Application of multivariate analysis to determine spatial and temporal changes in water quality after new channel construction in the Chilika Lagoon
Application of multivariate analysis to determine spatial and temporal changes in water quality after new channel construction in the Chilika Lagoon
复制标题
应用多变量分析确定奇利卡泻湖新航道建设后水质的时空变化
DOI：
10.1016/j.ecoleng.2016.01.053
复制
发表时间：
2016
影响因子：
3.8
通讯作者：
G. Joo
中科院分区：
文献类型：
--
作者：
Ji Yoon Kim;K. Bhatta;Gurdeep Rastogi;P. Muduli;Yuno Do;Dong‐Kyun Kim;A. Pattnaik;G. Joo
泻湖生态系统已严重退化的人类活动，导致生态和水文系统的变化。详细了解恢复泻湖系统的恢复过程受到阻碍的基本复杂性的整体环境组成部分。本研究的目的是了解恢复泻湖水质变量之间的关系，并在泻湖恢复后的每个恢复阶段的时间和空间变化。从1999年到2009年，在Chilika泻湖的30个采样点每月监测10个水质参数。自组织映射和主成分分析表明，盐度是奇利卡泻湖的主导因素，并在主成分分析中具有最大的分量。平均盐度水平增加后，打开一个新的口在研究地点，然而，一个下降的趋势，观察后4年恢复。pH和pCO2在恢复事件后表现出脉冲型恢复。在监测期间，平均硝酸盐：磷酸盐比率稳步上升。通过对恢复地监测数据的多元分析，深入了解了恢复地的时空变化。将多变量分析扩展到不同的生态系统是值得的，同时建议考虑生物成分，以评估恢复系统的综合响应。
Lagoon ecosystems have been severely degraded by anthropogenic activities, which result in ecological and hydrological changes in the system. Detailed understanding of the recovery processes of restored lagoon systems has been impeded by the underlying complexity of integral environmental components. The aim of this study was to understand relationships between water quality variables in a restored lagoon, and temporal and spatial changes at each recovery stage after lagoon restoration. Ten water quality parameters were monitored on a monthly basis at 30 sampling sites in the Chilika Lagoon from 1999 to 2009. Self-Organizing Map and principal component analyses showed that salinity was the dominant factor for the Chilika Lagoon and had maximal component loading in the principal component analysis. Mean salinity level increased after opening of a new mouth in the study site, however, a decreasing trend was observed 4 years after the restoration. The pH and pCO2exhibited pulse-type resilience after the restoration event. The average nitrate:phosphate ratio increased steadily during the monitoring period. Multivariate analysis of monitoring data of the restoration site provided a deep understanding of its temporal and spatial change. It would be worthwhile to extend multivariate analysis to diverse ecosystems, while considering biological components is recommended in order to evaluate the comprehensive response of the restored system.