22-27 September 2019
Trade Fairs and Congress Center (FYCMA)
Europe/Madrid timezone

Assessment of groundwater contamination vulnerability in a predominant fractured rock-aquifer area

23 Sep 2019, 16:00
1h
Trade Fairs and Congress Center (FYCMA)

Trade Fairs and Congress Center (FYCMA)

Av. de José Ortega y Gasset, 201 29006 Malaga, Spain
Poster Topic 1 - Groundwater assessment and management Poster with refreshments

Speaker

Sang Yong Chung (Pukyong National University)

Description

This study was carried out in the Miryang City, Korea where had the characteristics of urban and rural functions. The study area is surrounded by high mountains except the southern part which forms the flat area around the large Nakdong River. The city area is about 800km2 and about 5,200 wells are developed there. 325 wells were investigated for the sustainable development and effective management. 230 wells located in the fractured rock, and 95 wells were in the unconsolidated deposits such as alluvium, colluvium and highly to completely weathered rock. Advanced DRASTIC Model (ADM) adding 2 more factors of land use and lineament density to Original DRASTIC Model (ODM) of 7 factors were applied for the assessment of groundwater contamination vulnerability in the study area. In case of all monitoring wells, ADM produced a more accurate contamination vulnerability map and a larger correlation coefficient between contamination vulnerability index and NO3-N concentration comparing to ODM. The correlation coefficients of ADM and ODM were 0.35 and 0.24, respectively. In two cases of all monitoring wells and unconsolidated aquifer wells, ADM of unconsolidated aquifer wells produced a more reasonable contamination vulnerability map and a larger correlation coefficient between contamination vulnerability index and NO3-N concentration,comparing to ADM of all monitoring wells. The correlation coefficients of all monitoring wells and unconsolidated aquifer wells were 0.35 and 0.74, respectively. Thus, the assessment of groundwater contamination vulnerability was more effective for the unconsolidated aquifer than the whole aquifer of unconsolidated material and rock because DRASTIC evaluation basically assumed that groundwater contamination was conducted through the surface ground. Artificial Neural Networks (ANN) technique was also applied for the vulnerability assessment of unconsolidated aquifer. ANN model (ANNM) rendered a more accurate contamination vulnerability map and a larger correlation coefficient between contamination vulnerability index and NO3-N concentration, when compared to the application of simple ODM. The correlation coefficients of ANNM and ODM were 0.81 and 0.74, respectively. It was concluded that the assessment of groundwater contamination vulnerability in a predominant fractured rock-aquifer could draw the better result in conducting the evaluation only of the unconsolidated aquifer except the fractured rock aquifer, and that ANNM was very effective for the evaluation of groundwater contamination vulnerability.

Primary author

Sang Yong Chung (Pukyong National University)

Co-authors

Mr Hussam Elzain (Pukyong National University) Dr Venkatramanan Senapathi (Pukyong National University) Dr Yun-Yeong Oh (Korea University)

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