Add to ORKGABSTRACT The estimation of temporal averages and trends are significant elements of elaborating water quality-management strategies. This paper reviews some relatively-simple statistical techniques in the context of shallow lake eutrophication control. The techniques are illustrated by analyzing measurement data from the Lake Balaton region of Hungary
To correctly assess trends in water quality data, influencing variables such as discharge or tempera...
Abstract: This paper describes the Time series analysis of river water quality with emphasis on vari...
PubMed ID: 18484227This study comprises application of non-parametric trend analysis (Mann-Kendall t...
Three approaches to trend analysis of water quality time series are discussed: (1) seasonal model, w...
An important consideration for long term monitoring programs is determining the required sampling ef...
Abstract: The current interest in water quality improvement plans across the country and the wide ra...
A statistical analysis of water quality data collected on paired agricultural watersheds was underta...
Kentucky Lake, a large man-made reservoir on the Tennessee River system, has been part of the long-t...
Natural fluctuations in the state of the environment can long conceal or distort important trends in...
The time-series ofδ18O values measured weekly in Lake Balaton gave a chance to estimate the period t...
ABSTRACT The water resources quality continuous monitoring is a complex activity. It generates exten...
Statistical surveillance are methods for repeated analysis of stochastic processes, aiming to detect...
International audienceIn order to assess the efficiency of eutrophication control programs, predicti...
Introduction This chapter describes methods for estimating long-term trends in ecological parameters...
In this study, trends in selected water quality parameters in Eymir Lake over a period of 10 years a...
To correctly assess trends in water quality data, influencing variables such as discharge or tempera...
Abstract: This paper describes the Time series analysis of river water quality with emphasis on vari...
PubMed ID: 18484227This study comprises application of non-parametric trend analysis (Mann-Kendall t...
Three approaches to trend analysis of water quality time series are discussed: (1) seasonal model, w...
An important consideration for long term monitoring programs is determining the required sampling ef...
Abstract: The current interest in water quality improvement plans across the country and the wide ra...
A statistical analysis of water quality data collected on paired agricultural watersheds was underta...
Kentucky Lake, a large man-made reservoir on the Tennessee River system, has been part of the long-t...
Natural fluctuations in the state of the environment can long conceal or distort important trends in...
The time-series ofδ18O values measured weekly in Lake Balaton gave a chance to estimate the period t...
ABSTRACT The water resources quality continuous monitoring is a complex activity. It generates exten...
Statistical surveillance are methods for repeated analysis of stochastic processes, aiming to detect...
International audienceIn order to assess the efficiency of eutrophication control programs, predicti...
Introduction This chapter describes methods for estimating long-term trends in ecological parameters...
In this study, trends in selected water quality parameters in Eymir Lake over a period of 10 years a...
To correctly assess trends in water quality data, influencing variables such as discharge or tempera...
Abstract: This paper describes the Time series analysis of river water quality with emphasis on vari...
PubMed ID: 18484227This study comprises application of non-parametric trend analysis (Mann-Kendall t...