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Water Quality Indicators
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Water Quality Indicators : Nutrient Impacts on Chlorophyll or Algae Species Composition

Book Details

Format Paperback / Softback
ISBN-10 1843397471
ISBN-13 9781843397472
Publisher IWA Publishing
Imprint IWA Publishing
Country of Manufacture GB
Country of Publication GB
Publication Date Feb 1st, 2007
Print length 84 Pages
Dimensions 23.40 x 15.60 x 1.80 cms
Product Classification: Water supply & treatment
Ksh 26,100.00
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The researchers have developed a methodological framework that aims to provide a predictive approach to water quality criteria selection. The basic constituents of the proposed methodology are expert elicitation and structural equation modeling. Expert elicitation was used to quantify the narrative designated use, identify the conditions for use attainment, and was further invigorated by engaging multiple experts and formalizing the elicitation protocol. Structural equation modeling provided a complementary tool that enabled the linkage of realistic ecological structures -founded on routinely monitored environmental variables- with the elicited probabilities of designated-use attainment. These efforts confirmed that the prediction-based procedure for nutrient criteria selection can be proposed as a robust methodological tool for addressing eutrophication management issues.
The researchers have developed a methodological framework that aims to provide a predictive approach to water quality criteria selection. The basic constituents of the proposed methodology are expert elicitation and structural equation modeling. Expert elicitation was used to quantify the narrative designated use, identify the conditions for use attainment, and was further invigorated by engaging multiple experts and formalizing the elicitation protocol. Structural equation modeling provided a complementary tool that enabled the linkage of realistic ecological structures -founded on routinely monitored environmental variables- with the elicited probabilities of designated-use attainment. These efforts confirmed that the prediction-based procedure for nutrient criteria selection can be proposed as a robust methodological tool for addressing eutrophication management issues.

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