Effects of Climate Change and Human Activities on Streamflow in Arid Alpine Water Source Regions: A Case Study of the Shiyang River, China DOI Creative Commons

Honghua Xia,

Yingqing Su, Linshan Yang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1961 - 1961

Published: Nov. 20, 2024

Climate change and human activities were identified as the primary drivers of streamflow in arid alpine regions. However, limitations observational data have resulted a limited understanding changes these water sources, which hinders efforts to adapt ongoing climate formulate effective management policies. Here, we use four main tributaries upper reach Shiyang River China case study investigate long-term trends within quantifying individual contributions changes. The findings revealed that temperatures precipitation regions risen over past 40 years. Although warming trend has been significant, it slowed recent Nevertheless, three-quarters rivers are experiencing decline streamflow. land types watershed remain relatively stable, with cover (LUCC) primarily occurring Gulang watershed. significantly affected high rugged terrains, an influence exceeding 70%. For example, Jingta showed impact 118.79%, Zamu 84.00%, Huangyang 71.43%. Human-driven LUCC, such expansion cultivated urban land, led increased consumption, resulting reduced This effect is particularly pronounced low-lying gently undulating areas River, where LUCC account for 78.68% As intensify continue rise, further declines projected, highlighting urgent need resource management. These insights highlight targeted mitigation adaptation strategies confront scarcity challenges faced by vulnerable

Language: Английский

Enhanced identification of hydrologically sensitive areas via digital soil mapping and hydrological modeling in semi-arid regions DOI
M. Khosravi, Ali Asghar Zolfaghari, S H Kaboli

et al.

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(3)

Published: Feb. 24, 2025

Language: Английский

Citations

0
Numerical modeling of the effects of soil moisture changes on ecosystems in the study of plant and vegetation ecology in arid zones DOI Open Access

Xueting Liu,

Tengfei Li,

Shengtianzi Dong

et al.

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract Vegetation is an important part of the ecosystem, so it necessary to study changes vegetation soil moisture in arid regions. In this study, Xinjiang, a typical region Northwest China, was selected as area. Based on total primary productivity (TPP) and land cover type data from MODIS remote sensing data, reanalysis ERA5, precipitation potential evapotranspiration CRU, Xinjiang calculated over 20-year period. Combined with collected simulation analysis ecological water demand period carried out based information, well model. The mean value limiting coefficient has small range variation, fluctuating around between 0.344 0.402. per unit area grasses, shrubs, trees at full fertility stage varied ranges 51-106 mm, 125-247 181-393 respectively, having larger demand. content different types zone ranked as: Mobile sandy > 2-year 5-year naturally restored artificial + artificially land, moisture-rich soils were able maintain high level species diversity. results paper provide very positive guidance for scientific management ecosystems Xinjiang.

Language: Английский

Citations

0
Web-Based Baseflow Estimation in SWAT Considering Spatiotemporal Recession Characteristics Using Machine Learning DOI Open Access
Jimin Lee, Jeongho Han, Bernard A. Engel

et al.

Environments, Journal Year: 2025, Volume and Issue: 12(3), P. 94 - 94

Published: March 17, 2025

The increasing frequency and severity of hydrological extremes due to climate change necessitate accurate baseflow estimation effective watershed management for sustainable water resource use. Soil Water Assessment Tool (SWAT) is widely utilized modeling but shows limitations in simulation its uniform application the alpha factor across Hydrologic Response Units (HRUs), neglecting spatial temporal variability. To address these challenges, this study integrated SWAT with Tree-Based Pipeline Optimization (TPOT), an automated machine learning (AutoML) framework, predict HRU-specific factors. Furthermore, a user-friendly web-based program was developed improve accessibility practical optimized factors, supporting more predictions, even ungauged watersheds. proposed approach area significantly enhanced recession predictions compared traditional method. This improvement supported by key performance metrics, including Nash–Sutcliffe Efficiency (NSE), coefficient determination (R2), percent bias (PBIAS), mean absolute percentage error (MAPE). framework effectively improves accuracy practicality modeling, offering scalable innovative solutions face stress.

Language: Английский

Citations

0
Semantic Uncertainty‐Awared for Semantic Segmentation of Remote Sensing Images DOI Creative Commons
Xiangfeng Qiu, Zhilin Zhang, Xin Luo

et al.

IET Image Processing, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

ABSTRACT Remote sensing image segmentation is crucial for applications ranging from urban planning to environmental monitoring. However, traditional approaches struggle with the unique challenges of aerial imagery, including complex boundary delineation and intricate spatial relationships. To address these limitations, we introduce semantic uncertainty‐aware (SUAS) method, an innovative plug‐and‐play solution designed specifically remote analysis. SUAS builds upon rotated multi‐scale interaction network (RMSIN) architecture introduces prompt refinement uncertainty adjustment module (PRUAM). This novel component transforms original textual prompts into descriptions, particularly focusing on ambiguous boundaries prevalent in imagery. By incorporating uncertainty, directly tackles inherent complexities delineation, enabling more refined segmentations. Experimental results demonstrate SUAS's effectiveness, showing improvements over existing methods across multiple metrics. achieves consistent enhancements mean intersection‐over‐union (mIoU) precision at various thresholds, notable performance handling objects irregular boundaries—a persistent challenge imagery The indicate that design, which leverages guide task, contributes improved accuracy

Language: Английский

Citations

0
Effects of Climate Change and Human Activities on Streamflow in Arid Alpine Water Source Regions: A Case Study of the Shiyang River, China DOI Creative Commons

Honghua Xia,

Yingqing Su, Linshan Yang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1961 - 1961

Published: Nov. 20, 2024

Climate change and human activities were identified as the primary drivers of streamflow in arid alpine regions. However, limitations observational data have resulted a limited understanding changes these water sources, which hinders efforts to adapt ongoing climate formulate effective management policies. Here, we use four main tributaries upper reach Shiyang River China case study investigate long-term trends within quantifying individual contributions changes. The findings revealed that temperatures precipitation regions risen over past 40 years. Although warming trend has been significant, it slowed recent Nevertheless, three-quarters rivers are experiencing decline streamflow. land types watershed remain relatively stable, with cover (LUCC) primarily occurring Gulang watershed. significantly affected high rugged terrains, an influence exceeding 70%. For example, Jingta showed impact 118.79%, Zamu 84.00%, Huangyang 71.43%. Human-driven LUCC, such expansion cultivated urban land, led increased consumption, resulting reduced This effect is particularly pronounced low-lying gently undulating areas River, where LUCC account for 78.68% As intensify continue rise, further declines projected, highlighting urgent need resource management. These insights highlight targeted mitigation adaptation strategies confront scarcity challenges faced by vulnerable

Language: Английский

Citations

1