Quantitative Assessment of the Water Stress in the Tigris-Euphrates River Basin Driven by Anthropogenic Impacts
文献类型：期刊论文
| 作者 | Luan, Wenfei4; Li, Xin3; Kuang, Wenhui2; Su, Jianbin1; Xue, Huazhu4; Zhang, Kaixiang4; Zhu, Jingyao4; Li, Ge4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025-02-01 |
| 卷号 | 17期号:4页码:662 |
| 关键词 | water stress Tigris-Euphrates river basin anthropogenic influence geographical detector model spatial data |
| DOI | 10.3390/rs17040662 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Water stress has induced many environmental and developmental conflicts in the arid basins in the Middle East region under the context of climate change and increasing anthropogenic influence. Quantifying the anthropogenic influence on water stress at the basin scale is very challenging because of insufficient anthropogenic-related spatial data. Given that climate change is a global impact that is hard to mitigate at the basin scale, quantifying anthropogenic influence is practical to inform strategies for alleviating regional water stress. Thus, this study attempts to quantify the contribution of potential anthropogenic factors driving the water stress in the Tigris-Euphrates river basin (TERB) using pure spatial data. The water stress level in the studied basin was evaluated via the water stress index (WSI), which can be obtained as the ratio of water demand to water availability, from the Aqueduct 4.0 dataset. The driving contributions of social development (population, POP; fine particulate matter, PM2.5), economic development (gross domestic product, GDP; electricity consumption, EC), and landscape modification (urban expansion index, UEI; cultivated land expansion index, CEI) factors were quantitatively evaluated based on a spatial statistical geographical detector model (GDM). Assessment showed that nearly 66.13% of the TERB area was under severe water stress, particularly in Syria, Iraq, Saudi Arabia, and Iran. The q statistic of the GDM, adopted to quantify the contribution of driving factors, revealed that CEI (0.174), EC (0.145), and GDP (0.123) were the dominant factors driving water stress. These individual influences were further enhanced particularly in the interaction between economic development and landscape modification factors such as UEI and CEI (0.566), PM2.5 and UEI (0.350), EC and CEI (0.346), GDP and CEI (0.323), and PM2.5 and GDP (0.312). The findings of this research can provide some beneficial references to alleviate the TERB's water stress for its future sustainable development. |
| URL标识 | 查看原文 |
| WOS关键词 | PM2.5 CONCENTRATIONS ; CLIMATE-CHANGE ; RESOURCES ; SCARCITY ; EFFICIENCY ; EXPANSION ; CITIES ; GROWTH ; NORTH |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001430879700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213337]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Li, Ge |
| 作者单位 | 1.Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, Key Lab Tibetan Environm Changes & Land Surface Pr, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing 100101, Peoples R China; 4.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Luan, Wenfei,Li, Xin,Kuang, Wenhui,et al. Quantitative Assessment of the Water Stress in the Tigris-Euphrates River Basin Driven by Anthropogenic Impacts[J]. REMOTE SENSING,2025,17(4):662. |
| APA | Luan, Wenfei.,Li, Xin.,Kuang, Wenhui.,Su, Jianbin.,Xue, Huazhu.,...&Li, Ge.(2025).Quantitative Assessment of the Water Stress in the Tigris-Euphrates River Basin Driven by Anthropogenic Impacts.REMOTE SENSING,17(4),662. |
| MLA | Luan, Wenfei,et al."Quantitative Assessment of the Water Stress in the Tigris-Euphrates River Basin Driven by Anthropogenic Impacts".REMOTE SENSING 17.4(2025):662. |
入库方式： OAI收割
来源：地理科学与资源研究所
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