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Verktyg för effektiviserad provtagning på råvatten : Ett arbete utfört i samarbete med Laholmsbuktens VA & miljöförvaltningen i Halmstad

The task of providing clean drinking water is made more demanding since pollutants have the ability to percolate into the groundwater. Because of the limited budget for drinking water monitoring and the high cost of drinking water contaminant analysis, it is of the highest importance to only analyze relevant contaminants. The aim of this study is thus to develop a monitoring tool that is adapted according to the specific industrial activities and land uses in a water catchment area to simplify and target relevant pollutants in raw water. This will also minimize the costs and increase the effectiveness of the groundwater monitoring. First we conducted a scientific data literature search to empirically enquire the answers to the following questions: (1) Can a so called basic analytical parameter package be designed with appurtenant addition packages? (2) What environmentally hazardous industries are present in the water catchment area of the water source Harplinge-Dettan? (3) How can it be assured that a parameter package is complete, and that not new or forbidden substances are being used and which are not being identified? We further mapped out the surrounding industries in the area of Harplinge-Dettan as well as the agricultural purposes of the land. From here we designed a basic analytical parameter package, which essentially is a list of possible parameters that can be found in a water catchment area. These parameters are recurrent pollutants that can be found in any catchment area. Additionally, we designed several additional packages which are specific to the surrounding industries for that water catchment area. Subsequently, the parameters here are outliers found in the basic analytical parameter package. This means that these are non-recurring pollutants that can only be linked to a specific source (i.e. trikloretylen can be linked to dry cleaning facilities, but no other activity in the area).

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hh-37255
Date January 2018
CreatorsJohansson, Frida, Larsen-Spasojevic, Nina
PublisherHögskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap
Source SetsDiVA Archive at Upsalla University
LanguageSwedish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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