In‐Stream Nonpoint Source Nutrient Prediction with Land‐Use Proximity and Seasonality
In‐Stream Nonpoint Source Nutrient Prediction with Land‐Use Proximity and Seasonality
复制标题
具有土地利用邻近性和季节性的流内非点源养分预测
DOI:
10.2134/jeq1998.00472425002700010015x
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发表时间:
1998
期刊:
影响因子:
--
通讯作者:
J. Hussey
中科院分区:
文献类型:
--
作者:
D. Tufford;H. McKellar;J. Hussey
This research developed multiple regression models relating land use to in-stream concentrations of total nitrogen (TOTN) and total phosphorus (TOTP) in eight, low-order watersheds on the coastal plain of South Carolina. The study area (4860 km 2 ) included dominant land-use categories of agriculture, forest, urban, and wetland comprising the lower portion of the Lake Marion drainage. Land-use data were obtained from a pre-existing GIS database derived by classification of satellite images. The models partitioned land-use categories according to distance from stream channels using a series of buffer zones around each stream. Effects of point source contributions were removed from observed in-stream concentrations so that nonpoint source effects could be more clearly delineated. All models except two were significant at P 150 m). Land-use change scenarios (converting forest and wetland to agriculture) support the conclusion that management of stream water quality will be most effective with emphasis on riparian and adjacent lands. Seasonal models were generally significant (P < 0.05) and demonstrate that the seasonal profile of stream nutrient concentrations is dependent on the mosaic of land uses in a specific subhasin.