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Data Details

Drought and Flood Dataset of Baoji Region, China (1368-1911)


WAN Honglian1SONG Hailong2ZHU Chanchan2ZHANG Mi3
1Key Laboratory of Disaster Monitoring and Mechanism Simulation of Shaanxi Province,Baoji University of Arts and Sciences,Baoji 721013,Shaanxi,China2Shaanxi Suide Middle School,Suide 718000,Shaanxi3YanAn Experimental Middle School,YanAn 716000,Shaanxi,China

DOI:10.3974/geodb.2018.04.09.V1

Published:Jun. 2018

Visitors:120       Data Files Downloaded:30      
Data Downloaded:0.83 MB      Citations:

Key Words:

Baoji region,drought,flood,1368-1911,Acta Geographica Sinica

Abstract:

According to the grade standard of drought and flood, 7 levels of the drought and flood were identified, they are: 1 - Extremely flood; 2 – Severe flood; 3 – Mild flood; 4 – Normal; 5 – Mild drought; 6 – Severe drought; 7 – Extremely drought. Based on the historical record of drought and flood in Baoji region during 1368-1911, the Drought and Flood Dataset of Baoji Region (1368-1911) was developed. The dataset is consisted of three tables: 1) Grade, anomaly and cumulative anomaly of drought and flood in Baoji region from 1368 to 1911; 2) The drought and flood grade frequency of Baoji region from 1368 to 1911; 3) Seasonal distribution of drought and flood disasters recorded in Baoji region from 1368 to 1911. The dataset is archived in.xlsx format, with data size of 53.3 KB in a file. The analysis paper related this dataset was published at the Journal of Acta Geographica Sinica, Vol. 72, No. 1, 2017.

Foundation Item:

National Natural Science Foundation of China (41371497); Shaanxi Province (2016KTCL03-17, 15JS008); Baoji City (14SFGG-2); Baoji University of Arts and Sciences (ZK16031)

Data Citation:

WAN Honglian,SONG Hailong,ZHU Chanchan,ZHANG Mi.Drought and Flood Dataset of Baoji Region, China (1368-1911)[DB/OL].Global Change Research Data Publishing & Repository,2018.DOI:10.3974/geodb.2018.04.09.V1.

Data Product:

ID Data Name Data Size Operation
1 DroughtFloodBaoji_1368-1911.xlsx 28.40kb DownLoad
Co-Sponsors

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

The Geographical Society of China

Parteners

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

Digital Linchao GeoMuseum