2020
DOI: 10.3390/rs12071096
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Modeling the Relationship of Precipitation and Water Level Using Grid Precipitation Products with a Neural Network Model

Abstract: Modeling the relationship between precipitation and water level is of great significance in the prevention of flood disaster. In recent years, the use of machine learning algorithms for precipitation–water level prediction has attracted wide attention in flood forecasting and other fields; however, a clear method to model the relationship of precipitation and water level using grid precipitation products with a neural network model is lacking. The issues of the method include how to select a neural network mod… Show more

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Cited by 8 publications
(4 citation statements)
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References 39 publications
(43 reference statements)
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“…The biggest challenge in implementing the evapotranspirative irrigation was high rain intensity during one growing season. In hydrology, rainfall is always correlated to the water level as many models have been developed [33,34]; thus, rainfall becomes the most important factor in predicting water level under natural conditions. RMSE values of the CFI regime showed the lowest level, indicating that the CFI plot was the best in controlling water level (Table 2).…”
Section: Performance Of Evapotranspirative Irrigationmentioning
confidence: 99%
“…The biggest challenge in implementing the evapotranspirative irrigation was high rain intensity during one growing season. In hydrology, rainfall is always correlated to the water level as many models have been developed [33,34]; thus, rainfall becomes the most important factor in predicting water level under natural conditions. RMSE values of the CFI regime showed the lowest level, indicating that the CFI plot was the best in controlling water level (Table 2).…”
Section: Performance Of Evapotranspirative Irrigationmentioning
confidence: 99%
“…CHIRPS is a fusion of satellite images and data from rain-gauge stations. More detailed information on CHIRPS can be found in recent publications [32][33][34][35]. CHIRPS data perform well at the watershed scale.…”
Section: Study Area and Databasementioning
confidence: 89%
“…Our aim is to analyze the effects of rainfall and lake-level changes on the occurrence of landslides and surface movements. A number of studies have also been carried out in recent years on the effect of different water patterns on slope stability [53][54][55][56][57][58][59][60].…”
Section: Methodsmentioning
confidence: 99%