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Ni F, Liu J, Wu P, Feng M, Sun X, Bai T, Shen X, Bianbalamu. A dataset of endorheic basins on detailed delineation and classification for the Qinghai-Tibet Plateau. Data Brief 2024; 54:110369. [PMID: 38590620 PMCID: PMC10999788 DOI: 10.1016/j.dib.2024.110369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/21/2024] [Accepted: 03/21/2024] [Indexed: 04/10/2024] Open
Abstract
Endorheic basins are important geomorphological and ecological units on the Qinghai-Tibet Plateau (QTP), which is undergoing a rapid evolution of its lake system structure and drainage reorganization that is threatening local ecology, infrastructures and residuals owing to climate change. This dataset provides a detailed delineation and classification of endorheic basins on the QTP for understanding the complex dynamics under climate changes. A newly-developed algorithm, namely the Joint Elevation-Area Threshold (JEAT) algorithm (Liu et al, 2024), is applied for delineating endorheic basins based on digital elevation model (DEM). A total of 184 endorheic basins were divided, of which the permanent divide lines were characterized. All the endorheic basins were further categorized into five groups based on the hydraulic connectivity attributes, which have been commonly observed since 2000. The dataset also includes basic information such as drainage area, water surface area, and water storage volume of each endorheic basin. It is particularly beneficial for digital watershed analysis towards ecological restoration and water resource management on the environmentally vulnerable QTP.
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Affiliation(s)
- Feiyu Ni
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, PR China
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China
| | - Jintao Liu
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, PR China
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China
| | - Pengfei Wu
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, PR China
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China
| | - Meiyan Feng
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, PR China
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China
| | - Xuyang Sun
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, PR China
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China
| | - Tianke Bai
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, PR China
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China
| | - Xuhui Shen
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, PR China
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China
| | - Bianbalamu
- Shannan Branch, Hydrology and Water Resources Survey of Tibet Autonomous Region, Shannan, Tibet 856000, PR China
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Li C, Zhang S, Zhang D, Zhou G. An intra-annual 30-m dataset of small lakes of the Qilian Mountains for the period 1987-2020. Sci Data 2023; 10:365. [PMID: 37286571 DOI: 10.1038/s41597-023-02285-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/31/2023] [Indexed: 06/09/2023] Open
Abstract
Small lakes (areas between 0.01 km2 and 1 km2) on the Qinghai-Tibet Plateau (QTP) are prone to fluctuations in number and area, with serious implications for the surface water storage and water and carbon cycles of this fragile environment. However, there are no detailed long-term datasets of the small lakes of the QTP. Therefore, the intra-annual changes of small lakes in the Qilian Mountains region (QMR) in the northeastern part of the QTP were investigated. The small lake water bodies (SLWB) in the QMR were extracted by improving existing commonly used waterbody extraction algorithms. Using the Google Earth Engine platform and 13,297 Landsat TM/ETM + /OLI images, the SLWB of the QMR were extracted from 1987 to 2020 applying the improved algorithm, cross-validation and manual corrections. The reliability, uncertainty and limitations of the improved algorithm were discussed. An intra-annual small lake dataset for QMR (QMR-SLD) from 1987 to 2020 was released, containing eight attributes: code, perimeter (km), area (km2), latitude and longitude, elevation (m), area error, relative error (%), and subregion.
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Affiliation(s)
- Chao Li
- College of Urban and Environmental Science, Northwest University, Xi'an, 710127, P.R. China
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an, 710127, P.R. China
| | - Shiqiang Zhang
- College of Urban and Environmental Science, Northwest University, Xi'an, 710127, P.R. China.
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an, 710127, P.R. China.
| | - Dahong Zhang
- College of Urban and Environmental Science, Northwest University, Xi'an, 710127, P.R. China
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an, 710127, P.R. China
| | - Gang Zhou
- College of Urban and Environmental Science, Northwest University, Xi'an, 710127, P.R. China
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an, 710127, P.R. China
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