Impacts of climate change and human activities on surface runoff in the Dongjiang River basin of China

2010 ◽  
Vol 24 (11) ◽  
pp. 1487-1495 ◽  
Author(s):  
Dedi Liu ◽  
Xiaohong Chen ◽  
Yanqing Lian ◽  
Zhanghua Lou
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Human Activities ◽  
Surface Runoff ◽  
Dongjiang River ◽  
Impacts Of Climate Change

scholarly journals Impacts of Climate Change and Human Activities on the Surface Runoff in the Wuhua River Basin

2018 ◽  
Vol 10 (10) ◽  
pp. 3405 ◽  
Author(s):  
Zhengdong Zhang ◽  
Luwen Wan ◽  
Caiwen Dong ◽  
Yichun Xie ◽  
Chuanxun Yang ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
River Basin ◽  
Human Activities ◽  
Surface Runoff ◽  
Annual Runoff ◽  
Land Use Type ◽  
Cultivated Land ◽  
Temperature And Precipitation ◽  
Impacts Of Climate Change

The impacts of climate change and human activities on the surface runoff in the Wuhua River Basin (hereinafter referred to as the river basin) are explored using the Mann–Kendall trend test, wavelet analysis, and double-mass curve. In this study, all the temperature and precipitation data from two meteorological stations, namely, Wuhua and Longchuan, the measured monthly runoff data in Hezikou Hydrological Station from 1961 to 2013, and the land-cover type data in 1990 and 2013 are used. This study yields valuable results. First, over the past 53 years, the temperature in the river basin rose substantially, without obvious changes in the average annual precipitation. From 1981 to 2013, the annual runoff fluctuated and declined, and this result is essentially in agreement with the time-series characteristics of precipitation. Second, both temperature and precipitation had evidently regular changes on the 28a scale, and the annual runoff changed on the 19a scale. Third, forestland was the predominant land use type in the Wuhua river basin, followed by cultivated land. Major transitions mainly occurred in both land-use types, which were partially transformed into grassland and construction land. From 1990 to 2013, cultivated land was the most active land-use type in the transitions, and construction land was the most stable type. Finally, human activities had always been a decisive factor on the runoff reduction in the river basin, accounting for 85.8%. The runoff in the river basin suffered most heavily from human activities in the 1980s and 1990s, but thereafter, the impact of these activities diminished to a certain extent. This may be because of the implementation of water loss and soil erosion control policies.

Assessments of Impacts of Climate Change and Human Activities on Runoff with SWAT for the Huifa River Basin, Northeast China

2012 ◽  
Vol 26 (8) ◽  
pp. 2199-2217 ◽  
Author(s):  
Aijing Zhang ◽  
Chi Zhang ◽  
Guobin Fu ◽  
Bende Wang ◽  
Zhenxin Bao ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Human Activities ◽  
Northeast China ◽  
Impacts Of Climate Change

scholarly journals Analyzing the Impact of Climate Change and Human Activities on Surface Runoff in the Changbai Mountain Area, Northeast China

Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3473
Author(s):  
Shanjun Zhang ◽  
Jia Liu ◽  
Chuanzhe Li ◽  
Fuliang Yu ◽  
Lanshu Jing ◽  
...  
Keyword(s):  
Climate Change ◽  
Time Series ◽  
River Basin ◽  
Human Activities ◽  
Surface Runoff ◽  
Northeast China ◽  
Changbai Mountain ◽  
Mountain Area ◽  
Mountainous Regions ◽  
Runoff Changes

Climate change and human activities are two important factors affecting surface runoff. In water resource management and planning, it is generally important to separate the contribution of these factors when assessing runoff changes. The Changbai Mountain area is rich in water resources and is an important hydropower energy base for Northeast China. This study used Sen’s slope estimator to explore trends in runoff precipitation and evapotranspiration from 1960 to 2016, and the results showed a downward trend in runoff and an upward trend in precipitation and evaporation in most areas. The mutation point of the annual time series for the observed runoff was estimated, and the time series was divided into the base period (1960–1975) and impact period (1976–2016). Based on the Budyko framework, we performed attribution analysis of the runoff changes, and analyzed the difference between the mountainous region and the whole basin. We determined that the impacts of climate change and human activities, on average, accounted for decreases in the runoff by 60.15% and 39.85%, respectively, for the Second Songhua River Basin; 73.74% and 26.26%, respectively, for the Tumen River Basin; 84.76% and 15.24%, respectively, for the Yalu River Basin; human activities were the main causes of runoff changes in the Changbai Mountain area; climate change was the main cause of runoff changes in mountainous regions. The results of this study show that the reasons for the change in runoff in mountainous regions and the whole basin in the same area are different, which has some illuminating significance for water resources management of different elevation areas.

scholarly journals Effects of Climate Change and Human Activities on Surface Runoff in the Luan River Basin

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Sidong Zeng ◽  
Chesheng Zhan ◽  
Fubao Sun ◽  
Hong Du ◽  
Feiyu Wang
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Human Activities ◽  
Surface Runoff ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Integrated Method ◽  
Climate Elasticity ◽  
Runoff Change ◽  
Runoff Changes

Quantifying the effects of climate change and human activities on runoff changes is the focus of climate change and hydrological research. This paper presents an integrated method employing the Budyko-based Fu model, hydrological modeling, and climate elasticity approaches to separate the effects of the two driving factors on surface runoff in the Luan River basin, China. The Budyko-based Fu model and the double mass curve method are used to analyze runoff changes during the period 1958~2009. Then two types of hydrological models (the distributed Soil and Water Assessment Tool model and the lumped SIMHYD model) and seven climate elasticity methods (including a nonparametric method and six Budyko-based methods) are applied to estimate the contributions of climate change and human activities to runoff change. The results show that all quantification methods are effective, and the results obtained by the nine methods are generally consistent. During the study period, the effects of climate change on runoff change accounted for 28.3~46.8% while those of human activities contributed with 53.2~71.7%, indicating that both factors have significant effects on the runoff decline in the basin, and that the effects of human activities are relatively stronger than those of climate change.

Intra-annual Distribution of Streamflow and Individual Impacts of Climate Change and Human Activities in the Dongijang River Basin, China

2015 ◽  
Vol 29 (8) ◽  
pp. 2677-2695 ◽  
Author(s):  
Xinjun Tu ◽  
Vijay P. Singh ◽  
Xiaohong Chen ◽  
Lu Chen ◽  
Qiang Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Human Activities ◽  
Annual Distribution ◽  
Impacts Of Climate Change
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