Incorporating land-use changes and surface–groundwater interactions in a simple catchment water yield model

• Published in: Environmental modelling & software : with environment data news 2012-12, Vol.38, p.62-73
• Main Authors: Gilfedder, M., Rassam, D.W., Stenson, M.P., Jolly, I.D., Walker, G.R., Littleboy, M.
• Format: Article
• Language: English
• Subjects: accounting; case studies; Catchment decision-making; Catchment hydrology; computer software; groundwater; GWlag; hydrologic models; land use change; landscapes; Murray–Darling Basin; PERFECT; plantation forestry; prediction; Rainfall-runoff model; Resource indicators; River low flow; rivers; River–aquifer interaction; stream flow; Surface–groundwater interactions; watershed hydrology; watersheds
• ISSN: 1364-8152; 1873-6726
• DOI: 10.1016/j.envsoft.2012.05.005

Pressure on limited water resources and the environment requires better understanding of how landscape change impacts river flow. Rainfall-runoff models have traditionally focused on estimating total river flows with less emphasis on modelling the groundwater component or the consequences of different land-use change scenarios. In this paper, we present the GWlag model, a water-generation model that predicts river flows with explicit accounting of the impacts of catchment land-use change and surface–groundwater interactions. The paper firstly describes the theory that underpins the model and its calibration then presents a case study application in the Tarcutta Creek catchment of the Murray–Darling Basin, Australia. The case study aims at: (i) demonstrating the ability of the model to predict daily river flows; (ii) modelling the impacts of hypothetical plantation forestry expansions on river flows; and (iii) showing the impacts of reduced recharge on the low-flow regime using three indices, namely, Q90/Q50 (where Qn refers to nth percentile flow), slope of low-flow part of flow duration curve, and % of zero-flow days. Results showed that predicted flows agreed favourably to those observed at the gauge especially during low-flow conditions. The hypothetical plantation expansion from 32% to 87% of the catchment area has resulted in reductions of 48% and 32%, in Q50 and Q20, respectively. The low-flow indices demonstrated the great sensitivity of low flow to reductions in recharge with the trend of the low-flow response changing to non-linear for recharge reductions beyond 10%. GWlag daily river flow predictions compared favourably to those obtained from four other rainfall-runoff models in terms of the Nash–Sutcliffe model efficiency (E). However, GWlag produced the highest E-value for log-transformed flows thus highlighting the model's superior predictive capability during low-flow conditions. ► We developed an integrated soil-water balance and catchment hydrology model. ► We achieved a good match to measured river flow in a case study catchment. ► We modelled impacts of plantation expansion on daily river flow. ► We investigated impacts of recharge reduction on river low-flow statistics. ► The GWlag tool can investigate links between land-use and river flow to aid catchment management.