Using GIS to estimate lake volume from limited data

Hollister, Jeffrey W.; Milstead, W. Bryan

doi:10.1080/07438141.2010.504321

Cited by 58 publications

(60 citation statements)

References 6 publications

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“…However, in analogy to the concept of ‘topographic lake depth' as explained above, it can be generally postulated that deep lakes preferentially occur in mountainous regions while plains are indicative of shallower lakes. Based on this principle, multiple studies drew statistical relationships between the topography surrounding a lake and its depth using a variety of terrain indices for the prediction, such as elevation ranges and slopes3359606162. Most recently, Heathcote et al 34.…”

Section: Methodsmentioning

confidence: 99%

Estimating the volume and age of water stored in global lakes using a geo-statistical approach

et al. 2016

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Lakes are key components of biogeochemical and ecological processes, thus knowledge about their distribution, volume and residence time is crucial in understanding their properties and interactions within the Earth system. However, global information is scarce and inconsistent across spatial scales and regions. Here we develop a geo-statistical model to estimate the volume of global lakes with a surface area of at least 10 ha based on the surrounding terrain information. Our spatially resolved database shows 1.42 million individual polygons of natural lakes with a total surface area of 2.67 × 106 km2 (1.8% of global land area), a total shoreline length of 7.2 × 106 km (about four times longer than the world's ocean coastline) and a total volume of 181.9 × 103 km3 (0.8% of total global non-frozen terrestrial water stocks). We also compute mean and median hydraulic residence times for all lakes to be 1,834 days and 456 days, respectively.

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Section: Methodsmentioning

confidence: 99%

Estimating the volume and age of water stored in global lakes using a geo-statistical approach

et al. 2016

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“…Lake volume measurements require detailed bathymetric surveys, which are expensive and time consuming to conduct [Hollister and Milstead, 2010]. A growing number of regional reports use lake area and lakeside topography (e.g., maximum slope in a 50 m wide buffer around the lake shoreline) to predict individual lake depth and volume [e.g., Sobek et al, 2011;Heathcote et al, 2015].…”

Section: Introductionmentioning

confidence: 99%

The volume and mean depth of Earth's lakes

Cael

Heathcote

Seekell

2017

Geophysical Research Letters

108

101

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Global lake volume estimates are scarce, highly variable, and poorly documented. We developed a rigorous method for estimating global lake depth and volume based on the Hurst coefficient of Earth's surface, which provides a mechanistic connection between lake area and volume. Volume‐area scaling based on the Hurst coefficient is accurate and consistent when applied to lake data sets spanning diverse regions. We applied these relationships to a global lake area census to estimate global lake volume and depth. The volume of Earth's lakes is 199,000 km3 (95% confidence interval 196,000–202,000 km3). This volume is in the range of historical estimates (166,000–280,000 km3), but the overall mean depth of 41.8 m (95% CI 41.2–42.4 m) is significantly lower than previous estimates (62–151 m). These results highlight and constrain the relative scarcity of lake waters in the hydrosphere and have implications for the role of lakes in global biogeochemical cycles.

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“…Lake volume was determined using bathymetric curves or extrapolated using the method of Hollister and Milstead (2010), with the aid of the computer program ArcGIS from ESRI. This program was also used to determine the geological and surficial deposit characteristics for each watershed.…”

Section: Morphometric and Geological Variablesmentioning

confidence: 99%

Reconstructing phosphorus levels using models based on the modern diatom assemblages of 55 lakes in southern Quebec

Tremblay

Pienitz

Legendre

2014

Can. J. Fish. Aquat. Sci.

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This study shows how modern diatom assemblages, obtained from the surface sediments of 55 deep and shallow lakes in southern Quebec and representing a gradient in trophic state and specific conductivity, can be used to reconstruct the historical water column concentrations of total phosphorus (TP) over time. Inference models were developed with the aid of regression analyses based on weighted means. The TP models demonstrate statistical performances equal to or superior to TP models developed in the past for other regions in Canada and elsewhere in the world. A reconstruction of TP values, based on fossil diatom assemblages of Lac Nairne (Charlevoix, QC), was conducted. Comparing the TP inferred values with the measured values and those estimated using export coefficients, the reliability of the model was proven. In addition, the comparison of the results obtained from reconstructions performed with two inference models (Quebec and Ontario lakes) also revealed that models predicted TP and not a collinear variable.Résumé : Cet article vise à montrer que les assemblages de diatomées modernes répertoriées dans les sédiments de surface de 55 lacs du Québec méridional, représentatifs d'un gradient d'états trophiques, permettent de reconstituer les teneurs historiques en phosphore total (PT) qui prévalaient dans la colonne d'eau des lacs du Québec. Pour ce faire, un modèle d'inférence a été développé à l'aide d'analyses de régressions basées sur les moyennes pondérées. Les performances statistiques du modèle de PT sont équivalentes ou supérieures aux modèles développés pour des régions différentes au Canada ou ailleurs dans le monde. Une reconstitution des valeurs de PT, basée sur les assemblages de diatomées fossiles du lac Nairne (Charlevoix, QC) a été menée. La comparaison des valeurs de PT inférées avec les valeurs mesurées ainsi que celles estimées à l'aide des coefficients d'exportation a montré la justesse du modèle. De plus, la comparaison des résultats provenant de reconstitutions menées avec deux modèles d'inférence (lacs du Québec et de l'Ontario) a également montré que les modèles prédisent le PT et non une variable colinéaire.

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Using GIS to estimate lake volume from limited data

Cited by 58 publications

References 6 publications

Estimating the volume and age of water stored in global lakes using a geo-statistical approach

Estimating the volume and age of water stored in global lakes using a geo-statistical approach

The volume and mean depth of Earth's lakes

Reconstructing phosphorus levels using models based on the modern diatom assemblages of 55 lakes in southern Quebec

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