Published October 2018 | Version v1
Journal article

Assessment of regional threats to human water security adopting the global framework: A case study in South Korea

  • 1. Department of Civil and Environmental Engineering, Yonsei University, Seoul (Korea, Republic of)
  • 2. Department of Geography, University of Georgia, Athens, GA (United States)
  • 3. Korea Environment Institute, Sejong (Korea, Republic of)
  • 4. Department of Civil Engineering, City College of New York, New York, NY (United States)

Description

Highlights: • Strong correlations were found between global and regional indicators except for investment benefits. • Three key indicators represent the majority of the spatial variation in incident threat. • R25° is the most appropriate spatial resolution for regional analysis. Water resources have been threatened by climate change, increasing population, land cover changes in watersheds, urban expansion, and intensive use of freshwater resources. Thus, it is critical to understand the sustainability and security of water resources. This study aims to understand how we can adequately and efficiently quantify water use sustainability at both regional and global scales with an indicator-based approach. A case study of South Korea was examined with the framework widely used to quantify global human water threats. We estimated the human water threat with both global and local datasets, showing that the water security index using global data was adequately correlated with the index for regional data. However, particularly poor associations were found in the investment benefit factors. Furthermore, we examined several different aspects of the index with the local datasets as they have relatively high spatial and temporal resolution. For example, we used cropland percentage, population and moderate water use as surrogate indicators instead of employing the approximately 20 original indicators, and we presented a regression model that was able to capture the spatial variations from the original threat index to some extent. This finding implies that it would be possible to predict water security or sustainability using existing indicator datasets for future periods, although it would require regionally developed relationships between water security and such indicators.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2018.04.420

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2018.04.420;
PII
S004896971831619X;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
637
Journal Page Range
p. 1413-1422
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54056190
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
APPROXIMATIONS; CLIMATIC CHANGE; DATASETS; FRESH WATER; HUMANS; REGIONAL ANALYSIS; SECURITY; SPATIAL RESOLUTION; SUSTAINABILITY; WATER RESOURCES; WATER USE; WATERSHEDS
Descriptors DEC
ANIMALS; CALCULATION METHODS; DOCUMENT TYPES; HYDROGEN COMPOUNDS; MAMMALS; OXYGEN COMPOUNDS; PRIMATES; RESOLUTION; RESOURCES; VERTEBRATES; WATER

Optional Information

Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.