A data set of inland lake catchment boundaries for the Qiangtang Plateau

Yan, Denghua; Li, Meng; Bi, Wuxia; Weng, Baisha; Qin, Tianling; Wang, Jianwei; Do, Pierre

doi:10.1038/s41597-019-0066-x

Cited by 12 publications

(12 citation statements)

References 23 publications

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“…The basemap is from MapBox Terrain Hillshade. Lake locations are fromYan et al (2019). Data points include only the filtered data (supplemental material [see text footnote 1]).…”

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confidence: 99%

Jurassic to Neogene Quantitative Crustal Thickness Estimates in Southern Tibet

Sundell

Laskowski

Kapp

et al. 2021

GSAT

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Recent empirical calibrations of Sr/Y and La/Yb from intermediate igneous rocks as proxies of crustal thickness yield discrepancies when applied to high ratios from thick crust. We recalibrated Sr/Y and La/Yb as proxies of crustal thickness and applied them to the Gangdese Mountains in southern Tibet. Crustal thickness at 180-170 Ma decreased from 36 to 30 km, consistent with Jurassic backarc extension and ophiolite formation along the southern Asian margin during Neo-Tethys slab rollback. Available data preclude detailed estimates between 170 and 100 Ma and tentatively suggest ~55 km thick crust at ca. 135 Ma. Crustal thinning between 90 and 65 Ma is consistent with a phase of Neo-Tethys slab rollback that rifted a portion of the southern Gangdese arc (the Xigaze arc) from the southern Asian margin. Following the continental collision between India and Asia, crustal thickness increased by ~40 km at ~1.3 mm/a between 60 and 30 Ma to near modern crustal thickness, before the onset of Miocene east-west extension. Sustained thick crust in the Neogene suggests the onset and later acceleration of extension in southern Tibet together with ductile lower crustal flow works to balance the ongoing mass addition of under-thrusting Indian crust and maintain isostatic equilibrium.

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“…The basemap is from MapBox Terrain Hillshade. Lake locations are fromYan et al (2019). Data points include only the filtered data (supplemental material [see text footnote 1]).…”

mentioning

confidence: 99%

Jurassic to Neogene Quantitative Crustal Thickness Estimates in Southern Tibet

Sundell

Laskowski

Kapp

et al. 2021

GSAT

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“…Such lake dynamics have led to ongoing drainage re-organizations such as basin merging and annexation, meaning that the catchments derived from a static lake mask, (such as HydroLAKES) are prone to boundary migration through time. Despite the availability of other inland lake catchment data for this region (e.g., Yan et al, 2019), the dataset from Liu et al ( 2021) is, to our knowledge, the only one that considered the ongoing drainage changes on the Tibetan Plateau due to lake inundation dynamics. They used a lake-oriented approach (Liu et al, 2020), together with the calibration of multi-temporal lake mappings, to refine the basin boundaries initially derived from MERIT DEM.…”

Section: Validationmentioning

confidence: 99%

“…In fact, despite the proliferation of river basin datasets (e.g., Lehner and Grill, 2013;Lin et al, 2021), there has been no globalscale catchment data tailored specifically for lakes. To our knowledge, only a few regional lake watershed datasets are available so far, and examples are the National Hydrography Dataset Plus Version 2 (NHDPlusV2) (McKay et al, 2012) and the Lake-Catchment (LakeCat) Dataset (Hill et al, 2018) for the US, the COmprehensive Data set for China's Lake Basins (CODCLAB) for 767 large lakes (>10 km 2 ) in China (Chen et al, 2022a), and several lake catchment datasets for the endorheic Tibetan Plateau (e.g., Liu et al, 2020 andYan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Lake-TopoCat: A global lake drainage topology and catchment database

Sikder

Wang²,

Allen³

et al. 2023

Preprint

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Abstract. Lakes and reservoirs are ubiquitous across global landscapes, functioning as the largest repository of liquid surface freshwater, hotspots of carbon cycling, and “sentinels” of climate change. Although typically considered as lentic (hydrologically stationary) environments, lakes are an integral part of global drainage networks. Through perennial and intermittent hydrological connections, lakes often communicate with each other, and these connections actively affect water mass, quality, and energy balances in both lacustrine and fluvial systems. Deciphering how global lakes are hydrologically interconnected, or the so-called “lake drainage topology”, is not only important to lake change attribution, but also increasingly critical to discharge, sediment, and carbon modeling. Despite the proliferation of river hydrography data, lakes remain poorly represented in routing models, partially because there has been no global-scale hydrography dataset tailored to lake drainage basins and networks. Here, we introduce the global Lake drainage Topology and Catchment database, or “Lake-TopoCat”, which reveals detailed lake hydrography information with a careful consideration of possible multifurcation. Lake-TopoCat contains the outlet(s) and catchment(s) of each lake, the inter-connecting reaches among lakes, and a wide suite of attributes depicting lake drainage topology such as upstream and downstream relationship, drainage distance between lakes, and a priori drainage type and connectivity with river networks. Using the HydroLAKES (v1.0) global lake mask, the Lake-TopoCat v1.0 identifies ~1.46 million outlets for ~1.43 million lakes larger than 10 ha and delineates 77.5 million km2 of lake catchments covering 57 % of the Earth’s landmass except Antarctica. The global lakes are interconnected by ~3 million reaches, derived from MERIT Hydro (v1.0.1), stretching a total distance of ~10 million km, ~80 % of which are shorter than 10 km. With such unprecedented lake hydrography details, Lake-TopoCat may facilitate a variety of limnological applications including water quality diagnosis, agriculture and fisheries, lacustrine connectivity monitoring, and integrated lake-river modeling. It is freely accessible at https://doi.org/10.5281/zenodo.7420810 (Sikder et al., 2022).

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“…From the water balance perspective, such studies are best done using hydrologically connected lakes, ideally closed basins, as study units. Combining hydrologically connected lakes in the same basin could help us understand lake water storage condition at basin scale and how lake water storage responds to external environmental forcing (e.g., variation in precipitation and glacier) 51 .…”

Section: Usage Notesmentioning

confidence: 99%

Lake volume variation in the endorheic basin of the Tibetan Plateau from 1989 to 2019

Wang

et al. 2022

Sci Data

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Lake storage change serves as a unique indicator of natural climate change on the Tibetan Plateau (TP). However, comprehensive lake storage data, especially for lakes smaller than 10 km2, are still lacking in the region. In this dataset, we completed a census of annual relative lake volume (RLV) for 976 lakes, which are larger than 1 km2, on the endorheic basin of the Tibetan Plateau (EBTP) during 1989–2019 using Landsat imagery and digital terrain models. Our method first identifies individual lakes, determines their analysis extents and calculates annual lake area from Landsat imagery. It then derives lake area-elevation relationship, estimates lake surface elevation, and calculates RLV. Validation and comparison with several existing datasets indicate our data are more reliable and comprehensive. Our study complements existing lake datasets by providing a complete and long-term lake water volume change data for the region.

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A data set of inland lake catchment boundaries for the Qiangtang Plateau

Cited by 12 publications

References 23 publications

Jurassic to Neogene Quantitative Crustal Thickness Estimates in Southern Tibet

Jurassic to Neogene Quantitative Crustal Thickness Estimates in Southern Tibet

Lake-TopoCat: A global lake drainage topology and catchment database

Lake volume variation in the endorheic basin of the Tibetan Plateau from 1989 to 2019

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