Next Article in Journal
A Participatory Approach for Adapting River Basins to Climate Change
Previous Article in Journal
Recent Advances in Modelling and Implementation of Rainwater Harvesting Systems towards Sustainable Development
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Water 2017, 9(12), 960; https://doi.org/10.3390/w9120960

A Natural Analogue Approach for Discriminating Leaks of CO2 Stored Underground Using Groundwater Geochemistry Statistical Methods, South Korea

1
Water & Transportation Center, Environmental Technology Division, Korea Testing Laboratory, Seoul 08389, Korea
2
Department of Geological Sciences, Pusan National University, Busan 46241, Korea
3
Research & Development Institute, Korea Radioactive Waste Agency, Daejeon 34129, Korea
4
Department of Geology and Research Institute of Natural Sciences(RINS), Gyeongsang National University, Jinju 52828, Korea
5
Department of Earth and Environmental Sciences, Korea University, Seoul 02841, Korea
*
Author to whom correspondence should be addressed.
Received: 8 October 2017 / Revised: 2 December 2017 / Accepted: 2 December 2017 / Published: 8 December 2017
Full-Text   |   PDF [3965 KB, uploaded 9 December 2017]   |  

Abstract

Carbon capture and storage (CCS) is one of several useful strategies for capturing greenhouse gases to counter global climate change. In CCS, greenhouse gases such as CO2 that are emitted from stacks are isolated in underground geological storage. Natural analogue studies that can provide insights into possible geological CO2 storage sites, can deliver crucial information about the safety and security of geological sequestration, the long-term impact of CO2 storage on the environment, and the field operation and monitoring requirements for geological sequestration. This study adopted a probability density function (PDF) approach for CO2 leakage monitoring by characterizing naturally occurring CO2-rich groundwater as an analogue that can occur around a CO2 storage site due to CO2 dissolving into fresh groundwater. Two quantitative indices, (QItail and QIshift), were estimated from the PDF test and were used to compare CO2-rich and ordinary groundwaters. Key geochemical parameters (pH, electrical conductance, total dissolved solids, HCO3, Ca2+, Mg2+, and SiO2) in different geological regions of South Korea were determined through a comparison of quantitative indices and the respective distribution patterns of the CO2-rich and ordinary groundwaters. View Full-Text
Keywords: CO2-rich groundwater; quantitative index for distribution pattern (QItail); quantitative index for distribution shift (QIshift); natural analogue; probability density function (PDF) CO2-rich groundwater; quantitative index for distribution pattern (QItail); quantitative index for distribution shift (QIshift); natural analogue; probability density function (PDF)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Kim, K.-K.; Hamm, S.-Y.; Cheong, J.-Y.; Kim, S.-O.; Yun, S.-T. A Natural Analogue Approach for Discriminating Leaks of CO2 Stored Underground Using Groundwater Geochemistry Statistical Methods, South Korea. Water 2017, 9, 960.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top