Lockyer Valley numerical groundwater flow simulation model

A numerical groundwater flow simulation model for the Lockyer Valley alluvial aquifer. The model was developed using the MODFLOW-NWT software package, in conjunction with parameter estimation software PEST and its utility software. The calibrated model simulates the aquifer responses to a set of groundwater stresses including groundwater extraction, irrigation recharge, and flood recharge.\nLineage: The Lockyer model is built on and is an extension of a pre-existing model developed by Kellogg Brown and Root Pty Ltd to assess the sustainability of the water resource system in the Lockyer Valley (KBR, 2002). The KBR model was revised and extended to address the identified shortcomings, and to make use of the additional aquifer monitoring undertaken since the previous modelling period which ended in 2000. In addition, the model was altered so that it was able to serve as a PRW predictive tool. Specifically, these alterations comprised:\n- use of a new DEM with a finer resolution (Harris, 2008) and existing strata logs to redefine the top and bottom elevations of the aquifer;\n- inclusion of post-2000 groundwater level monitoring data, water use monitoring data, and river loss gauging data in the calibration data set;\n- creation of a more detailed physical representation of model parameters in terms of hydraulic properties, river recharge and rainfall recharge;\n- inclusion of knowledge from recharge estimation studies conducted for this UWSRA project.\n- uncertainty and data worth analysis.\n- application of the model to compute optimal PRW import volumes.

洛克耶谷冲积含水层的地下水流数值模拟模型。该模型采用MODFLOW-NWT软件包开发，同时结合了参数估计软件PEST及其实用工具软件。经校准的模型可模拟含水层对一系列地下水应力的响应，包括地下水开采、灌溉补给和洪水补给。
谱系：洛克耶模型基于凯洛格·布朗·鲁特私人有限公司（Kellogg Brown and Root Pty Ltd）为评估洛克耶谷水资源系统可持续性而开发的既有模型构建，并对其进行了扩展（KBR，2002）。针对已识别的不足，并利用2000年结束的上一建模周期以来开展的额外含水层监测数据，对KBR模型进行了修订和扩展。此外，模型还进行了调整，使其能够作为PRW预测工具。具体而言，这些调整包括：
- 采用更高分辨率的新数字高程模型（DEM，Harris，2008）及现有地层记录，重新定义含水层的顶部和底部高程；
- 将2000年后的地下水位监测数据、用水监测数据及河道损失量测数据纳入校准数据集；
- 从水力特性、河道补给和降雨补给方面，构建更详细的模型参数物理表征；
- 纳入为本UWSRA项目开展的补给估算研究成果；
- 不确定性与数据价值分析；
- 应用模型计算最优PRW输入量。