Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of the Mahanadi river–estuarine system (India) – a case study
Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of the Mahanadi river–estuarine system (India) – a case study
复制标题
DOI：
10.1007/s10653-005-9001-5
复制
发表时间：
2006-05
影响因子：
4.2
通讯作者：
S. Sundaray;U. C. Panda;B. B. Nayak-B.;D. Bhatta
中科院分区：
文献类型：
--
作者：
S. Sundaray;U. C. Panda;B. B. Nayak-B.;D. Bhatta
利用多元统计技术对印度东部Mahanadi河-河口水系31个不同站点的水质养分（NO2-N、NO3-N、NH4-N、PO4-P、SiO4-Si、全N、全P）及其理化特征（DO、BOD、TSS、TDS、SO42−、Cl−）的时空分布进行了研究。除SiO4-Si外，未污染站的季节养分变化在季风季节表现出较高的值，而污染站则呈现相反的趋势，这分别与农业径流和区域人为活动有关。在季风期间，硅酸盐呈现出较好的分布模式，其浓度较高，在季风前季节，其从Mahanadi河口水中略微移出。r型因子分析结果表明，人为因素是造成水体养分增加、DO和pH值降低的主要原因。生物需氧量相对于总氮和总磷的大小反映了系统中有机污染的强度。通过因子分析可以清楚地看到盐体系中硅酸盐的去除，TSS的不同关联模式也反映了不同的季节。聚类分析强调了监测站之间的关系，用柱状图表示，以对不同程度的污染进行分类。
Spatial and temporal distributions of water quality using multivariate statistical techniques for the evaluation of nutrients (NO2-N, NO3-N, NH4-N, PO4-P, SiO4-Si, total N, total P) in relation to some physico-chemical features (DO, BOD, TSS, TDS, SO42−, Cl−) were studied for 31 different stations of the Mahanadi river–estuarine system in the eastern part of India. The seasonal nutrient variations (except SiO4-Si) exhibit higher values during monsoon season in unpolluted stations and the reverse trends for polluted stations, which are related to agricultural run-off and regional anthropogenic activities respectively. Silicate shows a well defined pattern of distribution with a higher concentration during the monsoon, which is slightly removed from the estuarine water of Mahanadi during the pre-monsoon season. The results ofR-mode factor analyses revealed that anthropogenic contributions are responsible for the increase in nutrients and the decrease in DO and pH levels of the water. The magnitude of BOD with respect to total N and P demonstrates the intensity of organic pollution in the system. The removal of silicate in the saline system is clearly visible through factor analysis and the different mode of association of TSS is reflected seasonally. The relationships among the stations are highlighted by cluster analysis, represented in dendograms to categorize different levels of contamination.