2021
DOI: 10.3390/w13182546
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Improving Efficiency of Hydrological Prediction Based on Meteorological Classification: A Case Study of GR4J Model

Abstract: Distribution of hydrological parameters is varied under contrasting meteorological conditions. However, how to determine the most suitable parameters on a predefined meteorological condition is challenging. To address this issue, a hydrological prediction method based on meteorological classification is established, which is conducted by using the standardized runoff index (SRI) value to identify three categories, i.e., the dry, normal and wet years. Three different simulation schemes are then adopted for thes… Show more

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Cited by 3 publications
(1 citation statement)
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“…Runoff is the main variable for the hydrological analysis from catchment to a continent and global scale which is in direct interaction with rainfall, groundwater, soil moisture, humidity and snow. In addition, various meteorological and climatological variables like temperature, evaporation, humidity, and air pressure provoke the volume of runoff 9 . The nature of hydrological systems could be monitored through the various types of hydrological models which give a deeper insight into the physical interaction between the various parameters and their response to each other 10 13 .…”
Section: Introductionmentioning
confidence: 99%
“…Runoff is the main variable for the hydrological analysis from catchment to a continent and global scale which is in direct interaction with rainfall, groundwater, soil moisture, humidity and snow. In addition, various meteorological and climatological variables like temperature, evaporation, humidity, and air pressure provoke the volume of runoff 9 . The nature of hydrological systems could be monitored through the various types of hydrological models which give a deeper insight into the physical interaction between the various parameters and their response to each other 10 13 .…”
Section: Introductionmentioning
confidence: 99%