...
首页> 外文期刊>Journal of Ecosystems >Statistical Assessment of Water Quality Parameters for Pollution Source Identification in Sukhnag Stream: An Inflow Stream of Lake Wular (Ramsar Site), Kashmir Himalaya
【24h】

Statistical Assessment of Water Quality Parameters for Pollution Source Identification in Sukhnag Stream: An Inflow Stream of Lake Wular (Ramsar Site), Kashmir Himalaya

机译:Sukhnag河水的水质参数的统计评估,以识别污染源:克什米尔喜马拉雅山Wular湖(Ramsar厂址)的流入河

获取原文
   

获取外文期刊封面封底 >>

       

摘要

The precursors of deterioration of immaculate Kashmir Himalaya water bodies are apparent. This study statistically analyzes the deteriorating water quality of the Sukhnag stream, one of the major inflow stream of Lake Wular. Statistical techniques, such as principal component analysis (PCA), regression analysis, and cluster analysis, were applied to 26 water quality parameters. PCA identified a reduced number of mean 2 varifactors, indicating that 96% of temporal and spatial changes affect the water quality in this stream. First factor from factor analysis explained 66% of the total variance between velocity, total-P, NO3–N, Ca2+, Na+, TS, TSS, and TDS. Bray-Curtis cluster analysis showed a similarity of 96% between sites IV and V and 94% between sites II and III. The dendrogram of seasonal similarity showed a maximum similarity of 97% between spring and autumn and 82% between winter and summer clusters. For nitrate, nitrite, and chloride, the trend in accumulation factor (AF) showed that the downstream concentrations were about 2.0, 2.0, and 2.9, times respectively, greater than upstream concentrations.
机译:完好无损的克什米尔喜马拉雅水体恶化的前兆是显而易见的。这项研究从统计学上分析了乌克拉湖的主要流入河流之一苏克纳河的水质恶化。统计技术(例如主成分分析(PCA),回归分析和聚类分析)应用于26个水质参数。 PCA识别出均值2变异因子的数量减少,表明96%的时间和空间变化会影响该河流的水质。因子分析的第一个因子解释了速度,total-P,NO3-N,Ca2 +,Na +,TS,TSS和TDS之间的总方差的66%。 Bray-Curtis聚类分析显示,IV位和V位之间的相似度为96%,II位和III位之间的相似度为94%。季节性相似度的树状图显示,春季和秋季之间的最大相似度为97%,冬季和夏季之间的最大相似度为82%。对于硝酸盐,亚硝酸盐和氯化物,累积因子(AF)的趋势表明,下游浓度分别是上游浓度的2.0倍,2.0倍和2.9倍。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号