scholarly journals Synergistic benefits between stormwater management measures and a new pricing system for stormwater in the City of Hamburg

2017 ◽  
Vol 76 (6) ◽  
pp. 1523-1534 ◽  
Author(s):  
N. P. Bertram ◽  
A. Waldhoff ◽  
G. Bischoff ◽  
J. Ziegler ◽  
F. Meinzinger ◽  
...  

Hamburg is a growing metropolitan city. The increase in sealed surfaces of about 0.36% per year and the subsequent increased runoff impacts on the city's wastewater infrastructure. Further potential risks to the drainage infrastructure arise also from effects of climate change, e.g. increased intensity and frequency of heavy rainfalls. These challenges were addressed in the Rain InfraStructure Adaption (RISA) project conducted 2009–2015 by HAMBURG WASSER and the State Ministry for Environment and Energy, supported by several municipal stakeholders. RISA addressed intensifying conflicts in the context of urban development and stormwater management at that time. Major results of the project are improvements and recommendations for adequate consideration of stormwater management issues during urban planning as well as new funding mechanisms for stormwater management measures. The latter topic resulted in the introduction of a separated stormwater charge based on the amount of sealed area connected to the sewer system of each property. For both undertakings – the RISA project and the introduction of the separated stormwater charge – a novel, comprehensive, digital database was built. Today, these geographical information system (GIS)-based data offer various scale-independent analysis and information opportunities, which facilitate the day-to-day business of HAMBURG WASSER and stormwater management practice in Hamburg.

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1171 ◽  
Author(s):  
Mitja Janža ◽  
Joerg Prestor ◽  
Simona Pestotnik ◽  
Brigita Jamnik

The assurance of drinking water supply is one of the biggest emerging global challenges, especially in urban areas. In this respect, groundwater and its management in the urban environment are gaining importance. This paper presents the modeling of nitrogen load from the leaky sewer system and from agriculture and the impact of this pressure on the groundwater quality (nitrate concentration) in the urban aquifer located beneath the City of Ljubljana. The estimated total nitrogen load in the model area of 58 km2 is 334 ton/year, 38% arising from the leaky sewer system and 62% from agriculture. This load was used as input into the groundwater solute transport model to simulate the distribution of nitrate concentration in the aquifer. The modeled nitrate concentrations at the observation locations were found to be on average slightly lower (2.7 mg/L) than observed, and in general reflected the observed contamination pattern. The ability of the presented model to relate and quantify the impact of pressures from different contamination sources on groundwater quality can be beneficially used for the planning and optimization of groundwater management measures for the improvement of groundwater quality.


2016 ◽  
Author(s):  
◽  
Windy Beck ◽  

In 1999 the City of Portland (City) began to require that stormwater management facilities (SMF) be built when private property is newly developed or redeveloped (City Code Chapter 17.38). Proper maintenance and upkeep of SMFs is essential to ensuring they function appropriately. The City’s Maintenance Inspection Program (MIP) is tasked with inspecting stormwater management facilities on private properties in order to ensure that they are being properly operated and maintained and to meet provisions of the City’s NPDES Municipal Separated Storm Sewer System (MS4) permit. Greenroofs are one type of SMF that are installed to satisfy this requirement. Understanding the long-term maintenance needs of a greenroof is essential to reaching MIP goals established by City Code and the MS4 permit. Data collection occurred between November 2011 and May 2013 at private properties in Portland, Oregon during routine maintenance inspections of stormwater management facilities for the City’s Maintenance Inspection Program (MIP).


2021 ◽  
Author(s):  
Parto Peyvandisani

These days engineers reduce the adverse effects of urbanizations using Low Impact Developments (LID) on their municipal design. Etobicoke Exfiltration System (EES) as a LID Best Management Practice (BMP) was demonstrated in 1993 and is being implemented at a hospital rehabilitation project in Toronto. To evaluate EES through modeling, a methodology was used to implement EES in SWMM 5.1.012, and the outcome was applied for a case study in Barrie. The primary components of EES include inlets, void space storage of granular material laid beneath the main sewer system. These components were modeled by orifices and a storage unit to simulate the exfiltration of water from the stone trench into the surrounding native soil. The model was applied in a case study in Barrie regarding hydrologic performance analysis. The results indicated a significant reduction of runoff volume and peak flow reduction for a single design storm. However, some challenges revealed by these results regarding the case study


2021 ◽  
Author(s):  
Parto Peyvandisani

These days engineers reduce the adverse effects of urbanizations using Low Impact Developments (LID) on their municipal design. Etobicoke Exfiltration System (EES) as a LID Best Management Practice (BMP) was demonstrated in 1993 and is being implemented at a hospital rehabilitation project in Toronto. To evaluate EES through modeling, a methodology was used to implement EES in SWMM 5.1.012, and the outcome was applied for a case study in Barrie. The primary components of EES include inlets, void space storage of granular material laid beneath the main sewer system. These components were modeled by orifices and a storage unit to simulate the exfiltration of water from the stone trench into the surrounding native soil. The model was applied in a case study in Barrie regarding hydrologic performance analysis. The results indicated a significant reduction of runoff volume and peak flow reduction for a single design storm. However, some challenges revealed by these results regarding the case study


2006 ◽  
Vol 1 (1) ◽  
Author(s):  
M. Becker ◽  
G. Geretshauser ◽  
B. Spengler ◽  
H. Sieker

In order, in the course of remediating the Emscher river system, to reinforce the ecological potential and the municipal landscaping benefits of the new bodies of water and to limit the costs for technical stormwater management measures, great importance has been attached to coping with stormwater via surface seepage. The potential of such measures depends on many different factors of influence. Consequently it makes sense to prepare a systematic classification for checking and evaluating the use of decentral stormwater management systems. When sufficient data is available, geographical information systems can support the planning of stormwater management measures. In the past, there has been a lack of across-the-board data and evaluations as well as of information on the peripheral conditions and factors resulting from the structure of individual built-up areas. This gap will be closed with the stormwater management information system. The data pool that has been built up contains statements on all the peripheral conditions and factors relevant for deciding on the type and potential of close-to-nature stormwater management methods. The stormwater management information system makes it possible for concepts covering complete catchment areas to be developed and their effectiveness to be evaluated via one single system.


2020 ◽  
pp. 7-9

Examination of (35) samples of spices obtained from local markets for the purposes of isolating and diagnosing fungi growing on them. Anine isolates belonging to 13 different types of fungi were diagnosed by the standard dilution method with three replications, and it has been observed that the most samples from which the fungi were isolated is ginger. It was found that the most isolated species of fungi are Penicillium, Aspergillus, and Rizupes spp. A rare colony of fungi was observed, which indicates contamination of the spices under study with the fungus. The present study aims to identify the potential risks of the presence of fungi in spices and what may result from mycotoxins that may be the cause of many chronic diseases as a result of using these spices in large quantities. The study recommends limiting the use of contaminated spices, especially ginger, in preparing food and its uses, in addition to other types such as cloves, black and white pepper, and other types of spices found in the local markets, especially the expired ones.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Ariel Salgado ◽  
Weixin Li ◽  
Fahad Alhasoun ◽  
Inés Caridi ◽  
Marta Gonzalez

AbstractWe present an urban science framework to characterize phone users’ exposure to different street context types based on network science, geographical information systems (GIS), daily individual trajectories, and street imagery. We consider street context as the inferred usage of the street, based on its buildings and construction, categorized in nine possible labels. The labels define whether the street is residential, commercial or downtown, throughway or not, and other special categories. We apply the analysis to the City of Boston, considering daily trajectories synthetically generated with a model based on call detail records (CDR) and images from Google Street View. Images are categorized both manually and using artificial intelligence (AI). We focus on the city’s four main racial/ethnic demographic groups (White, Black, Hispanic and Asian), aiming to characterize the differences in what these groups of people see during their daily activities. Based on daily trajectories, we reconstruct most common paths over the street network. We use street demand (number of times a street is included in a trajectory) to detect each group’s most relevant streets and regions. Based on their street demand, we measure the street context distribution for each group. The inclusion of images allows us to quantitatively measure the prevalence of each context and points to qualitative differences on where that context takes place. Other AI methodologies can further exploit these differences. This approach presents the building blocks to further studies that relate mobile devices’ dynamic records with the differences in urban exposure by demographic groups. The addition of AI-based image analysis to street demand can power up the capabilities of urban planning methodologies, compare multiple cities under a unified framework, and reduce the crudeness of GIS-only mobility analysis. Shortening the gap between big data-driven analysis and traditional human classification analysis can help build smarter and more equal cities while reducing the efforts necessary to study a city’s characteristics.


Author(s):  
He-ran Wang ◽  
Meng-chun Gong ◽  
Jing-Yuan Sun ◽  
Jian Sun ◽  
Yi Guo ◽  
...  

Abstract Background Novel coronavirus pneumonia has been the most serious worldwide public health emergency since being identified in December 2019. The rapid spread of the pandemic and the strong human to human infection rate of COVID-19 poses a great prevention challenge. There has been an explosion in the number of confirmed cases in several cities near Wuhan, including the highest in Honghu, Jinzhou. Owing to the limited admission capacity and medical resources, increasing numbers of suspected cases of COVID-19 infection were difficult to confirm or treat. Case presentation Following the arrival of the Guangdong medical aid team on 11 February, 2020, COVID-19 care in Honghu saw changes after a series of solutions were implemented based on the ‘Four-Early’ and ‘Four-centralization’ management measures. The ‘Four-Early’ measures are: early detection, early reporting, early quarantine, and early treatment for meeting an urgent need like the COVID-19 pandemic. ‘Four-centralization’ refers to the way in which recruited medical teams can make full use of medical resources to give patients the best treatment. These solutions successfully increased the recovery rate and reduced mortality among patients with COVID-19 in Honghu. Conclusions This management strategy is called the ‘Honghu Model’ which can be generalized to enable the prevention and management of COVID-19 worldwide.


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