RESEARCH ARTICLE
The Research on Wetland Ecological Engineering Database Based on 3S Technology
Liwei Liu, Yinlong Zhang*
Article Information
Identifiers and Pagination:
Year: 2015Volume: 9
First Page: 979
Last Page: 983
Publisher ID: TOCIEJ-9-979
DOI: 10.2174/1874149501509010979
Article History:
Received Date: 3/2/2015Revision Received Date: 3/4/2015
Acceptance Date: 25/5/2015
Electronic publication date: 29/10/2015
Collection year: 2015
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Wetlands are important to the survival of the earth environment and ecosystems, along with the extent of the ecological study of regional governance continues to accelerate, the regulators have implemented various ecological management project management process kinds of data and information related to the increasing range. The traditional data management model is difficult to meet the current needs of engineering data management; On the other hand, the study area of wetland ecological management is a very large and complex systems engineering, the development of ecological planning for the study area, researchers need to master the ecological evolution and resource development data for the study area have a comprehensive understanding of the historical evolution. Therefore, the establishment of research and development based on 3S technology which research regional ecological engineering design data management needs of ecological engineering database is very important for the planning of the regional ecological engineering, management, decision-making, assessment, analysis and dynamic monitoring to provide technical support to achieve the dynamic management of ecological engineering, comparative study of regional environmental and ecological data at different times to seek more rational governance.