scholarly journals Eliciting User Requirement for Flood Monitoring Application

2021 ◽  
Vol 2129 (1) ◽  
pp. 012024
Author(s):  
S E Mohamed ◽  
N A Ismail ◽  
A Mukthar ◽  
M S Hafiz
Keyword(s):  
Weather Forecast ◽  
User Requirement ◽  
User Perspective ◽  
Management Efficiency ◽  
User Attitudes ◽  
Flood Monitoring ◽  
Property Destruction ◽  
User Knowledge ◽  
The Impact ◽  
Monitoring Application

Abstract Flood disaster is the most disastrous hydrological event that can lead to property destruction and loss of lives. One of the efforts to mitigate the impact is by providing an advance technology in monitoring and event alert. The flood monitoring application is developed to provide real-time weather forecast and disaster warnings. To increase disaster management efficiency, we conducted this research to identify the needs and requirements for a flood monitoring application. The study is mainly focusing on user perspective and preferences. The participant of this survey includes the authorities, non-government agency (NGO) and public. The participant is given a set of questionnaires containing thirteen questions, including the combination of open-ended and close-ended questions covering three sub-topics: user background, user experience, and user knowledge. List of important flood monitoring application features based on user requirements analysis and empathy map has been used to visualize user attitudes and behaviours.

scholarly journals Risk analysis and strategic planning on bridge construction works at the toll road procurement projects in Central Java Province

2018 ◽  
Vol 49 ◽  
pp. 02020
Author(s):  
Hery Suliantoro ◽  
Nurul Fitriani ◽  
Bagus Hario Setiadji
Keyword(s):  
Avoidance Response ◽  
Construction Projects ◽  
Construction Project ◽  
Weather Forecast ◽  
Development Project ◽  
Response Strategy ◽  
Bridge Construction ◽  
Risk Response ◽  
Toll Road ◽  
The Impact

Risk is a condition caused by uncertainty. Risks will occur on any construction project, including bridge construction projects. Efforts that can be taken to minimize the impact of these risks are to engage in risk management activities. This research was conducted on bridge construction work on toll road procurement project in Pejagan-Pemalang, Pemalang-Batang and Salatiga-Kertasura. The purpose of this research is to analyze the risk of bridge development project in toll road project using Risk Breakdown Structure (RBS) method and then the result as database in discussing risk response strategy. The bridge construction project has 36 risks that are divided into six groups: materials and equipment, design, human resources, finance, management, nature and environmental conditions. Bad weather risks are the higest risk and seasonal risk causing temporary work stoppages. This risk-response strategy is avoidance. Short-term avoidance response strategy is to add shift workers, install tents and add additives in the acceleration of the process of maturation of concrete. The long-term avoidance response strategy is to evaluate and rearrange the work schedule by considering the weather forecast report.

scholarly journals Toward a Weather-Based Forecasting System for Fire Blight and Downy Mildew

Atmosphere ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 484 ◽  
Author(s):  
Ana Firanj Sremac ◽  
Branislava Lalić ◽  
Milena Marčić ◽  
Ljiljana Dekić
Keyword(s):  
Downy Mildew ◽  
Fire Blight ◽  
Meteorological Data ◽  
Weather Prediction ◽  
Weather Forecast ◽  
Atmospheric Model ◽  
Plasmopara Viticola ◽  
Forecasting System ◽  
Nwp Model ◽  
The Impact

The aim of this research is to present a weather-based forecasting system for apple fire blight (Erwinia amylovora) and downy mildew of grapevine (Plasmopara viticola) under Serbian agroecological conditions and test its efficacy. The weather-based forecasting system contains Numerical Weather Prediction (NWP) model outputs and a disease occurrence model. The weather forecast used is a product of the high-resolution forecast (HRES) atmospheric model by the European Centre for Medium-Range Weather Forecasts (ECMWF). For disease modelling, we selected a biometeorological system for messages on the occurrence of diseases in fruits and vines (BAHUS) because it contains both diseases with well-known and tested algorithms. Several comparisons were made: (1) forecasted variables for the fifth day are compared against measurements from the agrometeorological network at seven locations for three months (March, April, and May) in the period 2012–2018 to determine forecast efficacy; (2) BAHUS runs driven with observed and forecast meteorology were compared to test the impact of forecasted meteorological data; and (3) BAHUS runs were compared with field disease observations to estimate system efficacy in plant disease forecasts. The BAHUS runs with forecasted and observed meteorology were in good agreement. The results obtained encourage further development, with the goal of fully utilizing this weather-based forecasting system.

scholarly journals QuikSCAT Impacts on Coastal Forecasts and Warnings: Operational Utility of Satellite Ocean Surface Vector Wind Data

2008 ◽  
Vol 23 (5) ◽  
pp. 878-890 ◽  
Author(s):  
Ralph F. Milliff ◽  
Peter A. Stamus
Keyword(s):  
Survey Design ◽  
Weather Prediction ◽  
Winter Season ◽  
Late Summer ◽  
Weather Forecast ◽  
Ocean Surface ◽  
Site Visit ◽  
Island States ◽  
The Impact ◽  
Vector Wind

Abstract This study reports on the operational utility of ocean surface vector wind (SVW) data from Quick Scatterometer (QuikSCAT) observations in the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) Weather Forecast Offices (WFOs) covering the coastal United States, including island states and territories. Thirty-three U.S. coastal WFOs were surveyed, and 16 WFO site visits were conducted, from late summer 2005 to the 2005/06 winter season, in order to quantify the impact of QuikSCAT SVW data on forecasts and warnings, with a particular focus on operations affecting marine users. Details of the survey design and site visit strategies are described. Survey results are quantified and site visit impressions are discussed. Key findings include (i) QuikSCAT data supplement primary datasets and numerical weather prediction fields, in the manual production of local public (weather) and marine forecasts and warnings; (ii) operational utility of satellite SVW data would be enhanced by SVW retrievals of finer temporal resolution, closer to the coasts; and (iii) rain flags in the SVW data have little impact on utility for WFO operations.

scholarly journals The phenomenon of "digital" death: formation and genesis of the attitude to death in social networks of students

2020 ◽  
Vol 15 (5) ◽  
pp. 1262-1275
Author(s):  
Vera B. Nikishina ◽  
Marina V. Sokolskaya ◽  
Oksana A. Musatova ◽  
Irina M. Loskutova ◽  
Irina Zapesotskaya ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Reality ◽  
Fear Of Death ◽  
Public Attention ◽  
Attitude To Death ◽  
User Attitudes ◽  
The Social ◽  
Attitudes Towards Death ◽  
The Impact

In this paper, we study the phenomenon of “digital” death, its genesis and the attitudes towards death in the context of social networks of students. As a result of the investigation we have discovered different forms of “digital death and the ways students react to it in social networks. We further investigate the origins of different user attitudes towards “digital death” and the impact of manipulative relation to death in social networks on the social reality. Some students stage their own death on social networks by posting images on their homepage, which has the intentions (i) to attract public attention, (ii) to express their auto aggression (iii) to make fun of death and (iv) to reduce their own anxiety of death by "sharing" the fear with other students. Our analysis shows that the main purpose of staging one’s death on social networks is to reduce the fear of death by creating plans, playing. Keywords: Students, cyberspace, social networks, death, "digital" death, attitude to the death in the social networks.

Building damage impact forecasting for winter windstorms in Switzerland

2021 ◽  
Author(s):  
Thomas Röösli ◽  
David N. Bresch
Keyword(s):  
False Alarm ◽  
Meteorological Data ◽  
Weather Forecast ◽  
Building Damage ◽  
False Alarms ◽  
Preventive Action ◽  
Wind Gusts ◽  
Geographical Regions ◽  
Forecasting System ◽  
The Impact

<p>Weather extremes can have high socio-economic impacts. Better impact forecasting and preventive action help to reduce these impacts. In Switzerland, the winter windstorms caused high building damage, felled trees and interrupted traffic and power. Events such as Burglind-Eleanor in January 2018 are a learning opportunity for weather warnings, risk modelling and decision-making.</p><p>We have developed and implemented an operational impact forecasting system for building damage due to wind events in Switzerland. We use the ensemble weather forecast of wind gusts produced by the national meteorological agency MeteoSwiss. We couple this hazard information with a spatially explicit impact model (CLIMADA) for building damages due to winter windstorms. Each day, the impact forecasting system publishes a probabilistic forecast of the expected building damages on a spatial grid.</p><p>This system produces promising results for major historical storms when compared to aggregated daily building insurance claims data from a public building insurer of the canton of Zurich. The daily impact forecasts were qualitatively categorized as (1) successful (2) miss or (3) false alarm. The impacts of windstorm Burglind-Eleanor and five other winter windstorms were forecasted reasonably well, with four successful forecasts, one miss and one false alarm.</p><p> The building damage due to smaller storm extremes was not as successfully forecasted. Thunderstorms are not as well forecasted with 2 days’ lead time and as a result the impact forecasting system produces more misses and false alarms outside the winter storm season. For the Alpine-specific southerly Foehn winds, the impact forecasts produce many false alarms, probably caused by an overestimation of wind gusts in the weather forecast.</p><p>The forecasting system can be used to improve weather warnings and allocate resources and staff in the claims handling process of building insurances. This will help to improve recovery time and costs to institutions and individuals. The open-source code and open meteorological data makes this implementation transferable to other hazard types and other geographical regions.</p>

The Impact of Mixed-Phase Microphysical Processes on the Turbulence in Low-level Clouds in the Arctic

2021 ◽  
Author(s):  
Jan Chylik ◽  
Roel Neggers
Keyword(s):  
Boundary Layer ◽  
Climate Models ◽  
Weather Forecast ◽  
Mixed Phase ◽  
The Arctic ◽  
Contributing Factors ◽  
Microphysics Scheme ◽  
Low Level ◽  
Microphysical Processes ◽  
The Impact

<p>The proper representation of Arctic mixed-phased clouds remains a challenge in both weather forecast and climate models. Amongst the contributing factors is the complexity of turbulent properties of clouds. While the effect of evaporating hydrometeors on turbulent properties of the boundary layer has been identified in other latitudes, the extent of similar studies in the Arctic has been so far limited.</p><p>Our study focus on the impact of heat release from mixed-phase microphysical processes on the turbulent properties of the convective low-level clouds in the Arctic. We  employ high-resolution simulations, properly constrained by relevant measurements.<br>Semi-idealised model cases are based on convective clouds observed during the recent campaign in the Arctic: ACLOUD, which took place May--June 2017 over Fram Strait. The simulations are performed in Dutch Atmospheric Large Eddy Simulation (DALES) with double-moment mixed-phase microphysics scheme of Seifert & Beheng.</p><p>The results indicate an enhancement of boundary layer turbulence is some convective regimes.<br>Furthermore, results are sensitive to aerosols concentrations. Additional implications for the role of mixed-phase clouds in the Arctic Amplification will be discussed.</p>

The impact of state financial control instruments on the assessment of the state and municipal property management efficiency

2020 ◽  
Vol 26 (9) ◽  
pp. 93-101
Author(s):  
М. Lukiyanova ◽  
Keyword(s):  
The State ◽  
Financial Control ◽  
Property Management ◽  
Negative Consequences ◽  
Property A ◽  
Strict Adherence ◽  
Management Efficiency ◽  
Leading Role ◽  
The Impact

The article deals with the impact of instruments of state financial control on the management of state and municipal property. The subject of the research is methodological approaches to the classification of violations revealed during control and expert-analytical activities carried out by state, regional and municipal financial control bodies. The topic of the work is the influence of state financial control instruments on the assessment of the state and municipal property management effeciency and the prospects for their application. The aim of the work is to present the author’s position on the effectiveness of the application of methodological rules and norms during control and expert-analytical activities. As a result, the importance of the principle of independence as a separate category of activities of state and municipal financial control (audit) bodies was expanded in order to focus on its leading role. The theoretical and practical provisions in the field of state financial control over state (municipal) property were combined using the example of a new object of state financial control and audit; analyzed the classification of objects of control in terms of violations and shortcomings. As conclusions, positive opportunities and negative consequences of strict adherence to standards developed in this area, collected by the method of economic grouping, were predicted. The author has used the following research methods: substantiations of proposals in the field of state financial control in terms of assessing their impact on the state and municipal property management efficiency, a literary review of scientific methodological developments in terms of attracting, using and disposing of state and municipal property, a method of data classification with using statistical groupings

Overlay-Based Middleware for the Pervasive Grid

2012 ◽  
pp. 566-588
Author(s):  
Paul Grace ◽  
Danny Hughes ◽  
Geoff Coulson ◽  
Gordon S. Blair ◽  
Barry Porter ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Grid Computing ◽  
Mobile Devices ◽  
Environmental Conditions ◽  
Overlay Networks ◽  
Dynamic Adaptation ◽  
North West ◽  
The North ◽  
Flood Monitoring ◽  
Monitoring Application

Grid computing is becoming increasingly pervasive; sensor networks and mobile devices are now connected with traditional Grid infrastructure to form geographically diverse complex systems. Applications of this type can be classified as the Pervasive Grid. In this chapter we examine how traditional Grid technologies and middleware are inherently unsuited to address the challenges of extreme heterogeneity and fluctuating environmental conditions in these systems. We present Gridkit, a configurable and reconfigurable reflective middleware that leverages overlay networks and dynamic software in response to the requirements of the Pervasive Grid. We also illustrate how Gridkit has been used to deploy a flood monitoring application at a river in the north west of England; this demonstrates both the flexibility Gridkit provides, and how dynamic adaptation optimises performance and resource consumption.

scholarly journals Evaluation of Combined Satellite and Radar Data Assimilation with POD-4DEnVar Method on Rainfall Forecast

2020 ◽  
Vol 10 (16) ◽  
pp. 5493 ◽  
Author(s):  
Jingnan Wang ◽  
Lifeng Zhang ◽  
Jiping Guan ◽  
Mingyang Zhang
Keyword(s):  
Data Assimilation ◽  
Weather Prediction ◽  
Weather Forecast ◽  
Radar Data ◽  
Precipitation Forecast ◽  
Rainfall Forecast ◽  
Skill Scores ◽  
The Individual ◽  
The Impact ◽  
Radar Data Assimilation

Satellite and radar observations represent two fundamentally different remote sensing observation types, providing independent information for numerical weather prediction (NWP). Because the individual impact on improving forecast has previously been examined, combining these two resources of data potentially enhances the performance of weather forecast. In this study, satellite radiance, radar radial velocity and reflectivity are simultaneously assimilated with the Proper Orthogonal Decomposition (POD)-based ensemble four-dimensional variational (4DVar) assimilation method (referred to as POD-4DEnVar). The impact is evaluated on continuous severe rainfall processes occurred from June to July in 2016 and 2017. Results show that combined assimilation of satellite and radar data with POD-4DEnVar has the potential to improve weather forecast. Averaged over 22 forecasts, RMSEs indicate that though the forecast results are sensitive to different variables, generally the improvement is found in different pressure levels with assimilation. The precipitation skill scores are generally increased when assimilation is carried out. A case study is also examined to figure out the contributions to forecast improvement. Better intensity and distribution of precipitation forecast is found in the accumulated rainfall evolution with POD-4DEnVar assimilation. These improvements are attributed to the local changes in moisture, temperature and wind field. In addition, with radar data assimilation, the initial rainwater and cloud water conditions are changed directly. Both experiments can simulate the strong hydrometeor in the precipitation area, but assimilation spins up faster, strengthening the initial intensity of the heavy rainfall. Generally, the combined assimilation of satellite and radar data results in better rainfall forecast than without data assimilation.

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