{'fraction_non_alphanumeric': 0.0169971671388102, 'fraction_numerical': 0.003777148253068933, 'mean_word_length': 5.272189349112426, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Study on Emergency Management of Sudden Water Pollution Accidents

China is facing serious environmental pollution problems and the increasingly worsening water pollution as well as frequent sudden water pollution accidents has become the most notable one. Based on theory of risk prediction and group decision, a series of emergency management methods in dealing with sudden water pollution accidents was presented. In which grey system theory was used in the prediction of sudden water pollution accidents and a GM(1,1) model was given. The results gotten from the GM(1,1) model might be useful in improving our ability of the prevention and treatment of emergent accidents. At the same time, the method of multiple group decision-making was used to illustrate the progress of making decision in real-time event of sudden water pollution accidents. This method will help the decision maker make effective decisions under emergency situation which will reduce the probability of risk, minimize losses, and guarantee the national economic and social security.