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Environmental Management

Erschienen in:

09.03.2018

Impact of Climate Variability and Landscape Patterns on Water Budget and Nutrient Loads in a Peri-urban Watershed: A Coupled Analysis Using Process-based Hydrological Model and Landscape Indices

verfasst von: Chongwei Li, Yajuan Zhang, Gehendra Kharel, Chris B. Zou

Erschienen in: Environmental Management | Ausgabe 6/2018

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Abstract

Nutrient discharge into peri-urban streams and reservoirs constitutes a significant pressure on environmental management, but quantitative assessment of non-point source pollution under climate variability in fast changing peri-urban watersheds is challenging. Soil and Water Assessment Tool (SWAT) was used to simulate water budget and nutrient loads for landscape patterns representing a 30-year progression of urbanization in a peri-urban watershed near Tianjin metropolis, China. A suite of landscape pattern indices was related to nitrogen (N) and phosphorous (P) loads under dry and wet climate using CANOCO redundancy analysis. The calibrated SWAT model was adequate to simulate runoff and nutrient loads for this peri-urban watershed, with Nash-Sutcliffe coefficient (NSE) and coefficient of determination (R²) > 0.70 and percentage bias (PBIAS) between −7 and +18 for calibration and validation periods. With the progression of urbanization, forest remained the main “sink” landscape while cultivated and urban lands remained the main “source” landscapes with the role of orchard and grassland being uncertain and changing with time. Compared to 1984, the landscape use pattern in 2013 increased nutrient discharge by 10%. Nutrient loads modelled under wet climate were 3–4 times higher than that under dry climate for the same landscape pattern. Results indicate that climate change could impose a far greater impact on runoff and nutrient discharge in a peri-urban watershed than landscape pattern change.

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Titel: Impact of Climate Variability and Landscape Patterns on Water Budget and Nutrient Loads in a Peri-urban Watershed: A Coupled Analysis Using Process-based Hydrological Model and Landscape Indices
verfasst von: Chongwei Li
Yajuan Zhang
Gehendra Kharel
Chris B. Zou
Publikationsdatum: 09.03.2018
Verlag: Springer US
Erschienen in: Environmental Management / Ausgabe 6/2018
Print ISSN: 0364-152X
Elektronische ISSN: 1432-1009
DOI: https://doi.org/10.1007/s00267-018-1019-4

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