草原湖泊河口水质和污染源对降雨的响应:中国北方呼伦湖案例研究

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Bingtao Hu , Yuhong Liu , Yixue Chen , Yipeng Yao , Haiying Liu , Zhongsheng Wang
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引用次数: 0

摘要

呼伦湖是中国最大的内陆草原湖泊,水质正在严重退化。河口在河流与湖泊之间的物质和能量交换中发挥着重要作用。呼伦湖河口的水质直接反映了人类活动和自然因素对湖泊整体水质的影响,尤其是在降雨过程中。2021 年 7 月 28 日至 2021 年 8 月 4 日,在中雨前后,我们在呼伦湖三个河口的 62 个地点采集了水样。测量了溶解氧(DO)、浊度(Tur)、总氮(TN)、总磷(TP)、总有机氮(TON)和总有机磷(TOP)等 13 个水体参数。根据水质指数(WQI)评估了河口水质的时空分布。此外,利用逐步线性回归(SLR)和主成分分析(PCA)相结合的改进方法构建了 WQImin 模型,以有效评估这些河口的水质。此外,还采用了绝对主成分分数-多元线性回归(APCS-MLR)模型来识别和量化河口水质的环境驱动因素。水质指数结果表明,降雨前后呼伦湖河口各点的水质均为 "中 "或 "差",水质普遍随降雨而恶化。简化的 WQImin 模型由 5 个关键参数(即 TN、TP、氨氮(NH4+-N)、Tur 和高锰酸盐指数(CODMn))组成,在没有参数权重的情况下表现良好。发现各河口的部分水质参数存在空间差异,这与上游的自然因素和人类活动有关。影响河口水质的主要环境因素包括水动力过程、内磷释放、外磷输入、外氮输入、河口硝化、外有机物输入和内有机物释放。因此,我们提出了限制放牧压力、采用封闭式牧场、湿地恢复、优化呼伦湖水循环更新、跨界水质管理等流域管理策略,以解决呼伦湖水污染问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water quality and pollution source apportionment responses to rainfall in steppe lake estuaries: A case study of Hulun Lake in northern China
Hulun Lake, the largest inland steppe lake in China, is encountering severe water quality degradation. Estuaries play important roles in material and energetic exchange between rivers and lakes. The water quality at the estuaries of Hulun Lake directly reflects the impact of both human activities and natural factors on the lake’s overall water quality, especially during rainfall events. From July 28, 2021, to August 4, 2021, water samples from 62 sites were collected in the three estuaries of Hulun Lake before and after a moderate rainfall event. 13 water parameters, including dissolved oxygen (DO), Turbidity (Tur), Total Nitrogen (TN), Total Phosphorus (TP), Total Organic Nitrogen (TON), and Total Organic Phosphorus (TOP) were measured. The spatio-temporal distribution of water quality in the estuaries was assessed based on water quality index (WQI). Besides, an improved approach integrating stepwise linear regression (SLR) and principal component analysis (PCA) was utilized to construct a WQImin model for an effective assessment of water quality in these estuaries. Furthermore, the absolute principal component scores-multiple linear regression (APCS-MLR) model was employed to identify and quantify the environmental drivers underlying the water quality in the estuaries. The results of WQI indicated that the water quality of the sites in the estuaries of Hulun Lake was “medium” or “poor”, both before and after the rainfall, with a general deterioration in water quality in response to the rainfall. The simplified WQImin model consisted of 5 crucial parameters (i.e., TN, TP, ammonium (NH4+-N), Tur, and permanganate index (CODMn)), and it performed well without parameter weights. Spatial differences in some water parameters among the estuaries were detected, which were attributed to the natural factors and human activities upstream. The principal environmental factors affecting the water quality in the estuaries consisted of hydrodynamic processes, internal phosphorus release, external phosphorus input, external nitrogen input, nitrification in the estuaries, and external organic input and internal organic release. Therefore, we propose basin management strategies such as limiting grazing pressure, adopting enclosed pasture, wetland restoration, optimizing water renewal cycle in Hulun Lake, and transboundary water quality management to tackle water contamination in Hulun Lake.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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