Study on Distribution Characteristics of Lightning Disasters in Hebei Province

Based on the special landscape and regional characteristics,the lightning location information from 1999 to 2008 and conventional observation data from 1971 to 2000 provided by electricity departments in Hebei Province were applied to analyze spatial and temporal distribution of lightning.With lighting disaster data since 2000 provided by meteorological department,and records from civil affair,statistics,insurance,and other departments,the lighting disaster distribution of Hebei Province was studied from aspects of economic and people losses,and some countermeasures for several lightning disasters industries were put forward.

Influence of Lightning Disaster on Cities and Lightning Defense Measures

Under the influence of special terrain and climatic conditions,lightning weather in Ulanqab City is more frequent from June to August,and lightning disaster has become one of the important tasks of disaster prevention and mitigation.In this paper,based on the characteristics of lightning weather in Ulanqab City,the impact of lightning disaster on the city was analyzed,and lightning protection measures,such as strengthening supervision of lightning protection safety,establishing a long-term lightning protection mechanism,doing a good job in lightning protection construction and detection in key places,and further improving public awareness of lightning protection,were put forward to reduce and avoid urban lightning disasters as much as possible and ensure urban safety.

Risk Assessment and Zoning of Lightning Disasters in Weiyuan County of Neijiang City

According to the lightning monitoring data of Sichuan Lightning Protection Center from 2005 to 2016,vulnerability indicators such as lightning density,lightning intensity and life vulnerability modulus of Weiyuan County in Neijiang City were calculated. Afterwards,the vulnerability of lightning disasters in various towns of Weiyuan County was analyzed and evaluated,and the risk zoning of lightning disasters was conducted,which provides a scientific basis for the prevention and reduction of lightning loss.

Studies on the Distribution Characteristics of the Cloud-to-Ground Lightning and Its Disasters Prevention in Xinjiang, China in 2017

Xinjiang, China is affected by geographical terrain and other factors, and is prone to lightning disasters. In order to effectively carry out lightning protection and disaster reduction work and improve defense capabilities, based on the data of lightning location monitoring in Xinjiang in 2017 and the statistics reports of the lightning disasters from 2015 to 2017, the characteristics of the cloud-to-ground (CG) lightning activities and disasters in Xinjiang were statistically analyzed. The results show that the CG lightning in Xinjiang is mainly the negative one, accounting for 79.7% of the total lightning. In 2017, the distribution of positive, negative and total the CG lightning months mainly focuses on June to August, and the main occurrence period is from 14 to 23 hours. The intensity of total the CG lightning and negative the CG lightning mainly distributes from 20 to 40 kA, and the peak value appears in 30 kA. The CG lightning intensity is mainly distributed in 30 - 70 kA. The distribution of the CG lightning density in Xinjiang is larger in the north than in the south and larger in the west than in the east. Lightning disasters mainly occur from May to August, accounting for 93.2 percent of the total, with the largest number in June. From 2005 to 2017, 44.6% of lightning accidents occurred in farming and pastoral areas, followed by civil electronic equipment damage. In addition, electrical equipment, buildings and factory equipment are damaged by lightning strikes to varying degrees.

Rational Identification of Lightning Derivative Disasters by Strong Convective Weather Monitoring Data in Southern China——A Case Study in Guangzhou Development Region

Analytic method and identification direction for rational identification of lightning derivative disasters by strong convective weather monitoring data in southern China were introduced. Taking identification cases of lightning disaster in Guangzhou Development Region as the background,according to the characteristics in the region that large high-precision enterprises were more,lightning derivative disasters occurred frequently in thunderstorm season,and the actual situation that time of the affected enterprise applying for lightning disaster scene identification lagged,combining Technical Specifications of Lightning Disaster Investigation（ QX / T103-2009）,qualitative analysis method of lightning derivative disaster was put forward under the weather condition of strong convection in southern China by using weather monitoring data（ Doppler sounding radar data,lightning positioning monitoring data,atmospheric electric field data,rainfall data,wind direction and force）,and was optimized by technical means（ ＂ metallographic method＂ and ＂ remanence law＂）. The research could put forward efficient and convenient analytical thinking and method for lightning derivative disaster,and further optimize accuracy and credibility of lightning disaster investigation.

Application of Lightning Monitoring and Positioning Data in Investigation and Identification of Lightning Disaster in Inner Mongolia

The lightning current magnitude and other characteristics are important basic data of the lightning disaster investigation and identification. The characteristics of lightning monitoring and positioning system in Inner Mongolia were introduced and studied in the lightning accident analysis based on the lightning monitoring and positioning data of the lightning stroke accidents. The positioning error of lightning monitoring and positioning system was analyzed. The results showed that lightning current intensity and the position precision were very important data in the lightning disaster investigation. Finally, a variety of meteorological data should be applied in the lightning disaster investigation and identification.

Preliminary Study on the Influence of Communication Station on Lightning Strike Risk in Its Neighboring Region

The communication stations are more easily struck by lightning because of its special geographical position. We proved theoretically that communication station increased the frequency and intensity of lightning strike in its neighboring region, thereby causing the increasing of lightning disaster loss. As long as the emphasis is put on the correct understanding and reasonably taking measures including： draining, grounding, equipo- tential bonding and shielding, it can be completely ensured that building and equipment of communication base station and its neighboring region are safe.

Analysis of Lightning Disaster of Eight Mobile Base Stations in a County Suffering Thunderstorm on June 23,2015 and Countermeasures

During the process of thunderstorm in a county on June 23,2015,eight mobile base stations in the region were damaged.The reasons for the damage caused by the thunderstorm were discussed through on-the-spot investigation,and some countermeasures were proposed.

Statistical Assessment System of Thunder and Lightning Disaster in Yantai City

Starting from lightning disaster information and using computer technology, lightning disaster information is arranged and classified, thereby realizing automatic management of lightning disaster information.

Analysis of Lightning Disaster in Shaoyang City and Research on Its Defense Countermeasures

The climate impact assessment and monthly and annual reports of surface meteorological observation of cities and counties were reviewed,and there were no records of lightning disasters in Shaoyang from 1978 to 2000.Since 2001,there have been few records of lightning disasters,with only about 10 times in various regions.In this paper,a total of 143 investigation reports on lightning accidents since 2002 were collected,and statistical analysis was conducted based on the loss,location of occurrence,damaged industries,and social impact.In particular,the temporal and spatial distribution characteristics of lightning in Shaoyang area have been clearly understood,and the main characteristics and laws of lightning accidents in Shaoyang area were revealed.The results showed that the most lightning accidents occurred in June,and no lightning accidents occurred in December.Dongkou,Longhui,and Shaoyang urban areas were the lightning prone areas,and the impact of lightning on agriculture was the largest,followed by commerce.The prevention countermeasures of lightning disasters were proposed to provide reference for disaster prevention and reduction.

Intelligent Protection and Monitoring System of Lightning Disaster

Based on Internet technology,modern wireless communication technology and new sensor technology,an intelligent protection and monitoring system of lightning disaster was established to collect lightning current(lightning intensity,frequency and time),induced lightning current and leakage current of surge protector(SPD),earthing resistance,working voltage,temperature and humidity in the lightning environment and other data in real time.Through the online analysis of visual data and automatic alarm beyond the preset value of cloud platform,it can realize the intelligent online monitoring and management of lightning protection devices,providing scientific and reliable lightning protection technical support for lightning protection and disaster reduction,and ensuring the smooth development and efficient management of lightning protection safety work.

Study on the Causes of Rural Lightning Disaster and Countermeasures of Lightning Protection and Disaster Reduction

With the development of the time and the progress of economy,great changes have taken place in the environment.In recent years,it is common to see bad weather,such as hurricane,drought,lightning and so on.The emergence of these weather has the greatest impact on farmers and crops,especially the lightning weather,not only that,but also sometimes cause personal injury.In face of the frequent occurrence of bad weather in recent years and its harm and threat to China's agriculture,rural areas,personnel,etc.,the author makes a detailed study on the causes of rural lightning weather,analyzes the lightning protection measures in rural areas and their shortcomings,and summarizes the relevant improvement measures.

Discussion on Common Problems in Risk Assessment of Lightning Disaster

The problems in calculating parameters of equivalent collection area,earth resistivity and lightning protection category as well as their effects on lightning disaster risk assessment were analyzed,and practical examples proved the effects of those differences on lightning protection identification,intercept efficiency calculation in evaluating lightning disaster risk. In the meantime,several new concepts,such as the height of buildings for lightning protection were defined,and a fixed radius value was set to the ground flash density for calculation,establishing the ground flash density formula to solve the problems in parameter calculation,which would be beneficial to promote the standardization of lightning disaster risk assessment.

Analysis on Lightning Activities and Its Disastrous Climate Characteristics in Shandong Province

By using the reported data of lightning disaster and the data of lightning monitoring network in Shandong Province since its establishment,the lightning activities and the disaster climate characteristics in Shandong Province were analyzed.The data were processed by lattice formulation,and the spatial and temporal distribution characteristics of positive and negative CG flashes were given.The parameter characteristics of positive and negative ground lightning and its relationship with the lightning disasters were analyzed.And the lightning parameter characteristics of lightning in major cities of Shandong Province were analyzed.

A Lightning Disaster Risk Assessment Model Based on SVM

Lightning disaster risk assessment,as an intuitive method to reflect the risk of regional lightning disasters,has aroused the research interest of many researchers.Nowadays,there are many schemes for lightning disaster risk assessment,but there are also some shortcomings,such as the resolution of the assessment is not clear enough,the accuracy rate cannot be verified,and the weight distribution has a strong subjective trend.This paper is guided by lightning disaster data and combines lightning data,population data and GDP data.Through support vector machine(SVM),it explores a way to combine artificial intelligence algorithms with lightning disaster risk assessment.By fitting the lightning disaster data,the weight distribution between the various impact factors is obtained.In the experiment,the probability of lightning disaster is used to compare with the actual occurrence of lightning disaster.It can be found that the disaster risk assessment model proposed in this paper is more reasonable for the lightning risk.It has been verified that the accuracy rate of the assessment model in this paper has reached 80.2%,which reflects the superiority of the model.

A Rasterized Lightning Disaster Risk Method for Imbalanced Sets Using Neural

Over the past 10 years,lightning disaster has caused a large number of casualties and considerable economic loss worldwide.Lightning poses a huge threat to various industries.In an attempt to reduce the risk of lightning-caused disaster,many scholars have carried out in-depth research on lightning.However,these studies focus primarily on the lightning itself and other meteorological elements are ignored.In addition,the methods for assessing the risk of lightning disaster fail to give detailed attention to regional features(lightning disaster risk).This paper proposes a grid-based risk assessment method based on data from multiple sources.First,this paper considers the impact of lightning,the population density,the economy,and geographical environment data on the occurrence of lightning disasters;Second,this paper solves the problem of imbalanced lightning disaster data in geographic grid samples based on the K-means clustering algorithm;Third,the method calculates the feature of lightning disaster in each small field with the help of neural network structure,and the calculation results are then visually reflected in a zoning map by the Jenks natural breaks algorithm.The experimental results show that our method can solve the problem of imbalanced lightning disaster data,and offer 81%accuracy in lightning disaster risk assessment.

Statistical Analysis on Lightning Characteristics in Hebei Province

By using monitoring data of lightning locating system in Hebei during 1999- 2010 and lightning disaster data in Hebei during 2002- 2010,temporal-spatial distribution characteristics of ground flash and lightning disaster in Hebei Province were analyzed. Annual,monthly and daily changes of ground flash,lightning current intensity and ground flash density in Hebei were analyzed,and we compared ground flash with lightning disaster distribution.

安徽地区农村雷电灾害防御研究——以马鞍山市为例

文章利用基于安徽省2010—2020年闪电定位监测数据及马鞍山市1998—2022年雷电灾情统计资料,采用闪电密度(强度)计算模型,分析地闪活动频次、密度(强度)和雷电灾害时空分布特点。研究得出:地闪活动是雷电灾害的主要致灾因子;马鞍山地闪密度为0.04~1.50次/(km~2·a^(-1)),地闪强度为0.50~0.71 kA/(m~2·a^(-1)),地闪密度(强度)较大的地区发生雷电灾害的可能性较大;实施农村建(构)筑物内外防雷系统改造、雷电区域拦截、电气设备浪涌保护等综合雷电防御措施,可有效预防和减少雷电灾害造成的损失。研究结果以期为农村防灾减灾管理提供决策参考。

湖北省雷电灾损特征评估

基于2000-2020年湖北省雷电灾害资料,统计了雷电灾害的等级、经济损失、人员伤亡以及受灾行业等信息,分析了不同等级雷电灾害变化特征、受灾行业以及生命和经济损失特征。结果表明:2000-2020年湖北省雷灾以一般和较大等级为主,占比达96.31%,重大、较大、一般等级雷灾均呈先上升后降低的特征;鄂东地区为雷灾高发区,江汉平原常发生较大及以上等级的雷灾,而鄂西地区以一般等级雷灾为主;农、林、牧、渔业最易遭受雷灾,其伤亡和设备损坏也最严重,但呈下降趋势;制造业因雷灾造成的经济损失最大,尤其是在鄂东北地区;全省生命损失指数呈东高西低的分布特征,高至较高生命、经济损失指数主要集中在鄂东中部地区,少量散布在鄂西北和江汉平原局地。

雷电预警系统在大型原油储存基地的应用

雷击是造成大型原油储存基地发生火灾爆炸事故的重要原因,如何避免雷电危害已成为各大型原油储存基地夏季安全生产工作的重中之重。本文通过描述雷电预警系统的设计原理以及在某大型原油储存基地的实际应用情况,验证了雷电预警系统在监控雷电形成、雷电场移动等方面具有的准确性、时效性和前瞻性等特点,对保障大型原油储存基地夏季安全生产具有重要作用。