The Value of Intensive Sampling—A Comparison of Fluvial Loads

Saurav Kumar (), Adil Godrej, Harold Post and Karl Berger
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Saurav Kumar: Department of Biological and Agricultural Engineering and Texas A&M AgriLife Research El Paso
Adil Godrej: Virginia Tech
Harold Post: Virginia Tech
Karl Berger: Metropolitan Washington Council of Governments

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2019, vol. 33, issue 12, No 16, 4303-4318

Abstract: Abstract Most long-term sampling regimes are calendar based, collecting one or two samples per month regardless of the stream conditions. Loads estimated with calendar-based sampling are often used for expensive water quality mitigation measures. In this paper, we have tested the differences between the calendar-based and extensive sampling methods for two watersheds of different sizes, and three parameters—total nitrogen, total phosphorus, and total suspended solids. Based on the results obtained and the costs associated with the remediation, a simple decision-making framework is proposed for watershed managers to decide on the applicability of a calendar-based sampling method. Direct loads (DL) were computed using a method based on an intensive sampling of flow and other water quality parameters. Weighted regression loads (WL) were estimated using the WRTDS model designed for modified calendar-based sampling. The results suggest that for trend analysis and planning on a larger scale, long-term loads obtained from a modified calendar-based sampling regime may be used as a reasonable substitute for loads obtained from intensive sampling. However, for purposes where accurate daily loads are needed (e.g., water quality model calibration) WL may not be an effective substitute for DL. Finally, we recommend that the costs of control measures should be assessed when deciding on a sampling regime.

Keywords: Nutrient loads; Sampling methods; Regression methods; WRTDS; Remediation costs (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11269-019-02369-7

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