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A screening model for assessing water quality in small, dynamic estuaries

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dc.contributor.author Taljaard, Susan
dc.contributor.author Slinger, JH
dc.contributor.author Van Niekerk, Lara
dc.date.accessioned 2017-09-04T12:35:36Z
dc.date.available 2017-09-04T12:35:36Z
dc.date.issued 2017-09
dc.identifier.citation Taljaard, S., Slinger, J.H. and Van Niekerk, L. 2017. A screening model for assessing water quality in small, dynamic estuaries. Ocean & Coastal Management, vol. 146: 1-14. doi.org/10.1016/j.ocecoaman.2017.05.011 en_US
dc.identifier.issn 0964-5691
dc.identifier.uri doi.org/10.1016/j.ocecoaman.2017.05.011
dc.identifier.uri http://www.sciencedirect.com/science/article/pii/S0964569116303386
dc.identifier.uri http://hdl.handle.net/10204/9532
dc.description Copyright: 2017 Elsevier. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. en_US
dc.description.abstract Despite mounting evidence of the harm associated with excessive nutrient loading to estuaries, tools to translate this body of knowledge into sound environmental management and planning practices in datapoor environments are lacking. In this paper, a design science approach is adopted to develop a screening (box) model for the water quality assessment of South African estuaries. The key design principles are first distilled from literature on the nutrient dynamics and hydro-morphological functioning of small, dynamic, bar-blocked estuaries. The proportional volume contribution of land-based flows (river inflows, diffuse inflows from the peri-catchment, point source discharges) is determined, a water quality class is allocated to each of the inflows, and the overall water quality class for the land-based inflows to an estuary is determined. Taking the percentage mouth closure and the perched nature of the estuaries into account, a WQ Similarity rating is allocated. This similarity rating reflects the degree of similarity of the water quality in the estuary to the reference (natural) water quality. The entire water quality assessment uses readily available information such as land-cover data, legal limits for disposal and water quality monitoring data where they exist, making it suitable for a data-poor environment. The screening model is calibrated and validated on a selection of South African estuaries for which official health condition assessments exist. Results are promising, and the screening model is deemed appropriate for assessing the water quality of individual estuaries and for comparing the sensitivity of multiple estuaries to changes in the volume and nutrient loading of land-based inflows. As such, the screening model can be employed at a regional or national scale for strategic assessments of water quality in small, dynamic estuaries. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Worklist;19110
dc.subject Ocean management en_US
dc.subject Coastal management en_US
dc.subject South African water quality en_US
dc.subject Estuary management en_US
dc.subject Box models en_US
dc.subject Data-poor environments en_US
dc.subject Hydro-morphology en_US
dc.subject Nutrient dynamics en_US
dc.title A screening model for assessing water quality in small, dynamic estuaries en_US
dc.type Article en_US
dc.identifier.apacitation Taljaard, S., Slinger, J., & Van Niekerk, L. (2017). A screening model for assessing water quality in small, dynamic estuaries. http://hdl.handle.net/10204/9532 en_ZA
dc.identifier.chicagocitation Taljaard, Susan, JH Slinger, and Lara Van Niekerk "A screening model for assessing water quality in small, dynamic estuaries." (2017) http://hdl.handle.net/10204/9532 en_ZA
dc.identifier.vancouvercitation Taljaard S, Slinger J, Van Niekerk L. A screening model for assessing water quality in small, dynamic estuaries. 2017; http://hdl.handle.net/10204/9532. en_ZA
dc.identifier.ris TY - Article AU - Taljaard, Susan AU - Slinger, JH AU - Van Niekerk, Lara AB - Despite mounting evidence of the harm associated with excessive nutrient loading to estuaries, tools to translate this body of knowledge into sound environmental management and planning practices in datapoor environments are lacking. In this paper, a design science approach is adopted to develop a screening (box) model for the water quality assessment of South African estuaries. The key design principles are first distilled from literature on the nutrient dynamics and hydro-morphological functioning of small, dynamic, bar-blocked estuaries. The proportional volume contribution of land-based flows (river inflows, diffuse inflows from the peri-catchment, point source discharges) is determined, a water quality class is allocated to each of the inflows, and the overall water quality class for the land-based inflows to an estuary is determined. Taking the percentage mouth closure and the perched nature of the estuaries into account, a WQ Similarity rating is allocated. This similarity rating reflects the degree of similarity of the water quality in the estuary to the reference (natural) water quality. The entire water quality assessment uses readily available information such as land-cover data, legal limits for disposal and water quality monitoring data where they exist, making it suitable for a data-poor environment. The screening model is calibrated and validated on a selection of South African estuaries for which official health condition assessments exist. Results are promising, and the screening model is deemed appropriate for assessing the water quality of individual estuaries and for comparing the sensitivity of multiple estuaries to changes in the volume and nutrient loading of land-based inflows. As such, the screening model can be employed at a regional or national scale for strategic assessments of water quality in small, dynamic estuaries. DA - 2017-09 DB - ResearchSpace DP - CSIR KW - Ocean management KW - Coastal management KW - South African water quality KW - Estuary management KW - Box models KW - Data-poor environments KW - Hydro-morphology KW - Nutrient dynamics LK - https://researchspace.csir.co.za PY - 2017 SM - 0964-5691 T1 - A screening model for assessing water quality in small, dynamic estuaries TI - A screening model for assessing water quality in small, dynamic estuaries UR - http://hdl.handle.net/10204/9532 ER - en_ZA


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