Water regime shifts in the active soil layer of the Qinghai–Tibet Plateau permafrost region, under different levels of vegetation

Wang, Genxu; Li, Shengnan; Hu, Hongchang; Yuan-shou, LI

doi:10.1016/j.geoderma.2008.12.008

Cited by 36 publications

(8 citation statements)

References 16 publications

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“…According to Kang, 2 the amount of soil water resources is >50% of the amount of precipitation, and soil water storage amounts is ∼16.5 × 10 12 m or 7.8 times the runoff for the entire Earth. 4,[7][8][9][10][11][12][13][14][15] The Weihe River Basin locates in the hinterland and spreads over three climatic zones, including temperate and warm temperate semidry zone and a warm temperate semihumid zone. 3 However, soil water resource has not been given equal importance with other water resources as defined in a narrower sense (i.e., surface water resources and ground water resources) for a long period of time, and a uniform concept of soil water resources is also lacking.…”

Section: Introductionmentioning

confidence: 99%

Spatially explicit estimation of soil-water resources by coupling of an eco-hydrological model with remote sensing data in the Weihe River Basin of China

Wang

Yang

et al. 2014

J. Appl. Remote Sens

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Downloaded From: http://remotesensing.spiedigitallibrary.org/ on 05/14/2015 Terms of Use: http://spiedl.org/termsAbstract. Soil-water resources are key components for agriculture and have great potential. Strategic and significant efforts are, therefore, required to make full use of soil-water resources, especially in dry or semidry areas. We coupled a soil-water model with remotely sensed data and associated techniques to analyze the spatial-temporal dynamics of soil-water resources in the Weihe River Basin in China. The moderate-resolution imaging spectroradiometer (MODIS), Chinese meteorological satellite precipitation estimation data (FY-2), and global land data assimilation system (GLDAS) products were used for spatial land surface characteristics interpretation and model parameters derivation. The modeling results were compared and validated using data from a nearby observation site. The average soil-water resources of the Weihe River Basin vary between 40 and 100 mm during the simulation period from January to December, with a maximum of 99 mm appearing in August and a minimum of 38 mm in December. Forest land was characterized by large soil-water resources, with an average annual rate of 1094.7 mm. Farmland and grassland exhibited low values, with average annual rates of 986.7 and 893.5 mm, respectively. The results could be taken into consideration for soil-water resources management.

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Section: Introductionmentioning

confidence: 99%

Spatially explicit estimation of soil-water resources by coupling of an eco-hydrological model with remote sensing data in the Weihe River Basin of China

Wang

Yang

et al. 2014

J. Appl. Remote Sens

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“…For example, we do not exactly understand the interaction between the surface water and groundwater in the permafrost region, and the uncertainty extends to the permafrost aquifer due to the lack of intense observation data and related theories [4,32,42]. Glacier and snow meltwater are the main sources of river runoff on the Qinghai-Tibet Plateau, but a lack of data, parameters, and methods hinders exact simulations of the effects of meltwater on surface runoff [1]. Thus, data-scarce conditions and parameter uncertainty present limitations and formidable challenges to numerical runoff model applicability.…”

Section: Validity Of the Ann Models Using Two And Three Variables To mentioning

confidence: 99%

“…In the permafrost regions of the QinghaiTibet Plateau, Ge et al [62] also found that, with increased warming, there is more groundwater flow in the active layer and therefore increased groundwater discharge to rivers. Because permafrost covers only 42% of the YERHR, less than that of the YARHR (76%) and LARHR (63%) [1], the increased groundwater in the YERHR is believed to be significantly less than that in the YARHR. Glaciers cover 1895.0 km 2 in the YARHR, 316.32 km 2 in the LARHR, and only 172.41 km 2 in the YERHR [56].…”

Section: Impacts Of Climate Change On Runoffmentioning

confidence: 99%

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ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China

Chang

Wang

Mao

et al. 2017

Advances in Meteorology

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Precisely quantitative assessments of stream flow response to climatic change and permafrost thawing are highly challenging and urgent in cold regions. However, due to the notably harsh environmental conditions, there is little field monitoring data of runoff in permafrost regions, which has limited the development of physically based models in these regions. To identify the impacts of climate change in the runoff process in the Three-River Headwater Region (TRHR) on the Qinghai-Tibet Plateau, two artificial neural network (ANN) models, one with three input variables (previous runoff, air temperature, and precipitation) and another with two input variables (air temperature and precipitation only), were developed to simulate and predict the runoff variation in the TRHR. The results show that the three-input variable ANN model has a superior real-time prediction capability and performs well in the simulation and forecasting of the runoff variation in the TRHR. Under the different scenarios conditions, the forecasting results of ANN model indicated that climate change has a great effect on the runoff processes in the TRHR. The results of this study are of practical significance for water resources management and the evaluation of the impacts of climatic change on the hydrological regime in long-term considerations.

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“…The influx of tourists potentially breaks the primitive environmental conditions in this region. These broken conditions require a long time, several decades or more, to recover because of the treeless and vegetationless environment in the plateau (Genxu et al 2009). Also, the associated activities of tourists cast adverse environmental impacts on the plateau environment as well.…”

Section: The Influx Of Touristsmentioning

confidence: 99%

The Qinghai–Tibet Railway: A landmark project and its subsequent environmental challenges

Qin

Bo²

2010

Environ Dev Sustain

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The first part of this paper reviews the environment-friendly techniques implemented when the Qinghai-Tibet Railway was built. They include (1) state-of-the-art techniques to protect the permafrost in the subgrade of the railway embankment; (2) measures to avoid disturbing the species in the Qinghai-Tibet Plateau; (3) efforts to minimize the disturbance of the grassland and wetland; and (4) regulation to ensure the environmental disposal of the construction waste. The second part presents the subsequent environmental challenges which, after the operation of the railway, potentially risk the fragile ecological and environmental system in the plateau. The challenges come from the skyrocketing tourists, expansive natural resource exploitation, the long-term efficiency of permafrost-protected measure, and climatic warming.

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Water regime shifts in the active soil layer of the Qinghai–Tibet Plateau permafrost region, under different levels of vegetation

Cited by 36 publications

References 16 publications

Spatially explicit estimation of soil-water resources by coupling of an eco-hydrological model with remote sensing data in the Weihe River Basin of China

Spatially explicit estimation of soil-water resources by coupling of an eco-hydrological model with remote sensing data in the Weihe River Basin of China

ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China

The Qinghai–Tibet Railway: A landmark project and its subsequent environmental challenges

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