Characterizing the impacts of land use on nitrate load and water yield in an agricultural watershed in Atlantic Canada

Kang Liang; Yefang Jiang; Junyu Qi; Keith Fuller; Judith Nyiraneza; Fan-Rui Meng

doi:10.1016/j.scitotenv.2020.138793

Characterizing the impacts of land use on nitrate load and water yield in an agricultural watershed in Atlantic Canada

Sci Total Environ. 2020 Aug 10:729:138793. doi: 10.1016/j.scitotenv.2020.138793. Epub 2020 Apr 19.

Authors

Kang Liang¹, Yefang Jiang², Junyu Qi³, Keith Fuller⁴, Judith Nyiraneza⁵, Fan-Rui Meng⁶

Affiliations

¹ Faculty of Forestry and Environmental Management, University of New Brunswick, P.O. Box 4400, 28 Dineen Drive, Fredericton, NB, E3B 5A3, Canada; Charlottetown Research and Development Center, Agriculture and Agri-Food Canada, 440 University Avenue, Charlottetown, PE C1A 4N6, Canada.
² Charlottetown Research and Development Center, Agriculture and Agri-Food Canada, 440 University Avenue, Charlottetown, PE C1A 4N6, Canada. Electronic address: yefang.jiang@canada.ca.
³ Earth System Science Interdisciplinary Center, University of Maryland, College Park, 5825 University Research Ct, College Park, MD 20740, USA.
⁴ Kentville Research and Development Center, Agriculture and Agri-Food Canada, 32 Main Road, Kentville, NS B4N 1J5, Canada.
⁵ Charlottetown Research and Development Center, Agriculture and Agri-Food Canada, 440 University Avenue, Charlottetown, PE C1A 4N6, Canada.
⁶ Faculty of Forestry and Environmental Management, University of New Brunswick, P.O. Box 4400, 28 Dineen Drive, Fredericton, NB, E3B 5A3, Canada. Electronic address: fmeng@unb.ca.

PMID: 32371206
DOI: 10.1016/j.scitotenv.2020.138793

Abstract

Excessive nitrate loading from agricultural non-point source is threatening the health of receiving water bodies at the global scale. Quantifying the drivers/sources of water and nitrate flux in watersheds and relating them to spatial and temporal land uses is essential for developing effective mitigation strategies. This study investigated the impact of land use on water yield and nitrate loading to surface water in a typical agricultural watershed in Prince Edward Island (PEI), Canada. We used historical streamflow and water quality records to calibrate the comprehensive hydrological model Soil and Water Assessment Tool (SWAT), which was setup with detailed annual land use records. The SWAT model performed well in predicting both daily streamflow and nitrate load. Land use demonstrated little impact on water yield but affected nitrate load significantly. Annual nitrate load ranged from 5.6 to 44.4 kg N ha^-1 yr^-1 for forest and soybean, respectively. Potato rotated land contributed 84.5% of annual nitrate load to the watershed. Source of water yield demonstrated high variability between the growing season and non-growing season. About 90% of water yield was contributed by groundwater during growing season, while runoff contributed over 60% of water yield during the non-growing season. Groundwater was the dominant source of nitrate loading for both seasons. The watershed estuary faced the highest threats from subbasins in the south western area due to the high nitrate load and proximity to the watershed outlet. Results by the machine learning algorithm random Forest analysis indicated that the climatic variables of temperature and precipitation were the top two factors affecting water yield, with a combined relative importance of 61%. Land use was the dominant factor affecting nitrate load, the relative importance of land use alone was ~50%. The results of this study provided critical insights for watershed management in Atlantic Canada.

Keywords: Land use; Nitrate load; Random Forest; SWAT; Water yield.