Quantitative source apportionment of water solutes and CO2 consumption of the whole Yarlung Tsangpo River basin in Tibet, China

2019 ◽  
Vol 26 (27) ◽  
pp. 28243-28255 ◽  
Author(s):  
Jiaju Liu ◽  
Yunpeng Zhao ◽  
Zheng Li ◽  
Huaicheng Guo
Keyword(s):  
Source Apportionment ◽  
River Basin ◽  
Co2 Consumption ◽  
Yarlung Tsangpo ◽  
Yarlung Tsangpo River

Changes of land cover in the Yarlung Tsangpo River basin from 1985 to 2005

2012 ◽  
Vol 68 (1) ◽  
pp. 181-188 ◽  
Author(s):  
Fapeng Li ◽  
Zongxue Xu ◽  
Youcan Feng ◽  
Mei Liu ◽  
Wenfeng Liu
Keyword(s):  
Land Cover ◽  
River Basin ◽  
Yarlung Tsangpo ◽  
Yarlung Tsangpo River

Spatiotemporal characteristics of water budget dynamic in the Yarlung Tsangpo River basin of Tibetan Plateau based on multi-source datasets

2020 ◽  
Author(s):  
Yao Jiang ◽  
Zongxue Xu
Keyword(s):  
Tibetan Plateau ◽  
River Basin ◽  
Water Budget ◽  
Water Resource Management ◽  
The Tibetan Plateau ◽  
Water Budgets ◽  
Climate Conditions ◽  
Basin Scale ◽  
Yarlung Tsangpo ◽  
Yarlung Tsangpo River

<p>Understanding the dynamics of basin-scale water budgets over the Tibetan Plateau (TP) is significant for hydrology and water resource management in the southern and eastern Asia. However, a detailed water balance analysis is limited by the lack of adequate hydro-climatic observations in this region. In this study, we investigate the spatiotemporal variation of water budget components (e.g. precipitation P, evapotranspiration ET and runoff Q etc.) in the Yarlung Tsangpo River basin (YTB) of southeast TP during the period of 1975-2015 through using multi-source datasets (e.g. insitu observation, remote sensing data products, reanalysis outputs and model simulations etc.). The change trend of water budget components and vegetation parameters was analyzed in the YTB on interannual scale. The results indicated that the detailed water budgets are different from upstream to downstream YTB due to different temperature, vegetation cover and evapotranspiration, which are mainly affected by different climate conditions. In the whole basin, precipitation that are mainly during June to October was the major contributor to the runoff. The P and Q were found to show a slight but insignificant decrease in most regions of YTB since the late 1990s, which showed positive relationships with the weakening Indian summer monsoon. While the ET showed an insignificant increase across most of the YTB, especially in the middle basin. The runoff coefficient (Q/P) exhibited an indistinctively decreasing trend which may be, to some extent, due to the overlap effects of ET increase and snow and glacier changes. The obtained results offer insights into understanding the evolution mechanism of hydrological processes in such a data-sparse region under changing environment.</p>

scholarly journals Precipitation variability and response to changing climatic condition in the Yarlung Tsangpo River basin, China

2016 ◽  
Vol 121 (15) ◽  
pp. 8820-8831 ◽  
Author(s):  
Yan-Fang Sang ◽  
Vijay P. Singh ◽  
Tongliang Gong ◽  
Kang Xu ◽  
Fubao Sun ◽  
...  
Keyword(s):  
River Basin ◽  
Climatic Condition ◽  
Precipitation Variability ◽  
Yarlung Tsangpo ◽  
Yarlung Tsangpo River

scholarly journals Spatial Distribution and Temporal Trends in the Daily Precipitation Concentration across the Yarlung Tsangpo River Basin: Eastern Himalaya of China

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mengtao Zhu ◽  
Meng Li ◽  
Chunyu Liu ◽  
Yinfei Wang ◽  
Jiqiu Li ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
River Basin ◽  
Daily Precipitation ◽  
Temporal Trends ◽  
Dry Season ◽  
Precipitation Concentration ◽  
Rescaled Range Analysis ◽  
Significant Downward Trend ◽  
Yarlung Tsangpo ◽  
Yarlung Tsangpo River

Understanding the temporal inequality in precipitation is of great importance for water resource management, environmental risk management, and ecological conservation. This study investigated the spatial patterns and trends of the daily precipitation concentration over the Yarlung Tsangpo River Basin using the concentration index (CI) and the Lorentz asymmetric coefficient (LAC). A Mann–Kendall test and Hurst’s rescaled range analysis were used to detect the change in CI trends. The CI ranged from 0.58 to 0.65, suggesting that a quarter of the rainiest days contributed approximately 69–78% of the total precipitation. The LAC analysis indicated that the nonuniform distribution of precipitation was mainly attributed to a large proportion of days with light rainfall. Compared with that of the central region, the daily precipitation in the western and eastern regions was more irregular. At a seasonal scale, the dry season had a less homogeneous spatial distribution of CI compared to that of the wet season. Most areas exhibited no significant trends in CI from 1970 to 2017. A quarter of the stations presented a significant downward trend in CI, which were primarily found in the central and northern regions. In addition, the future trends of CI in most areas mostly agree with those of the current state; however, the majority of stations exhibited an uneven precipitation distribution in the dry season.

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