NDLI: Statistically Integrated Flow and Flood Modelling Compared to Hydrologically Integrated Quantity and Quality Model for Annual Flows in the Regulated Macquarie River in Arid Australia

Content Provider	Springer Nature Link
Author	Ren, Shiquan Kingsford, Richard T.
Copyright Year	2011
Abstract	Water resource management traditionally depends on use of highly complex hydrological models designed originally to manage water for abstraction but increasingly relied on to determine ecological impacts and test ecological rehabilitation opportunities. These models are rarely independently tested. We compared a relatively simple statistical model, integrated flow and flood modelling (IFFM), with a complex hydrological model, the integrated quality and quantity model (IQQM), on the highly regulated Macquarie River of the Murray-Darling Basin, southeastern Australia. We compared annual flows (1891–2007) at three gauges to actual data and modelled output: before dams and diversions (unregulated) and after river regulation (regulated), using the goodness of fit (Nash-Sutcliffe coefficient of efficiency) and nonparametric tests. IQQM underestimated impacts of river regulation respectively on median and average flows at the Macquarie Marshes (Oxley gauge) by about 10% and 16%, compared to IFFM. IFFM model output more closely matched actual unregulated and regulated flows than IQQM which tended to underestimate unregulated flows and overestimate regulated flows at the Ramsar-listed wetland. Output was reasonably similar for the two models at the other two flow gauges. Relatively simple statistical models could more reliably estimate ecological impact at floodplains of large river systems, as well as an independent assessment tool compared to complex hydrological models. Finally, such statistical models may be valuable for predicting ecological responses to environmental flows, given their simplicity and relative ease to run.
Starting Page	177
Ending Page	188
Page Count	12
File Format	PDF
ISSN	0364152X
Journal	Environmental Management
Volume Number	48
Issue Number	1
e-ISSN	14321009
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-04-17
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Nonparametric tests Integrated flow and flood modelling (IFFM) Integrated quantity and quality model (IQQM) Goodness of fit Local regressions Partial differential equations Environmental Management Ecology Atmospheric Protection/Air Quality Control/Air Pollution Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Forestry Management Nature Conservation
Content Type	Text
Resource Type	Article
Subject	Ecology Pollution Global and Planetary Change

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