world.png
The flood disaster database of Songliao basin in northeast of China
/static/upload/b0/b0b7812e-3c94-11e8-b2c5-00163e0618d6_m.jpg

Release time:2015-01-25

Browsing times: 1302

Tag:

Data Abstract

Based on the reconnaissance and analysis technology, the format tables for flood disaster data of Songliao basin are preceded and sorted through data collection and analysis. The initial information had been preceded and finished with excluding irrelevant contents and leaving the relevant parameter information to meet the requirements of database. Finally, performing quality control measures have been taken,including self- checking and checking again by others. The assemble database which is after sorting is made into a file library.The disaster cases, causes and affection of flood, rainstorm,typhoon were extracted from the file library to build the flood disaster database of Songliao basin.

Format
Excel
Time begin
2001-01-01
Time end
2013-01-01
Contributor
2017-11-10
Organization
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
Date publication
2017-11-10
Source
Self-built
Dataset Size
5120 kb
Purpose
Science research、governemntn policy-making
Data Extension
.xlxs
Production Unit
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
Data Quality
This data is complete and reliable
Contributor Address
No. 4888 Sheng Bei street, hi-tech North District, Changchun, Jilin
Contributor Postcode
130102
Contributor Phone
0431-85542316
Contributor Email
bukun@osgeo.cn
Contributor Homepage
http://www.igsnrr.ac.cn
Responsible Name
WDC RRE Working Team
RespInst Name
Institute of Geographic Sciences and Natural Resources Research, CAS.
RespInst Address
11 A, Datun Road, Chaoyang District, Beijing, 100101, China.
RespInst Postcode
100101
RespInst Phone
+86-10-64889048-8006
RespInst Email
wdc-rre(at)lreis.ac.cn
RespInst Fax
+86-10-64889048
RespInst Homepage
http://english.igsnrr.cas.cn/


    Sign in for comments!
Comment list (0)

Information evaluation
Most attention
Recent articles
All rights reserved. © World Data Center for Renewable Resources and Environment, since 2014.