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Detection and Quantification of Dam Leakages Based on Tracer Tests: A Field Case Study
 
 
Correction to Water 2022, 14(9), 1448.
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Correction

Correction: Qiu et al. Detection and Quantification of Dam Leakages Based on Tracer Tests: A Field Case Study. Water 2022, 14, 1448

1
School of Earth Science and Engineering, Hohai University, No. 1, Xikang Road, Nanjing 210098, China
2
Biosystems and Environmental Engineering Research Group, Department of Agricultural and Biosystems Engineering, University of Zimbabwe, Mount Pleasant, Harare P.O. Box MP167, Zimbabwe
*
Author to whom correspondence should be addressed.
Water 2022, 14(12), 1871; https://doi.org/10.3390/w14121871
Submission received: 27 May 2022 / Accepted: 27 May 2022 / Published: 10 June 2022
In the original publication [1], there were two mistakes:
(1) The original Table 1 misses a row concerning the title of variables. The corrected Table 1. Classification result of boreholes by seepage severity appears below.
(2) There was a citation format error. A correction has been made to the 2nd paragraph of the Conclusion section:
Using well-logging of natural tracers, boreholes are categorized into four classes based on hydraulic behavior. Classes 1 and 2 had strong connectivity and a severe leakage problem compared to Classes 3 and 4, which had limited to negligible seepage. The application of the SBDT to five boreholes revealed the following: (1) P3-5 is confirmed to have weak evidence of leakage; (2) The vertical velocity of P3-8 and P9-7 is more than 1.66 cm/s and 0.95 cm/s, respectively; (3) In boreholes P9-9 and P9-12, the mean velocities of the tests are 0.26 and 0.51 cm/s, respectively; and (4) For P9-12, an extra leakage path is located at a depth of 450 cm, which is easy to miss in the curves of the natural tracers. Taken together, these findings provide further insights into the seepage problem, which are not evident when using the conventional tracer method, as described in Huang et al. [21].
The authors apologize for any inconvenience caused, and state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Qiu, H.; Hu, R.; Huang, Y.; Gwenzi, W. Detection and Quantification of Dam Leakages Based on Tracer Tests: A Field Case Study. Water 2022, 14, 1448. [Google Scholar] [CrossRef]
Table 1. Classification result of boreholes by seepage severity.
Table 1. Classification result of boreholes by seepage severity.
Hydraulic Behavior ClassBorehole Numbers
Class 1: High Connectivity on Whole BoreholeP3-6, P4-5, P9-7
Class 2: high connectivity on specific depthsP3-8, P3-12, P3-13, P4-1, P4-2, P9-6, P9-9, P9-10, P9-11, P9-12, P9-13
Class 3: weaken connectivityP4-3, P4-4, P4-6, P4-7, P4-8, P4-9, P4-10, P4-11, P4-12, P8-2
Class 4: safe boreholes with no obvious connectivityP3-1, P3-2, P3-3, P3-4, P3-5, P3-9, P3-10, P3-11, P8-1, P8-3, P8-4, P8-5, P8-6, P9-1, P9-2, P9-3, P9-4, P9-5, P9-8, P10-1, P10-2, P10-3, P10-4
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MDPI and ACS Style

Qiu, H.; Hu, R.; Huang, Y.; Gwenzi, W. Correction: Qiu et al. Detection and Quantification of Dam Leakages Based on Tracer Tests: A Field Case Study. Water 2022, 14, 1448. Water 2022, 14, 1871. https://doi.org/10.3390/w14121871

AMA Style

Qiu H, Hu R, Huang Y, Gwenzi W. Correction: Qiu et al. Detection and Quantification of Dam Leakages Based on Tracer Tests: A Field Case Study. Water 2022, 14, 1448. Water. 2022; 14(12):1871. https://doi.org/10.3390/w14121871

Chicago/Turabian Style

Qiu, Huiyang, Rui Hu, Yong Huang, and Willis Gwenzi. 2022. "Correction: Qiu et al. Detection and Quantification of Dam Leakages Based on Tracer Tests: A Field Case Study. Water 2022, 14, 1448" Water 14, no. 12: 1871. https://doi.org/10.3390/w14121871

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