• Title/Summary/Keyword: Jeju groundwater

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Impact of Climate Change on the Groundwater Recharge and Groundwater Level Variations in Pyoseon Watershed of Jeju Island, Korea (기후 변화에 따른 제주도 표선 유역의 함양률 및 수위변화 예측)

  • Shin, Esther;Koh, Eun-Hee;Ha, Kyoochul;Lee, Eunhee;Lee, Kang-Kun
    • Journal of Soil and Groundwater Environment
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    • v.21 no.6
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    • pp.22-35
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    • 2016
  • Global climate change could have an impact on hydrological process of a watershed and result in problems with future water supply by influencing the recharge process into the aquifer. This study aims to assess the change of groundwater recharge rate by climate change and to predict the sustainability of groundwater resource in Pyoseon watershed, Jeju Island. For the prediction, the groundwater recharge rate of the study area was estimated based on two future climate scenarios (RCP 4.5, RCP 8.5) by using the Soil Water Balance (SWB) computer code. The calculated groundwater recharge rate was used for groundwater flow simulation and the change of groundwater level according to the climate change was predicted using a numerical simulation program (FEFLOW 6.1). The average recharge rate from 2020 to 2100 was predicted to decrease by 10~12% compared to the current situation (1990~2015) while the evapotranspiration and the direct runoff rate would increase at both climate scenarios. The decrease in groundwater recharge rate due to the climate change results in the decline of groundwater level. In some monitoring wells, the predicted mean groundwater level at the year of the lowest water level was estimated to be lower by 60~70 m than the current situation. The model also predicted that temporal fluctuation of groundwater recharge, runoff and evapotranspiration would become more severe as a result of climate change, making the sustainable management of water resource more challenging in the future. Our study results demonstrate that the future availability of water resources highly depends on climate change. Thus, intensive studies on climate changes and water resources should be performed based on the sufficient data, advanced climate change scenarios, and improved modeling methodology.

Spatial-temporal Variations of Nitrate Levels in Groundwater of Jeju Island, Korea: Evaluation of Long-term (1993-2015) Monitoring Data (제주도 지하수질산염 농도의 시·공간적변화 특성: 장기(1993-2015) 모니터링 자료의 평가)

  • Kim, Ho-Rim;Oh, Junseop;Do, Hyun-Kwon;Lee, Kyung-Jin;Hyun, Ik-Hyun;Oh, Sang-Sil;Kam, Sang-Kyu;Yun, Seong-Taek
    • Economic and Environmental Geology
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    • v.51 no.1
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    • pp.15-26
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    • 2018
  • The spatio-temporal variations of nitrate concentrations in groundwater of Jeju Island were evaluated by an analysis of time series groundwater quality data (N = 21,568) that were collected from regional groundwater monitoring (number of wells = 4,835) for up to 20 years between 1993 and 2015. The median concentration of $NO_3-N$ is 2.5 mg/L, which is slightly higher than those reported from regional surveys in other countries. Nitrate concentrations of groundwater in wells tend to significantly vary according to different water usage (of the well), administrative districts, and topographic elevations: nitrate level is higher in low-lying agricultural and residential areas than those in high mountainous areas. The Mann-Kendall trend test and Sen's slope analysis show that nitrate concentration in mid-mountainous areas tends to increase, possibly due to the expansion of agricultural areas toward highland. On the other hand, nitrate concentrations in the Specially Designated Groundwater Quality Protection Zones show the temporally decreasing trend, which implies the efficiency of groundwater management actions in Jeju. Proper measures for sustainable groundwater quality management are suggested in this study.

Sea Level Rise Around Jeju Island due to Global Warming and Movement of Groundwater/seawater Interface in the Eastern Part of Jeju Island (지구온난화에 따른 제주도 근해의 해수면 상승과 제주도 동부 지역 지하수의 염수대 변화)

  • Kim, Kyung-Ho;Shin, Ji-Youn;Koh, Eun-Heui;Koh, Gi-Won;Lee, Kang-Kun
    • Journal of Soil and Groundwater Environment
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    • v.14 no.3
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    • pp.68-79
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    • 2009
  • Groundwater is the main water resource in Jeju Island because storage of surface water in reservoir is difficult in the island due to the permeable volcanic rocks. Because of this reason, the groundwater is expected to be very vulnerable to seawater intrusion by global warming, which will cause sea level rise. The long term change of mean sea level around the Korean Peninsula including Jeju Island was analyzed for this study. The sea level rise over the past 40 years was estimated to be of $2.16\;{\pm}\;1.71\;mm/yr$ around the Korean Peninsula. However, the rising trend around the eastern part of Jeju Island was more remarkable. In addition, the groundwater/seawater intrusion monitoring network operated by the Jeju Special Self-Governing Province shows that seawater intrusion becomes more prominent during dry 4-5 months in a year when the sea level increases. This implies that the fresh groundwater lens in the eastern part of Jeju Island is influenced by the sea level rise due to global warming in the long term scale.

Classification and Characteristic Comparison of Groundwater Level Variation in Jeju Island Using Principal Component Analysis and Cluster Analysis (주성분분석 및 군집분석을 이용한 제주도 지하수위 변동 유형 분류 및 특성 비교)

  • Lim, Woo-Ri;Hamm, Se-Yeong;Lee, Chung-Mo
    • Journal of Soil and Groundwater Environment
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    • v.27 no.6
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    • pp.22-36
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    • 2022
  • Water resources in Jeju Island are dependent virtually entirely on groundwater. For groundwater resources, drought damage can cause environmental and economic losses because it progresses slowly and occurs for a long time in a large area. Therefore, this study quantitatively evaluated groundwater level fluctuations using principal component and cluster analyses for 42 monitoring wells in Jeju Island, and further identified the types of groundwater fluctuations caused by drought. As a result of principal component analysis for the monthly average groundwater level during 2005-2019 and the daily average groundwater level during the dry season, it was found that the first three principal components account for most of the variance 74.5-93.5% of the total data. In the cluster analysis using these three principal components, most of wells belong to Cluster 1, and seasonal characteristics have a significant impact on groundwater fluctuations. However, wells belonging to Cluster 2 with high factor loadings of components 2 and 3 affected by groundwater pumping, tide levels, and nearby surface water are mainly distributed on the west coast. Based on these results, it is expected that groundwater in the western area will be more vulnerable to saltwater intrusion and groundwater depletion caused by drought.

제주도 동부해안 한동리지역의 수문지질학적 연구

  • 김기표;윤정수;박원배
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2002.09a
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    • pp.9-12
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    • 2002
  • The purpose of this study is to understand the high saline water phenomenon of Handong-ri area in the eastern coast of Jeju Island, were investigate the tidal effect of groundwater level, variation of electric conductivity and temperature, geological logging on the monitoring wells, chemical water quality, and ratios of oxygen istope of groundwater and seawater Results in investigating variation of interface zone of freshwater and saline water represented that the hyaloclastites formed at below groundwater table is developing toward the coast; this area consisted of stratum of good permeability. Hyaloclastites is presumed the main path of the high salinity water There are a lot of movement by the tide at upper layer. Salinity of lower layer spreads to upper up step in proportion to tidal energy. Because of hydrogeological characteristics, Interface zone of freshwater and saline water is made, High salinity of groundwater occur in east coastal area of Jeju Island. Therefore, I think that high saline groundwater phenomenon is natural condition by simple mixing.

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A Study on the Hydraulic Factors of Groundwater Level Fluctuation by Region in Jeju Island (제주도 지역별 지하수위 변동 요인에 대한 고찰)

  • Jeong, Jiho;Park, Jaesung;Koh, Eun-hee;Park, Won-bae;Jeong, Jina
    • The Journal of Engineering Geology
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    • v.32 no.2
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    • pp.257-270
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    • 2022
  • This study evaluated the hydraulic factors contributing to the decreasing groundwater levels across Jeju island. Time-series data for groundwater level, precipitation, and groundwater usage and information on land use were acquired, and the correlations among them were analyzed to evaluate the causes of the decreasing groundwater. The effects of precipitation and groundwater usage on the fluctuations of groundwater level were quantified using response surface analysis and sensitivity analysis, and methods for groundwater quantity management by region were proposed. The results showed that the rate of groundwater decrease in the western region was larger than that in the eastern region. For the eastern region, the influence of precipitation was large and the rate of decrease in the groundwater level was relatively small. The geological formation of this part of the island and continuous seawater intrusion suggest that although the absolute amount of groundwater extracted for use was large, the decrease in the groundwater level was not seen to be great due to an increase in pressure by seawater intrusion. Overall, precipitation and groundwater usage had the greatest effect on the amount of groundwater in the western region, and thus their data would be most useful for informing groundwater management, whereas other factors (e.g., sea level and the location of the freshwater-seawater transition zone) must be considered when understanding Jeju's eastern region. As the characteristics of groundwater level fluctuations in the eastern and western regions are distinct, an optimal management plan for each region should be proposed to ensure the efficient management of groundwater quantity.

Impact of Baekrokdam precipitation observation data on improving groundwater level prediction in mid-mountainous region of Jeju Island (백록담 강수량 관측자료가 제주도 중산간지역 지하수위 예측 향상에 미치는 영향)

  • Shin, Mun-Ju;Kim, Jeong-Hun;Kang, Su-Yeon;Moon, Soo-Hyoung;Hyun, Eun Hee
    • Journal of Korea Water Resources Association
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    • v.57 no.10
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    • pp.673-686
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    • 2024
  • Groundwater is an important water resource used for various purposes along with surface water. Jeju Island relies on groundwater for most of its water use, so predicting and managing groundwater volume is very important for sustainable use of groundwater. In this study, precipitation data from the Baekrokdam Climate Change Observatory was additionally used to accurately predict groundwater levels. We compared and analyzed the improvement in monthly groundwater level prediction performance of the ANN and LSTM models for two observation wells located in the mid-mountainous area of the Pyoseon watershed in Jeju Island. As a result, when Baekrokdam precipitation data was not used, the NSE values of the two artificial intelligence models were over 0.871, showing very high groundwater level prediction performance. The LSTM model showed relatively higher prediction performance at high and low groundwater levels than the ANN model. We found that the prediction performance decreases as the variation characteristics of the groundwater level become more complex. When Baekrokdam precipitation data was additionally used, the NSE values of the two artificial intelligence models were above 0.907, indicating improved prediction performance, and the NSE value was improved by up to 0.036. This means that when additional rainfall in the upstream area is used, the artificial intelligence model can more appropriately interpret the fluctuating characteristics of the groundwater level. In addition, the additional use of Baekrokdam precipitation data further helped improve groundwater level prediction for observation well, where groundwater level prediction is relatively difficult, and artificial intelligence models, which have relatively low groundwater level prediction performance. In particular, when Baekrokdam precipitation data was additionally used for a specific observation well, the groundwater level prediction performance of the ANN model was improved to a level comparable to that of the LSTM model. The methods and results of this study can be useful in future research using artificial intelligence models.

Estimation of Baseflow Discharge through Several Streams in Jeju Island, Korea (제주도 주요하천의 기저유출량 산정)

  • Moon Duk-Chul;Yang Sung-Kee;Koh Gi-Won;Park Won-Bae
    • Journal of Environmental Science International
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    • v.14 no.4
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    • pp.405-412
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    • 2005
  • Groundwater in Jeju Island, flowing through main stream, is spring water from underground. To set a fixed quantity of groundwater flowing from surface in a hydrological view, 4 downstream (Woedo stream, Gangjung stream, Yeonwoe stream and Ongpo stream) were selected to calculate the characteristic of baseflow and the base-flow discharge through the data on tachometry. There were 11 to 14 level peak caused by runoff, mostly occurred during monsoon season. Also, duration of runoff was 15 to 25 hours, well reflecting the characteristic of inclined, short stream length in Jeju Island and pervious hydrogeographical feature. In case of Gangjung stream, Yeonwoe stream and Ongpo stream, variation of stream water level by baseflow rose above during summer, which was closely linked to the distribution of seasonal precipitation. From autumn to spring, water level fell below while that of Woedo stream remained the same all year round. Data on the water level observed in Woedo stream and Gangjung stream in every single minutes was applied to weir formula(equation of Oki and Govinda Rao) to calculate baseflow discharge. Also, using the data on current and water level calculated in Ongpo stream and Yeonwoe stream, water level-water flow rating was applied to assess base flow discharge.

An Integrated Water Budget Analysis of Oedocheon Watershed in Jeju Island (제주 외도천 유역의 통합 물수지 분석)

  • Kim, Nam Won;Chung, Il-Moon;Na, Hanna
    • Journal of Environmental Science International
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    • v.24 no.4
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    • pp.471-480
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    • 2015
  • Hydrologic component analysis was conducted to investigate water budget characteristics the Oedocheon watershed, Jeju Island. For this purpose, integrated SWAT-MODFLOW model was applied to this watershed for continuous surface water-groundwater modeling. Pasture and forest-deciduous are the major land use types and these affect general hydrologic component ratio. The spatio-temporal groundwater recharge can be obtained from SWAT and then distributed groundwater recharge can be reproduced by MODFLOW. The groundwater level variation was simulated with distributed groundwater pumping data. The water budget in this watershed was compared with the previous estimated result by Jeju-Do(2013). As this result considered discharge to the coastal side, the discrepancy was found. However, it was found that the overall tendency of both analyses were similar.

Development of Agricultural Groundwater Usage Model Considering Multipurpose Water in Jeju Island (다목적 용수를 고려한 제주도 농업용 지하수 이용량 모델 개발)

  • An, Jung-Gi;Song, Sung-Ho;Lee, Dong-Rim
    • Journal of Environmental Science International
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    • v.24 no.4
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    • pp.515-524
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    • 2015
  • The estimation of groundwater usage in Jeju island is important to understand hydrologic cycle system and to plan management of water resource because large amounts of groundwater have been used for agricultural and domestic purpose. The model has been developed to estimate agricultural groundwater usage for garlic at uplands and citrus at orchards raising outdoors using the soil water balance model from FAO 56, respectively. The total amount of water supplied for the crop evapotranspiration and the multipurpose function such as sprout promotion can be simulated by the model. However, due to the discrepancy of water use in initial stage between calculated and observed, the model was calibrated and verified using actual groundwater usage monitoring data for 3.5 years (2011.6 to 2014.12) at three uplands for garlic and three orchards for citrus. Consequently, it would be concluded that the model simulated efficiently actual water usage in that root mean square (RMS) and normalized RMS of the validation stage were less than 8.99 mm and 2.43%, respectively, in two different conditions.