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Effect of Beach Management Policies on Recreational Water Quality

机译:海滩管理政策对休闲水质的影响

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摘要

When beach water monitoring programs identify poor water quality, the causes are frequently unknown. We hypothesize that management policies play an important role in the frequency of fecal indicator bacteria (FIB) spikes (enterococci and fecal coliform) at recreational beach sites. To test this hypothesis we implemented an innovative approach utilizing large amounts of data (n > 150,000 per FIB) to determine associations between the frequency of contaminant spikes and beach management. The large FIB database was augmented with results from a survey designed to document management policies for 316 beaches throughout the state of Florida. The association between FIB and survey data was analyzed using t-tests, ANOVA, factor analysis, and linear regression. Results show that beach geomorphology (beach type) was highly associated with exceedance of regulatory standards. Low enterococci exceedances were associated with open coast beaches (n=211) that have sparse human densities, no homeless populations, low densities of dogs and birds, bird management policies, low densities of seaweed, beach renourishment, charge access fees, employ lifeguards, without nearby marinas, and those that manage storm water. Factor analysis and a linear regression confirmed beach type as the predominant factor with secondary influences from grooming activities (including seaweed densities and beach renourishment) and beach access (including charging fees, employing lifeguards, and without nearby marinas). Our results were observable primarily because of the very large FIB databases available for analyses. Given the availability of these databases, a similar approach can be used to assess the associations between beach management policies and FIB levels within other parts of the U.S. and abroad.
机译:当海滩水监控程序发现水质较差时,其原因通常是未知的。我们假设管理政策在休闲海滩场所的粪便指示菌(FIB)峰值(肠球菌和粪便大肠菌群)的发生频率中起重要作用。为了验证这一假设,我们采用了一种创新的方法,利用大量数据(每个FIB n> 150,000)确定污染物峰值的频率与海滩管理之间的关联。大型FIB数据库增加了一项调查结果,该调查旨在记录整个佛罗里达州316个海滩的管理政策。使用t检验,ANOVA,因子分析和线性回归分析了FIB和调查数据之间的关联。结果表明,海滩地貌(海滩类型)与超出监管标准高度相关。肠球菌超标率低与人类人口稀少,无家可归的人口,狗和鸟的密度低,鸟类管理政策,海藻的密度低,海滩养育,收费使用费,雇用救生员,没有附近的码头以及那些管理雨水的码头。因子分析和线性回归证实,海滩类型是主要的因素,其次要原因是修饰活动(包括海藻密度和海滩养育)和海滩准入(包括收费,聘用救生员,并且没有附近的码头)受到次级影响。我们的结果是可观察的,主要是因为有非常大的FIB数据库可用于分析。鉴于这些数据库的可用性,可以使用类似的方法来评估美国和其他地区内海滩管理政策与FIB级别之间的关联。

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