Time series analysis of historical surface water quality data of the River Glen catchment, UK

被引:13
作者
Mattikalli, NM
机构
[1] NASA/Goddard Space Flight Center, Lab. for Hydrospheric Processes, Hydrological Sci. Branch, Code 974, Greenbelt
关键词
surface water quality; total oxidized nitrogen; time series analysis; regression analysis;
D O I
10.1006/jema.1996.0013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Solute concentrations in surface waters have increased in the recent past in many developed countries, and are close to or above WHO and EC drinking water limits in many British rivers. A time series analysis of surface water quality as indexed by total oxidized nitrogen (TON) is carried out for the River Glen catchment, U.K. for the period 1976-1990. Significant seasonal trends are observed in water quality, with solute concentrations increasing during winter and decreasing in summer. In addition, a strong increasing trend is observed in the nitrogen records using both graphical outputs and statistical analysis. Standard time series analyses (auto-correlation and partial auto-correlation functions) are not applicable to irregularly sampled water quality data sets provided by river monitoring public/statutory bodies, and there is a need for an established method capable of handling such data sets that would be available for most rivers. An approach based on multiple regression analysis has therefore been developed to quantify both seasonal and annual trends in the TON water quality data. It has been demonstrated that this approach is useful for the analysis of historical water quality data sets. (C) 1996 Academic Press Limited
引用
收藏
页码:149 / 172
页数:24
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