Data on iron and turbidity in a drip irrigation system in New Jersey, USA

Steven Yergeau; Amy Raudenbush

doi:10.1016/j.dib.2019.01.038

Data on iron and turbidity in a drip irrigation system in New Jersey, USA

Steven Yergeau, Amy Raudenbush

Department of Agriculture and Natural Resources

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The dataset contains irrigation water quality parameters including iron concentrations (ferrous, ferric, and total) and turbidity measurements from a blueberry farm in southern New Jersey. Data was collected from May through June for 14 weeks in 2015 using a SMART3 Colorimeter™. Water samples were taken from the pump at the irrigation well and compared to samples taken from driplines at individual fields. All samples were analyzed in the field following the equipment׳s manual, except for ferric iron, which was calculated from the ferrous iron and total iron concentrations. Statistical analyses were performed on the dataset to understand the data. This data is being made available to increase the understanding of clogging in drip irrigation systems and to assist in the management of drip irrigation systems.

Original language	English (US)
Pages (from-to)	946-953
Number of pages	8
Journal	Data in Brief
Volume	22
DOIs	https://doi.org/10.1016/j.dib.2019.01.038
State	Published - Feb 2019

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title = "Data on iron and turbidity in a drip irrigation system in New Jersey, USA",

abstract = "The dataset contains irrigation water quality parameters including iron concentrations (ferrous, ferric, and total) and turbidity measurements from a blueberry farm in southern New Jersey. Data was collected from May through June for 14 weeks in 2015 using a SMART3 Colorimeter{\texttrademark}. Water samples were taken from the pump at the irrigation well and compared to samples taken from driplines at individual fields. All samples were analyzed in the field following the equipment׳s manual, except for ferric iron, which was calculated from the ferrous iron and total iron concentrations. Statistical analyses were performed on the dataset to understand the data. This data is being made available to increase the understanding of clogging in drip irrigation systems and to assist in the management of drip irrigation systems.",

author = "Steven Yergeau and Amy Raudenbush",

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N2 - The dataset contains irrigation water quality parameters including iron concentrations (ferrous, ferric, and total) and turbidity measurements from a blueberry farm in southern New Jersey. Data was collected from May through June for 14 weeks in 2015 using a SMART3 Colorimeter™. Water samples were taken from the pump at the irrigation well and compared to samples taken from driplines at individual fields. All samples were analyzed in the field following the equipment׳s manual, except for ferric iron, which was calculated from the ferrous iron and total iron concentrations. Statistical analyses were performed on the dataset to understand the data. This data is being made available to increase the understanding of clogging in drip irrigation systems and to assist in the management of drip irrigation systems.

AB - The dataset contains irrigation water quality parameters including iron concentrations (ferrous, ferric, and total) and turbidity measurements from a blueberry farm in southern New Jersey. Data was collected from May through June for 14 weeks in 2015 using a SMART3 Colorimeter™. Water samples were taken from the pump at the irrigation well and compared to samples taken from driplines at individual fields. All samples were analyzed in the field following the equipment׳s manual, except for ferric iron, which was calculated from the ferrous iron and total iron concentrations. Statistical analyses were performed on the dataset to understand the data. This data is being made available to increase the understanding of clogging in drip irrigation systems and to assist in the management of drip irrigation systems.

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ER -

Data on iron and turbidity in a drip irrigation system in New Jersey, USA

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