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Climate change can directly or indirectly influence groundwater resources. The mechanisms of this influence are complex and not easily quantified. Understanding the effect of climate change on groundwater systems can help governments adopt suitable strategies for water resources. The baseflow concept can be used to relate climate conditions to groundwater systems for assessing the climate change impact on groundwater resources. This study applies the stable baseflow concept to the estimation of the groundwater recharge in ten groundwater regions in Taiwan, under historical and climate scenario conditions. The recharge rates at the main river gauge stations in the groundwater regions were assessed using historical data. Regression equations between rainfall and groundwater recharge quantities were developed for the ten groundwater regions. The assessment results can be used for recharge evaluation in Taiwan. The climate change estimation results show that climate change would increase groundwater recharge by 32.6% or decrease it by 28.9% on average under the climate scenarios, with respect to the baseline quantity in Taiwan. The impact of climate change on groundwater systems may be positive. This study proposes a method for assessing the impact of climate change on groundwater systems. The assessment results provide important information for strategy development in groundwater resources management.
Shih-Jung Wang; Cheng-Haw Lee; Chen-Feng Yeh; Yong Choo; Hung-Wei Tseng. Evaluation of Climate Change Impact on Groundwater Recharge in Groundwater Regions in Taiwan. Water 2021, 13, 1153 .
AMA StyleShih-Jung Wang, Cheng-Haw Lee, Chen-Feng Yeh, Yong Choo, Hung-Wei Tseng. Evaluation of Climate Change Impact on Groundwater Recharge in Groundwater Regions in Taiwan. Water. 2021; 13 (9):1153.
Chicago/Turabian StyleShih-Jung Wang; Cheng-Haw Lee; Chen-Feng Yeh; Yong Choo; Hung-Wei Tseng. 2021. "Evaluation of Climate Change Impact on Groundwater Recharge in Groundwater Regions in Taiwan." Water 13, no. 9: 1153.
In recent years, global climate change has altered precipitation patterns, causing uneven spatial and temporal distribution of precipitation that gradually induces precipitation polarization phenomena. Taiwan is located in the subtropical climate zone, with distinct wet and dry seasons, which makes the polarization phenomenon more obvious; this has also led to a large difference between river flows during the wet and dry seasons, which is significantly influenced by precipitation, resulting in hydrological drought. Therefore, to effectively address the growing issue of water shortages, it is necessary to explore and assess the drought characteristics of river systems. In this study, the drought characteristics of northern Taiwan were studied using the streamflow drought index (SDI) and Markov chains. Analysis results showed that the year 2002 was a turning point for drought severity in both the Lanyang River and Yilan River basins; the severity of rain events in the Lanyang River basin increased after 2002, and the severity of drought events in the Yilan River basin exhibited a gradual upward trend. In the study of drought severity, analysis results from periods of three months (November to January) and six months (November to April) have shown significant drought characteristics. In addition, analysis of drought occurrence probabilities using the method of Markov chains has shown that the occurrence probabilities of drought events are higher in the Lanyang River basin than in the Yilan River basin; particularly for extreme events, the occurrence probability of an extreme drought event is 20.6% during the dry season (November to April) in the Lanyang River basin, and 3.4% in the Yilan River basin. This study shows that for analysis of drought/wet occurrence probabilities, the results obtained for the drought frequency and occurrence probability using short-term data with the method of Markov chains can be used to predict the long-term occurrence probability of drought/wet events.
Chen-Feng Yeh; Jinge Wang; Hsin-Fu Yeh; Cheng-Haw Lee. SDI and Markov Chains for Regional Drought Characteristics. Sustainability 2015, 7, 10789 -10808.
AMA StyleChen-Feng Yeh, Jinge Wang, Hsin-Fu Yeh, Cheng-Haw Lee. SDI and Markov Chains for Regional Drought Characteristics. Sustainability. 2015; 7 (8):10789-10808.
Chicago/Turabian StyleChen-Feng Yeh; Jinge Wang; Hsin-Fu Yeh; Cheng-Haw Lee. 2015. "SDI and Markov Chains for Regional Drought Characteristics." Sustainability 7, no. 8: 10789-10808.
Streamflow is an important factor in the study of water resource management, floods, and droughts. Dramatic climate change has created extreme rainfall distributions, making the study of streamflow trends and variability even more crucial. In this study, the long-term streamflow data and trends recorded at gauging stations in Northern Taiwan are analyzed using the Mann-Kendall test. The data used for trend analysis are the average annual streamflow, the average seasonal streamflow, and the high and low flows. The slope trend is calculated using the Theil-Sen estimator. Finally, change point analysis is conducted using the Mann-Whitney-Pettit test and the cumulative deviation test to gain further information about the change points and to understand the changes in streamflow before and after the change points. The average annual streamflow of the 12 gauging stations in the study area is analyzed using the Mann-Kendall test. The results show that of the 12 gauging stations, only the Ximen Bridge Station in the Lanyang River basin show a significant downward streamflow trend. Results of the monthly and seasonal average streamflow analysis show that in the spring, 72.2% of the gauging stations showed upward streamflow trends, most of which were located in the Tamsui River and the Touqian River basins. The high and low flow data analysis shows that the Ximen Bridge Station was the only gauging station to feature a significant downward streamflow trend for both high and low flows. This distribution pattern provides valuable information for regional hydrological studies and water management.
Chen-Feng Yeh; Jinge Wang; Hsin-Fu Yeh; Cheng-Haw Lee. Spatial and Temporal Streamflow Trends in Northern Taiwan. Water 2015, 7, 634 -651.
AMA StyleChen-Feng Yeh, Jinge Wang, Hsin-Fu Yeh, Cheng-Haw Lee. Spatial and Temporal Streamflow Trends in Northern Taiwan. Water. 2015; 7 (12):634-651.
Chicago/Turabian StyleChen-Feng Yeh; Jinge Wang; Hsin-Fu Yeh; Cheng-Haw Lee. 2015. "Spatial and Temporal Streamflow Trends in Northern Taiwan." Water 7, no. 12: 634-651.