Quality and Safety Warning of Edible Forest Products Based on Gray Forecast Model

2013 ◽  
Vol 340 ◽  
pp. 924-928
Author(s):  
Peng Zhang ◽  
Zhen Liu ◽  
Zhong Su Ma
Keyword(s):  
Early Warning ◽  
Warning System ◽  
Forest Products ◽  
Forecast Model ◽  
Gray Model ◽  
Quality And Safety ◽  
Prediction Theory ◽  
Safety Warning ◽  
Product Quality And Safety

Strengthening food security early warning system is an important content of the food safety supervision. The gray model of edible forest products warning is constructed on the basis of gray prediction theory, and this article takes the pecan peroxide value in laboratory at room temperature be measured during storage as the example to do the case study. The results show that the model has higher prediction accuracy and generalization ability, and the early warning of edible forest product quality and safety is reliable.

scholarly journals Algorithm to Predict the Rainfall Starting Point as a Function of Atmospheric Pressure, Humidity, and Dewpoint

Climate ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 131
Author(s):  
Alfonso Gutierrez-Lopez ◽  
Ivonne Cruz-Paz ◽  
Martin Muñoz Mandujano
Keyword(s):  
Early Warning ◽  
Atmospheric Pressure ◽  
Urban Areas ◽  
Early Warning System ◽  
Warning System ◽  
Forecast Model ◽  
Flood Damage ◽  
Precipitation Forecast ◽  
Rainfall Forecasting ◽  
Starting Point

Forecasting extreme precipitations is one of the main priorities of hydrology in Latin America and the Caribbean (LAC). Flood damage in urban areas increases every year, and is mainly caused by convective precipitations and hurricanes. In addition, hydrometeorological monitoring is limited in most countries in this region. Therefore, one of the primary challenges in the LAC region the development of a good rainfall forecasting model that can be used in an early warning system (EWS) or a flood early warning system (FEWS). The aim of this study was to provide an effective forecast of short-term rainfall using a set of climatic variables, based on the Clausius–Clapeyron relationship and taking into account that atmospheric water vapor is one of the variables that determine most meteorological phenomena, particularly regarding precipitation. As a consequence, a simple precipitation forecast model was proposed from data monitored at every minute, such as humidity, surface temperature, atmospheric pressure, and dewpoint. With access to a historical database of 1237 storms, the proposed model allows use of the right combination of these variables to make an accurate forecast of the time of storm onset. The results indicate that the proposed methodology was capable of predicting precipitation onset as a function of the atmospheric pressure, humidity, and dewpoint. The synoptic forecast model was implemented as a hydroinformatics tool in the Extreme Precipitation Monitoring Network of the city of Queretaro, Mexico (RedCIAQ). The improved forecasts provided by the proposed methodology are expected to be useful to support disaster warning systems all over Mexico, mainly during hurricanes and flashfloods.

scholarly journals Study on the combined threshold for gully-type debris flow early warning

2019 ◽  
Vol 19 (1) ◽  
pp. 41-51 ◽  
Author(s):  
Jian Huang ◽  
Theodoor Wouterus Johannes van Asch ◽  
Changming Wang ◽  
Qiao Li
Keyword(s):  
Debris Flow ◽  
Pore Pressure ◽  
Early Warning ◽  
Early Stage ◽  
Warning System ◽  
Early Warning Systems ◽  
Great Loss ◽  
Mountainous Regions ◽  
Pressure Threshold

Abstract. Gully-type debris flow induced by high-intensity and short-duration rainfall frequently causes great loss of properties and causalities in mountainous regions of southwest China. In order to reduce the risk by geohazards, early warning systems have been provided. A triggering index can be detected in an early stage by the monitoring of rainfall and the changes in physical properties of the deposited materials along debris flow channels. Based on the method of critical pore pressure for slope stability analysis, this study presents critical pore pressure threshold in combination with rainfall factors for gully-type debris flow early warning. The Wenjia gully, which contains an enormous amount of loose material, was selected as a case study to reveal the relationship between the rainfall and pore pressure by field monitoring data. A three-level early warning system (zero, attention, and warning) is adopted and the corresponding judgement conditions are defined in real time. Based on this threshold, there are several rainfall events in recent years have been validated in Wenjia gully, which prove that such a combined threshold may be a reliable approach for the early warning of gully-type debris flow to safeguard the population in the mountainous areas.

scholarly journals Design of early warning system for nuclear preparedness case study at Serpong

2017 ◽  
Author(s):  
M. M. Farid ◽  
Prawito ◽  
I. P. Susila ◽  
A. Yuniarto
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System

scholarly journals Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2683
Author(s):  
Rui Fu ◽  
Yali Zhang ◽  
Chang Wang ◽  
Wei Yuan ◽  
Yingshi Guo ◽  
...  
Keyword(s):  
Warning System ◽  
Relative Distance ◽  
Driving Safety ◽  
Lane Change ◽  
Vehicle Speed ◽  
Accuracy Rate ◽  
Safety Warning ◽  
Change Characteristics ◽  
Speed Level

Speed has an important impact on driving safety, however, this factor is not included in existing safety warning algorithms. This study uses lane change systems to study the influence of vehicle speed on safety warning algorithms, aiming to determine lane change warning rules for different speeds (DS-LCW). Thirty-five drivers are recruited to carry out an extreme trial and naturalistic driving experiment. The vehicle speed, relative speed, relative distance, and minimum safety deceleration (MSD) related to lane change characteristics are then analyzed and calculated as warning rule characterization parameters. Lane change warning rules for a rear vehicle in the target lane under four-speed levels of 60 ≤ v < 70 km/h, 70 ≤ v < 80 km/h, 80 ≤ v < 90 km/h, and v ≥ 90 km/h are established. The accuracy of lane change warning rules not considering speed level (NDS-LCW) and ISO 17387 are found to be 87.5% and 79.8%, respectively. Comparatively, the accuracy rate of DS-LCW under four-speed levels is 94.6%, 93.8%, 90.0%, and 92.6%, respectively, which is significantly superior. The algorithm proposed in this paper provides warning in the lane change process with a smaller relative distance, and the accuracy rate of DS-LCW is significantly superior to NDS-LCW and ISO 17387.

Controlling taste and odour events for the city of Philadelphia, USA: a case study

2008 ◽  
Vol 8 (2) ◽  
pp. 135-141 ◽  
Author(s):  
I. H. (Mel) Suffet ◽  
Gary Burlingame ◽  
Erin Mackey
Keyword(s):  
Drinking Water ◽  
Early Warning ◽  
Distribution System ◽  
Warning System ◽  
Consumer Complaints ◽  
Chlorine Disinfection ◽  
Drinking Waters ◽  
Year 2000 ◽  
The City

The overall goal of this case study is to describe the history and present methods that the Philadelphia Water Department (PWD) uses to address its on-going earthy and musty drinking water T&O problems. The Philadelphia Water Department has developed a baseline for its water's aesthetic qualities since the early 1980’s. Philadelphia feels it has sufficient resources to control taste and odour problems. However, when directly asked, only 61–64% of the consumers are satisfied with the taste and odour of Philadelphia's drinking waters. A taste and odour early warning system is being developed for the two drinking water sources, the Delaware and Schuylkill rivers. Secondly, routine T&O panels and chemical analysis of geosmin and MIB are completed. Since the year 2000, 10 ng/L has become an early warning wake-up call for PWD. When higher levels are observed, testing is a priority, the source of the T&O is investigated and consumer complaints are monitored carefully. Present water treatment plants are conventional with chlorine disinfection, coagulation/sedimentation, rapid dual media filtration and final chloramination. The PWD uses powdered activated carbon, river water bypass and hydraulic changes in the distribution system to minimise odour events.

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