Analyzing the contributions of climate change and human activities on runoff in the Northeast Tibet Plateau

Yang, Yuheng; Weng, Baisha; Man, Zihao; Yu, Zhiqing; Zhao, Jinle

doi:10.1016/j.ejrh.2019.100639

Cited by 26 publications

(20 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies have found that the snowmelt period of the TP is shortening, which will increase the probability of snowmelt floods and thus is worthy of vigilance Sun et al, 2019). Runoff simulation in plateau mountainous areas needs to be combined with models that consider snowmelt runoff (Yang et al, 2020). Previous studies have found that the Yarlung Zangbo River snow melt water accounts for 9.7% of the total runoff, the source area of the Yangtze River accounts for 13.6%, and the upper reaches of the Heihe River accounts for 16.1% (Sobota et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…At the same time, there are abundant water resources in glaciers and snow, which are an important water supply for rivers and affect the regional surface water cycle, water resources distribution, and local production and life (Zhu et al, 2012). At present, research on snow cover mainly focuses on the temporal and spatial changes of snow cover, changes in snow cover trends, snow depth and snow line, snow albedo and snow melting mechanism (Dong et al, 2020;Farrington and Tsering, 2019;Yang et al, 2020;Zhao et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spatio-Temporal Changes of Snow Cover and Its Relationship With Meteorological Factors on the Qinghai-Tibet Plateau, China

Jin¹,

chen²

2021

Preprint

View full text Add to dashboard Cite

The Qinghai-Tibet Plateau (TP) is one of the most sensitive areas to climate change, and its ecological environment changes directly or indirectly reflect the global climate change trend. The snow cover ratio (SCR) is an important indicator reflecting the climate and environmental changes of the TP. The daily remote sensing data of snow cover on the TP from 2003 to 2014 were used to study the spatio-temporal distribution of snow cover on the TP. The results have shown that the average snowmelt day on the TP starts on the 103rd day and ends on the 223rd day of a year, and the snowmelt duration has a downward trend. Snow is mainly distributed in the Nyainqentanglha Mountains, Karakoram Mountains and Himalayas. The SCR in summer has a downward trend, while in autumn has a rising trend. This shows that the difference in SCR during the year has enlarged, increasing the risk of snowmelt floods. The SCR is highly correlated with temperature, but weakly correlated with precipitation. Using the long-term remote sensing data of snow cover, the distribution of glacier coverage on the TP can be extracted, in which glaciers on the TP account for about 1%. This research provides an important reference for in-depth understanding of the snow cover changes on the TP and their impact on the environment.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Changes of Snow Cover and Its Relationship With Meteorological Factors on the Qinghai-Tibet Plateau, China

Jin¹,

chen²

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, it is necessary to assess the impact of climate change on the water resources in the watersheds of the Tibetan Plateau region. However, in previous studies, most studies have focused on the impact of precipitation changes on BWF [22,23]. In fact, temperature is also a major factor that can influence water resources, especially GWF.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Climate Change on Blue and Green Water Resources in the Middle and Upper Yarlung Zangbo River, China

Huo

Zhu

et al. 2021

Atmosphere

View full text Add to dashboard Cite

The Yarlung Zangbo River is the largest river on the Tibetan Plateau and a major international river in South Asia. Changes in the blue and green water resources in its basin are of great importance to the surrounding local and Asian regions in the context of global warming. This research used the Soil and Water Assessment Tool model to estimate blue and green flows (BWF and GWF) and analyze the spatial-temporal distribution characteristics under different hypothetical climate change scenarios. The results show that (1) the multi-year average BWF in the middle and upper reaches of the Yarlung Zangbo River Basin is 176.2 mm, the GWF is 213.1 mm, and the difference between precipitation and total water resources is only 5.4 mm; (2) both BWF and GWF in this basin showed a slightly increasing trend from 1980 to 2010, but the distribution of subbasins from upstream to downstream is decreasing; and (3) GWF has a positive correlation with both precipitation and temperature, but BWF only increases with precipitation and decreases with increasing temperature. Moreover, the change in blue and green water resources is more sensitive to the changes in precipitation than to changes in the temperature.

show abstract

“…The factors for runoff change can be divided into two groups: climate change and human activities [2][3][4]. Therefore, a lot of studies have attempted to estimate the effects of climate change and human activities on runoff [5][6][7]. There are four kinds of methods commonly used to separate the effects of human activities and climate change, namely empirical statistics, elasticity-based method, hydrological modeling, and conceptual model [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…Soil and Water Assessment Tool (SWAT) is a popular model to deal with this issue [9,17]. Geomorphology-based hydrological model (GBHM) and Water and Energy Transfer Process for a Large basin model (WEP-L) are also applied to cope with it [5,18]. The conceptual model is proposed by Tomer and Schilling [2] based on a 25-year, small-watershed experiment in Iowa.…”

Section: Introductionmentioning

confidence: 99%

Decomposition and Attribution Analysis of Runoff Alteration of the Dongting Lake in China

Huang

Tian

et al. 2020

Water

View full text Add to dashboard Cite

The runoff process in the Dongting Lake has been influenced by climate change and human activities in recent decades. To manage the Dongting Lake efficiently and exploit water resources properly under the background of water shortage, it is desired to detect the factors of runoff change in the Dongting Lake. Hydro-meteorological data from 1961 to 2019 are analyzed to reveal the climate change and runoff alteration of the Dongting Lake comprehensively. Mutation test is used to detect the change points of runoff depth series, finding that 1984 and 2005 are change points and therefore 1961–1983, 1984–2004, and 2005–2019 are regarded as baseline period (BP), period 1 (P1), and period 2 (P2), respectively. Eight methods are used to quantitatively assess the relative contribution of human activities and climate change on runoff variation. It reveals that climate change especially precipitation change plays the dominant role (climate change makes runoff depth increase 70.14–121.51 mm, human activities make runoff depth decrease 51.98–103.35 mm) in runoff alteration in P1 while human activities play a prime role (account for 88.47–93.17%) in P2. Human activities such as reservoir construction, water consumption, and land-use (land-cover) change may be the main factors that influence the runoff in the Dongting Lake in P2. According to the sensitivity analysis, runoff in the Dongting Lake is more sensitive to climate change in P2 compared with that in P1, and no matter in P1 or P2, runoff is more sensitive to change in precipitation than the change in potential evapotranspiration. Combined with climate forecast, the results of sensitivity analysis can be used to estimate runoff change caused by climate change in the future.

show abstract

Analyzing the contributions of climate change and human activities on runoff in the Northeast Tibet Plateau

Cited by 26 publications

References 52 publications

Spatio-Temporal Changes of Snow Cover and Its Relationship With Meteorological Factors on the Qinghai-Tibet Plateau, China

Spatio-Temporal Changes of Snow Cover and Its Relationship With Meteorological Factors on the Qinghai-Tibet Plateau, China

Impacts of Climate Change on Blue and Green Water Resources in the Middle and Upper Yarlung Zangbo River, China

Decomposition and Attribution Analysis of Runoff Alteration of the Dongting Lake in China

Contact Info

Product

Resources

About