TY - JOUR
T1 - Managing too little and too much water
T2 - Robust mine-water management strategies under variable climate and mine conditions
AU - Gao, Lei
AU - Bryan, Brett A.
AU - Liu, Jian
AU - Li, Wanggen
AU - Chen, Yun
AU - Liu, Rui
AU - Barrett, Damian
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/9/20
Y1 - 2017/9/20
N2 - Mine-water managers need tools to guide robust management strategies that can address the challenges of climate-influenced water scarcity and unregulated discharge. We aimed to identify those factors driving the risks of insufficient water supply for mine production and unpermitted discharge of mine-affected water in a way that is robust to heterogeneity between extreme climatic variability and mine sites. Using 16 coal mines in the Bowen Basin of Queensland, Australia, as a case study, we combined a model of complex mine-water management systems (C-HSM) with global sensitivity analysis (eFAST) to identify influential mine-water management factors. Comprehensive model diagnostics for the 16 mine-water systems under three climate conditions revealed that the uncertainty of key mine-water management indicators, and the contributions of model input parameters differed substantially between climate conditions and mine sites. We then applied four criteria from decision theory into the total sensitivity effects produced by the eFAST method, and developed sensitivity indicators that were robust to heterogeneity between climates and mine sites. These sensitivity indicators provide mine-water managers with options to guide the development of effective management strategies and the collection of additional information based on their own risk preference. While our results indicate some general management strategies that will be robust under multiple conditions, we caution that mine-water managers' experience in dealing with challenges caused by too little and too much water cannot be blindly transplanted from one mine to another, or from one climate condition to another.
AB - Mine-water managers need tools to guide robust management strategies that can address the challenges of climate-influenced water scarcity and unregulated discharge. We aimed to identify those factors driving the risks of insufficient water supply for mine production and unpermitted discharge of mine-affected water in a way that is robust to heterogeneity between extreme climatic variability and mine sites. Using 16 coal mines in the Bowen Basin of Queensland, Australia, as a case study, we combined a model of complex mine-water management systems (C-HSM) with global sensitivity analysis (eFAST) to identify influential mine-water management factors. Comprehensive model diagnostics for the 16 mine-water systems under three climate conditions revealed that the uncertainty of key mine-water management indicators, and the contributions of model input parameters differed substantially between climate conditions and mine sites. We then applied four criteria from decision theory into the total sensitivity effects produced by the eFAST method, and developed sensitivity indicators that were robust to heterogeneity between climates and mine sites. These sensitivity indicators provide mine-water managers with options to guide the development of effective management strategies and the collection of additional information based on their own risk preference. While our results indicate some general management strategies that will be robust under multiple conditions, we caution that mine-water managers' experience in dealing with challenges caused by too little and too much water cannot be blindly transplanted from one mine to another, or from one climate condition to another.
KW - Adaptive water management
KW - Mining
KW - Robust sensitivity analysis
KW - Systems modelling
KW - Unregulated discharge
KW - Water scarcity
UR - http://www.scopus.com/inward/record.url?scp=85024128360&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2017.06.101
DO - 10.1016/j.jclepro.2017.06.101
M3 - Article
AN - SCOPUS:85024128360
SN - 0959-6526
VL - 162
SP - 1009
EP - 1020
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -