{'fraction_non_alphanumeric': 0.015945330296127564, 'fraction_numerical': 0.0, 'mean_word_length': 4.707792207792208, '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}}
DECISION SUPPORT SYSTEM FOR OPERATING LAKE KINNERET AT HIGH WATER LEVELS

Managing Lake Kinneret (the Sea of Galilee) at high water levels is complicated since it has to prevent the flooding of the surrounding areas, and at the same time, assure the highest possible water level at the end of the rainy season. Water level in the Lake is controlled by the Degania Dam, which, at high levels, has to be operated in advance in order to free storage for potential floods. A Decision Support System for the operation of Lake Kinneret at high water levels (LKDSS) consists of several simulation and forecast models, which assist the decision makers responsible for the operation of the Lake. The paper presents an Artificial Neural Network model for the prediction of the daily net inflows into Lake Kinneret and a Fuzzy rule based model for the optimal operation of the Degania Dam.