scholarly journals CASE STUDY ON EVALUATION OF FUNCTION OF URBAN DRAINAGE TREATMENT FACILITY

2007 ◽  
Vol 35 ◽  
pp. 307-313
Author(s):  
Soichiro TOYODA ◽  
Kiyoshi YAMADA ◽  
Tsuyoshi IMABORI ◽  
Yuichi NAGAOKA ◽  
Yasuhiro MURATA
Author(s):  
Farhad Sakhaee

Abstract: Life cycle assessment (LCA) is a tool to evaluate environmental impacts based on products of a process. This research is a case study of wastewater treatment facilities of ERTC (Environmental Resources Training Center), SIUE University, based on available data for two semi-annual sludge quantities (year 2015) from sludge management report. The aim of this study is to compare set of possibilities for a wastewater treatment facility at ERTC. The simulation has been done through SimaPro model. Electricity and methane were considered and the cumulative weight of their impacts has been investigated. Total solids for two semi-annual sludge has been fed to the model in kilogram and different production (electricity and methane) configuration were investigated. The most plausible configuration based on the cumulative environmental impact proposed as best practical solution.


2018 ◽  
Vol 13 (3) ◽  
pp. 583-588
Author(s):  
A. Kadava ◽  
S. Murthy ◽  
A. R. Shaw

Abstract In today's sustainability market where there are several tools to rate and grade the ‘green’ level of modern day infrastructure, the multi-tiered credit rating system called Envision provides an holistic approach to tackle the issue. Developed by the Institute for Sustainable Infrastructure (ISI), Envision has around 60 sustainability credits to score points in order to reach a recognized level of achievement. Life cycle assessment (LCA) is another tool that is gaining industry-wide acceptance for assessing potential environmental impacts. LCA is recognized by Envision as a good way to assess several of the available credits in their system. An LCA performed for Blue Plains Advanced Wastewater Treatment Facility (AWTF), Washington, D.C., USA was used as an example case study to show how credits could be calculated for a used water treatment facility.


2015 ◽  
Vol 19 (10) ◽  
pp. 4215-4228 ◽  
Author(s):  
P. Tokarczyk ◽  
J. P. Leitao ◽  
J. Rieckermann ◽  
K. Schindler ◽  
F. Blumensaat

Abstract. Modelling rainfall–runoff in urban areas is increasingly applied to support flood risk assessment, particularly against the background of a changing climate and an increasing urbanization. These models typically rely on high-quality data for rainfall and surface characteristics of the catchment area as model input. While recent research in urban drainage has been focusing on providing spatially detailed rainfall data, the technological advances in remote sensing that ease the acquisition of detailed land-use information are less prominently discussed within the community. The relevance of such methods increases as in many parts of the globe, accurate land-use information is generally lacking, because detailed image data are often unavailable. Modern unmanned aerial vehicles (UAVs) allow one to acquire high-resolution images on a local level at comparably lower cost, performing on-demand repetitive measurements and obtaining a degree of detail tailored for the purpose of the study. In this study, we investigate for the first time the possibility of deriving high-resolution imperviousness maps for urban areas from UAV imagery and of using this information as input for urban drainage models. To do so, an automatic processing pipeline with a modern classification method is proposed and evaluated in a state-of-the-art urban drainage modelling exercise. In a real-life case study (Lucerne, Switzerland), we compare imperviousness maps generated using a fixed-wing consumer micro-UAV and standard large-format aerial images acquired by the Swiss national mapping agency (swisstopo). After assessing their overall accuracy, we perform an end-to-end comparison, in which they are used as an input for an urban drainage model. Then, we evaluate the influence which different image data sources and their processing methods have on hydrological and hydraulic model performance. We analyse the surface runoff of the 307 individual subcatchments regarding relevant attributes, such as peak runoff and runoff volume. Finally, we evaluate the model's channel flow prediction performance through a cross-comparison with reference flow measured at the catchment outlet. We show that imperviousness maps generated from UAV images processed with modern classification methods achieve an accuracy comparable to standard, off-the-shelf aerial imagery. In the examined case study, we find that the different imperviousness maps only have a limited influence on predicted surface runoff and pipe flows, when traditional workflows are used. We expect that they will have a substantial influence when more detailed modelling approaches are employed to characterize land use and to predict surface runoff. We conclude that UAV imagery represents a valuable alternative data source for urban drainage model applications due to the possibility of flexibly acquiring up-to-date aerial images at a quality compared with off-the-shelf image products and a competitive price at the same time. We believe that in the future, urban drainage models representing a higher degree of spatial detail will fully benefit from the strengths of UAV imagery.


2017 ◽  
Vol 35 (5_suppl) ◽  
pp. 177-177
Author(s):  
Francinne Lawrence ◽  
Brandon Reeves

177 Background: The Institute of Medicine report, From Cancer Patient to Cancer Survivor: Lost in Transition (2005) identified gaps in services for cancer patients upon completion of their initial phase of treatment. In response to these needs, the Commission on Cancer (CoC) (2015) defined survivorship as an official phase of treatment along the cancer care continuum. This case study examined the process of developing an integrative survivorship program that introduces complementary health approaches within a conventional oncology setting using limited financial resources. Methods: A case study design was applied to examine using complementary health approaches as the foundation of a newly implemented cancer survivorship program. A regional CoC accredited community was the research site. Data was collected from: empirical literature, a self-report inventory completed by participants, and archival data and was interpreted using the logic model framework. Results: Findings revealed that using a survivorship model with complementary health approaches as its foundation within a conventional cancer treatment facility resulted in positive outcomes for cancer survivors. Seven core concepts were identified as significant to the process of developing an integrative program. Findings also showed that using a volunteer-staffed program was an effective implementation plan within a lean economic environment. Additionally, this case demonstrated that complementary components resulted in self-reported improvements among cancer survivors in mood, pain, social connectedness, stress, fatigue, and coping capacity. Conclusions: Within this case study, there were seven elements significant to the process of successfully developing and implementing an integrative survivorship program within a conventional medical cancer setting. A cancer survivorship program that integrates complementary health approaches within a conventional cancer treatment facility appears efficacious in assisting cancer survivors in addressing long-term and late-onset side effects of cancer treatment. Using a volunteer-staffed program model was effective for implementing the program within a lean economic environment.


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