Analysis of the spatial Distribution of precipitation and topography with GPM data in the Tibetan Plateau

Li, Guiping; Yu, Zhongbo; Wang, Weiguang; Ju, Qin; Xing, Chen

doi:10.1016/j.atmosres.2020.105259

Cited by 45 publications

(38 citation statements)

References 39 publications

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“…The distribution pattern of rainfall or extreme heavy rainfall usually had a high consistency with regional topographical changes (del Moral et al, 2020;Li et al, 2021).…”

Section: Fig 11 Number Of Flash Floods Under Different Rainfall Gradesmentioning

confidence: 94%

Spatiotemporal variation of flash floods in the Hengduan Mountains region affected by rainfall properties and land use

et al. 2021

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“…The distribution pattern of rainfall or extreme heavy rainfall usually had a high consistency with regional topographical changes (del Moral et al, 2020;Li et al, 2021).…”

Section: Fig 11 Number Of Flash Floods Under Different Rainfall Gradesmentioning

confidence: 94%

Spatiotemporal variation of flash floods in the Hengduan Mountains region affected by rainfall properties and land use

et al. 2021

View full text Add to dashboard Cite

“…The distribution pattern of rainfall or extreme heavy rainfall usually had a high consistency with regional topographical changes (del Moral et al, 2020;Li et al, 2021).…”

Section: Fig 11 Number Of Flash Floods Under Different Rainfall Gradesmentioning

confidence: 99%

“…The 22a time scale corresponds to the second peak, which is the second principal period. The spatial distribution of rainfall in the HMR region was different, affected by the topography (Li et al, 2021), which decreased from southwest to northwest (Fig. 7a-d).…”

Section: Rainfall Characteristicmentioning

confidence: 99%

“…The weather system is becoming more and more unstable under climate change, increasing extreme weather events (Roy et al, 2020;Yu et al, 2018a). One of the main impacts appears to increase the frequency and magnitude of extreme rainfall events (Allan and Soden, 2008;Barredo, 2006;Debortoli et al, 2017;Li et al, 2021;Llasat et al, 2021). Meanwhile, Land-use has undergone tremendous transition due to urbanization and the intensification of human activities (Antonio et al, 2019;Avashia and Garg, 2020;Wan Mohtar et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…The Hengduan Mountains region (HMR), located in the eastern margin of the Tibetan Plateau, also has an obvious response to climate change (Wang et al, 2013;Xu et al, 2018), with an increase in extreme precipitation (Huang et al, 2020;Shi et al, 2014;Wu et al, 2017;Zhang et al, 2014). Heavy rainfall distribution was affected by the complex topography and presented a significant spatial discrepancy (Li et al, 2021;Li et al, 2011;Ma et al, 2013). The morphology of the mountainous basins with small and steep river catchments can turn the intense runoff generation into severe devastating flash floods (Penna and Borga, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Variation of Flash Floods in the Hengduan Mountains Region Affected by Rainfall Properties and Land-use

Sun

Zhang

Wang

et al. 2021

Preprint

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Understanding the spatiotemporal characteristic of flash floods is significant for the reasonable and accurate identification of high-risk regions of disasters as well as future prediction of hydrological regimes. Therefore, this study collected time-series datasets (1979-2015) of historical flash flood events, rainfall, and land-use in the Hengduan Mountains region, China to characterize the spatiotemporal variation in flash floods affected by the change in rainfall and land-use. Using linear trend, a significant increase with 12 times/10a for flash flood events was found while 82% of events occurred in the flood season (June–August). They were closely related to the increase in frequency (3.5 d/10a) and magnitude (215.55 mm/10a) of heavy rainfall as well as the amplified artificial (999 km2). Affected by heavy rainfall due to climate change and human activity, significant periodic variations on the scales of 3-7a, 8-15a, and 21-31a were derived based on the Morlet wavelet analysis. Meanwhile, utilizing the standard elliptical difference, we identified the moving route of the gravity center of flash floods, with the direction from northwest to southeast. More recorded disasters generally were found in the south of the Hengduan Mountain region, where was mainly controlled by frequent rainstorms and the formation of more cropland and artificial with higher runoff potential. These findings can be an appropriate supplement for lack of understanding of the spatiotemporal dynamics of flash floods in the Hengduan Mountains region and could provide policymakers with evidence to identify high-risk areas which is difficult to cope with in the mountainous watershed.

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Spatiotemporal variability of streamflow in the Pearl River Basin: Controls of land surface processes and atmospheric impacts

Zhang,

Gan,

Yang

2024

Hydrological Processes

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To advance understanding of the spatiotemporal variability of the streamflow in the Pearl River Basin (PRB), we used the Soil and Water Assessment Tool model to simulate the water fluxes from 2010 to 2020 and to identify the underlying controlling mechanisms. The streamflow in the PRB is highly variable and controlled by complex land surface processes and atmospheric impacts over the heterogeneous terrain. Two key factors primarily govern the streamflow: (1) the location of the active precipitation zone, which is determined by the interaction between the monsoon path and uplifting effect of the terrain, and (2) the redistributions resulting from land use and soil characteristics. We observe distinct patterns in the different water fluxes across the different regions. Specifically, surface flow exhibits the highest activity within the precipitation zone. Lateral flow and actual evapotranspiration (AET) have the greatest intensity in the forests and in agricultural regions, respectively, and the aquifer flow is more active in areas with coarse soil textures. The land surface processes of the AET and aquifer retention significantly govern the temporal variability of the streamflow, contributing to the precipitation and streamflow being out of phase in the PRB. Based on the underlying mechanisms driving streamflow variability, we classify the PRB into three substreams: a drought‐prone upstream, a hydrologically active midstream, and a typhoon‐affected downstream, and each substream exhibits distinct spatiotemporal characteristics of streamflow. We find that the time series and probability distributions of the streamflow at different tributaries within each substream are similar. Each probability distribution is multimodal and can be decomposed into three unimodal distributions representing dry, transitional, and wet conditions. Specifically, the PRB features a large and steep dry mode, a flat transitional mode, and a short wet mode.

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Analysis of the spatial Distribution of precipitation and topography with GPM data in the Tibetan Plateau

Cited by 45 publications

References 39 publications

Spatiotemporal variation of flash floods in the Hengduan Mountains region affected by rainfall properties and land use

Spatiotemporal variation of flash floods in the Hengduan Mountains region affected by rainfall properties and land use

Spatiotemporal Variation of Flash Floods in the Hengduan Mountains Region Affected by Rainfall Properties and Land-use

Spatiotemporal variability of streamflow in the Pearl River Basin: Controls of land surface processes and atmospheric impacts

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