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.

[1]  Tae-Soo Chon,et al.  Analysis of behavioral changes of zebrafish (Danio rerio) in response to formaldehyde using Self-organizing map and a hidden Markov model , 2011 .

[2]  C. Moldaenke,et al.  Detection of chemical threat agents in drinking water by an early warning real‐time biomonitor , 2003, Environmental toxicology.

[3]  Declan Page,et al.  Application of a risk management framework to a drinking water supply augmented by stormwater recharge. , 2011, Water science and technology : a journal of the International Association on Water Pollution Research.

[4]  Miguel Rodriguez,et al.  Biosensors for rapid monitoring of primary-source drinking water using naturally occurring photosynthesis. , 2002, Biosensors & bioelectronics.

[5]  Keith Richards,et al.  AN INTEGRATED APPROACH TO MODELLING HYDROLOGY AND WATER QUALITY IN GLACIERIZED CATCHMENTS , 1996 .

[6]  Olga Bridges.  Double trouble: health risks of accidental sewage release. , 2003, Chemosphere.

[7]  Yang Kai.  Statistical analysis on water pollution incident in urban water supply area in China during the year 1985 to 2005 , 2006 .

[8]  Harro Bode,et al.  Advanced river quality monitoring in the Ruhr basin , 1999 .

[9]  J. H. Ward.  Hierarchical Grouping to Optimize an Objective Function , 1963 .

[10]  Hilairy E. Hartnett,et al.  Influence of oxygen exposure time on organic carbon preservation in continental margin sediments , 1998, Nature.

[11]  Xiaosi Su,et al.  Transport and fate modeling of nitrobenzene in groundwater after the Songhua River pollution accident. , 2010, Journal of environmental management.

[12]  A. Mazumder,et al.  Health and environmental policy issues in Canada: the role of watershed management in sustaining clean drinking water quality at surface sources. , 2003, Journal of environmental management.

[13]  Zongming Ren,et al.  Differences in the behavior characteristics between Daphnia magna and Japanese madaka in an on-line biomonitoring system. , 2010, Journal of environmental sciences.