Spatial–Temporal Variations and Driving Factors of the Albedo of the Qilian Mountains from 2001 to 2022 DOI Creative Commons
Huazhu Xue, Haojie Zhang,

Zhanliang Yuan

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(9), P. 1081 - 1081

Published: Sept. 6, 2024

Surface albedo plays a pivotal role in the Earth’s energy balance and climate. This study conducted an analysis of spatial distribution patterns temporal evolution albedo, normalized difference vegetation index (NDVI), snow cover (NSC), land surface temperature (LST) within Qilian Mountains (QLMs) from 2001 to 2022. evaluated spatiotemporal correlations with NSC, NDVI, LST at various scales. Additionally, quantified driving forces relative contributions topographic natural factors variation QLMs using geographic detectors. The findings revealed following insights: (1) Approximately 22.8% exhibited significant changes albedo. annual average NSC minor decline rates −0.00037 −0.05083 (Sen’s slope), respectively. Conversely, displayed marginal increase rate 0.00564, while NDVI experienced notable 0.00178. (2) seasonal fluctuations LST, collectively influenced overall Mountains. Notably, highly similar trends between whether intra-annual monthly variations, multi-year anomalies, or regional mean trends, indicate that reflected by played major role. area proportion corresponding elevation PSI (permanent ice regions) slightly increased, potentially suggesting slow upward shift high mountain snowline QLMs. (3) type (LCT), Digital Elevation Model (DEM, which means elevation) key roles shaping pattern was most significantly interaction slope NDVI.

Language: Английский

Spatiotemporal variations in land use impacts on river water quality in a mountain-to-plain transitional basin in arid region of northern China DOI
Chi Ma, Wenchao Sun, Zhongwen Yang

et al.

Journal of Contaminant Hydrology, Journal Year: 2025, Volume and Issue: 271, P. 104542 - 104542

Published: March 10, 2025

Language: Английский

Citations

3

Mechanisms and thresholds of land use affecting surface water quality in Hangzhou City’s residential areas DOI Creative Commons

Qianhu Chen,

Jing Huang

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113097 - 113097

Published: Jan. 1, 2025

Language: Английский

Citations

1

Historical and dispersal processes drive community assembly of multiple aquatic taxa in glacierized catchments in the Qinghai-Tibet plateau DOI
Zhengfei Li, Huan Zhu, Jorge García–Girón

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 251, P. 118746 - 118746

Published: March 19, 2024

Language: Английский

Citations

8

Spatial characteristics of hydrochemistry and stable isotopes in river and groundwater, and runoff components in the Shule River Basin, Northeastern of Tibet Plateau DOI
Cong Xie, Hang Liu, Xingru Li

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 349, P. 119512 - 119512

Published: Nov. 7, 2023

Language: Английский

Citations

14

Exploring the Impact of Land Use Scales on Water Quality Based on the Random Forest Model: A Case Study of the Shaying River Basin, China DOI Open Access

Maofeng Weng,

Xinyu Zhang,

Pujian Li

et al.

Water, Journal Year: 2024, Volume and Issue: 16(3), P. 420 - 420

Published: Jan. 27, 2024

Optimizing the land use structure is one of most effective means improving surface water aquatic environment. The relationship between patterns and quality complex due to influence dams sluices. To further investigate impact on in different basins, we Shaying River as an example, which a typical tributary Huai Basin. Utilizing 2020 data monitoring from two periods, this study employs GIS spatial analysis, Random Forest Model, redundancy Partial Least-Squares Regression quantitatively explore how different-scale buffer zone quality. key findings include: (1) notable seasonal differences indicators within basin. Water Quality Index (WQI) significantly better non-flood season compared flood season, with deteriorating towards lower reaches. Key affecting include dissolved oxygen (DO), ammonia nitrogen (NH3-N), total phosphorus (TP), turbidity (Tur) NH3-N, permanganate index (CODMn), electrical conductivity (EC) season. (2) Cultivated construction are main uses sub-basin was identified scale for River. (3) (PLSR) analysis revealed that cultivated land, grass primary types influencing changes, PLSR model during lands show positive correlation indicators, while forest bodies, grasslands correlate positively DO negatively other indicators. underscores rational planning crucial enhancing

Language: Английский

Citations

5

Research progress in water quality prediction based on deep learning technology: a review DOI
Wenhao Li,

Yin Zhao,

Yining Zhu

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(18), P. 26415 - 26431

Published: March 27, 2024

Language: Английский

Citations

5

Dams alter the control pattern of watershed land use to riverine nutrient distribution: Comparison of three major rivers under different hydropower development levels in Southwestern China DOI

Xiaolei Xing,

Peifang Wang, Xun Wang

et al.

Water Research, Journal Year: 2024, Volume and Issue: 260, P. 121951 - 121951

Published: June 16, 2024

Language: Английский

Citations

5

Hydro-morphology and water quality jointly shape the structure and network stability of the plankton community in multi-tributary river basins DOI
Chao Chang, En Hu,

Xudong Xue

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 643, P. 131945 - 131945

Published: Aug. 31, 2024

Language: Английский

Citations

4

Impact of landscape patterns on river water quality: Spatial-scale effects across an agricultural-urban interface DOI Creative Commons
Kun Mei,

Haonan Shi,

Yingying Wu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113019 - 113019

Published: Dec. 21, 2024

Language: Английский

Citations

4

Natural and Anthropogenic Factors Exacerbating Mercury Contamination in the Qilian Mountain Rivers: A Threat to Water Resources DOI

Xiwen Miao,

Shiwei Sun,

Zhengzheng Yang

et al.

Published: Jan. 1, 2025

The Qilian Mountains function as a vital ecological barrier in western China, and examining environmental contaminants within this region is pivotal for safeguarding its integrity. However, there notable lack of knowledge regarding mercury (Hg) concentrations river waters the associated risks region. To evaluate magnitude Hg pollution, we collected 84 water samples from six basins Mountain comprehensive analysis. average total (THg) methylmercury (TMeHg) were 25.74 ± 68.84 ng/L 0.25 0.43 ng/L, respectively. Our findings reveal that THg TMeHg primarily exist particulate form significantly influenced by suspended (TSP) matter, contributing 86% 47% variance. When considering interactions, explanatory power anthropogenic activities combination with TSP MeHg soars to 72%. Ecological risk assessments indicate Heihe River basin poses highest risk, nearly half sites exhibiting chronic medium risk. Given escalating urban exposure may further intensify future.

Language: Английский

Citations

0