scholarly journals KRI DESIGN AND MITIGATION STRATEGY ON WATER DISTRIBUTION OF PERUMDA AIR MINUM MAKASSAR REGIONAL IV: A Case Study

2020 ◽  
Vol 5 (2) ◽  
pp. 70-79
Author(s):  
Yan Herdianzah
Keyword(s):  
Water Distribution ◽  
Warning System ◽  
Mitigation Strategy ◽  
Lower Threshold ◽  
Mitigation Strategies ◽  
Risk Indicators ◽  
Indicator Value ◽  
Preventive Actions ◽  
Distribution Process ◽  
Evaluation Stage

Municipal Waterworks Corporation (PERUMDA AIR MINUM) of Makassar city currently finds many common risks in water distribution process. The risks cause a lot of damage to the piping network system, so that the quantity of distributed water to customers is not optimal. Consequently, it is necessary to handle the risks. This study aims to determine the risks that occur in water distribution process by using Delphi method to identify potential risks. Then, House of Risk (HOR) is used at the risk analysis and evaluation stage to determine mitigation strategies and Key Risk Indicators (KRI) is designed to determine the Early Warning System (EWS). Based on the results known that there are 16 identified risk events and 24 risk agents. Furthermore, a mitigation strategy is carried out on the risk agent by using 18 preventive actions. Based on the selected risk, coded as A24 with the indicator value is Information (Field Team) has lower threshold of 5 hours and upper threshold of 8.19 hours. Water loss has lower threshold of 3,118,047 m3 and upper threshold of 3,283,688 m3. A1 as Expired indicator value has lower threshold of 20 years and upper threshold of 26 years and leaking pipes replacement has lower threshold of 15 years and upper threshold of 16 years 3 months 2 weeks. Further research is expected to be able to design KRI for the risks that do not have EWS yet.

scholarly journals Modelling the impact of COVID-19-related control programme interruptions on progress towards the WHO 2030 target for soil-transmitted helminths

2020 ◽  
Author(s):  
Veronica Malizia ◽  
Federica Giardina ◽  
Carolin Vegvari ◽  
Sumali Bajaj ◽  
Kevin McRae-McKee ◽  
...  
Keyword(s):  
Neglected Tropical Diseases ◽  
Control Programme ◽  
Mitigation Strategy ◽  
Mitigation Strategies ◽  
Preventive Chemotherapy ◽  
Soil Transmitted Helminths ◽  
Individual Based Models ◽  
Control Programmes ◽  
Catch Up ◽  
The Impact

Abstract Background On 1 April 2020, the WHO recommended an interruption of all activities for the control of neglected tropical diseases, including soil-transmitted helminths (STH), in response to the COVID-19 pandemic. This paper investigates the impact of this disruption on the progress towards the WHO 2030 target for STH. Methods We used two stochastic individual-based models to simulate the impact of missing one or more preventive chemotherapy (PC) rounds in different endemicity settings. We also investigated the extent to which this impact can be lessened by mitigation strategies, such as semiannual or community-wide PC. Results Both models show that without a mitigation strategy, control programmes will catch up by 2030, assuming that coverage is maintained. The catch-up time can be up to 4.5 y after the start of the interruption. Mitigation strategies may reduce this time by up to 2 y and increase the probability of achieving the 2030 target. Conclusions Although a PC interruption will only temporarily impact the progress towards the WHO 2030 target, programmes are encouraged to restart as soon as possible to minimise the impact on morbidity. The implementation of suitable mitigation strategies can turn the interruption into an opportunity to accelerate progress towards reaching the target.

The Paradox of Climate Change Mitigation and Adaptation in Danish Housing

2012 ◽  
Vol 37 (4) ◽  
pp. 19-28
Author(s):  
Rob Marsh
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Solar Energy ◽  
Theoretical Study ◽  
Climate Adaptation ◽  
Mitigation Strategy ◽  
Mitigation Strategies ◽  
Space Heating ◽  
Climate Mitigation ◽  
Passive Solar

Climate change means that buildings must greatly reduce their energy consumption. It is however paradoxical that climate mitigation in Denmark has created negative energy and indoor climate problems in housing that may be made worse by climate change. A literature review has been carried out of housing schemes where climate mitigation was sought through reduced space heating demand, and it is shown that extensive problems with overheating exist. A theoretical study of regulative and design strategies for climate mitigation in new build housing has therefore been carried out, and it is shown that reducing space heating with high levels of thermal insulation and passive solar energy results in overheating and a growing demand for cooling. Climate change is expected to reduce space heating and increase cooling demand in housing. An analysis of new build housing using passive solar energy as a climate mitigation strategy has therefore been carried out in relation to future climate change scenarios. It is shown that severe indoor comfort problems can occur, questioning the relevance of passive solar energy as a climate mitigation strategy. In conclusion, a theoretical study of the interplay between climate adaptation and mitigation strategies is carried out, with a cross-disciplinary focus on users, passive design and active technologies. It is shown that the cumulative use of these strategies can create an adaptation buffer, thus eliminating problems with overheating and reducing energy consumption. New build housing should therefore be designed in relation to both current and future climate scenarios to show that the climate mitigation strategies ensure climate adaptation.

scholarly journals Prototyping of Flooding Early Warning System using Internet of Things Technology and Social Media

2018 ◽  
Vol 197 ◽  
pp. 16003
Author(s):  
Aris Haris Rismayana ◽  
Castaka Agus Sugianto ◽  
Ida Bagus Budiyanto
Keyword(s):  
Social Media ◽  
Internet Of Things ◽  
Water Level ◽  
Water Distribution ◽  
Warning System ◽  
Integrated System ◽  
Water Levels ◽  
Prototype System ◽  
The Status ◽  
Internet Of Things Technology

When the rainy season arrives, flooding is a common phenomenon. Almost every street, housing, village, river, even in the city center, wherever floods can occur. One effort to prevent the flooding is to create a floodgate on reservoirs or dams that are used to control the water distribution. The water level at this dam must be checked frequently to anticipate if the water level is at a dangerous level. The inspection of water levels will be very difficult if it must be conducted by humans who must be available in the field at any time. This research aims to create a prototype system that can replace the human role in monitoring the dam water level condition at any time by developing an integrated system between hardware and software using IoT (Internet of Things) technology approach and social media (twitter and telegram). The developed system consists of the height sensor (distance), microcontroller and wifi module, which is placed on the water gate. This system serves to measure the water level at any time and send data in real time to the server. The results of system testing performed shows that when the system is in normal circumstances, the system sends data to the server every minute, and updates the status of water level in twitter every 5 minutes. In case the water level has exceeded a predetermined limit, the system sends data to the server every 5 seconds and passes the warning message to all registered telegram contacts.

Asphaltene Mitigation in Giant Carbonate Abu Dhabi Fields: A Techno-Economic Comparison Between Continuous Injection and Formation Squeeze

2021 ◽  
Author(s):  
Mark Grutters ◽  
Sameer Punnapala ◽  
Dalia Salem Abdallah ◽  
Zaharia Cristea ◽  
Hossam El Din Mohamed El Nagger ◽  
...  
Keyword(s):  
Cost Effective ◽  
Threshold Value ◽  
Field Trials ◽  
Mitigation Strategy ◽  
Operating Conditions ◽  
Mitigation Strategies ◽  
Production Cycle ◽  
Asphaltene Precipitation ◽  
Coiled Tubing ◽  
Continuous Injection

Abstract Asphaltene deposition is a serious and re-occurring flow assurance problem in several of the ADNOC onshore oilfields. Fluids are intrinsically unstable with respect to asphaltene precipitation, and operating conditions are such that severe deposition occurs in the wellbore. Wells in ADNOC are generally not equipped with downhole chemical injection lines for continuous inhibition, and protection of the wells require frequent shut-in and intervention by wireline and coiled tubing to inspect and clean up. Since some of the mature fields are under EOR recovery strategies, like miscible hydrocarbon WAG and CO2 flood, which exacerbates the asphaltene precipitation and deposition problems, a more robust mitigation strategy is required. In this paper the results of two different mitigation strategies will be discussed; continuous injection of asphaltene inhibitor via a capillary line in the tubular and asphaltene inhibitor formation squeeze. Three asphaltene inhibitors from different suppliers were pre-qualified and selected for field trial. Each inhibitor was selected for a formation squeeze in both one horizontal and one vertical well, and one of the inhibitors was applied via thru-tubing capillary string. The field trials showed that continuous injection in remote wells with no real-time surveillance options (e.g. gauges, flow meters) is technically challenging. The continuous injection trial via the capillary string was stopped due to technical challenges. From the six formation squeezes four were confirmed to be effective. Three out of fours squeezes significantly extended the production cycle, from approximately 1.4 to 6 times the normal uninhibited flow period. The most successful squeezes were in the vertical wells. The results of the trial were used to model the economic benefit of formation squeeze, compared to a ‘do-nothing’ approach where the wells are subject to shut-in and cleanup once the production rates drop below a threshold value. The model clearly indicates that the squeezes applied in ADNOC Onshore are only cost-effective if it extends the normal flow period by approximately three times. However, a net gain can be achieved already if the formation squeeze extends the flow cycle by 15 to 20%, due to reduction of shut-in days required for intervention. Therefore, the results in this paper illustrate that an asphaltene inhibitor formation squeeze can be an attractive mitigation strategy, both technically and economically.

scholarly journals Impacts of climate mitigation strategies in the energy sector on global land use and carbon balance

2016 ◽  
Author(s):  
Kerstin Engström ◽  
Mats Lindeskog ◽  
Stefan Olin ◽  
John Hassler ◽  
Benjamin Smith
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Carbon Balance ◽  
Global Economy ◽  
Fossil Fuels ◽  
Carbon Tax ◽  
Mitigation Strategy ◽  
Mitigation Strategies ◽  
Terrestrial Biosphere ◽  
Global Carbon

Abstract. Reducing greenhouse gas emissions to limit climate change-induced damage to the global economy and secure the livelihoods of future generations requires ambitious mitigation strategies. The introduction of a global carbon tax on fossil fuels is tested here as a mitigation strategy to reduce atmospheric CO2 concentrations and radiative forcing. Taxation of fossil fuels potentially leads to changed composition of energy sources, including a larger relative contribution from bioenergy. Further, the introduction of a mitigation strategy reduces climate change-induced damage to the global economy, and thus can indirectly affect consumption patterns and investments in agricultural technologies and yield enhancement. Here we assess the implications of changes in bioenergy demand as well as the indirectly caused changes in consumption and crop yields for global and national cropland area and terrestrial biosphere carbon balance. We apply a novel integrated assessment modelling framework, combining a climate-economy model, a socio-economic land-use model and an ecosystem model. We develop reference and mitigation scenarios based on the Shared Socio-economic Pathways (SSPs) framework. Taking emissions from the land-use sector into account, we find that the introduction of a global carbon tax on the fossil fuel sector is an effective mitigation strategy only for scenarios with low population development and strong sustainability criteria (SSP1 "Taking the green road"). For scenarios with high population growth, low technological development and bioenergy production the high demand for cropland causes the terrestrial biosphere to switch from being a carbon sink to a source by the end of the 21st century.

On the Applicability of Analytical Supply Chain Disruption Models for Selecting the Optimum Contingency Strategies for Electronic Supply Chain Disruption Management: A Comparison With Simulation

2014 ◽  
Author(s):  
Hannah Allison ◽  
Peter Sandborn ◽  
Bo Eriksson
Keyword(s):  
Supply Chain ◽  
Mitigation Strategy ◽  
Mitigation Strategies ◽  
Analytical Models ◽  
Supply Chain Disruption ◽  
Simulation Based ◽  
Disruption Mitigation ◽  
The Impact ◽  
Selection Of

Due to the nature of the manufacturing and support activities associated with long life cycle products, the parts that products required need to be dependably and consistently available. However, the parts that comprise long lifetime products are susceptible to a variety of supply chain disruptions. In order to minimize the impact of these unavoidable disruptions to production, manufacturers can implement proactive mitigation strategies. Two mitigation strategies in particular have been proven to decrease the penalty costs associated with disruptions: second sourcing and buffering. Second sourcing involves selecting two distinct suppliers from which to purchase parts over the life of the part’s use within a product or organization. Second sourcing reduces the probability of part unavailability (and its associated penalties), but at the expense of qualification and support costs for multiple suppliers. An alternative disruption mitigation strategy is buffering (also referred to as hoarding). Buffering involves stocking enough parts in inventory to satisfy the forecasted part demand (for both manufacturing and maintenance requirements) for a fixed future time period so as to offset the impact of disruptions. Careful selection of the mitigation strategy (second sourcing, buffering, or a combination of the two) is key, as it can dramatically impact a part’s total cost of ownership. This paper studies the effectiveness of traditional analytical models compared to a simulation-based approach for the selection of an optimal disruption mitigation strategy. A verification case study was performed to check the accuracy and applicability of the simulation-based model. The case study results show that the simulation model is capable of replicating results from operations research models, and overcomes significant scenario restrictions that limit the usefulness of analytical models as decision-making tools. Four assumptions, in particular, severely limit the realism of most analytical models but do not constrain the simulation-based model. These limiting assumptions are: 1) no fixed costs associated with part orders, 2) infinite-horizon, 3) perfectly reliable backup supplier, and 4) disruptions lasting full ordering periods (as opposed to fractional periods).

scholarly journals Evaluation of Select Sensors for Real-Time Monitoring of Escherichia coli in Water Distribution Systems

2011 ◽  
Vol 77 (8) ◽  
pp. 2813-2816 ◽  
Author(s):  
Syreeta L. Miles ◽  
Ryan G. Sinclair ◽  
Mark R. Riley ◽  
Ian L. Pepper
Keyword(s):  
Escherichia Coli ◽  
Real Time ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Warning System ◽  
Quality Changes ◽  
Microbial Water Quality ◽  
Content Type ◽  
E Coli

ABSTRACTThis study evaluated real-time sensing ofEscherichia colias a microbial contaminant in water distribution systems. Most sensors responded to increasedE. coliconcentrations, showing that select sensors can detect microbial water quality changes and be utilized as part of a contaminant warning system.

The use of climatologies and Bayesian models to link observations to outcomes; an example from the Torres Strait

2014 ◽  
Vol 16 (5) ◽  
pp. 1041-1049 ◽  
Author(s):  
Scott Bainbridge ◽  
Ray Berkelmans
Keyword(s):  
Coral Bleaching ◽  
Early Warning System ◽  
Bayesian Models ◽  
Monitoring Program ◽  
Warning System ◽  
Risk Indicators ◽  
Time Data ◽  
Real Time Data ◽  
Torres Strait ◽  
Ocean Monitoring

In response to coral bleaching in the Torres Strait in 2009–10 an ocean monitoring program was established. This included a bleaching early warning system that uses real time data, climatologies and Bayesian models to deliver risk indicators linked to management outcomes.

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