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Landscape patterns in a watershed potentially have significant influence on the occurrence, migration, and transformation of pollutants, such as nitrogen (N) and phosphorus (P) in rivers. Human activities can accelerate the pollution and complicate the problem especially in a peri-urban watershed with different types of land use. To characterize the heterogeneous correlations between landscape patterns and seasonal variations of N and P in a peri-urban watershed located upstream of Tianjin metropolis, China, observations of total nitrogen (TN) and total phosphorus (TP) at 33 locations were performed in the wet and dry seasons from 2013 to 2016. The data from individual locations were averaged for the wet and dry seasons and analyzed with geographical detector to identify influential landscape indices on seasonal water quality variations. The geographically weighted regression method, capable of analyzing heterogeneous correlations, was used to evaluate the integrated effects from different landscape indices. The results demonstrated that the location-weighted landscape contrast index (LWLI), the ratio of urban areas, and the ratio of forest areas were major influential indicators that affected TN and TP in river water. These indices also had integrated effects on variations of TN and TP together with other indices such as Shannon diversity index, landscape shape index, largest patch index, and contagion index. The integrated effects were different in the wet and dry seasons because of different effects of flushing and dilution by rainwater and the heterogeneity in landscape patterns. The LWLI had a positive relationship to water quality in the areas with high ratio of urban areas, indicating that domestic wastewater can be a major source of N and P pollution. The approaches and findings of this study may provide a reference for characterizing the major factors and integrated effects that control nonpoint source pollution in a watershed.

Titel:	Characterizing the heterogeneous correlations between the landscape patterns and seasonal variations of total nitrogen and total phosphorus in a peri-urban watershed.
Autor/in / Beteiligte Person:	Li, C ; Zhang, H ; Hao, Y ; Zhang, M
Link:	Full Text Finder (Volltext)
Zeitschrift:	Environmental science and pollution research international, Jg. 27 (2020-09-01), Heft 27, S. 34067-34077
Veröffentlichung:	<2013->: Berlin : Springer ; <i>Original Publication</i>: Landsberg, Germany : Ecomed, 2020
Medientyp:	academicJournal
ISSN:	1614-7499 (electronic)
DOI:	10.1007/s11356-020-09441-5
Schlagwort:	China Environmental Monitoring Nitrogen analysis Rivers Seasons Phosphorus analysis Water Pollutants, Chemical analysis
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [Environ Sci Pollut Res Int] 2020 Sep; Vol. 27 (27), pp. 34067-34077. <i>Date of Electronic Publication: </i>2020 Jun 15. MeSH Terms: Phosphorus / analysis ; Water Pollutants, Chemical / analysis ; China ; Environmental Monitoring ; Nitrogen / analysis ; Rivers ; Seasons References: Bu H, Meng W, Zhang Y, Wan J (2014) Relationships between land use patterns and water quality in the Taizi River basin. China Ecol Indic 41:187–197. (PMID: 10.1016/j.ecolind.2014.02.003) ; Chen LD, Tian HY, Fu BJ, Zhao XF (2009) Development of a new index for integrating landscape patterns with ecological processes at watershed scale. Chin Geogr Sci 19(1):37–45. (PMID: 10.1007/s11769-009-0037-9) ; Chen Q, Mei K, Dahlgren RA, Wang T, Gong J, Zhang M (2016) Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression. 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(PMID: 10.3390/ijerph15102175) Grant Information: 18JCZDJC39500 National Natural Science Foundation of China Contributed Indexing: Keywords: Geographical detector; Geographically weighted regression; Integrated effects; Landscape patterns; Nitrogen and phosphorus pollution Substance Nomenclature: 0 (Water Pollutants, Chemical) ; 27YLU75U4W (Phosphorus) ; N762921K75 (Nitrogen) Entry Date(s): Date Created: 20200620 Date Completed: 20200819 Latest Revision: 20230928 Update Code: 20231215 PubMed Central ID: PMC7423808

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Characterizing the heterogeneous correlations between the landscape patterns and seasonal variations of total nitrogen and total phosphorus in a peri-urban watershed.