Abstract

Watershed data, climate and stable data collected over a 16-year period from a network of 50 lakes in northeastern Alberta, are provided to allow for broader incorporation into regional assessments of environmental impacts, particularly hydrologic and geochemical processes under changing climate and land use development. Oxygen-18 and deuterium analyses of water samples are provided from late summer surveys of 50 lakes with varying land cover and permafrost conditions. Six sub-groups of lakes are represented, including Stony Mountains, West Fort McMurray, Northeast Fort McMurray, Birch Mountains, Caribou Mountains and Shield. This dataset includes 1582 isotopic analyses made on 791 water samples and 3164 isotope mass balance model outputs, as well as 800 lake/watershed parameters, 5600 climate parameters, and 800 modelled values for isotopic composition of precipitation used in the computations. Model data are provided to facilitate evaluation of transferability of the model for other applications, and to permit more sophisticated spatial analysis and intercomparison with geochemical and biological datasets. Details and further discussion on the isotope mass balance approach are provided in “Regional trends in water balance and runoff to fifty boreal lakes: a 16-year isotope mass balance assessment including evaluation of hydrologic drivers” [1]. Overall, the data are expected to be useful, in comparison with local and regional datasets, for water resource management and planning, including design of monitoring networks and environmental impact assessments for oil sands projects.

Highlights

  • Watershed, climate, and stable isotope data for 50 boreal lakes in the oil sands region, northeastern Alberta, Canada, 2002e2017

  • How data were acquired Lake and watershed data are based on field measurements as well as digital elevation model data, hydrographic network data and maps; wetland classifications are based on 1:20:000 vertical air photo interpretation; drift thickness and distance to buried channels are based on geologic and hydrostratigraphic data available online from Alberta Geological Survey; climate data are interpolated from the North American Regional Reanalysis (NARR) monthly climatology; monthly d18O and d2H in precipitation were amount-weighted using NARR

  • ArcGIS/ArcHYDRO was used for spatial analysis; GrADs was used for spatial interpolation

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Summary

Data accessibility

Climate, and stable isotope data are stored within this article. Geochemical data are available from the RAMP Program Lake, watershed, landcover, climate, stable isotope data (oxygen-18 and deuterium), water balance data, and Mann-Kendall statistics are provided from a program of hydrological and geochemical monitoring of 50 lakes in the oil sands region of northeastern Alberta over a 16-year period, during 2002e2017 (Fig. 1, Tables 1e13, RAMPlakesWY.xlsx). Isotope balance estimates of evaporation/inflow (Table 11) and water yield to lakes (Table 12) were based on a previously demonstrated model and protocols [12]. NE1 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 2 NE2 Upward No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward Upward No.Trend No.Trend No.Trend 16 3 NE3 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 4 NE4 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 5 NE5 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 6 NE6 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 7 NE7 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 8 NE8 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 9 NE9 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 10 NE10 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 11 NE11 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend SM1 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend SM2 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 14 SM3 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend 16 15 SM4 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend 16 16 SM5 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend 16 17 SM6 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend 16 18 SM7 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend Upward No.Trend Downward 16 19 SM8 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend 16 20 SM9 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend 16 21 SM10 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend 16 22 WF1 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend 16 23 WF2 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend 16 24 WF3 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 25 WF4 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 26 WF5 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 27 WF6 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 28 WF7 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 29 WF8 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend BM1 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend BM2 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend Upward No.Trend Downward 16 32 BM3 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 33 BM4 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 34 BM5 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 35 BM6 No.Trend No.Trend Upward Upward No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 36 BM7 Upward Upward No.Trend No.Trend No.Trend No.Trend No.Trend Upward Upward No.Trend No.Trend No.Trend 16 37 BM8 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16 38 BM9 No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend No.Trend Upward No.Trend No.Trend No.Trend No.Trend 16

Water sampling and analysis
Water balance data
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