当前位置: X-MOL 学术Hydrol. Sci. J. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A probabilistic conceptual model to attribute runoff variations to human activity
Hydrological Sciences Journal ( IF 3.5 ) Pub Date : 2021-01-22 , DOI: 10.1080/02626667.2020.1857387
Dan Liu 1, 2 , Xuan Wang 1, 2 , Fernando Jaramillo 3, 4 , Yujun Yi 1, 2 , Chunhui Li 2 , Zhifeng Yang 1, 2, 5
Affiliation  

ABSTRACT

A new probabilistic conceptual model, named the Assessment Model of Human Impact on Runoff Based on Stationarity Hypothesis (AMHIRBSH), was developed to attribute runoff variations to human activities through evaluating the changes in the runoff–runoff relationship (i.e. that between runoff of different watersheds). The AMHIRBSH was then applied to the Baiyangdian drainage basin, North China. After applying the Mann-Kendall test for trend and the Pettitt test for breakpoint, the runoff over the Baiyangdian drainage basin was shown to have had a breakpoint in approximately 1979, which split the time series into a baseline period (pre-1979) and an altered period (post-1979). The runoff was greatly reduced between these two periods. The runoff–runoff relationship of the Wangkuai and Xidayang sub-watersheds was evaluated using a copula function which showed it to have a non-stationarity degree of 35.64%, likely induced by massive afforestation programmes. This method provides an innovative perspective for attributing runoff variations to human activities.

更新日期:2021-02-16
down
wechat
bug