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Preview	Issue Date	Title	Author(s)
	2018	A comprehensive framework to evaluate hydraulic and water quality impacts of pipe breaks on water distribution systems	Qi, Z.; Zheng, F.; Guo, D.; Zhang, T.; Shao, Y.; Yu, T.; Zhang, K.; Maier, H.
	2018	Multi-objective optimisation framework for calibration of Cellular Automata land-use models	Newland, C.; Maier, H.; Zecchin, A.; Newman, J.; van Delden, H.
	2018	Empirically derived method and software for semi-automatic calibration of Cellular Automata land-use models	Newland, C.; Zecchin, A.; Maier, H.; Newman, J.; van Delden, H.
	2018	Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems	Hunter, J.; Maier, H.; Gibbs, M.; Foale, E.; Grosvenor, N.; Harders, N.; Kikuchi-Miller, T.
	2018	An inverse approach to perturb historical rainfall data for scenario-neutral climate impact studies	Guo, D.; Westra, S.; Maier, H.
	2018	On lack of robustness in hydrological model development due to absence of guidelines for selecting calibration and evaluation data: demonstration for data-driven models	Zheng, F.; Maier, H.; Wu, W.; Dandy, G.; Gupta, H.; Zhang, T.
	2018	Enhancing the policy relevance of exploratory scenarios: generic approach and application to disaster risk reduction	Riddell, G.; van Delden, H.; Dandy, G.; Zecchin, A.; Maier, H.
	2018	Better understanding of the capacity of pressure sensor systems to detect pipe burst within water distribution networks	Qi, Z.; Zheng, F.; Guo, D.; Maier, H.; Zhang, T.; Yu, T.; Shao, Y.