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Groundwater Dataset in the Baiyangdian Lake Basin


YUAN Ruiqiang1SONG Xianfang2
1 School of Environment and Resource,Shanxi University,Taiyuan 030006,China2 Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China

DOI:10.3974/geodb.2016.02.05.V1

Published:Apr. 2016

Visitors:18982       Data Files Downloaded:290      
Data Downloaded:90.00 MB      Citations:

Key Words:

Baiyangdian Lake,Groundwater,Tritium,Progress in Geography

Abstract:

In order to find the relationship between the groundwater and the rivers change in Baiyangdian lake basin, the authors collected 36 samples in this area in June 2009. Although there were samples at northern and southern parts of the region, more samples were collected in the center part, where there were more socio-economic activities. The water indexes and elements of these samples were analyzed at the Key Laboratory of Groundwater Science and Engineering, Ministry of Land Resources of China. The Groundwater Dataset in the Baiyangdian Lake Basin (GroundwaterDataBaiyangdian2009) consisted of 5 parts, they are: (1) boundary data of the Baiyangdian lake basin (Watershed_BYD); (2) rivers and lakes in the Baiyangdian lake basin (River_Lake_BYD); (3) contours of groundwater in low region of Baiyangdian lake basin (ContourWaterLevel_BYD); (4) 36 sample data (SamplingData) and (5) statistics of Tritium content in rainfall from 1954 -2007. The data are archived in .shp and .xlsx formats. The compressed data size is 318MB. The analysis paper of these data has been published in Progress in Geography, No. 3, Vol. 34, 2015.Browse

Foundation Item:

National Natural Science Foundation of China(41301033); Ministry of Science and Technology of P. R. China (2010CB428805)

Data Citation:

YUAN Ruiqiang, SONG Xianfang. Groundwater Dataset in the Baiyangdian Lake Basin[J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.02.05.V1.

Yuan, R. Q., Song, X. F. The dataset of groundwater in the Baiyangdian Lake catchment of China [J]. Journal of Global Change Data & Discovery, 2017, 1(4): 460–463. DOI: 10.3974/geodp.2017.04.13.

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0Datapaper_GroundwaterDataBaiyangdian2009.pdf620.00kbDownLoad
1 GroundwaterDataBaiyangdian2009.rar 317.79KB
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