Dataset List


Oceanic region
Data Details

Paiku Co

ZHAO Wanli1CHEN Qiong1,2LIU Fenggui1,2
1School of Geographical Sciences,Qinghai Normal University,Xining 810008,China2Academy of Plateau Science and Sustainability,Xining 810008,China


Published:Jun. 2020

Visitors:245       Data Files Downloaded:6      
Data Downloaded:0.27 MB      Citations:

Key Words:

Paiku Co,Qinghai-Tibet Plateau,Tibet,data encyclopedia


Paiku Co, also known as Pogu Lake, Lamuzuhai, Lacoxinco, is the biggest lake in Shigatse, Tibet Autonomous Region, China. The Paiku Co is located at the junction of Jilong and Nylam in Shigatse. It is inland brackish water lake and the lake type is tectonic lake. The elevation of the water in the lake is 4585m. The geo-location of the Paiku Co is between 28°46′33″N and 29°01′26″N, 85°29′46″E and 85°40′15″E. It is located in the western of the rift basin on the northern foothills of the Himalayas, and surrounded by mountains on the north, east and west. The south is a flood-lacustrine plain dotted with arc hills. In 2015, the water area of the Paiku Co was 270.74 km², and the shoreline was 90.78 km. It is a plateau temperate monsoon semi-arid climate, with annual sunshine hours of 2723.5 h, annual precipitation of 380.6 mm, and a large annual temperature difference, with an average annual temperature of 3.8 ℃. The melt water from Ice and snow flows into the lake mainly by Barixiongqu, Zhaqu (Daqu) and Laqu. The dataset was developed based on Google Earth Satellite Images (2015) and related maps. The dataset is archived in .shp and .kmz formats, and consists of 14 data files with a data size of 223 KB (compressed into 2 files with 98.7KB).

Foundation Item:

Ministry of Science and Technology of P. R. China(2019QZKK0603; 2019YFA0606902)

Data Citation:

ZHAO Wanli,CHEN Qiong,LIU Fenggui.Paiku Co[J].Global Change Data Repository,2020.DOI:10.3974/geodb.2020.03.23.V1.

Data Product:

ID Data Name Data Size Operation
1 PaikuCo.kmz 43.40KB
2 PaikuCoshp.rar 55.37KB

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China


Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

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