Contribution of ecological conservation programs and climate change to hydrological regime change in the source region of the Yangtze River in China

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Kaisheng Luo
Keyword(s):  
Climate Change ◽  
Yangtze River ◽  
Regime Change ◽  
Source Region ◽  
Hydrological Regime ◽  
The Yangtze River ◽  
Conservation Programs ◽  
Ecological Conservation

Response of water resources to climate change and its future trend in the source region of the Yangtze River

2013 ◽  
Vol 23 (2) ◽  
pp. 208-218 ◽  
Author(s):  
Lin Li ◽  
Hongyan Shen ◽  
Sheng Dai ◽  
Hongmei Li ◽  
Jianshe Xiao
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Yangtze River ◽  
Source Region ◽  
Future Trend ◽  
The Yangtze River

scholarly journals Evaluation of hydrological response under future climate change by revising meteorological data in the source region of the Yangtze River, China

2021 ◽  
Author(s):  
Xiaohong Chen ◽  
Haoyu Jin ◽  
Pan Wu ◽  
Wenjun Xia ◽  
Ruida Zhong ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Yangtze River ◽  
Meteorological Data ◽  
Source Region ◽  
Future Climate ◽  
Future Climate Change ◽  
Hydrological Response ◽  
The Yangtze River ◽  
Data Correction

Abstract The source region of the Yangtze River (SRYR) is located in the hinterland of the Tibetan Plateau (TP). The natural environment is hash, and the hydrological and meteorological stations are less distributed, making the observed data are relatively scarce. In order to overcome the impact of lack of data, the China Meteorological Forcing Dataset (CMFD) was used to correct the meteorological data, to make the data more closer to the real distribution on the SRYR surface. This paper used the Soil and Water Assessment Tool (SWAT) to verify interpolation effect. Since the SRYR is an important water resource protection area, have a great significance to study the hydrological response under future climate change. The Back Propagation (BP) neural network algorithm was used to integrate data extracted from the six Global Climate Models (GCMs), and then the SWAT model was used to predict runoff changes in the future status. The results show that the CMFD data set has a high precision in the SRYR, and can be used for meteorological data correction. After the meteorological data correction, the Nash-Sutcliffe efficiency increased from 0.64 to 0.70. Under the future climate change, the runoff in the SRYR shows a decreasing trend, and the distribution of runoff during the year changes greatly. This reflects the amount of water resources in the SRYR will be decreased, which will brings challenges to water resources management in the SRYR.

scholarly journals Assessment on the Effect of Climate Change on Streamflow in the Source Region of the Yangtze River, China

Water ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 70 ◽  
Author(s):  
Huanqing Bian ◽  
Haishen Lü ◽  
Ali Sadeghi ◽  
Yonghua Zhu ◽  
Zhongbo Yu ◽  
...  
Keyword(s):  
Climate Change ◽  
Yangtze River ◽  
Source Region ◽  
The Yangtze River

scholarly journals Estimation of glacier runoff and future trends in the Yangtze River source region, China

2009 ◽  
Vol 55 (190) ◽  
pp. 353-362 ◽  
Author(s):  
Liu Shiyin ◽  
Zhang Yong ◽  
Zhang Yingsong ◽  
Ding Yongjian
Keyword(s):  
Climate Change ◽  
River Runoff ◽  
Yangtze River ◽  
Source Region ◽  
Late Summer ◽  
Early Summer ◽  
Climate Change Scenarios ◽  
The Yangtze River ◽  
Glacier Runoff ◽  
The Impact

AbstractGlacier runoff from the Yangtze River source region (YRSR), China, is estimated for the period 1961–2000 using a degree-day approach. In the investigation area, glacier runoff accounts for 11.0% of the total river runoff during the period 1961–2000. In the 1990s its contribution to river runoff rises to 17.0%. Due to the current rate of glacier decline, the impact of glacier runoff on river runoff has recently increased in the source region. Based on two different climate-change scenarios derived from ECHAM5/MPI-OM, future glacier runoff is assessed for the period 2001–50. In all climate-change scenarios, annual glacier runoff shows a significant increase due to intensified ice melting. There is an increase in glacier runoff during spring and early summer, yet a significant decrease in late summer. This study highlights the current and future impact of glacier runoff on river runoff in the YRSR.

scholarly journals Hydrologic Response of Climate Change in the Source Region of the Yangtze River, Based on Water Balance Analysis

Water ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 115 ◽  
Author(s):  
Yiheng Du ◽  
Ronny Berndtsson ◽  
Dong An ◽  
Linus Zhang ◽  
Zhenchun Hao ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Balance ◽  
Yangtze River ◽  
Source Region ◽  
Hydrologic Response ◽  
The Yangtze River ◽  
Balance Analysis

scholarly journals Effects of climatic factors on the net primary productivity in the source region of Yangtze River, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhe Yuan ◽  
Yongqiang Wang ◽  
Jijun Xu ◽  
Zhiguang Wu
Keyword(s):  
Climate Change ◽  
Primary Productivity ◽  
Yangtze River ◽  
Net Primary Productivity ◽  
Climatic Factors ◽  
Source Region ◽  
Primary Reason ◽  
Vegetation Types ◽  
Temperature And Precipitation ◽  
Increasing Trend

AbstractThe ecosystem of the Source Region of Yangtze River (SRYR) is highly susceptible to climate change. In this study, the spatial–temporal variation of NPP from 2000 to 2014 was analyzed, using outputs of Carnegie–Ames–Stanford Approach model. Then the correlation characteristics of NPP and climatic factors were evaluated. The results indicate that: (1) The average NPP in the SRYR is 100.0 gC/m2 from 2000 to 2014, and it shows an increasing trend from northwest to southeast. The responses of NPP to altitude varied among the regions with the altitude below 3500 m, between 3500 to 4500 m and above 4500 m, which could be attributed to the altitude associated variations of climatic factors and vegetation types; (2) The total NPP of SRYR increased by 0.18 TgC per year in the context of the warmer and wetter climate during 2000–2014. The NPP was significantly and positively correlated with annual temperature and precipitation at interannual time scales. Temperature in February, March, May and September make greater contribution to NPP than that in other months. And precipitation in July played a more crucial role in influencing NPP than that in other months; (3) Climatic factors caused the NPP to increase in most of the SRYR. Impacts of human activities were concentrated mainly in downstream region and is the primary reason for declines in NPP.

scholarly journals Temperature Change and Its Elevation Dependency in the Source Region of the Yangtze River and Yellow River

2014 ◽  
Vol 6 (2) ◽  
pp. 124 ◽  
Author(s):  
Chongyi E ◽  
Hongchang Hu ◽  
Hong Xie ◽  
Yongjuan Sun
Keyword(s):  
Temperature Change ◽  
Minimum Temperature ◽  
Yangtze River ◽  
Yellow River ◽  
Source Region ◽  
Maximum Temperature ◽  
Climatic Data ◽  
The Yangtze River ◽  
Extreme Minimum Temperature ◽  
The Mean

The study of temperature change and its elevation dependency in the source region of the Yangtze River and Yellow River have been insufficient owing to the lack of adequate observation stations and long-term climatic data. In this study five temperature indices of 32 stations from 1961 to 2007 in and near the source region are used. The 32 stations all have experienced significant warming; the warming amplitudes are higher than the mean warming amplitude of the Qinghai-Tibetan plateau. The warming amplitudes and the numbers of stations showing significant warming trends in mean minimum temperature and extreme minimum temperature are higher than that of the mean maximum temperature and extreme maximum temperature. The elevation dependency of climatic warming and the amount of significant warming stations are not obvious; the influence of human activity and urbanization may be higher. The warming amplitudes of 26 stations above 3000 m tend to be uniform, and there is no significant law at 6 stations below 3000 m. On the contrary, the ratio of stations showing significant warming in minimum temperature above 4000 m is far less than that of the stations below 4000 m.

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