Name
Abstract | ||
|---|---|---|
Natural calamity disrupts our daily life and brings many sufferings in our life. Among the natural calamities, flood is one of the most catastrophic. Predicting flood helps us to take necessary precautions and save human lives. Several types of data (meteorological condition, topography, river characteristics, and human activities) are used to predict flood water level in an area. In our previous works, we proposed a belief rule based flood prediction system in a desktop environment. In this paper, we propose a web-service based flood prediction expert system by incorporating belief rule base with the capability of reading sensor data such as rainfall, river flow on real time basis. This will facilitate the monitoring of the various flood-intensifying factors, contributing in increasing the flood water level in an area. Eventually, the decision makers would able to take measures to control those factors and to reduce the intensity of flooding in an area. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2837185.2837212 | iiWAS |
Field | DocType | Citations |
Streamflow,Data mining,Rule-based system,Computer science,Expert system,Natural disaster,Data type,Web application,Flooding (psychology),Flood myth | Conference | 5 |
PageRank | References | Authors |
0.49 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raihan Ul Islam | 1 | 12 | 3.72 |
| Karl Andersson | 2 | 80 | 22.20 |
| Mohammad Shahadat Hossain | 3 | 32 | 12.25 |