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A watershed perspective of water quality in Lake Marion, SC.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A watershed perspective of water quality in Lake Marion, SC./
作者:
Tufford, Daniel Lee.
面頁冊數:
1 online resource (189 pages)
附註:
Source: Dissertations Abstracts International, Volume: 58-10, Section: B.
Contained By:
Dissertations Abstracts International58-10B.
標題:
Environmental science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9711726click for full text (PQDT)
ISBN:
9780591192483
A watershed perspective of water quality in Lake Marion, SC.
Tufford, Daniel Lee.
A watershed perspective of water quality in Lake Marion, SC.
- 1 online resource (189 pages)
Source: Dissertations Abstracts International, Volume: 58-10, Section: B.
Thesis (Ph.D.)--University of South Carolina, 1996.
Includes bibliographical references
A two-dimensional 31-segment hydrodynamic and water quality model of Lake Marion (surface area 330.7 km²; volume 1,678 x 10⁶m³) was developed using the WASP5 modeling system. Kinetic rates and constants were taken from the literature and by calibration except for phytoplankton. Those were taken from a related in situ study. The model suggests a high degree of ecological spatial variability in the lake resulting from the combined effect of gradients in chemical and physical parameters including water velocity and depth, light availability, particle settling, and nutrient status. Phytoplankton growth is phosphorus limited and strongly light limited, especially in the lower lake. Sediment sources (especially during high temperatures and low dissolved oxygen) of ammonia (10-60 mg mˉ²dˉ¹ and phosphate (1-6 mg mˉ²dˉ¹) were important to achieve model calibration. Multiple regression models were developed which predict in-stream nutrient concentrations from land use proportions in the study area (4,860 km²). Land use types are agriculture, forest, urban, and wetland. The models considered proximity to the stream and seasonality. Most of the models are statistically significant but their predictive strength (r²) ranges from weak (0.18) to intermediate (0.63). The models with highest predictive strength were those which used land closest to the stream channel. Models of total nitrogen are generally stronger than those for total phosphorus, reflecting their differing pathways of transport and transformation in the landscape. Scenario analysis involved coupling the land use and water quality models. New nonpoint (NPS) and point sources of nutrient loads were predicted based on expected additional urbanization in the study area. The largest predicted nutrient change was a 1.9% increase for total phosphorus and a 1% increase for total nitrogen. The NPS contribution to the increase was as much as 78%. The water quality model predicted a CHLa increase of as much as 3.6% in the upper-lake. The impact was statistically significant but it is likely not detectable in the field. These results demonstrate model sensitivity to watershed land management practices and their potential importance in the study of cumulative impacts to Lake Marion water quality.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9780591192483Subjects--Topical Terms:
677245
Environmental science.
Subjects--Index Terms:
South CarolinaIndex Terms--Genre/Form:
542853
Electronic books.
A watershed perspective of water quality in Lake Marion, SC.
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Includes bibliographical references
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A two-dimensional 31-segment hydrodynamic and water quality model of Lake Marion (surface area 330.7 km²; volume 1,678 x 10⁶m³) was developed using the WASP5 modeling system. Kinetic rates and constants were taken from the literature and by calibration except for phytoplankton. Those were taken from a related in situ study. The model suggests a high degree of ecological spatial variability in the lake resulting from the combined effect of gradients in chemical and physical parameters including water velocity and depth, light availability, particle settling, and nutrient status. Phytoplankton growth is phosphorus limited and strongly light limited, especially in the lower lake. Sediment sources (especially during high temperatures and low dissolved oxygen) of ammonia (10-60 mg mˉ²dˉ¹ and phosphate (1-6 mg mˉ²dˉ¹) were important to achieve model calibration. Multiple regression models were developed which predict in-stream nutrient concentrations from land use proportions in the study area (4,860 km²). Land use types are agriculture, forest, urban, and wetland. The models considered proximity to the stream and seasonality. Most of the models are statistically significant but their predictive strength (r²) ranges from weak (0.18) to intermediate (0.63). The models with highest predictive strength were those which used land closest to the stream channel. Models of total nitrogen are generally stronger than those for total phosphorus, reflecting their differing pathways of transport and transformation in the landscape. Scenario analysis involved coupling the land use and water quality models. New nonpoint (NPS) and point sources of nutrient loads were predicted based on expected additional urbanization in the study area. The largest predicted nutrient change was a 1.9% increase for total phosphorus and a 1% increase for total nitrogen. The NPS contribution to the increase was as much as 78%. The water quality model predicted a CHLa increase of as much as 3.6% in the upper-lake. The impact was statistically significant but it is likely not detectable in the field. These results demonstrate model sensitivity to watershed land management practices and their potential importance in the study of cumulative impacts to Lake Marion water quality.
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Ann Arbor, Mich. :
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