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Distribution pattern and multivariate analyses for anthropogenic apportionment of selected coastal water in Macajalar Bay, Philippines

机译:菲律宾Macajalar湾某些沿海水的人为分配的分布模式和多元分析

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Macajalar Bay in the southern Philippines has become an attractive thoroughfare with recent developments, rendering anthropogenic input to the coastal waters. Expediting coastal resource management strategies necessitates the present study on coastal water characteristics. This was aided with distribution pattern and multivariate analyses for apportioning possible anthropogenic inputs. A total of 15 biophysicochemical characteristics were studied covering two municipalities (Opol and Jasaan) with six subcoastal communities in 2017. Data were all processed for Q test to eliminate outliers before distribution analyses using univariate (descriptive), inferential (t test, one-way ANOVA, Pearson correlation), and multivariate statistics (hierarchal cluster analysis (HCA) and principal component analysis (PCA)). Overall, higher concentrations were determined in the ecotourism site (Opol) than in the industrial site (Jasaan) as sampling months progressed except for oil and grease. Results for total coliform, fecal coliform, heterotrophic plate count (HPC), total suspended solids (TSS), chemical oxygen demand (COD), and oil and grease regardless of spatial-temporal variations exceeded the standards. Distribution pattern revealed variations selectively for pH, temperature, dissolved oxygen (DO), and oil and grease, indicating site-specific distribution. HCA and PCA results corroborated correlation matrices showing elevated concentrations in an ecotourism site (Opol) apportioned anthropogenic input mainly due to rural development and ecotourism. Likewise, in the industrial site (Jasaan), HCA and PCA results reflected possible anthropogenic input from rural development and industries. Overall, anthropogenic apportionment in the bay was influenced by rural development, ecotourism, and industries.
机译:随着最近的事态发展,菲律宾南部的马卡哈拉尔湾已成为一个引人入胜的通道,为沿海水域提供了人为投入。加快沿海资源管理战略,需要对沿海水特征进行本研究。借助分布模式和多变量分析来辅助分配可能的人为输入。 2017年,共研究了15个生物物理化学特征,涵盖两个城市(Opol和Jasaan)以及六个近沿海社区。所有数据均经过Q检验处理,以消除异常值,然后使用单变量(描述性),推论(t检验,单向)进行分布分析。方差分析,皮尔逊相关性)和多元统计信息(层次聚类分析(HCA)和主成分分析(PCA))。总体而言,随着采样月的进行,在生态旅游区(Opol)确定的浓度高于工业区(Jasaan),但油脂除外。总大肠菌群,粪大肠菌群,异养菌板数(HPC),总悬浮固体(TSS),化学需氧量(COD)以及油脂的结果均超过标准。分布模式揭示了pH,温度,溶解氧(DO)以及油脂的选择性变化,表明了特定位置的分布。 HCA和PCA结果证实了相关矩阵,表明在生态旅游区(Opol)分配的人为投入中的浓度升高,这主要归因于农村发展和生态旅游。同样,在工业基地(Jasaan),HCA和PCA结果反映了农村发展和工业可能产生的人为投入。总体而言,海湾的人为分配受到乡村发展,生态旅游和工业的影响。

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