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Testing the Hydrological Landscape Unit Classification System and Other Terrain Analysis Measures for Predicting Low-Flow Nitrate and Chloride in Watersheds

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Abstract

Elevated nitrate concentrations in streamwater are a major environmental management problem. While land use exerts a large control on stream nitrate, hydrology often plays an equally important role. To date, predictions of low-flow nitrate in ungauged watersheds have been poor because of the difficulty in describing the uniqueness of watershed hydrology over large areas. Clearly, hydrologic response varies depending on the states and stocks of water, flow pathways, and residence times. How to capture the dominant hydrological controls that combine with land use to define streamwater nitrate concentration is a major research challenge. This paper tests the new Hydrologic Landscape Regions (HLRs) watershed classification scheme of Wolock and others (Environmental Management 34:S71-S88, 2004) to address the question: Can HLRs be used as a way to predict low-flow nitrate? We also test a number of other indexes including inverse-distance weighting of land use and the well-known topographic index (TI) to address the question: How do other terrain and land use measures compare to HLR in terms of their ability to predict low-flow nitrate concentration? We test this for 76 watersheds in western Oregon using the U.S. Environmental Protection Agency’s Environmental Monitoring and Assessment Program and Regional Environmental Monitoring and Assessment Program data. We found that HLRs did not significantly improve nitrate predictions beyond the standard TI and land-use metrics. Using TI and inverse-distance weighting did not improve nitrate predictions; the best models were the percentage land use—elevation models. We did, however, see an improvement of chloride predictions using HLRs, TI, and inverse-distance weighting; adding HLRs and TI significantly improved model predictions and the best models used inverse-distance weighting and elevation. One interesting result of this study is elevation consistently predicted nitrate better than TI or the hydrologic classification scheme.

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Acknowledgments

We thank Dan Heggem, Jim Wigington, and John Van Sickle of the Environmental Protection Agency for chemistry and GIS data, Dave Wolock of the United States Geological Survey for hydrologic landscape region maps, and Alan Herlihy, Jim Wigington, and Pete Nelson for useful discussions. Many thanks go to John Van Sickle for reviewing an early version of the manuscript and providing valuable editorial advice. This research was funded by the Environmental Protection Agency cooperative program. TU Delft is thanked for their support of J.J.M. during the final writing stages.

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  1. Department of Civil and Environmental Engineering, Washington State University, 118 Sloan Hall, Pullman, WA, 99164-2910, USA

    Cara J. Poor

  2. Water Resources Section, TU Delft, Delft, The Netherlands

    Jeffrey J. McDonnell

  3. On leave from Department of Forest Engineering, Oregon State University, 204 Peavy Hall, Corvallis, OR, 97331, USA

    Jeffrey J. McDonnell

  4. Department of Bioengineering, Oregon State University, 116 Gilmore Hall, Corvallis, OR, 97331, USA

    John Bolte

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  1. Cara J. Poor
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Correspondence to Cara J. Poor.

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Poor, C.J., McDonnell, J.J. & Bolte, J. Testing the Hydrological Landscape Unit Classification System and Other Terrain Analysis Measures for Predicting Low-Flow Nitrate and Chloride in Watersheds. Environmental Management 42, 877–893 (2008). https://doi.org/10.1007/s00267-008-9168-5

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