Original Research ArticleWater cycle modelling of peri-urban hydroecological systems: a case study of the South Creek catchment, Australia
Introduction
Increasing urbanisation, changing landscape, growing competition and conflict among different water users and controls are putting enormous pressures on hydroecological systems, particularly in peri-urban areas, ‘the rural areas surrounding cities’. As in many peri-urban areas, the regional authorities in Western Sydney, Australia are faced with revisiting their water use and management strategies to address increasing water demands, limited water supply, the impact of urban development on streamflows and water quality, and calls for a legitimate share of environmental flows to protect the health of Hawkesbury-Nepean River system (DECC, 2010). This, however, requires a comprehensive understanding and quantification of different water cycle components of complex peri-urban hydroecological systems. Various planned water management activities also require an evaluation of their impact on the water cycle and streamflows in the catchment.
In this context, researchers have been devoting significant effort in observing and quantifying processes and factors affecting water flow and its management in different hydroecological systems. Integrating the accumulated hydrological knowledge and advancements in computation tools are providing new opportunities to develop hydrological models to assist with analysis and decision making for productive and sustainable water management strategies. Indeed, hydrologic modelling offers a time efficient and cost-effective approach to estimate, integrate and analyse different water cycle components, and to evaluate the impacts of ‘what if’ scenarios on the water cycle and streamflows in a catchment (Xu and Singh, 1998, Brun and Band, 2000, Mitchell et al., 2001, Singh and Woolhiser, 2002, Chiew et al., 2002a, Chiew et al., 2002b, Boughton, 2005, Siriwardena et al., 2006, Kumar et al., 2013).
In a review, Boughton (2005) reported 14 different catchment water balance models developed in Australia, primarily used to simulate water balances of either rural (Chiew et al., 2002a) or urban catchments (Mitchell et al., 2001). The peri-urban water cycle, however, differs significantly from the rural water cycle due to the impact of a larger proportion of urban ‘impervious’ surfaces, reticulated potable water supply, and wastewater discharge. When compared to urban catchments, peri-urban catchments generally have larger proportions of rural ‘pervious’ surfaces and higher surface water and/or groundwater extractions for primary production activities. These components of the water cycle have a strong bearing on streamflows in peri-urban catchments such as the South Creek catchment in Western Sydney (Singh et al., 2009a), and thus need to be accounted for in modelling the water cycle of peri-urban catchments.
We developed a catchment water balance model, Peri-Urban SimHyd, to simulate the complete surface water cycle of the South Creek catchment, a typical peri-urban catchment in Western Sydney, Australia. Peri-Urban SimHyd was developed under the umbrella of the Cooperative Research Centre (CRC) for Irrigation Futures’ System Harmonisation research program in Western Sydney (Singh et al., 2009a, Singh et al., 2009b). The main objectives of this study were (i) to adapt a selected catchment water balance model for rural landscapes to the conditions of peri-urban landscapes; (ii) to evaluate the developed model Peri-Urban SimHyd to simulate complete water cycle of the South Creek catchment; (iii) to further apply the model to assess the impacts of specific planned water cycle management strategies on the streamflows in the South Creek catchment; and (iv) to examine the model's capabilities, limitations and potential enhancements as a tool for integrated water balance analysis of complex peri-urban hydroecological systems.
Section snippets
Modelling the water cycle of the South Creek catchment
The South Creek catchment covers an area of around 625 km2 in the gently undulating plains and low hills of Western Sydney, New South Wales, Australia (Fig. 1). It is a typical example of a peri-urban catchment with urban development over nearly 20% of the land area and peri-urban agriculture activities, such as market gardens, cut flowers, greenhouse, nursery, orchard, turf farming, and pasture, over nearly 50% of the land area (EPA, 2001). Water cycle in the South Creek catchment is complex
Model's capabilities, limitations and potential enhancements
Peri-Urban SimHyd integrates, for the first time in a single modelling framework, the daily simulation of rainfall-runoff from both urban ‘impervious’ and rural ‘pervious’ areas with the monthly simulation of potable water supply, wastewater discharge, and surface and groundwater extractions, to simulate and analyse the complete surface water cycle of a peri-urban catchment. The model, however, does not simulate: (a) streamflow routing, (b) sewer system leakage, and (c) seepage losses from
Conclusions
Sustainable water use and its management in peri-urban areas require tools to integrate and analyse different components of complex peri-urban hydroecological systems. We evaluated and applied a catchment water balance model, Peri-Urban SimHyd to simulate and analyse the complete water cycle of the South Creek catchment, a typical peri-urban catchment in Western Sydney, Australia. The model was successful (the Nash-Sutcliffe model efficiency being >0.68) in simulating the monthly total
Conflict of interest
None declared.
Financial disclosure
None declared.
Acknowledgements
The funding for this study was provided by the Collaborative Research Centre for Irrigation Futures, Australia. The support of WISER Project team members and partners during the study period is greatly appreciated. The authors are also thankful to the journal's editors and anonymous reviewers for their constructive comments.
References (39)
Catchment water balance modelling in Australia
Agric. Water Manage.
(2005)- et al.
Simulating runoff behaviour in an urbanising watershed
Comput. Environ. Urban Syst.
(2000) - et al.
Modelling the urban water cycle
Environ. Modell. Softw.
(2001) - et al.
River flow forecasting through conceptual models. Part I. A discussion of principles
J. Hydrol.
(1970) - et al.
The impact of land use change on catchment hydrology in large catchments: the Comet River, Central Queensland, Australia
J. Hydrol.
(2006) - et al.
Modelling monthly streamflows in two Australian dryland rivers: matching model complexity to spatial scale and data availability
J. Hydrol.
(2006) - et al.
Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56
(1998) - et al.
Pervious and impervious runoff in urban catchment
Hydrol. Sci.
(1993) - et al.
Assessing the adequacy of catchment streamflow yield estimates
Aust. J. Soil Res.
(1993) - et al.
Application and testing of the simple rainfall-runoff models SIMHYD
Catchment Scale Modelling Of Runoff, Sediment and Nutrient Loads for the South-East Queensland EMSS, Technical Report 02/1
Analysis of the performance of rainwater tanks in Australian Capital Cities
Integrated water cycle management at the Heritage Mews Development in Western Sydney
Proc. 28th International Hydrology and Water Resources Symposium
Modelling of stormwater ingress into foulwater sewers
Metropolitan Water Plan, Water for People and Water for the Environment
PEST: Model Independent Parameter Estimation
SILO Climatic Data
An Introduction to the Bootstrap
Assessment of Diffuse Sources of Pollution in the South Creek Catchment – A GIS Approach
Cited by (3)
Effects of different irrigation regimes on soil moisture availability evaluated by CSM-CERES-Maize model under semi-arid condition
2017, Ecohydrology and HydrobiologyCitation Excerpt :It is also difficult to perform a long-term evaluation of different management scenarios with complex weather interactions, and a range of soil textures, under field conditions (Gijsman et al., 2002; He et al., 2012; Mulebeke et al., 2013). Thus, different crop models have been developed in order to simulate soil moisture and plant growth for a range of management practices and environmental conditions (Szporak-Wasilewska et al., 2015; Wang and Engel, 2000; Singh et al., 2014). During the past 25 years, crop models have demonstrated to be a powerful tool that can generalize laboratory data for very specific weather and soil conditions and a range of management scenarios (Boote et al., 2010; Lopez-Cedron et al., 2008; Dokoohaki et al., 2015; Lalika et al., 2014; Thorp et al., 2008).
Periurban transformations in the global south and their impact on water-based livelihoods
2020, Water (Switzerland)