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评估加利福尼亚州优胜美地国家公园游客使用对水质的潜在影响。

Assessing possible visitor-use impacts on water quality in Yosemite National Park, California.

机构信息

US Geological Survey, Colorado Water Science Center, Denver, CO, USA.

出版信息

Environ Monit Assess. 2011 Dec;183(1-4):197-215. doi: 10.1007/s10661-011-1915-z. Epub 2011 Feb 19.

Abstract

There is concern that visitor-use associated activities, such as bathing, dish washing, wastewater production, and stock animal use near lakes and streams, could cause degradation of water quality in Yosemite National Park. A study was conducted during 2004-2007 to assess patterns in nutrient and Escherichia coli (E. coli) concentrations in the Merced and Tuolumne Rivers and characterize natural background concentrations of nutrients in the park. Results indicated that nutrient and E. coli concentrations were low, even compared to other undeveloped sites in the United States. A multiple linear regression approach was used to model natural background concentrations of nutrients, with basin characteristics as explanatory variables. Modeled nitrogen concentrations increased with elevation, and modeled phosphorus concentrations increased with basin size. Observed concentrations (±uncertainty) were compared to modeled concentrations (±uncertainty) to identify sites that might be impacted by point sources of nutrients, as indicated by large model residuals. Statistically significant differences in observed and modeled concentrations were observed at only a few locations, indicating that most sites were representative of natural background conditions. The empirical modeling approach used in this study can be used to estimate natural background conditions at any point along a study reach in areas minimally impacted by development, and may be useful for setting water-quality standards in many national parks.

摘要

人们担心游客使用相关活动,如在湖泊和溪流附近洗澡、洗碗、产生废水和饲养牲畜,可能会导致约塞米蒂国家公园水质恶化。2004-2007 年期间进行了一项研究,以评估默塞德河和图奥勒米河的养分和大肠杆菌 (E. coli) 浓度模式,并描述公园内养分的自然背景浓度。结果表明,即使与美国其他未开发地区相比,养分和大肠杆菌浓度也很低。采用多元线性回归方法对养分的自然背景浓度进行建模,以流域特征为解释变量。模型化的氮浓度随海拔升高而增加,模型化的磷浓度随流域面积增大而增加。将观测到的浓度(±不确定性)与模型化的浓度(±不确定性)进行比较,以确定可能受到养分点源影响的地点,因为模型残差较大。仅在少数几个地点观察到观测值和模型值之间存在统计学上的显著差异,这表明大多数地点都代表了自然背景条件。本研究中使用的经验模型方法可用于估计受开发影响最小的研究区域内任何地点的自然背景条件,并且可能对许多国家公园制定水质标准有用。

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