Health Effects Associated with Wastewater Treatment, Reuse, and Disposal

Peterson, Jacob D.; Murphy, Robert R.; Ye, Jin; Nessl, Michael B.; Ikehata, Keisuke

doi:10.2175/106143011x13075599870216

Cited by 8 publications

(5 citation statements)

References 34 publications

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“…85 Several studies have also observed seasonal patterns of higher discharge of pharmaceuticals and personal care products in wastewater effluent during low flow and less during high flow periods. 86,87 While increasing research attention and regulatory efforts have been devoted to understanding prevalence of nonconventional chemical constituents in WWTPs and in receiving environments, 88 studies specifically focusing on characterization and risk assessment of emerging chemical constituents of concern in the context of recycled water applications are limited. [89][90][91] Advanced oxidation processes are particularly promising for removal of these pharmaceuticals and other organic compounds (Table 5).…”

Section: Chronic Contaminantsmentioning

confidence: 99%

A human exposome framework for guiding risk management and holistic assessment of recycled water quality

Garner

Zhu

Strom

et al. 2016

Environ. Sci.: Water Res. Technol.

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Section: Chronic Contaminantsmentioning

confidence: 99%

A human exposome framework for guiding risk management and holistic assessment of recycled water quality

Garner

Zhu

Strom

et al. 2016

Environ. Sci.: Water Res. Technol.

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“…In fact, about one tenth of global crops was irrigated with sewage; unfortunately, in which only 10 % was properly treated (World Bank, important issue must be considered is the existence of emerging pollutants such as phthalates, polychlorobiphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), pharmaceutical compounds, personal care products, etc (Peterson et al, 2011). Since the compounds may enter the food chain through bioaccumulation and biomagnification, the utilization of reclaimed water should follow proper standards (Peterson et al, 2011). With more stringent regulations on the quality of irrigated water, the market of effluent reclamation for agriculture would be encouraging (Mekala et al, 2008;Yi et al, 2011).…”

Section: Water-reuse Marketmentioning

confidence: 99%

“…The research themes were very diverse, ranging from its applications and advantages (Guest et al, 2009); treatment technologies and operational issues (de Koning et al, 2008;Venkatesan et al, 2011); economics of water reuse (Daniels and Porter, 2012;Listowski et al, 2013;Molinos-Senante et al, 2011) to its impacts on the environment, public health and safety (Peterson et al, 2011;Rose, 2007;Zhang et al, 2011) as well as social reactions of end-users (Hartley, 2006;Po et al, 2003;Russell and Hampton, 2006).…”

Section: Introductionmentioning

confidence: 99%

A mini-review on the impacts of climate change on wastewater reclamation and reuse

Ngo

Guo

et al. 2014

Science of The Total Environment

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To tackle current water insecurity concerns, wastewater reclamation and reuse has appeared as a promising candidate to conserve the valuable fresh water sources whilst increasing the efficiency of material utilization. The climate change, nevertheless, poses both opportunities and threats to the wastewater reclamation industry. Whereas it elevates the social perception on water-related issues and fosters an emerging water-reuse market, the climate change simultaneously presents adverse impacts on the water reclamation scheme, either directly or indirectly. These effects were studied fragmentally in separate realms. Hence, this paper aims to link these studies for providing a thorough understanding about the consequences of the climate change on the wastewater reclamation and reuse. It initially summarizes contemporary treatment processes and their reuse purposes before carrying out a systematic analysis of available findings.

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“…A stabilization pond is the most simple, reliable and cost-effective process with low maintenance requirements that can be used as an appropriate alternative for wastewater treatment by reducing biological oxygen demand (BOD 5 ) (3). Inappropriate operation of a waste water treatment systems may result in severe environmental and public health problems, as its effluent to a receiving water body can cause or spread various diseases to human beings (4). The performance of a WSP is often affected by various factors such as physical and biological factors (5).…”

Section: Introductionmentioning

confidence: 99%

Prediction of the waste stabilization pond performance using linear multiple regression and multi-layer perceptron neural network: a case study of Birjand, Iran

Khodadadi

Mesdaghinia

Nasseri

et al. 2016

Environ health eng manag

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Background: Data mining (DM) is an approach used in extracting valuable information from environmental processes. This research depicts a DM approach used in extracting some information from influent and effluent wastewater characteristic data of a waste stabilization pond (WSP) in Birjand, a city in Eastern Iran. Methods: Multiple regression (MR) and neural network (NN) models were examined using influent characteristics (pH, Biochemical oxygen demand [BOD 5 ], temperature, chemical oxygen demand [COD], total suspended solids [TSS], total dissolved solid [TDS], electrical conductivity [EC] and turbidity) as the regression input vectors. Models were adjusted to input attributes, effluent BOD 5 (BODout) and COD (CODout). The models performances were estimated by 10-fold external cross-validation. An internal 5-fold cross-validation was also used for the training data set in NN model. The models were compared using regression error characteristic (REC) plot and other statistical measures such as relative absolute error (RAE). Sensitivity analysis was also applied to extract useful knowledge from NN model. Results: NN models (with RAE = 78.71 ± 1.16 for BODout and 83.67 ± 1.35 for CODout) and MR models (with RAE = 84.40% ± 1.07 for BODout and 88.07 ± 0.80 for CODout) indicate different performances and the former was better (P < 0.05) for the prediction of both effluent BOD 5 and COD parameters. For the prediction of CODout the NN model with hidden layer size (H) = 4 and decay factor = 0.75 ± 0.03 presented the best predictive results. For BODout the H and decay factor were found to be 4 and 0.73 ± 0.03, respectively. TDS was found as the most descriptive influent wastewater characteristics for the prediction of the WSP performance. The REC plots confirmed the NN model performance superiority for both BOD and COD effluent prediction. Conclusion: Modeling the performance of WSP systems using NN models along with sensitivity analysis can offer better understanding on exploring the most significant parameters for the prediction of system performance. The findings of this study could build the foundation for prospective work on the characterization of WSP operations and optimization of their performances with a view to conducting statistical approaches.

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Health Effects Associated with Wastewater Treatment, Reuse, and Disposal

Cited by 8 publications

References 34 publications

A human exposome framework for guiding risk management and holistic assessment of recycled water quality

A human exposome framework for guiding risk management and holistic assessment of recycled water quality

A mini-review on the impacts of climate change on wastewater reclamation and reuse

Prediction of the waste stabilization pond performance using linear multiple regression and multi-layer perceptron neural network: a case study of Birjand, Iran

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