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侵蚀和磷流失关键源区的分布式高分辨率建模。

Distributed, high-resolution modelling of critical source areas for erosion and phosphorus losses.

作者信息

Djodjic Faruk, Villa Ana

机构信息

Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Lennart Hjälmsv. 9, P.O. Box 7050, 75007, Uppsala, Sweden,

出版信息

Ambio. 2015 Mar;44 Suppl 2(Suppl 2):S241-51. doi: 10.1007/s13280-014-0618-4.

Abstract

Phosphorus losses from arable land need to be reduced to prevent eutrophication of surrounding waters. Owing to the high spatial variability of P losses, cost-effective countermeasures need to target parts of the catchment that are most susceptible to P losses. Field surveys identified critical source areas for overland flow and erosion amounting to only 0.4-2.6 % of total arable land in four different catchments in southern Sweden. Distributed modelling using high-resolution digital elevation data identified 72-96 % of these observed erosion and overland flow features. The modelling results were also successfully used to predict occurrence of overland flow and rill and gully erosion in a catchment in central Sweden. Such exact high-resolution modelling allows for accurate placement of planned countermeasures. However, current legislative and environmental subsidy programmes need to change their approach from income-loss compensation to rewarding high cost effectiveness of implemented countermeasures.

摘要

需要减少耕地的磷流失,以防止周边水域富营养化。由于磷流失的空间变异性很大,具有成本效益的应对措施需要针对集水区中最易发生磷流失的部分。实地调查确定了瑞典南部四个不同集水区的地表径流和侵蚀关键源区,其面积仅占总耕地的0.4%-2.6%。利用高分辨率数字高程数据进行的分布式建模识别出了这些观测到的侵蚀和地表径流特征的72%-96%。建模结果还成功用于预测瑞典中部一个集水区的地表径流以及细沟和冲沟侵蚀的发生情况。这种精确的高分辨率建模有助于精准规划应对措施。然而,当前的立法和环境补贴计划需要改变其方式,从收入损失补偿转变为奖励已实施应对措施的高成本效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a397/4329147/5be59c29849d/13280_2014_618_Fig1_HTML.jpg

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