The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts

Archfield, Stacey A.; Vogel, Richard M.; Steeves, Peter A.; Brandt, Sara L.; Weiskel, Peter K.; Garabedian, Stephen P.

doi:10.3133/sir20095227

Cited by 34 publications

(41 citation statements)

References 22 publications

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“…Regional regression has often been used to estimate streamflow statistics for use in flow transfer techniques (Archfield et al, 2009;Hirsch, 1979;Vogel et al, 1999;Benson and Matalas, 1967). Hirsch (1979) used regional regressions for estimating mean monthly streamflows that depend on a wide range of watershed explanatory variables, some of which are not readily available in many underdeveloped regions of the world.…”

Section: Regional Regressionmentioning

confidence: 99%

“…Although research on new hydrostatistical methods for estimation of time series of streamflow at an ungauged site is scant, the need for such methods is great as evidenced by the recent development of interactive computer packages for generating time series of streamflow at ungauged sites (Archfield et al, 2009(Archfield et al, , 2012Smakhtin and Eriyagama, 2008;Lee et al, 2007). The studies presented above are important to the re-emerging field of hydrostatistics.…”

Section: Introductionmentioning

confidence: 96%

“…Fennessey (1994) and Archfield et al (2009) term this method the QPPQ method. Smakhtin and Masse (2000) further presented a novel spin on this approach, using duration curves of a wetness indicator to simulate streamflow records at ungauged sites.…”

Section: Introductionmentioning

confidence: 97%

“…More recently, Fennessey (1994), Hughes and Smakhtin (1996) and Archfield et al (2009Archfield et al ( , 2012 presented a novel technique that develops a daily flow duration curve (FDC) for the ungauged site and uses the FDC at both the gauged and ungauged sites to transfer streamflow information by assuming that the exceedance probability of the streamflows at both sites are equal. Fennessey (1994) and Archfield et al (2009) term this method the QPPQ method.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance-weighted methods for estimating monthly streamflow at ungauged sites

Farmer

Vogel

2013

Journal of Hydrology

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Section: Regional Regressionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance-weighted methods for estimating monthly streamflow at ungauged sites

Farmer

Vogel

2013

Journal of Hydrology

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“…Ignoring quantile dependencies can lead to complications, such as the failure of the resulting FDC to exhibit its expected monotonic property. For example, Archfield et al (2010) employed a recursive approach to estimation of regional FDCs to ensure the monotonic properties of FDCs are reproduced.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Regional flow duration curves: Geostatistical techniques versus multivariate regression

Pugliese

Farmer

Castellarin

et al. 2016

Advances in Water Resources

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Spatial statistical network models for stream and river temperature in New England, USA

Detenbeck

Morrison

Abele

et al. 2016

Water Resources Research

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Watershed managers are challenged by the need for predictive temperature models with sufficient accuracy and geographic breadth for practical use. We described thermal regimes of New England rivers and streams based on a reduced set of metrics for the May-September growing season (July or August median temperature, diurnal rate of change, and magnitude and timing of growing season maximum) chosen through principal component analysis of 78 candidate metrics. We then developed and assessed spatial statistical models for each of these metrics, incorporating spatial autocorrelation based on both distance along the flow network and Euclidean distance between points. Calculation of spatial autocorrelation based on travel or retention time in place of network distance yielded tighter-fitting Torgegrams with less scatter but did not improve overall model prediction accuracy. We predicted monthly median July or August stream temperatures as a function of median air temperature, estimated urban heat island effect, shaded solar radiation, main channel slope, watershed storage (percent lake and wetland area), percent coarse-grained surficial deposits, and presence or maximum depth of a lake immediately upstream, with an overall root-mean-square prediction error of 1.4 and 1.58C, respectively. Growing season maximum water temperature varied as a function of air temperature, local channel slope, shaded August solar radiation, imperviousness, and watershed storage. Predictive models for July or August daily range, maximum daily rate of change, and timing of growing season maximum were statistically significant but explained a much lower proportion of variance than the above models (5-14% of total). PUBLICATIONSHistorically, when developing predictive temperature models for streams, there has been a trade-off between accuracy of model predictions and practical spatial extent of model coverage. Mechanistically based heat budget models such as SNTEMP [Krause et al., 2004] can predict stream temperature within a few tenths of a degree. However, the only mechanistic model that has been linked with a GIS interface to facilitate regional application is BASIN TEMP [Allen 2008], which is not commercially available. One intermediate solution could be the application of WET-Temp [Cox and Bolte, 2007], a spatially explicit networkbased model for continuous temperature simulation. However, combined preprocessing and run times for an entire region would be prohibitive. LeBlanc et al. [1997] identified a second intermediate solution using a simulation model of the effects of urbanization on water temperature in unregulated streams. They determined that model outputs were sensitive to only four of the model inputs: vegetation transmissivity, channel width, sun angle, and groundwater discharge, thus paving the way to development of a much simpler predictive model. This approach has only been applied at the reach scale, however, and needs to be incorporated into a network model to allow examination of cumulative effects on temperature throughout...

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The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts

Abstract: ROM 1. Diagram showing translation of a flow-duration curve to a time series of estimated streamflow using the QPPQ method, showing (A) the observed time series, (B) flowduration curve, (C) exceedence probability, and (D) estimated time series for the Massachusetts Sustainable

Cited by 34 publications

References 22 publications

Performance-weighted methods for estimating monthly streamflow at ungauged sites

Performance-weighted methods for estimating monthly streamflow at ungauged sites

Regional flow duration curves: Geostatistical techniques versus multivariate regression

Spatial statistical network models for stream and river temperature in New England, USA

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