scholarly journals Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau

2016 ◽  
Author(s):  
Xiaomang Liu ◽  
Tiantian Yang ◽  
Koulin Hsu ◽  
Changming Liu ◽  
Soroosh Sorooshian
Keyword(s):  
Tibetan Plateau ◽  
River Basin ◽  
Yangtze River ◽  
Yellow River ◽  
Yangtze River Basin ◽  
Information Source ◽  
Hydrologic Model ◽  
The Tibetan Plateau ◽  
Climate Data ◽  
Streamflow Simulation

Abstract. On the Tibetan Plateau, the limited ground-based rainfall information owing to a harsh environment has brought great challenges to hydrological studies. Satellite-based rainfall products, which allow a better coverage than both radar network and rain gauges on the Tibetan Plateau, can be suitable observation alternatives for investigating the hydrological processes and climate change. In this study, a newly developed daily satellite-based precipitation product, termed Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR), is used as input of a hydrologic model to simulate streamflow in the upper Yellow and Yangtze River Basin on the Tibetan Plateau. The results show that the simulated streamflow using PERSIANN-CDR precipitation is closer to observation than that using limited gauge-based precipitation interpolation in the upper Yangtze River Basin. The simulated streamflow using gauge-based precipitation are higher than the streamflow observation during the wet season. In the upper Yellow River Basin, PERSIANN-CDR precipitation and gauge-based precipitation have similar good performance in simulating streamflow. The evaluation of streamflow simulation capability in this study partly indicates that PERSIANN-CDR rainfall product has good potentials to be a reliable dataset and an alternative information source besides the sparse gauge network for conducting long term hydrological and climate studies on the Tibetan Plateau.

scholarly journals Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau

2017 ◽  
Vol 21 (1) ◽  
pp. 169-181 ◽  
Author(s):  
Xiaomang Liu ◽  
Tiantian Yang ◽  
Koulin Hsu ◽  
Changming Liu ◽  
Soroosh Sorooshian
Keyword(s):  
Tibetan Plateau ◽  
River Basin ◽  
Yangtze River ◽  
Yellow River ◽  
Yangtze River Basin ◽  
Information Source ◽  
River Basins ◽  
Hydrologic Model ◽  
The Tibetan Plateau ◽  
Streamflow Simulation

Abstract. On the Tibetan Plateau, the limited ground-based rainfall information owing to a harsh environment has brought great challenges to hydrological studies. Satellite-based rainfall products, which allow for a better coverage than both radar network and rain gauges on the Tibetan Plateau, can be suitable alternatives for studies on investigating the hydrological processes and climate change. In this study, a newly developed daily satellite-based precipitation product, termed Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks – Climate Data Record (PERSIANN-CDR), is used as input for a hydrologic model to simulate streamflow in the upper Yellow and Yangtze River basins on the Tibetan Plateau. The results show that the simulated streamflows using PERSIANN-CDR precipitation and the Global Land Data Assimilation System (GLDAS) precipitation are closer to observation than that using limited gauge-based precipitation interpolation in the upper Yangtze River basin. The simulated streamflow using gauge-based precipitation are higher than the streamflow observation during the wet season. In the upper Yellow River basin, gauge-based precipitation, GLDAS precipitation, and PERSIANN-CDR precipitation have similar good performance in simulating streamflow. The evaluation of streamflow simulation capability in this study partly indicates that the PERSIANN-CDR rainfall product has good potential to be a reliable dataset and an alternative information source of a limited gauge network for conducting long-term hydrological and climate studies on the Tibetan Plateau.

Effects of convection over the Tibetan Plateau on rainstorms downstream of the Yangtze River Basin

2019 ◽  
Vol 219 ◽  
pp. 24-35 ◽  
Author(s):  
Yang Zhao ◽  
Xiangde Xu ◽  
Liping Liu ◽  
Rong Zhang ◽  
Hongxiong Xu ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
The Tibetan Plateau ◽  
The Yangtze River ◽  
The Yangtze River Basin

scholarly journals Carbon Storage Change Analysis and Emission Reduction Suggestions under Land Use Transition: A Case Study of Henan Province, China

2021 ◽  
Vol 18 (4) ◽  
pp. 1844
Author(s):  
Dongyang Xiao ◽  
Haipeng Niu ◽  
Jin Guo ◽  
Suxia Zhao ◽  
Liangxin Fan
Keyword(s):  
Land Use ◽  
River Basin ◽  
Yangtze River ◽  
Carbon Emission ◽  
Yellow River ◽  
Yangtze River Basin ◽  
Yellow River Basin ◽  
River Basins ◽  
Henan Province ◽  
Huai River

The significant spatial heterogeneity among river basin ecosystems makes it difficult for local governments to carry out comprehensive governance for different river basins in a special administrative region spanning multi-river basins. However, there are few studies on the construction of a comprehensive governance mechanism for multi-river basins at the provincial level. To fill this gap, this paper took Henan Province of China, which straddles four river basins, as the study region. The chord diagram, overlay analysis, and carbon emission models were applied to the remote sensing data of land use to analyze the temporal and spatial patterns of carbon storage caused by land-use changes in Henan Province from 1990 to 2018 to reflect the heterogeneity of the contribution of the four basins to human activities and economic development. The results revealed that food security land in the four basins decreased, while production and living land increased. Ecological conservation land was increased over time in the Yangtze River Basin. In addition, the conversion from food security land to production and living land was the common characteristic for the four basins. Carbon emission in Henan increased from 134.46 million tons in 1990 to 553.58 million tons in 2018, while its carbon absorption was relatively stable (1.67–1.69 million tons between 1990 and 2018). The carbon emitted in the Huai River Basin was the main contributor to Henan Province’s total carbon emission. The carbon absorption in Yellow River Basin and Yangtze River Basin had an obvious spatial agglomeration effect. Finally, considering the current need of land spatial planning in China and the goal of carbon neutrality by 2060 set by the Chinese government, we suggested that carbon sequestration capacity should be further strengthened in Yellow River Basin and Yangtze River Basin based on their respective ecological resource advantages. For future development in Hai River Basin and Huai River Basin, coordinating the spatial allocation of urban scale and urban green space to build an ecological city is a key direction to embark upon.

A Comparative Study on Calculating Water Storage Change of River Basin Based on Two Methods

2014 ◽  
Vol 1030-1032 ◽  
pp. 465-471
Author(s):  
Min Xu ◽  
Jian Wang ◽  
Qiu Dong Zhao
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yellow River ◽  
Yangtze River Basin ◽  
Water Storage ◽  
Critical Issue ◽  
Frozen Soil ◽  
Global Land ◽  
Grace Satellites ◽  
Storage Change

Water scarcity is a critical issue in most regions of China; however, river basin groundwater monitoring is extremely limited.This study evaluates the ability of the GRACE satellites and Global Land Data Assimilation System(GLDAS) to monitor groundwater storage in the Yellow River Basin and Yangtze River Basin, China, which is subjected to intense irrigation, production and living. The simulated terrestrial water storage change data which was calculateed by Global Land Data Assimilate System was used to compare the accuracy of GRACE data. Results show that both two datas show significant seasonal cycle in the Yangtze River and Yellow River (except frozen soil), the correlation is 0.89 and 0.84(p<0.05).Two methods have some differences on grid scales, the results which was retrieved by GRACE satellites have better continuity than simulated by GLDAS. GRACE inversion results reflect deeper water storge change in soil, and GLDAS simply reflect surface soil moisture.

scholarly journals Quantification of Evaporative Sources of Precipitation and Its Changes in the Southeastern Tibetan Plateau and Middle Yangtze River Basin

Atmosphere ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 428 ◽  
Author(s):  
Yu Xu ◽  
Yanhong Gao
Keyword(s):  
Tibetan Plateau ◽  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Local Source ◽  
Wet Season ◽  
Southeastern Tibetan Plateau ◽  
Precipitation Recycling ◽  
The Indian Ocean ◽  
The Difference

The Southeastern Tibetan Plateau (SETP) and the Middle Yangtze River Basin (MYRB) show a large difference in their levels of precipitation, despite the fact that they are located within the same latitude band. The annual precipitation in the MYRB is much higher than in the SETP. Precipitation has decreased in the past three decades in both regions. To clarify the difference in precipitation and its changes between these two regions in recent decades, a quasi-isentropic backward trajectory (QIBT) model is used to track the evaporative source with the ERA-Interim reanalysis as the baseline. The wet seasons (from April to September) over the period of 1982–2011 were analyzed. Evaporative sources were divided into an oceanic portion and a terrestrial portion, in which local recycling was included. Our conclusions are as follows. A terrestrial evaporative source, including a neighboring terrestrial land source and local source, dominates both regions, although the summer monsoon regulates precipitation in the wet season. The local precipitation recycling ratio is 35% in the SETP and 29% in the MYRB. The oceanic evaporative source in the MYRB is five times larger than that in the SETP. The decrease in the oceanic evaporative source in the Indian Ocean is responsible for the decrease in precipitation in the SETP. In the MYRB, decreases in neighboring terrestrial sources dominate the precipitation decline. Regardless of the decreases in the remote oceanic or neighboring terrestrial evaporative sources, the local recycling ratio increased in both regions.

Climate Change of Tibetan Plateau and its Impact on Water Resources of the Source Region of Yangtze River and Yellow River in the next 30~50 Years

2010 ◽  
Vol 171-172 ◽  
pp. 547-550
Author(s):  
Zhi Gang Cheng ◽  
Guang Zhou Fan
Keyword(s):  
Climate Change ◽  
Tibetan Plateau ◽  
Yangtze River ◽  
Large Scale ◽  
Yellow River ◽  
Source Region ◽  
Annual Runoff ◽  
Climate Data ◽  
Average Annual Runoff ◽  
The Future

Based on high resolution dynamic downscaling meteorological forcing data, climate change of Tibetan Plateau and possible trends in runoff of the source region of Yangtze River and Yellow River were analyzed by using large-scale distributed hydrology model under future climate warming. The average annual runoff of the source region of Yangtze River and Yellow River will increase by 8.58% and 9.19% in the future 30 to 50 years. Although the annual precipitation will increase up to 4.48%, the average annual runoff of the source of Yellow River will reduce only by 1.98% in the next 30 to 50 years. The variations of runoff in the source area of Yangtze River and Yellow River are analyzed by using the climate data projected for the future 30 to 50 years and the scenario simulations of the land use/cover change. These results indicate that the runoff is the minimum (maximum) at forest land (bare land).

Features and controlling factors of drainage networks in the Tibetan Plateau

2020 ◽  
Author(s):  
Minhui Li ◽  
Baosheng Wu ◽  
Yi Chen
Keyword(s):  
Tibetan Plateau ◽  
Yangtze River ◽  
Yellow River ◽  
Controlling Factors ◽  
River Networks ◽  
The Tibetan Plateau ◽  
Self Similarity ◽  
Drainage Networks ◽  
Yarlung Zangbo River ◽  
Yalong River

&lt;p&gt;&lt;span&gt;&lt;span lang=&quot;EN-US&quot;&gt;Tibetan Plateau is the source of many major rivers in Asia. Drainage networks of these rivers vary in shapes and features due to complex climatic and geomorphic conditions. In this study, we extracted drainage networks in the source area of Yellow River, Yangtze River and Yarlung Zangbo River from 90-m-resolution SRTM DEM. We chose 62 sub-basins in the Yellow River, 96 sub-basins in the Yangtze River and 120 sub-basins in the Yarlung Zangbo River and tested self-similarity of drainage networks in two ways. First, we tested self-similarity for traditional Horton laws. Based on Horton-Strahler order, the results indicate that rivers with low levels generally obey Horton laws while rivers with high levels show deviation. Second, we tested statistical self-similarity in the topology of river networks. Random self-similar networks (RSN) model which combines self-similarity and randomness shows topological features of river networks statistically. Real networks were decomposed into generators that produce the network. The results demonstrate that the generators of RSN model obey a geometric distribution and the parameter p, which describes the distribution of generators, ranges from 0.401 to 0.587. Self-similarity holds in a statistical sense in the selected basins in the Tibetan Plateau. Motivated by the need to understand the controlling factors of drainage networks in Tibetan Plateau, these sub-basins were divided into groups according to possible controlling factors, such as climate, tectonic and geology. Analysis shows that Horton ratios and generators of low-level rivers are affected by precipitation, but the relationship between these parameters of high-level rivers and these factors is not obvious. In order to further explore the controlling factors, we analyzed three typical rivers (Tao River, Yalong River and Lasa River) in more details. For Yalong River, Tao River and Lasa River, bifurcation ratios are 4.46, 5.00 and 4.37 while the length ratios are 2.35, 2.71 and 2.30 respectively. The Normalized Concavity Index for Tao River, Lasa River and Yalong River are -0.129, -0.082 and 0.009&lt;/span&gt; &lt;span lang=&quot;EN-US&quot;&gt;respectively, indicating that the profiles of the first two rivers are concave-up and that of Yalong River is convex-up. The influence of climate is well reflected in the structure and longitudinal profiles of the drainage network in the Tibetan Plateau. Strong tectonic activities in the eastern margin of the Tibetan Plateau destroy the network of Yalong River, resulting in river capture to maintain equilibrium.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

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