Literature DB >> 28994782

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds.

Niroj Aryal1, Michele L Reba2.   

Abstract

Pollutant concentrations and loads in watersheds vary considerably with time and space. Accurate and timely information on the magnitude of pollutants in water resources is a prerequisite for understanding the drivers of the pollutant loads and for making informed water resource management decisions. The commonly used "grab sampling" method provides the concentrations of pollutants at the time of sampling (i.e., a snapshot concentration) and may under- or overpredict the pollutant concentrations and loads. Continuous monitoring of nutrients and sediment has recently received more attention due to advances in computing, sensing technology, and storage devices. This protocol demonstrates the use of sensors, sondes, and instrumentation to continuously monitor in situ nitrate, ammonium, turbidity, pH, conductivity, temperature, and dissolved oxygen (DO) and to calculate the loads from two streams (ditches) in two agricultural watersheds. With the proper calibration, maintenance, and operation of sensors and sondes, good water quality data can be obtained by overcoming challenging conditions such as fouling and debris buildup. The method can also be used in watersheds of various sizes and characterized by agricultural, forested, and/or urban land.

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Year:  2017        PMID: 28994782      PMCID: PMC5752339          DOI: 10.3791/56036

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  2 in total

1.  Application and evaluation of a new passive sampler for measuring average solute concentrations in a catchment scale water quality monitoring study.

Authors:  Joachim Rozemeijer; Y P E van der Velde; Hubert de Jonge; Frans van Geer; Hans-Peter Broers; Marc Bierkens
Journal:  Environ Sci Technol       Date:  2010-02-15       Impact factor: 9.028

2.  A comparison of river water quality sampling methodologies under highly variable load conditions.

Authors:  A Facchi; C Gandolfi; M J Whelan
Journal:  Chemosphere       Date:  2006-09-27       Impact factor: 7.086

  2 in total

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