scholarly journals Image Analysis for Spectroscopic Elemental Dot Maps: P, Al, and Ca Associations in Water Treatment Residuals as a Case Study

2021 ◽  
Vol 2 ◽  
Author(s):  
Iris Zohar ◽  
Peleg Haruzi
Keyword(s):  
Image Analysis ◽  
Water Treatment ◽  
Quantitative Information ◽  
Dairy Wastewater ◽  
Chemical Behavior ◽  
Water Treatment Residuals ◽  
Environmental Implications ◽  
Water Pretreatment ◽  
Working Procedure

The associations of elements upon a heterogeneous surface may control nutrients or pollutants sorption and release, having agricultural and environmental implications. This chemical behavior can be elucidated by spatial spectroscopy, followed by image analysis. The purpose of this paper is to present a working procedure for image analysis using the free program ImageJ that can be applied for dot maps of three or more elements produced by solid-state spectroscopy. Detailed step-by-step instructions lead to visual and quantitative information regarding elements associations. The working procedure was demonstrated for P, Al and Ca dot maps produced by scanning electron microscopy energy dispersive spectroscopy (SEM-EDS) for surfaces of Al-based water treatment residuals (Al-WTRs), a by-product of drinking water pretreatment with alum coagulant. Al-WTR was reused to adsorb the macro-nutrient P from polluted soil leach and dairy wastewater (WW). Surficial P onto Al-WTR, SL-Al/O-WTR, and WW-Al/O-WTR (0.56, 0.93, and 2.15%, respectively) displayed sorption dynamics, mostly with Al and Ca. Quantification of the spatial proportions of individual elements and their associations indicated P-Al pool > P-Ca pool (45–24% and 17–7%, respectively). Upon introducing P-rich dairy wastewater, the behavior of P sorption by Al and Ca changed and became more clustered. A ternary phase of P-Al-Ca covered 38% of the area with signal, compared to 4.3 and 4.6% of the area in Al-WTR and SL-Al-WTR, where it was limited to particles edges only. Thus, the presented protocol may promote employing image analysis for geochemical applications, elucidating chemical behavior and affinities. Advantages and pitfalls are discussed.

Making Phosphorus Fertilizer from Dairy Wastewater with Aluminum Water Treatment Residuals

2019 ◽  
Vol 83 (3) ◽  
pp. 649-657 ◽  
Author(s):  
M. Iggy Litaor ◽  
Shai Schechter ◽  
Iris Zohar ◽  
Michael S. Massey ◽  
James A. Ippolito
Keyword(s):  
Water Treatment ◽  
Dairy Wastewater ◽  
Phosphorus Fertilizer ◽  
Water Treatment Residuals

scholarly journals BIAFLOWS: A collaborative framework to reproducibly deploy and benchmark bioimage analysis workflows

2019 ◽  
Author(s):  
Ulysse Rubens ◽  
Romain Mormont ◽  
Lassi Paavolainen ◽  
Volker Bäcker ◽  
Gino Michiels ◽  
...  
Keyword(s):  
Image Analysis ◽  
Software Tool ◽  
Quantitative Information ◽  
Automated Image Analysis ◽  
Complete Case ◽  
Nuclei Segmentation ◽  
Learning Techniques ◽  
Bioimage Analysis ◽  
Reproducible Manner

AbstractAutomated image analysis has become key to extract quantitative information from scientific microscopy bioimages, but the methods involved are now often so refined that they can no longer be unambiguously described using written protocols. We introduce BIAFLOWS, a software tool with web services and a user interface specifically designed to document, interface, reproducibly deploy, and benchmark image analysis workflows. BIAFLOWS allows image analysis workflows to be compared fairly and shared in a reproducible manner, safeguarding research results and promoting the highest quality standards in bioimage analysis. A curated instance of BIAFLOWS is available online; it is currently populated with 34 workflows that can be triggered to process image datasets illustrating 15 common bioimage analysis problems organized in 9 major classes. As a complete case study, the open benchmarking of 7 nuclei segmentation workflows, including classical and deep learning techniques, was performed on this online instance. All the results presented can be reproduced online.

Anaerobic/Aerobic Treatment of Piggery and Cheese-Dairy Wastewater – A Case Study

1989 ◽  
Vol 21 (12) ◽  
pp. 1861-1864 ◽  
Author(s):  
J. B. le Hy ◽  
B. Montuelle ◽  
J. Coillard
Keyword(s):  
Dairy Wastewater ◽  
Aerobic Treatment

scholarly journals Co-creating narratives for WEF nexus governance: a Quantitative Story-Telling case study in the Canary Islands

2021 ◽  
Author(s):  
Violeta Cabello ◽  
David Romero ◽  
Ana Musicki ◽  
Ângela Guimarães Pereira ◽  
Baltasar Peñate
Keyword(s):  
Water Resources ◽  
Canary Islands ◽  
Sustainable Use ◽  
Quantitative Information ◽  
Practical Case ◽  
Story Telling ◽  
Practical Applications ◽  
Narrative Assessment ◽  
Alternative Water

AbstractThe literature on the water–energy–food nexus has repeatedly signaled the need for transdisciplinary approaches capable of weaving the plurality of knowledge bodies involved in the governance of different resources. To fill this gap, Quantitative Story-Telling (QST) has been proposed as a science for adaptive governance approach that aims at fostering pluralistic and reflexive research processes to overcome narrow framings of water, energy, and food policies as independent domains. Yet, there are few practical applications of QST and most run on a pan-European scale. In this paper, we apply the theory of QST through a practical case study regarding non-conventional water sources as an innovation for water and agricultural governance in the Canary Islands. We present the methods mixed to mobilize different types of knowledge and analyze interconnections between water, energy, and food supply. First, we map and interview relevant knowledge holders to elicit narratives about the current and future roles of alternative water resources in the arid Canarian context. Second, we run a quantitative diagnosis of nexus interconnections related to the use of these resources for irrigation. This analysis provides feedback to the narratives in terms of constraints and uncertainties that might hamper the expectations posed on this innovation. Thirdly, the mixed analysis is used as fuel for discussion in participatory narrative assessment workshops. Our experimental QST process succeeded in co-creating new knowledge regarding the water–energy–food nexus while addressing some relational and epistemological uncertainties in the development of alternative water resources. Yet, the extent to which mainstream socio-technical imaginaries surrounding this innovation were transformed was rather limited. We conclude that the potential of QST within sustainability place-based research resides on its capacity to: (a) bridge different sources of knowledge, including local knowledge; (b) combine both qualitative and quantitative information regarding the sustainable use of local resources, and (c) co-create narratives on desirable and viable socio-technical pathways. Open questions remain as to how to effectively mobilize radically diverse knowledge systems in complex analytical exercises where everyone feels safe to participate.

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