemical properties sediments were analyzed, studied by using Illumina high-throughput sequencing technology. The results informed that moderate level disturbance contributing enhanced community diversity. Under different types disturbances, significant differences existed genera, which significantly affected pH, total nitrogen (TN) heavy metals (HMs). addition, pronounced low-abundance biomarkers occured at genus level, indicating key same watershed could serve indicators disturbances. Functional microorganisms River mainly associated with iron, sulfur cycling. Furthermore, functional taxa sulfate-reducing bacteria (SRB) more constrained nutrients displayed positive response sewage. While related nitrification methane oxidation dominant areas disturbed acid mine drainage (AMD). Damming exerted most influence composition versatile taxa. This provides precious comprehensive insights into how differential respond intensities Simultaneously, substantive evidence is furnished corroborate hypothesis activities might alter structure influencing small portion

Language: Английский

Citations

3