Water resource quality effects on water treatment costs: An analysis for the Brazilian case

2021 ◽  
Vol 188 ◽  
pp. 107134
Author(s):  
André Felipe Danelon ◽  
Fernanda Gaudio Augusto ◽  
Humberto Francisco Silva Spolador
1974 ◽  
Vol 6 (2) ◽  
pp. 65-71 ◽  
Author(s):  
Harold B. Jones ◽  
Waldon R. Kerns

Poultry products are an important source of agricultural income in Georgia and other southeastern states. Yet, the waste from poultry operations can lower water quality unless ways are found to reduce quantities discharged into streams and waterways. Present regulations require that all sewage discharged from processing and rendering plants have the equivalent of secondary stage treatment as defined by conventional biological standards [4]. More stringent regulations that would completely eliminate discharge of pollutants into waterways have been proposed [10]. Poultry processing and rendering plants must therefore adopt more advanced in-plant processes or private treatment systems or utilize public systems to achieve higher levels of waste water treatment in future years.


2015 ◽  
Vol 51 (11) ◽  
pp. 8741-8756 ◽  
Author(s):  
Matthew T. Heberling ◽  
Christopher T. Nietch ◽  
Hale W. Thurston ◽  
Michael Elovitz ◽  
Kelly H. Birkenhauer ◽  
...  

2016 ◽  
Vol 113 (32) ◽  
pp. 9117-9122 ◽  
Author(s):  
Robert I. McDonald ◽  
Katherine F. Weber ◽  
Julie Padowski ◽  
Tim Boucher ◽  
Daniel Shemie

Urban water systems are impacted by land use within their source watersheds, as it affects raw water quality and thus the costs of water treatment. However, global estimates of the effect of land cover change on urban water-treatment costs have been hampered by a lack of global information on urban source watersheds. Here, we use a unique map of the urban source watersheds for 309 large cities (population > 750,000), combined with long-term data on anthropogenic land-use change in their source watersheds and data on water-treatment costs. We show that anthropogenic activity is highly correlated with sediment and nutrient pollution levels, which is in turn highly correlated with treatment costs. Over our study period (1900–2005), median population density has increased by a factor of 5.4 in urban source watersheds, whereas ranching and cropland use have increased by a factor of 3.4 and 2.0, respectively. Nearly all (90%) of urban source watersheds have had some level of watershed degradation, with the average pollutant yield of urban source watersheds increasing by 40% for sediment, 47% for phosphorus, and 119% for nitrogen. We estimate the degradation of watersheds over our study period has impacted treatment costs for 29% of cities globally, with operation and maintenance costs for impacted cities increasing on average by 53 ± 5% and replacement capital costs increasing by 44 ± 14%. We discuss why this widespread degradation might be occurring, and strategies cities have used to slow natural land cover loss.


2020 ◽  
Vol 27 (30) ◽  
pp. 37626-37644
Author(s):  
Hafiza Samina Tehreem ◽  
Muhammad Khalid Anser ◽  
Abdelmohsen A. Nassani ◽  
Muhammad Moinuddin Qazi Abro ◽  
Khalid Zaman

2017 ◽  
Vol 03 (04) ◽  
pp. 1750006 ◽  
Author(s):  
Travis Warziniack ◽  
Chi Ho Sham ◽  
Robert Morgan ◽  
Yasha Feferholtz

This paper studies the relationship between forest cover and drinking water chemical treatment costs using land use data and a survey by the American Water Works Association (AWWA). The survey gathers cost and water quality data from 37 treatment plants in forested ecoregions of the United States. We model the effect of forest conversion on the cost of water treatment using a two-step process. First, we examine the effect of changes in land use on water quality through an ecological production function. Second, we examine the effect of changes in water quality on cost of treatment through an economic benefits function. We find a negative relationship between forest cover and turbidity, but no relationship between forest cover and total organic carbon (TOC). Increasing forest cover in a watershed by 1% reduces turbidity by 3%, and increasing development by 1% in a watershed increases turbidity by 3%. The impact of development is more consistent across models than the impact of forest cover. We also find a large impact on turbidity from grazing in the watershed. Our economic benefits function shows a 1% increase in turbidity increases water treatment costs by 0.19%, and 1% increase in TOC increases water treatment costs by 0.46%. TOC has a clearer impact on costs than turbidity, which becomes insignificant when we omit one of our observations with high turbidity.


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