Since weather factors such as precipitation and temperature etc. show repeated patterns every year, it can be said that future changes can be predicted by analyzing past weather data. Therefore, when a drought occurs, the groundwater level is also lowered, so it can be seen that a change in the groundwater level can represent a drought. Like precipitation, groundwater level changes also have a high correlation with drought, so many researchers use SGI (standardized groundwater level index) to which the SPI (standardized precipitation index) method is applied to evaluate the severity of drought and predict trends. However, these approaches have the limitations to indicate the real groundwater system because the drought grades for the entire area are defined with the observation data of a single monitoring well without surrounding influences. When analyzing groundwater level fluctuations to understand the correlation with drought, it is necessary to calculate and apply the actual groundwater level that reflects groundwater use interference. Therefore, in this study, based on the long-term groundwater level data at 162 monitoring well installed before 2015 in Korea, the characteristics of groundwater level changes were analyzed and compared with the period of agricultural drought over the past five years. From the results, it can be confirmed that agricultural drought in regions is classified using the percentile of the SPI method by conducting a frequency analysis that the current groundwater level increase or decrease compared to the past average groundwater level.
| Published in | Journal of Water Resources and Ocean Science (Volume 11, Issue 1) |
| DOI | 10.11648/j.wros.20221101.12 |
| Page(s) | 14-29 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Groundwater Level, SPI, SGI, Agricultural Drought
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APA Style
Chan-Duck Jeong, Byung-Sun Lee, Gyu-Sang Lee, Jun-Kyum Kim, Sung-Ho Song. (2022). Suggestion of Classification Method for Agricultural Drought Using Groundwater Level Change. Journal of Water Resources and Ocean Science, 11(1), 14-29. https://doi.org/10.11648/j.wros.20221101.12
ACS Style
Chan-Duck Jeong; Byung-Sun Lee; Gyu-Sang Lee; Jun-Kyum Kim; Sung-Ho Song. Suggestion of Classification Method for Agricultural Drought Using Groundwater Level Change. J. Water Resour. Ocean Sci. 2022, 11(1), 14-29. doi: 10.11648/j.wros.20221101.12
AMA Style
Chan-Duck Jeong, Byung-Sun Lee, Gyu-Sang Lee, Jun-Kyum Kim, Sung-Ho Song. Suggestion of Classification Method for Agricultural Drought Using Groundwater Level Change. J Water Resour Ocean Sci. 2022;11(1):14-29. doi: 10.11648/j.wros.20221101.12
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Download@article{10.11648/j.wros.20221101.12,
author = {Chan-Duck Jeong and Byung-Sun Lee and Gyu-Sang Lee and Jun-Kyum Kim and Sung-Ho Song},
title = {Suggestion of Classification Method for Agricultural Drought Using Groundwater Level Change},
journal = {Journal of Water Resources and Ocean Science},
volume = {11},
number = {1},
pages = {14-29},
doi = {10.11648/j.wros.20221101.12},
url = {https://doi.org/10.11648/j.wros.20221101.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20221101.12},
abstract = {Since weather factors such as precipitation and temperature etc. show repeated patterns every year, it can be said that future changes can be predicted by analyzing past weather data. Therefore, when a drought occurs, the groundwater level is also lowered, so it can be seen that a change in the groundwater level can represent a drought. Like precipitation, groundwater level changes also have a high correlation with drought, so many researchers use SGI (standardized groundwater level index) to which the SPI (standardized precipitation index) method is applied to evaluate the severity of drought and predict trends. However, these approaches have the limitations to indicate the real groundwater system because the drought grades for the entire area are defined with the observation data of a single monitoring well without surrounding influences. When analyzing groundwater level fluctuations to understand the correlation with drought, it is necessary to calculate and apply the actual groundwater level that reflects groundwater use interference. Therefore, in this study, based on the long-term groundwater level data at 162 monitoring well installed before 2015 in Korea, the characteristics of groundwater level changes were analyzed and compared with the period of agricultural drought over the past five years. From the results, it can be confirmed that agricultural drought in regions is classified using the percentile of the SPI method by conducting a frequency analysis that the current groundwater level increase or decrease compared to the past average groundwater level.},
year = {2022}
}
TY - JOUR T1 - Suggestion of Classification Method for Agricultural Drought Using Groundwater Level Change AU - Chan-Duck Jeong AU - Byung-Sun Lee AU - Gyu-Sang Lee AU - Jun-Kyum Kim AU - Sung-Ho Song Y1 - 2022/03/23 PY - 2022 N1 - https://doi.org/10.11648/j.wros.20221101.12 DO - 10.11648/j.wros.20221101.12 T2 - Journal of Water Resources and Ocean Science JF - Journal of Water Resources and Ocean Science JO - Journal of Water Resources and Ocean Science SP - 14 EP - 29 PB - Science Publishing Group SN - 2328-7993 UR - https://doi.org/10.11648/j.wros.20221101.12 AB - Since weather factors such as precipitation and temperature etc. show repeated patterns every year, it can be said that future changes can be predicted by analyzing past weather data. Therefore, when a drought occurs, the groundwater level is also lowered, so it can be seen that a change in the groundwater level can represent a drought. Like precipitation, groundwater level changes also have a high correlation with drought, so many researchers use SGI (standardized groundwater level index) to which the SPI (standardized precipitation index) method is applied to evaluate the severity of drought and predict trends. However, these approaches have the limitations to indicate the real groundwater system because the drought grades for the entire area are defined with the observation data of a single monitoring well without surrounding influences. When analyzing groundwater level fluctuations to understand the correlation with drought, it is necessary to calculate and apply the actual groundwater level that reflects groundwater use interference. Therefore, in this study, based on the long-term groundwater level data at 162 monitoring well installed before 2015 in Korea, the characteristics of groundwater level changes were analyzed and compared with the period of agricultural drought over the past five years. From the results, it can be confirmed that agricultural drought in regions is classified using the percentile of the SPI method by conducting a frequency analysis that the current groundwater level increase or decrease compared to the past average groundwater level. VL - 11 IS - 1 ER -
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