Using a conductivity–alkalinity relationship as a tool to identify surface waters in reference condition across Canada

2018 ◽  
Vol 53 (4) ◽  
pp. 231-240
Author(s):  
C. L. Proulx ◽  
B. W. Kilgour ◽  
A. P. Francis ◽  
R. F. Bouwhuis ◽  
J. R. Hill

Abstract The underlying natural relationship between conductivity and alkalinity was used to identify surface water quality monitoring sites that are in a ‘reference’ or minimally disturbed condition. Data from over 40,500 freshwater samples from 1,230 sites were combined for the time period of 2005–2015 from various federal, provincial, and joint federal–provincial/territorial freshwater monitoring programs (e.g., Freshwater Quality Monitoring and Surveillance Program, Ontario's Provincial Water Quality Monitoring Network). Of the samples, 30,347 provided conductivity and alkalinity data. Surface water samples with a measured conductivity that deviated (by more than 41 μS/cm) from the predicted conductivity calculated from the sample's alkalinity were deemed to be non-representative of a reference condition, while samples within 41 μS/cm of the predicted value were deemed representative of a reference condition. The 41 μS/cm cutoff value was determined using signal detection theory. The conductivity–alkalinity model was validated through a comparison with land cover data by demonstrating that samples identified as ‘reference’ were typically from catchments that had minimal anthropogenic disturbances. The proposed approach provides a rapid means of evaluating the reference condition of a watercourse, and of identifying data that provide an estimate of reference condition.

Author(s):  
Erjola Keci ◽  

This paper first reviews the principal monitoring requirements of the WFD and discusses the monitoring network for diffuse pollution in Albania in the context of implementation of the EU Water Framework Directive (WFD). Considerations on water quality of surface waters from main Albanian rivers based on ecological and chemicals indicators are reported. Quality measurement are essential to demonstrate the comparability of obtained data and they form the basis for correct decisions related to management of water resources. The existing surface water quality monitoring network provides only restricted information to select between different management options when implementing river basin management plans (RBMP) under the WFD. We then clearly define and exemplify the roles, the functions and the need for a new set of monitoring tools support of implementing the WFD, using the case studies based on datasets that we obtained during recurrent monitoring campaigns in the Rivers Ishmi, Erzeni, Shkumbini and Mati.


2014 ◽  
Vol 10 ◽  
pp. 26-30 ◽  
Author(s):  
Damian Absalon ◽  
Marek Ruman ◽  
Magdalena Matysik ◽  
Krystyna Kozioł ◽  
Żaneta Polkowska

2017 ◽  
Vol 21 (2) ◽  
pp. 949-961 ◽  
Author(s):  
Hang Zheng ◽  
Yang Hong ◽  
Di Long ◽  
Hua Jing

Abstract. Surface water quality monitoring (SWQM) provides essential information for water environmental protection. However, SWQM is costly and limited in terms of equipment and sites. The global popularity of social media and intelligent mobile devices with GPS and photography functions allows citizens to monitor surface water quality. This study aims to propose a method for SWQM using social media platforms. Specifically, a WeChat-based application platform is built to collect water quality reports from volunteers, which have been proven valuable for water quality monitoring. The methods for data screening and volunteer recruitment are discussed based on the collected reports. The proposed methods provide a framework for collecting water quality data from citizens and offer a primary foundation for big data analysis in future research.


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