A new online monitoring and management system for accidental pollution events developed for the regional water basin in Ningbo, China.
Due to urgency of the accidental pollution events (APE) on one side and the variability in water quality data on the other side, a new online monitoring and management system (OMMS) was developed for the purpose of sustainable water quality management and human health protection as well. The Biological Early Warning System (BEWS) based on the behavioral responses (behavior strength) of medaka (Oryzias latipes) were built in combination with the physico-chemical factor monitoring system (PFMS) in OMMS. OMMS included a monitoring center and six monitoring stations. Communication between the center and the peripheral stations was conducted by the General Packet Radio Service (GPRS) network transmission complemented by a dial-up connection for use when GPRS was unavailable. OMMS could monitor water quality continuously for at least 30 days. Once APEs occurred, OMMS would promptly notify the administrator to make some follow up decisions based on the Emergency Treatment of APE. Meanwhile, complex behavioral data were analyzed by Self-Organizing Map to properly classify behavior response data before and after contamination. By utilizing BEWS, PFMS and the modern data transmission in combination, OMMS was efficient in monitoring the water quality more realistically.
Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Chunhui Rd 18, Laishan District, Yantai 264003, People's Republic of China.
Gaosheng
G
Zhang
Linlin
L
Chen
Yuedan
Y
Liu
Taesoo
T
Chon
Zongming
Z
Ren
Zijian
Z
Wang
Jianping
J
Zhao
Yangyong
Y
Zhao
D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D005843:Geography; D009862:Online Systems; D014876:Water Pollution / Q000517:prevention & control* / Q000706:statistics & numerical data; D014881:Water Supply / Q000032:analysis*