
Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 290, P. 117550 - 117550
Published: Dec. 18, 2024
Language: Английский
Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 290, P. 117550 - 117550
Published: Dec. 18, 2024
Language: Английский
Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 338, P. 117824 - 117824
Published: March 31, 2023
Language: Английский
Citations
33The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 935, P. 173276 - 173276
Published: May 23, 2024
Language: Английский
Citations
12Water, 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
1Atmospheric Environment, Journal Year: 2023, Volume and Issue: 318, P. 120242 - 120242
Published: Nov. 26, 2023
Language: Английский
Citations
23Environmental Research, Journal Year: 2024, Volume and Issue: 261, P. 119728 - 119728
Published: Aug. 2, 2024
Language: Английский
Citations
7Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 112989 - 112989
Published: Dec. 28, 2024
Language: Английский
Citations
4Remote 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
10The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 973, P. 179120 - 179120
Published: March 19, 2025
Language: Английский
Citations
0Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133154 - 133154
Published: March 1, 2025
Language: Английский
Citations
0Ecological 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