DocumentCode
526378
Title
Analysis of runoff temporal and spatial distribution based on cloud model
Author
Tian Yu ; Lei Xiaohui ; Jie, Li ; Hao, Wang ; Yunzhong, Jiang
Author_Institution
Sch. of Civil Eng., Tianjin Univ., Tianjin, China
Volume
3
fYear
2010
fDate
9-11 July 2010
Firstpage
168
Lastpage
172
Abstract
In the past data mining and knowledge discovery, people mainly focused on the study of data mining algorithms, while neglected of research on knowledge expression, quantitative and qualitative transformation. The paper put the quantitative and qualitative characteristics of cloud model into hydrological time series analysis, and the construction method of runoff temporal and spatial distribution based on cloud model is proposed, through the numerical features of cloud model, the characteristics of runoff temporal and spatial distribution able to give in quantity and in quality. The method has been applied in the Minjiang watershed, the result has been compared with M-K trend test, is reasonable. In the recent year, droughts and floods have been happened in the upstream of Yangtze River basin including Minjing and other watershed frequently, cloud model able to give quantitative and qualitative water resources assessment, will give suggestive advice for water management.
Keywords
data mining; floods; hydrological techniques; rivers; time series; water conservation; water resources; China; M-K trend test; Minjiang watershed; Yangtze River basin; cloud model; construction method; data mining algorithms; droughts; floods; hydrological time series analysis; knowledge discovery; runoff spatial distribution; runoff temporal distribution; water management; water resources assessment; Clouds; M-K trend test; Minjiang watershed; could model; runoff change;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563700
Filename
5563700
Link To Document