A Study on Design of Early Warning Decision Support System of Desertification

被引：0

作者：

Li, Zhengwei ^{[3
]}

Du, Jing ^{[4
]}

Meng, Xianyong ^{[1
,2
]}

Sun, Chen ^{[1
,2
]}

Liu, Yongqiang ^{[1
,2
]}

机构：

[1] Xinjiang Univ, Sch Resources & Environm Sci, Urumqi 830046, Peoples R China

[2] Xinjiang Univ, Key Lab Oasis Ecol, Minist Educ, Urumqi 830046, Peoples R China

[3] Environm Sci Technol Co Ltd Yunnan Luhong, Kunming 650228, Yunnan, Peoples R China

[4] Xinjiang Normal Univ, Sch Comp Sci & Technol, Urumqi 830054, Peoples R China

来源：

PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT INFORMATION PROCESSING | 2013年 / 256卷

关键词：

Desertification early warning; Database; Model-library; WebGIS; Decision support system;

D O I：

10.1007/978-3-642-38466-0_77

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

At present, the study on the slowly varying monitoring and early warning system is not perfect at home and abroad. In this paper, desertification database, knowledge base and model base are designed in details and the future evolution of the desert is predicted by the desertification early warning system. The results show that correct rate of simulated distribution of desertification reaches over 90 % in the study area. And ` Auto Set Sand instrument-Monitoring Platform' can conduct sand data analysis at anytime. In addition, the WebGIS based system provides necessary decision support for the government.

引用

页码：699 / 706

页数：8