Research on Multi-Factor Effects of Nitrogen Loss in Slope Runoff

Author:

Wang Lei12,Wang Na12,Zhang Qing13,Wu Jiajun2,Wang Shilei4,Pang Min12,Wang Jifeng5,Zhou Chao6,Han Yehui6,Yang Zhixin2,Jin Liang1ORCID

Affiliation:

1. Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China

2. Key Laboratory for Farmland Eco-Environment of Hebei Province, State Key Laboratory of North China Crop Improvement and Regulation, College of Resources and Environmental Sciences, Hebei Agricultural University, Baoding 071001, China

3. College of Environmental and Resource Sciences, Shanxi Agriculture University, Taiyuan 030000, China

4. Beijing Miyun District Soil and Water Conservation Workstation, Beijing 101500, China

5. Beijing Gaoling Water Station of Miyun District Water Bureau, Beijing 101500, China

6. Qiqihar Branch of Heilongjiang Academy of Agricultural Sciences, Qiqihar 161000, China

Abstract

To study the characteristics of nitrogen (N) loss on slopes, different vegetation (bare soil, alfalfa), slopes (5°, 10°, 15°), and rainfall intensities (40, 60, 80 mm/h) were set as variable factors in simulated rainfall experiments. Surface runoff accounts for 60.38–96.16% of total runoff and most N loss (57.69–88.67% of NO3−-N). Alfalfa can reduce average concentrations of N loss in runoff and reduce N loss in surface runoff by more than 48.29%, as well as subsurface runoff by 3.8%. Average N loss in subsurface runoff exceeds that of surface runoff. Rainfall intensity most affects N loss from surface runoff in bare soil conditions, and slope most affects N loss in subsurface runoff. Rainfall intensity in alfalfa treatments most influences runoff volume and N loss. The comprehensive effects of rainfall intensity, slope, and vegetation cover on the total loss of various forms of nitrogen in surface runoff can be described using a linear correlation equation, with a correlation coefficient between 0.84 and 0.91.

Funder

the innovation Capacity Building of Beijing Academy of Agricultural and Forestry Sciences

National Key R&D Program

Beijing Academy of Agricultural and Forestry Sciences

Beijing Academy of Agricultural and Forestry Sciences Youth Fund

Publisher

MDPI AG

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