Lake ecological water shortage early warning method based on deep learning and joint probability distribution

Lake ecological water shortage early warning method based on deep learning and joint probability distribution

The invention discloses a lake ecological water shortage early warning method based on deep learning and joint probability distribution. The method comprises the steps of 1, collecting lake hydrological data; 2, calculating the lowest ecological water level; step 3, establishing a lake water level p...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: SHIN HAENG-JI, QIAN ZHAN, HUFFEL, XING ZHENJI, HUANG FENG, ZOU JIHU, HAN SHUAI
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:The invention discloses a lake ecological water shortage early warning method based on deep learning and joint probability distribution. The method comprises the steps of 1, collecting lake hydrological data; 2, calculating the lowest ecological water level; step 3, establishing a lake water level prediction model based on deep learning; 4, constructing an edge probability distribution function of the highest water level in the first 7 days and a joint probability distribution function of the highest water level in the first 7 days and the lowest water level in the next 3 days; 5, predicting the water level in the next three days by adopting the lake water level prediction model; 6, counting the lowest water level in the next three days, comparing the lowest water level with the lowest ecological water level, and judging whether ecological water shortage exists or not; 7, calculating the probability of ecological water shortage in the next three days; and step 8, early warning. The method can be used for pred