Assessing the impact of climate variability and human activities on streamflow from the Wuding River basin in China

2007 ◽  
Vol 21 (25) ◽  
pp. 3485-3491 ◽  
Author(s):  
Li-Juan Li ◽  
Lu Zhang ◽  
Hao Wang ◽  
Juan Wang ◽  
Jun-Wei Yang ◽  
...  
Keyword(s):  
Climate Variability ◽  
River Basin ◽  
Human Activities ◽  
The Impact ◽  
The Wuding River

Spatio-temporal variability of streamflow in the Huaihe River Basin, China: climate variability or human activities?

2017 ◽  
Vol 49 (1) ◽  
pp. 177-193 ◽  
Author(s):  
Zharong Pan ◽  
Xiaohong Ruan ◽  
Mingkai Qian ◽  
Jian Hua ◽  
Nan Shan ◽  
...  
Keyword(s):  
Climate Variability ◽  
River Basin ◽  
Human Activities ◽  
River System ◽  
Kendall Test ◽  
Driving Factor ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
The Huaihe River ◽  
The Impact

AbstractThe water shortage in the Huaihe River Basin (HRB), China, has been aggravated by population growth and climate change. To identify the characteristics of streamflow change and assess the impact of climate variability and human activities on hydrological processes, approximately 50 years of natural and observed streamflow data from 20 hydrological stations were examined. The Mann–Kendall test was employed to detect trends. The results showed the following. (i) Both the natural and the observed streamflow in the HRB present downward trends, and the decreasing rate of observed streamflow is generally faster than that of the natural streamflow. (ii) For the whole period, negative trends dominate in the four seasons in the basin. The highest decreasing trends for two kinds of streamflow both occurred in spring, and the lowest ones were in autumn and winter. (iii) Based on the above analysis and quantifying assessment for streamflow decrease, human activity was the main driving factor in the Xuanwu (80.78%), Zhuangqiao (79.92%), Yongcheng (74.80%), and Mengcheng (64.73%) stations which all belong to the Huaihe River System (HRS). On the other hand, climate variability was the major driving factor in the Daguanzhuang (68.89%) and Linyi (63.38%) stations which all belong to the Yishusi River System (YSR).

scholarly journals The impacts of climate variability and human activities on streamflow in Bai River basin, northern China

2012 ◽  
Vol 44 (5) ◽  
pp. 875-885 ◽  
Author(s):  
Chesheng Zhan ◽  
Cunwen Niu ◽  
Xiaomeng Song ◽  
Chongyu Xu
Keyword(s):  
Climate Variability ◽  
Treatment Period ◽  
River Basin ◽  
Human Activities ◽  
Northern China ◽  
Testing Period ◽  
The Difference ◽  
Pre Treatment ◽  
The Impact ◽  
Streamflow Change

Both the time series analysis method and hydrological modeling approach are integrated to analyze the streamflow response to climate variability and human activities in the Bai River basin, northern China using data from 1986 to 1998 in this study. Also, the quantification and separation of effects from climate variability and human activities is investigated. First, the Fu formula based on Budyko hypothesis was applied to explore the integrated underlying surface characteristics in the whole basin, and then the SIMHYD model was calibrated and validated using the data from 1986 to 1990 (pre-treatment period). The calibrated model was then used to simulate streamflow in the period 1991 to 1998 (testing period) and obtain quantitative assessment on the impacts of climate variability and human activities. The difference of observed streamflows between the pre-treatment period and the testing period reflects the combined influence of climate variability and human activities in the basin, while the difference between simulated and observed streamflow during the testing period reflects the impact of human activities in the catchment. The results show that the contribution rate of climate to the streamflow change in the basin is 37.5 and 62.5% for human activities. Human activities exerted a dominant influence upon streamflow change in the Bai River basin.

scholarly journals Attribution Analysis of Hydrological Drought Risk Under Climate Change and Human Activities: A Case Study on Kuye River Basin in China

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1958 ◽  
Author(s):  
Zhang ◽  
Wang ◽  
Zhou
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Human Activities ◽  
Large Scale ◽  
Research Area ◽  
Drought Severity ◽  
Drought Risk ◽  
Drought Duration ◽  
Recurrence Period ◽  
The Impact

This study conducted quantitative diagnosis on the impact of climate change and human activities on drought risk. Taking the Kuye river basin (KRB) in China as the research area, we used variation point diagnosis, simulation of precipitation and runoff, drought risk assessment, and attribution quantification. The results show that: (1) the annual runoff sequence of KRB changed significantly after 1979, which was consistent with the introduction of large-scale coal mining; (2) under the same drought recurrence period, the drought duration and severity in the human activity stage were significantly worse than in the natural and simulation stages, indicating that human activities changed the drought risk in this area; and (3) human activities had little impact on drought severity in the short duration and low recurrence period, but had a greater impact in the long duration and high recurrence period. These results provide scientific guidance for the management, prevention, and resistance of drought; and guarantee sustainable economic and social development in the KRB.

Quantifying the impact of human activities on water quality based on spatialization of social data: a case study of the Pingzhai Reservoir Basin

2020 ◽  
Vol 20 (2) ◽  
pp. 688-699 ◽  
Author(s):  
Yongrong Zhang ◽  
Zhongfa Zhou ◽  
Haotian Zhang ◽  
Yusheng Dan
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Human Activities ◽  
Water Environment ◽  
Oxygen Demand ◽  
Pollution Source ◽  
Pollution Load ◽  
Social Data ◽  
Reservoir Basin ◽  
The Impact

Abstract In water pollution source research, it is difficult to quantify the impact of human activities on water quality. Based on pollution load theory and the concept of spatialization of social data, this study integrates land-use type, slope gradient, and spatial position, and uses the contribution of human activities to quantify the impact of farmland fertilizers, livestock and poultry wastes, and human domestic pollution on water quality in the study area. The results show that livestock manure is the largest source of total phosphorus (TP) and total nitrogen (TN) discharges in the research area, and domestic pollution is the largest source of chemical oxygen demand (COD) discharges. The total equal standard pollution load (as well as the load of each pollution source and its pollutant amount) is the highest in the Nayong River Basin and the lowest in the Baishui River Basin. The contributions of human activities to TP and TN have similar spatial distributions. The impact of human activities on COD discharge is minimal. The quantitative results of this model are basically consistent with the actual conditions in the Pingzhai Reservoir Basin, which suggests that the model reasonably reflects the impact of human activities on the water environment of the basin.

The impact of climate variability and land use/cover change on the water balance in the Middle Yellow River Basin, China

2019 ◽  
Vol 577 ◽  
pp. 123942 ◽  
Author(s):  
Zhenxin Bao ◽  
Jianyun Zhang ◽  
Guoqing Wang ◽  
Qiuwen Chen ◽  
Tiesheng Guan ◽  
...  
Keyword(s):  
Land Use ◽  
Water Balance ◽  
Climate Variability ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Impact

scholarly journals Runoff changes and their potential links with climate variability and anthropogenic activities: a case study in the upper Huaihe River Basin, China

2015 ◽  
Vol 46 (6) ◽  
pp. 1019-1036 ◽  
Author(s):  
Ye Zhu ◽  
Wen Wang ◽  
Yi Liu ◽  
Hongjie Wang
Keyword(s):  
Climate Variability ◽  
River Basin ◽  
Human Activities ◽  
Anthropogenic Activities ◽  
Change Point Detection ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Runoff Changes ◽  
Change Period ◽  
The Individual

The impacts of climate variability and anthropogenic activities on hydrological processes have been of wide concern in the hydrology community during recent decades. In this study, specific investigations of individual impacts of climate variability and anthropogenic activities on runoff during 1964–2010 are conducted for the upper Huaihe River Basin at Huaibin (HB) and its five sub-catchments. The non-stationary relationship between precipitation and runoff was firstly analyzed, and according to change point detection results, long-term series for each catchment was divided into pre-change period and post-change period, respectively. Then, the climate variability and human activities that occurred in the whole HB catchment were analyzed. Finally, using two quantitative evaluation methods, the individual impacts of climate variability and human activities for each catchment were assessed. The results showed that for the whole HB catchment, runoff changes during the whole post-change period are mainly attributed to climate variability, as for its sub-catchments except the Xinxian catchment. As for decadal behaviors, runoff generally suffered more human-induced impacts in dry decades (1990s) than wet decades (1980s and 2000s). These results reflected the complex role of climate variability and human activities in influencing the runoff regime, which could be considered in local water resources management.

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