Impact of Land Cover Change on Surface Runoff

Ghosh, S. K.; Upadhyay, Priyadarshi

doi:10.1002/9781119616016.ch10

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…N and P pollution is prone to occurring in arable areas, which have a high risk of generating nutrient pollutants from excessive fertilizer or manure and eroded soil particles. The positive relationships between arable land percent and SQ, WYLD, SED, TP, and TN loads are found in other studies around the world as well (Sood et al, 2021;Wang et al, 2019;Wagner et al, 2013;Mirghaed et al, 2018;Zhang et al, 2020a). Pasture shows a positive influence on ET and negative influences on sediment, TP, and TN.…”

Section: Effects Of Lucc Predictors On Water Quantity and Qualitysupporting

confidence: 71%

“…5), with the strongest increase of SQ occurring in subbasins 15 and 17 that experienced the largest increase in urban area between 1987 and 2019. This might be attributed to the increased impervious surface which facilitates the generation of surface runoff and reduces confluence time (Anand et al, 2018;Sood et al, 2021). Contrarily, BF and WYLD have decreased by up to 20 and 13 mm, respectively, in most subbasins in the periods 1987-2010 and 1987-2019.…”

Section: Characteristics Of Land Use Changementioning

confidence: 99%

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Influences of land use changes on the dynamics of water quantity and quality in the German lowland catchment of the Stör

Lei

Wagner

Fohrer

2022

Hydrol. Earth Syst. Sci.

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Abstract. Understanding the impacts of land use changes (LUCCs) on the dynamics of water quantity and quality is necessary for the identification of mitigation measures favorable for sustainable watershed management. Lowland catchments are characterized by a strong interaction of streamflow and near-surface groundwater that intensifies the risk of nutrient pollution. In this study, we investigated the effects of long-term changes in individual land use classes on the water and nutrient balance in the lowland catchment of the upper Stör in northern Germany. To this end, the hydrological model SWAT (Soil and Water Assessment Tool) and partial least squares regression (PLSR) were used. The SWAT model runs for three different land use maps (1987, 2010, and 2019) were conducted, and the outputs were compared to derive changes in water quantity (i.e., evapotranspiration – ET; surface runoff – SQ; base flow – BF; water yield – WYLD) and quality variables (i.e., sediment yield – SED; load of total phosphorus – TP; load of total nitrogen – TN). These changes were related to land use changes at the subbasin scale using PLSR. The major land use changes that significantly affected water quantity and quality variables were related to a decrease in arable land and a respective increase in pasture and urban land during the period of 1987–2019. Changes in landscape indictors such as area size, shape, dominance, and aggregation of each land use class accounted for as much as 61 %–88 % (75 % on average) of the respective variations in water quantity and quality variables. The aggregation, contiguity degrees, and area extent of arable land were found to be most important for controlling the variations in most water quantity variables. Increases in arable (PLANDa) and urban land percent (PLANDu) led to more TP and TN pollution, sediment export, and surface runoff. The cause–effect results of this study can provide a quantitative basis for targeting the most influential change in landscape composition and configuration to mitigate adverse impacts on water quality in the future.

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