For the analysis and evaluation of agricultural droughts based on precipitation data and measured reservoir's water storage rate data and simulated reservoir's water storage rate data, precipitation data of 60 meteorological stations and 1,063 reservoir's water storage rate data were collected and a...
For the analysis and evaluation of agricultural droughts based on precipitation data and measured reservoir's water storage rate data and simulated reservoir's water storage rate data, precipitation data of 60 meteorological stations and 1,063 reservoir's water storage rate data were collected and analyzed.
And for 159 administrative areas, Standardized Precipitation Index (SPI), Agricultural Reservoir Drought Index(ARDI) and Agricultural Reservoir Drought Index Simulated(ARDIs) were developed and applied to analyze the characteristics of agricultural drought index and agricultural droughts.
And the spatial and temporal distribution characteristics of the agricultural droughts were evaluated by the quantitative and similar criteria. As the hydrological and the meteorological aspects, the diversity of agricultural droughts were confirmed. The conclusions of this study are as follows.
1) A comparison and analysis of the characteristics of agricultural droughts by collecting and analyzing the data of recent drought year’s precipitation, measured storage rate data and simulated storage rate data showed that there was a considerable time difference between shortage of precipitation and shortage of water storage rate by region and season.
From the results of this study, it is concluded that agricultural drought is not consistent with the drought damaged area, so it was confirmed that drought has a diversity. Therefore, it is necessary to analyze by various ways of meteorological method in order to understand agriculture drought and to establish correct countermeasures.
2) In order to identify hydrometeorological characteristics of agricultural droughts, SPI, ARDI and ARDIs were calculated nationwide, and the applicability was compared and examined. From the results ARDI could be applied as a national drought index if the drought classification criteria were established and ARDIs could be used as an indicator of agricultural drought in unmeasured areas.
3) As a result of the K-Means cluster analysis for SPI, ARDI and ARDIs, the regional homogeneity of agricultural droughts could be confirmed to some extent, and the management of agricultural water and the establishment of drought countermeasures could be planned on the same hydrometeorological cluster.
4) Setting the cutting level(-1.0, -2.0, -3.0) by drought index according to the Run Theory and SPI drought classification criteria and calculate the number of occurrences below the cutting level so that the duration and depth of drought, which is a characteristic factor of agricultural drought, were identified by estimating the frequency of occurrence below the cutting level. And also, these characteristics could be used for drought management.
5) In order to understand the characteristics of spatial and temporal distribution of agricultural drought index, SPI, ARDI and ARDIs of drought years are compared with each other by season and region.
SPI and ARDI showed significant differences in time and depth of drought in both spatial and temporal. ARDI and ARDIs showed similar tendency of change, and ARDIs were considered to be more representative of agricultural drought characteristics.
The results of this study suggest that agricultural drought is a problem to be solved in the medium and long term rather than short term due to various forms of development, complexity of development, and difficulty in forecasting.
Therefore, it is concluded that a preliminary and systematic approach is needed in consideration of meteorological, hydrological and hydrome- teorological characteristics rather than a fragmentary approach, and that an agricultural drought index is needed to quantitatively evaluate agricultural drought.
For the analysis and evaluation of agricultural droughts based on precipitation data and measured reservoir's water storage rate data and simulated reservoir's water storage rate data, precipitation data of 60 meteorological stations and 1,063 reservoir's water storage rate data were collected and analyzed.
And for 159 administrative areas, Standardized Precipitation Index (SPI), Agricultural Reservoir Drought Index(ARDI) and Agricultural Reservoir Drought Index Simulated(ARDIs) were developed and applied to analyze the characteristics of agricultural drought index and agricultural droughts.
And the spatial and temporal distribution characteristics of the agricultural droughts were evaluated by the quantitative and similar criteria. As the hydrological and the meteorological aspects, the diversity of agricultural droughts were confirmed. The conclusions of this study are as follows.
1) A comparison and analysis of the characteristics of agricultural droughts by collecting and analyzing the data of recent drought year’s precipitation, measured storage rate data and simulated storage rate data showed that there was a considerable time difference between shortage of precipitation and shortage of water storage rate by region and season.
From the results of this study, it is concluded that agricultural drought is not consistent with the drought damaged area, so it was confirmed that drought has a diversity. Therefore, it is necessary to analyze by various ways of meteorological method in order to understand agriculture drought and to establish correct countermeasures.
2) In order to identify hydrometeorological characteristics of agricultural droughts, SPI, ARDI and ARDIs were calculated nationwide, and the applicability was compared and examined. From the results ARDI could be applied as a national drought index if the drought classification criteria were established and ARDIs could be used as an indicator of agricultural drought in unmeasured areas.
3) As a result of the K-Means cluster analysis for SPI, ARDI and ARDIs, the regional homogeneity of agricultural droughts could be confirmed to some extent, and the management of agricultural water and the establishment of drought countermeasures could be planned on the same hydrometeorological cluster.
4) Setting the cutting level(-1.0, -2.0, -3.0) by drought index according to the Run Theory and SPI drought classification criteria and calculate the number of occurrences below the cutting level so that the duration and depth of drought, which is a characteristic factor of agricultural drought, were identified by estimating the frequency of occurrence below the cutting level. And also, these characteristics could be used for drought management.
5) In order to understand the characteristics of spatial and temporal distribution of agricultural drought index, SPI, ARDI and ARDIs of drought years are compared with each other by season and region.
SPI and ARDI showed significant differences in time and depth of drought in both spatial and temporal. ARDI and ARDIs showed similar tendency of change, and ARDIs were considered to be more representative of agricultural drought characteristics.
The results of this study suggest that agricultural drought is a problem to be solved in the medium and long term rather than short term due to various forms of development, complexity of development, and difficulty in forecasting.
Therefore, it is concluded that a preliminary and systematic approach is needed in consideration of meteorological, hydrological and hydrome- teorological characteristics rather than a fragmentary approach, and that an agricultural drought index is needed to quantitatively evaluate agricultural drought.
주제어
#Agricultural Drought Spatial Distribution of Agricultural Droughts Drought Index Standardized Precipitation Index(SPI) SPI Agricultural Reservoir Drought Index(ARDI) ARDI Agricultural Reservoir Drought Index simulated(ARDIs) ARDIs Cluster Analysis
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