Evaluating Drainage Design Parameters for Wastewater Irrigation Applications to Minimize Impact on Surface Waters

Öztekin, Tekin; Brown, Lc.; Holdsworth, P.M.; Kurunç, Ahmet; Rector, David R.

doi:10.13031/2013.5803

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…The hydrologic component has been tested extensively and applied in many parts of the world for different soil types and climates through calibration and validation procedures (Sanoja et al, 1990;Singh et al, 1994;Oztekin et al, 1999;Borin et al, 2000;Zhao et al, 2000;Amatya and Skaggs, 2001;Luo et al, 2001;Northcott et al, 2001;Helwig et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology

Wang

Frankenberger

Kladivko

2006

Hydrological Processes

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Abstract:Good modelling practice requires the incorporation of uncertainty analysis into hydrologic/water quality models. The generalized likelihood uncertainty estimation procedure was used to evaluate the uncertainty in DRAINMOD predictions of daily, monthly, and yearly subsurface drain flow. A variance-based sensitivity analysis technique, the extended Fourier amplitude sensitivity test, was used to identify the main sources of prediction uncertainty. The analysis was conducted for the experimental drainage field at the Southeast Purdue Agricultural Center in Indiana. Six years of data were used and the uncertainties in eight model parameters were considered to analyse how uncertainties in input parameters propagate to model outputs. The width of 90% confidence interval bands of drain flow ranged from 0 to 0Ð6 cm day 1 for daily predictions, from 0 to 3Ð1 cm month 1 for the monthly predictions, and from 7Ð6 to 12Ð4 cm year 1 for yearly predictions. Annual drain flow predicted by DRAINMOD fell well within the 90% confidence bounds. Model results were most sensitive to the vertical saturated hydraulic conductivity of the restrictive layer and the lateral hydraulic conductivity of the deepest soil layer, followed by the lateral hydraulic conductivity of the top soil layer and surface micro-storage. Parameter interactions also contributed to the prediction uncertainty.

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Section: Introductionmentioning

confidence: 99%

Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology

Wang

Frankenberger

Kladivko

2006

Hydrological Processes

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“…Another work focused on the evaluation of drainage design parameters for wastewater irrigation applications in the context of minimizing impact on surface waters (Oztekin et al, 1998). Tan et al (1998) described the effects of controlled drainage and subirrigation on surface and subsurface water quality and crop yields.…”

Section: Literature Review 1999mentioning

confidence: 99%

Agricultural Wastes

Poggi‐Varaldo¹

1999

Water Environment Research

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“…Crops planted in soil irrigated with wastewater can take up ARB/ARGs [ 13 ] and pose a risk of spreading AMR to consumers [ 14 , 15 ]. There is also the potential of ARB/ARG contamination in water bodies that are adjacent to wastewater-irrigated soils [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Does Irrigation with Treated and Untreated Wastewater Increase Antimicrobial Resistance in Soil and Water: A Systematic Review

Slobodiuk

Niven

Arthur

et al. 2021

IJERPH

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Population growth and water scarcity necessitate alternative agriculture practices, such as reusing wastewater for irrigation. Domestic wastewater has been used for irrigation for centuries in many historically low-income and arid countries and is becoming more widely used by high-income countries to augment water resources in an increasingly dry climate. Wastewater treatment processes are not fully effective in removing all contaminants, such as antimicrobial resistant bacteria (ARB) and antimicrobial resistance genes (ARGs). Literature reviews on the impact of wastewater irrigation on antimicrobial resistance (AMR) in the environment have been inconclusive and mostly focused on treated wastewater. We conducted the first systematic review to assess the impact of irrigation with both treated or untreated domestic wastewater on ARB and ARGs in soil and adjacent water bodies. We screened titles/abstracts of 3002 articles, out of which 41 were screened in full text and 26 were included in this review. Of these, thirteen investigated irrigation with untreated wastewater, and nine found a positive association with ARB/ARGs in soil. Out of thirteen studies focused on treated wastewater, six found a positive association with ARB/ARGs while six found mixed/negative associations. Our findings demonstrate that irrigation with untreated wastewater increases AMR in soil and call for precautionary action by field workers, their families, and consumers when untreated wastewater is used to irrigate crops. The effect of irrigation with treated wastewater was more variable among the studies included in our review, highlighting the need to better understand to what extent AMR is disseminated through this practice. Future research should assess factors that modify the effect of wastewater irrigation on AMR in soil, such as the degree and type of wastewater treatment, and the duration and intensity of irrigation, to inform guidelines on the reuse of wastewater for irrigation.

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Evaluating Drainage Design Parameters for Wastewater Irrigation Applications to Minimize Impact on Surface Waters

Cited by 7 publications

References 4 publications

Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology

Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology

Agricultural Wastes

Does Irrigation with Treated and Untreated Wastewater Increase Antimicrobial Resistance in Soil and Water: A Systematic Review

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