Resource management decisions and data requirements to support the Smart models for aquifer management research programme

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Lovett, A.P.; Gyopari, M.; Moreau, M.F.; Moore, C.R.; White, P.A. 2018 Resource management decisions and data requirements to support the Smart models for aquifer management research programme. Lower Hutt, N.Z.: GNS Science. GNS Science report 2017/19. 39 p.; doi: 10.21420/G2G887

Abstract

To help meet objectives set under the New Zealand Government’s National Policy Statement for Freshwater Management appropriate modelling tools are required to assist land and water management decision-making. The principal objective of the smart models for aquifer management research project (SAM) is to develop a decision-specific ‘smart’ modelling framework that takes into consideration modelling objectives and scenarios, available data and resources. Importantly, ‘smart’ models also consider the computational burden of large groundwater flow and transport models, including complexity and large scale, without compromising the reliability of decisions based on these models. Outputs from the research programme include development of methodologies to determine: (i) the modelling strategy which is most useful in a decision-making context; (ii) the data which is most useful in a decision-making context; and (iii) the gains and/or diminishing returns achieved with more data or more complex models. Three real-world case study catchments were selected: Hauraki (Waikato); Ruamahanga (Wellington), and Mid-Mataura/Waimea (Southland). This report collates and summarises community and stakeholder freshwater management objectives relevant to the three case study catchments derived from various engagement processes. Additional information has been obtained by interviews and consultations undertaken by the SAM project team. The information in this report provides the basis for selected resource management decision-support questions and scenarios to be tested in the SAM programme. (auth)