Impact of extreme rainfall on non-point source nitrogen loss in coastal basins of Laizhou Bay, China.

Extreme rainfall LULC Nitrogen Non-point source Slope

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Jul 2023
Historique:
received: 26 08 2022
revised: 28 03 2023
accepted: 06 04 2023
medline: 15 4 2023
pubmed: 15 4 2023
entrez: 14 4 2023
Statut: ppublish

Résumé

Extreme rainfalls often lead to large amounts of nitrogen (N) loss from river basins. However, the composition and spatial variation of N loss caused by extreme events and the effects of control measures are not well understood. To shed light into this question, the Soil and Water Assessment Tool (SWAT) was used to evaluate the spatiotemporal characteristics of organic and inorganic nitrogen (ON and IN) losses in the coastal basins of Laizhou Bay during typhoons Rumbia and Lekima. The effects of best management practices on controlling N loss were also explored during such extreme rainfall events. Results showed that extreme rainfall promoted transport of ON more than IN. The mass of ON and IN transported by the two typhoons exceeded 57 % and 39 % of the average annual N flux, respectively, and the loads were positively correlated with streamflow. During the two typhoons, the loss of ON was mainly concentrated in areas with steep slopes (θ > 15°) and natural vegetation (forests, grasslands, and shrublands). The IN loss was higher in areas with a 5-10° slope. Furthermore, subsurface flow was the main IN transport mechanism in areas with steep slope (θ > 5°). Simulations showed that implementation of filter strips in areas with slopes exceeding 10° can reduce N loss, with much greater reductions in ON (>36 %) than IN (>0.3 %). This study provides important insights into N loss during extreme events and the key role filter strips can play in trapping them before they reach downstream waterbodies.

Identifiants

pubmed: 37059154
pii: S0048-9697(23)02046-6
doi: 10.1016/j.scitotenv.2023.163427
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

163427

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Meng Jiang (M)

Key Laboratory of Marine Environment Science and Ecology, Ministry of Education and College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China.

Hui Peng (H)

Key Laboratory of Marine Environment Science and Ecology, Ministry of Education and College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China; Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, Qingdao 266100, China. Electronic address: pengh@ouc.edu.cn.

Shengkang Liang (S)

Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean of China, Qingdao 266100, China. Electronic address: liangsk@ouc.edu.cn.

Shuo Wang (S)

Key Laboratory of Marine Environment Science and Ecology, Ministry of Education and College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China.

Latif Kalin (L)

College of Forestry, Wildlife and Environment, Auburn University, 36849 Auburn, AL, USA. Electronic address: kalinla@auburn.edu.

Enis Baltaci (E)

Parsons Corporation, Atlanta, GA, USA.

Yang Liu (Y)

Laboratory of Fisheries Oceanography, Fishery College, Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao 266100, China. Electronic address: yangliu315@ouc.edu.cn.

Classifications MeSH