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Briefing on professional monitoring of geologic disaster monitoring and early warning project at Zigui and Xingshan counties in the Three Gorges reservoir area of the Yangtze River (2004)
  • 2020/03/26 20:02
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English name
Briefing on professional monitoring of geologic disaster monitoring and early warning project at Zigui and Xingshan counties in the Three Gorges reservoir area of the Yangtze River (2004)
CSTR
CSTR:11738.11.ncdc.Sanxia.2020.119
DOI
10.12072/sanxia.011.2017.db
Share type
Online
Category
Landslide
source site
Three Gorges landslide observation station
contributors
Yi Wu
Datasets description

  Landslide deformation monitoring data is the most significant parameter reflecting the occurrence, development and evolution of landslides, and it is the necessary basic data for landslide monitoring and early warning. This dataset records the deformation monitoring data of landslides at zigui and xingshan counties in the Three Gorges reservoir area in 2004.

  Mainly includes the landslide deformation geological investigation briefings of Baishui River landslide (Zhoujiaping Village, Shazhenxi Town, Zigui County), Yanbao landslide (Longmaxi Village, Quyuan Town, Zigui County), and Kaziwan landslide (Pengjiapo Village, Guizhou Town, Zigui County, E:110°41'50“, N:31°00'48”).

Base information
collect time 2004/07/05  -  2004/07/17
collect place Zigui and Xingshan counties in the Three Gorges Reservoir Area of the Yangtze River
data size 1.6 MiB
data format doc
Coordinate system WGS84
Data thumbnail
Data source description

  Self-produced production (instrument collection).

Data processing method

  The dataset is quality controlled through rigorous manual review.

Data quality description

  This data is manually corrected and of good quality.

Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.
When using the data, please indicate “2004 data from the National Field Scientific Observation and Research Station on Landslides in the Three Gorges of the Yangtze River in Hubei Province for the Geological Hazards Monitoring and Early Warning Project at Zigui and Xingshan Counties of the Three Gorges Reservoir Area”.

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. Yi Wu. Briefing on professional monitoring of geologic disaster monitoring and early warning project at Zigui and Xingshan counties in the Three Gorges reservoir area of the Yangtze River (2004). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2020. https://cstr.cn/CSTR:11738.11.ncdc.Sanxia.2020.119.
  2. Yi Wu. Briefing on professional monitoring of geologic disaster monitoring and early warning project at Zigui and Xingshan counties in the Three Gorges reservoir area of the Yangtze River (2004). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2020. https://www.doi.org/10.12072/sanxia.011.2017.db.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 _ncdc_meta_.json 3.9 KiB
2 长江三峡库区秭归兴山两县地质灾害监测预警工程专业监测简报2004年第4期.doc 22.0 KiB
3 长江三峡库区秭归兴山两县地质灾害监测预警工程专业监测简报2004年第5期.doc 1.3 MiB
4 长江三峡库区秭归兴山两县地质灾害监测预警工程专业监测简报2004年第6期.doc 208.0 KiB
5 长江三峡库区秭归兴山两县地质灾害监测预警工程专业监测简报2004年第7期.doc 30.5 KiB
loading
How to get the data 
east 110.30
west 111.00
south  31.18
north  30.63
Export metadata
Service information
contacts:
Yi Wu
phone:
13972006951
mailbox:
yiwu@ctgu.edu.cn
Contact information
contributors:
Yi Wu
author:
Yi Wu , Min Yu Fang
manager:
Yi Wu

©Copyright 2005-. Northwest Institute of Eco-Environment and Resources, CAS.

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