Summer E. coli patterns and responses along 23 Chicago beaches.

Summer E. coli patterns and responses along 23 Chicago beaches.
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夏季 23 个芝加哥海滩的大肠杆菌模式和反应。

DOI:
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发表时间:
2008
影响因子:
11.4
通讯作者:
M. B. Nevers
M. B. Nevers
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
R. Whitman;M. B. Nevers

文献摘要

被引文献

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休闲海滩水中的大肠杆菌浓度在当地和时间上都有很大的变化,但对这些波动的更广泛的理解可以通过海岸观察来解释。目前,海滩污染研究方法往往是针对具体地点的,因为人们相信,政治划定的海滩是独一无二的,海滩的管理不能以区域为导向。从芝加哥23个海滩收集的五年来的大肠杆菌数据清楚地确定了区域规模的环境关联模式。时间波动是相似的,所有海滩的大肠杆菌浓度都有同时的峰值和低谷。在空间上,位置越近的海滩的大肠杆菌浓度越密切,表明空间自相关性。朱利安日、波高和大气压可以解释高达40%的变化,这一数值与个别的、不那么吝啬的特定地点模型相当。采样日期可以解释大部分大肠杆菌浓度的变化,而不是海滩、深度或一天中的时间。通过比较目标海岸线上的海滩,可以更好地了解固有的背景区域波动,并最终更好地预测沿海休闲水中的大肠杆菌浓度。
Concentrations of E. coli in recreational beach water are highly variable both locally and temporally, but a broader understanding of these fluctuations may be explained through coastal observations. Currently, beach contamination study approaches tend to be site-specific under the belief that politically delineated beaches are unique and management of beaches cannot be regionally oriented. E. coli data collected over five years from 23 Chicago beaches clearly identified ambient linked patterns at the regional scale. Temporal fluctuations were similar, with all beaches having simultaneous peaks and troughs of E. coli concentrations. Spatially, E. coli concentrations for beaches more closely situated were more closely correlated, indicating spatial autocorrelation. Julian day, wave height, and barometric pressure explained up to 40% of the variation, a value comparable to individual, less parsimonious site-specific models. Day of sampling could explain the majority of the variation in E. coli concentrations, more so than beach, depth, or time of day. Comparing beaches along a targeted coastline allows a better understanding of inherent background regional fluctuations and, ultimately, better predictions of E. coli concentrations in coastal recreational water.