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      Estimation of Groundwater Recharge in Sukhuma District of Laos

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      https://www.riss.kr/link?id=A106363233

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      This study is presented to estimate groundwater recharge in Sukhuma District of Southern Laos. The groundwater recharge is estimated by using the water table fluctuation method from observation groundwater levels at eleven domestic wells and five paired observation wells (shallow and deep). The results show that a value of specific yield for the shallow fractured sandstone aquifer in the Sukhuma District is quantified at approximately 0.03, Groundwater recharge for 2012-13 and 2015-16 is estimated at 5% (118 mm) and 4% (95 mm) of annual rainfall. respectively. The results of the current study provide useful basic information for future groundwater resource management planning in Sukhuma District. The methods applied in this study may be also useful for studying the groundwater recharge in regions with limited field data.
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      This study is presented to estimate groundwater recharge in Sukhuma District of Southern Laos. The groundwater recharge is estimated by using the water table fluctuation method from observation groundwater levels at eleven domestic wells and five pair...

      This study is presented to estimate groundwater recharge in Sukhuma District of Southern Laos. The groundwater recharge is estimated by using the water table fluctuation method from observation groundwater levels at eleven domestic wells and five paired observation wells (shallow and deep). The results show that a value of specific yield for the shallow fractured sandstone aquifer in the Sukhuma District is quantified at approximately 0.03, Groundwater recharge for 2012-13 and 2015-16 is estimated at 5% (118 mm) and 4% (95 mm) of annual rainfall. respectively. The results of the current study provide useful basic information for future groundwater resource management planning in Sukhuma District. The methods applied in this study may be also useful for studying the groundwater recharge in regions with limited field data.

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