Suppr超能文献

对青藏高原东北部河流水质的时空变化、驱动因素及影响风险的综合评估。

A holistic assessment of spatiotemporal variation, driving factors, and risks influencing river water quality in the northeastern Qinghai-Tibet Plateau.

作者信息

Wang Xueping, Liu Xiaojie, Wang Lingqing, Yang Jun, Wan Xiaoming, Liang Tao

机构信息

Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China.

Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

出版信息

Sci Total Environ. 2022 Dec 10;851(Pt 1):157942. doi: 10.1016/j.scitotenv.2022.157942. Epub 2022 Aug 19.

Abstract

The Qinghai-Tibet Plateau (QTP) is the source for many of the most important rivers in Asia. It is also an essential ecological barrier in China and has the characteristic of regional water conservation. Given this importance, we analyzed the spatiotemporal distribution patterns and trends of 10 water quality parameters. These measurements were taken monthly from 67 monitoring stations in the northeastern QTP from 2015 to 2019. To evaluate water quality trends, major factors influencing water quality, and water quality risks, we used a series of analytical approaches including Mann-Kendall test, Boruta algorithm, and interval fuzzy number-based set-pair analysis (IFN-SPA). The results revealed that almost all water monitoring stations in the northeastern QTP were alkaline. From 2015 to 2019, the water temperature and dissolved oxygen of most monitoring stations were significantly reduced. Chemical oxygen demand, permanganate index, five-day biochemical oxygen demand, total phosphorus, and fluoride all showed a downward trend across this same time frame. The annual average total nitrogen (TN) concentration fluctuation did not significantly decrease across the measured time frame. Water quality index (WQI-DET) indicated bad or poor water quality in the study area; however, water quality index without TN (WQI-DET') reversed the water quality value. The difference between the two indexes suggested that TN was a significant parameter affecting river water quality in the northeastern QTP. Both Spearman correlation and Boruta algorithm show that elevation, urban land, cropland, temperature, and precipitation influence the overall water quality status in the northeastern QTP. The results showed that between 2015 and 2019, most rivers monitored had a relatively low risk of degradation in water quality. This study provides a new perspective on river water quality management, pollutant control, and risk assessment in an area like the QTP that has sensitive and fragile ecology.

摘要

青藏高原是亚洲许多最重要河流的源头。它也是中国重要的生态屏障,具有区域水源涵养的特性。鉴于其重要性,我们分析了10个水质参数的时空分布格局和变化趋势。这些测量数据于2015年至2019年期间每月从青藏高原东北部的67个监测站获取。为了评估水质变化趋势、影响水质的主要因素以及水质风险,我们采用了一系列分析方法,包括曼-肯德尔检验、博鲁塔算法和基于区间模糊数的集对分析(IFN-SPA)。结果显示,青藏高原东北部几乎所有的水质监测站水体呈碱性。2015年至2019年期间,大多数监测站的水温及溶解氧显著降低。化学需氧量、高锰酸盐指数、五日生化需氧量、总磷和氟化物在同一时间段内均呈下降趋势。在所测时间段内,年均总氮(TN)浓度波动未显著下降。水质指数(WQI-DET)表明研究区域水质为差或极差;然而,不包含总氮的水质指数(WQI-DET')则扭转了水质状况。这两个指数的差异表明,总氮是影响青藏高原东北部河流水质的一个重要参数。斯皮尔曼相关性分析和博鲁塔算法均表明,海拔、城市用地、耕地、温度和降水影响着青藏高原东北部的整体水质状况。结果表明,2015年至2019年期间,大多数被监测河流的水质退化风险相对较低。本研究为青藏高原这样生态敏感脆弱地区的河流水质管理、污染物控制和风险评估提供了新的视角。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验