Effects of land-use change and climate variability on streamflow in the Woken River basin in Northeast China

2019 ◽  
Vol 35 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Qiang Fu ◽  
Rui Shi ◽  
Tianxiao Li ◽  
Yankun Sun ◽  
Dong Liu ◽  
...  
2020 ◽  
Vol 65 (10) ◽  
pp. 1752-1765
Author(s):  
Muhammad Abrar Faiz ◽  
Dong Liu ◽  
Qiang Fu ◽  
Faisal Baig ◽  
Ahmad Niaz ◽  
...  

Water ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 814 ◽  
Author(s):  
Guangwen Shao ◽  
Yiqing Guan ◽  
Danrong Zhang ◽  
Baikui Yu ◽  
Jie Zhu

2019 ◽  
Vol 11 (2) ◽  
pp. 338 ◽  
Author(s):  
Leting Lyu ◽  
Xiaorui Wang ◽  
Caizhi Sun ◽  
Tiantian Ren ◽  
Defeng Zheng

Based on a land use interpretation and distributed hydrological model, soil and water assessment tool (SWAT), this study simulated the hydrological cycle in Xihe River Basin in northern China. In addition, the influence of climate variability and land use change on green water resources in the basin from 1995 to 2015 was analyzed. The results show that (1) The ENS (Nash-Sutcliffe model efficiency coefficient) and R2 (coefficient of determination) were 0.94 and 0.89, respectively, in the calibration period, and 0.89 and 0.88, respectively, in the validation period. These indicate high simulation accuracy; (2) Changes in green water flow and green water storage due to climate variability accounted for increases of 2.07 mm/a and 1.28 mm/a, respectively. The relative change rates were 0.49% and 0.9%, respectively, and the green water coefficient decreased by 1%; (3) Changes in green water flow and green water storage due to land use change accounted for increases of 69.15 mm and 48.82 mm, respectively. The relative change rates were 16.4% and 37.2%, respectively, and the green water coefficient increased by 10%; (4) Affected by both climate variability and land use change, green water resources increased by 121.3 mm and the green water coefficient increased by 9% in the Xihe River Basin. It is noteworthy that the influence of land use change was greater than that of climate variability.


2020 ◽  
Vol 7 (1) ◽  
pp. 1735714
Author(s):  
Samuel Anim Ofosu ◽  
Kwaku A. Adjei ◽  
Samuel Nii Odai ◽  
Giorgio Mannina

2012 ◽  
Vol 9 (10) ◽  
pp. 11521-11549 ◽  
Author(s):  
L. Q. Dong ◽  
G. X. Zhang ◽  
Y. J. Xu

Abstract. The Nenjiang River Basin (NRB) is an important grain-production region with abundant wetlands in Northeast China. Climate change and anthropogenic activities have dramatically altered the spatial and temporal distribution of regional stream discharge and water resources, which poses a serious threat to wetland ecosystems and sustainable agriculture. In this study, we analyzed 55-yr (1956–2010) rainfall and runoff patterns in the river basin to quantitatively evaluate the impact of human activities on regional hydrology. The long-term hydrologic series were divided into two periods: period I (1956–1974), during which minimum land use change occurred, and period II (1975–2010), during which land use change intensified. Kendall's rank correlation test, non-parametric Pettitt test and precipitation-runoff double cumulative curve (DCC) methods were utilized to identify the trends and thresholds of the annual runoff in the upstream, midstream, and downstream basin areas. Our results showed that the runoff in the NRB has continuously declined in the past 55 yr, and that the effects of climate change and human activities on the runoff reduction varied in the upstream, midstream and downstream area over different time scales. For the entire study period, climate change has been the dominant factor, accounting for 69.6–80.3% of the reduction in the total basin runoff. However, the impact of human activities has been increasing from 19.7% during the 1950s–1970s to 30.4% in the present time. Spatially, the runoff reduction became higher from the upstream to the downstream areas, revealing an increasing threat of water availability to the large wetland ecosystem in the lower river basin. Furthermore, the sustainable development of irrigated agriculture in the NRB will be a threat to the survival of the wetlands.


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