Spatiotemporal Dynamics of Nitrogen Transport in the Qiandao Lake Basin, a Large Hilly Monsoon Basin of Southeastern China
| Autor: | Wangshou Zhang, Jiaping Pang, Hengpeng Li, Dongqiang Chen, Yaqin Diao, Steven G. Pueppke |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Pollution
lcsh:Hydraulic engineering Soil and Water Assessment Tool media_common.quotation_subject Geography Planning and Development Climate change Sewage Aquatic Science Structural basin Monsoon Biochemistry lcsh:Water supply for domestic and industrial purposes N sources lcsh:TC1-978 Subsurface flow Water Science and Technology media_common Hydrology lcsh:TD201-500 business.industry N transport processes Vegetation fertilization Environmental science spatiotemporal patterns of pollution business Qiandao Lake Basin |
| Zdroj: | Water Volume 12 Issue 4 Water, Vol 12, Iss 1075, p 1075 (2020) |
| ISSN: | 2073-4441 |
| DOI: | 10.3390/w12041075 |
| Popis: | The Qiandao Lake Basin (QLB), which occupies low hilly terrain in the monsoon region of southeastern China, is facing serious environmental challenges due to human activities and climate change. Here, we investigated source attribution, transport processes, and the spatiotemporal dynamics of nitrogen (N) movement in the QLB using the Soil and Water Assessment Tool (SWAT), a physical-based model. The goal was to generate key localized vegetative parameters and agronomic variables to serve as credible information on N sources and as a reference for basin management. The simulation indicated that the basin&rsquo s annual average total nitrogen (TN) load between 2007 and 2016 was 11,474 tons. Steep slopes with low vegetation coverage significantly influenced the spatiotemporal distribution of N and its transport process. Monthly average TN loads peaked in June due to intensive fertilization of tea plantations and other agricultural areas and then dropped rapidly in July. Subsurface flow is the key transport pathway, with approximately 70% of N loads originating within Anhui Province, which occupies just 58% of the basin area. The TN yields of sub-basins vary considerably and have strong spatial effects on incremental loads entering the basin&rsquo major stream, the Xin&rsquo anjiang River. The largest contributor to N loads was domestic sewage (21.8%), followed by livestock production (20.8%), cropland (18.6%), tea land (15.5%), forest land (10.9%), atmospheric deposition (5.6%), orchards (4.6%), industry (1.4%), and other land (0.8%). Our simulation underscores the urgency of increasing the efficiency of the wastewater treatment, conserving slope land, and optimizing agricultural management as components of a comprehensive policy to control N pollution in the basin. |
| Databáze: | OpenAIRE |
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