Design of stormwater monitoring programs

There is a need to re-configure current urban water systems to achieve the objective of sustainable water sensitive cities. Stormwater represents a valuable alternative urban water source to reduce pressure on fresh water resources, and to mitigate the environmental impact of urban stormwater runoff. The selection of suitable urban stormwater harvesting sites is generally based on the judgement of water planners, who are faced with the challenge of considering multiple technical and socio-economic factors that influence the site suitability. To address this challenge, the present study developed a robust GIS based screening methodology for identifying potentially suitable stormwater harvesting sites in urban areas as a first pass for subsequent more detailed investigation. The study initially evaluated suitability based on the match between harvestable runoff and demand through a concept of accumulated catchments. Drainage outlets of these accumulated catchments were considered as potential stormwater harvesting sites. These sites were screened and ranked under three screening parameters, namely demand, ratio of runoff to demand, and weighted demand distance. The methodology described in this paper was successfully applied to a case study in Melbourne, Australia, in collaboration with the local water utility. The methodology was effective in supporting the selection of priority sites for stormwater harvesting schemes, as it provided the basis to identify, shortlist, and rank sites for further detailed investigation. The rapid identification of suitable sites for stormwater harvesting can assist planners in prioritising schemes in areas that will have the most impact on reducing potable water demand.

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“…Lee et al (2007) proposed a GIS based methodology for demonstrating the benefits of water harvesting in Chiba city of Japan.…”

Section: Introductionmentioning

confidence: 99%

A GIS based screening tool for locating and ranking of suitable stormwater harvesting sites in urban areas

Inamdar

Cook

Sharma

et al. 2013

Journal of Environmental Management

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“…Consequently, the retention time of pollutants in rail tracks fluctuates significantly, from half a day to three months from site to site (Osborne and Montague, 2005). The first flush effect was detected at locations that experienced great variation in wet and dry weather conditions (Gil and Im, 2014), but in places where the rainfall regime was more uniform, the first flush effect may not be observed (Lee et al, 2007).…”

Section: Pollution Routesmentioning

confidence: 96%

“…The number of events, the time and method of sampling during an event may lead to a striking contrast in results (Lee et al, 2007). Common sampling methods are instantaneous grab sampling and flowweighted composite sampling.…”

Section: Monitoring and Modellingmentioning

confidence: 99%

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Stormwater quality management in rail transportation — Past, present and future

Ngo

Guo

et al. 2015

Science of The Total Environment

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“…Due to the complexity of the relationship between runoff and concentration, it is generally preferable to model the process with rainfall as input, even if observed runoff is assumed to be available for the application. Basically, all methods propose either to sample locations where the uncertainties are maximum, or where there are higher probabilities of finding low or high values of special interest, for instance avoiding missing the first flush in stormwaters (Lee et al 2007), or locating hotspot regions (Shieh et al 2005). The uncertainties are understood regarding the predictions of a model at every location likely to be sampled.…”

Section: Introductionmentioning

confidence: 99%

Sampling strategies based on sets of behavioural parameters. Application to a simple pesticide fate model

Leviandier

Madier

Payraudeau

2011

Stoch Environ Res Risk Assess

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Sampling strategies are necessary to minimise the cost of data acquisition. We consider the case when several samples must be analysed at the same time, knowing rainfall data, optionally discharge data. We assume also that a rainfall-runoff and pesticide transfer model is available. Three methods are presented based on behavioural sets calculated on prior events, which provide optimal sampling times with respect to different statistical criteria, for a fixed number of samples. A methodology to compare these strategies, adapted to a context of data scarcity is proposed for proper validation. We consider that the combination of a model and a strategy is efficient if it does better than a strategy without a model based on equal volumes. Even with a simple and relatively poor model, it can be concluded that the different strategies are efficient and show similar efficiency in spite of their different levels of conceptual and algorithmic complexity.

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Design of stormwater monitoring programs

Cited by 78 publications

References 17 publications

A GIS based screening tool for locating and ranking of suitable stormwater harvesting sites in urban areas

A GIS based screening tool for locating and ranking of suitable stormwater harvesting sites in urban areas

Stormwater quality management in rail transportation — Past, present and future

Sampling strategies based on sets of behavioural parameters. Application to a simple pesticide fate model

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