damage statistics

简明释义

海损统计

英英释义

例句

1.The environmental agency released a report detailing damage statistics 损失统计数据 from the oil spill.

环保机构发布了一份报告，详细说明了石油泄漏造成的损失统计数据。

2.After the earthquake, local authorities compiled damage statistics 损失统计数据 to assess the impact on the community.

地震后，当地政府汇总了损失统计数据以评估对社区的影响。

3.Researchers are analyzing damage statistics 损失统计数据 from previous hurricanes to improve future response strategies.

研究人员正在分析以往飓风的损失统计数据以改善未来的应对策略。

4.The insurance company requested the damage statistics 损失统计数据 for the recent storm to process claims.

保险公司要求提供最近风暴的损失统计数据以处理索赔。

5.The city council discussed damage statistics 损失统计数据 related to traffic accidents during their meeting.

市议会在会议上讨论了与交通事故相关的损失统计数据。

作文

In today's world, the ability to understand and analyze various forms of data is crucial. One area that has gained significant attention is the field of damage statistics. damage statistics refers to the quantitative assessment of damage caused by various factors, such as natural disasters, accidents, or human activities. By analyzing these statistics, we can gain insights into the extent of the damage, identify trends, and develop strategies for prevention and recovery.For instance, consider the impact of natural disasters like hurricanes and earthquakes. The damage statistics collected after such events provide valuable information about the destruction of infrastructure, loss of life, and economic costs. Governments and organizations rely on these statistics to allocate resources effectively and implement disaster response plans. Without accurate damage statistics, it would be challenging to understand the full scope of the devastation and the needs of affected communities.Moreover, damage statistics play a vital role in research and policy-making. Researchers study patterns in the data to determine the factors that contribute to damage and develop models that can predict future incidents. This predictive capability is essential for creating effective policies aimed at minimizing risks and enhancing resilience in vulnerable areas. For example, cities prone to flooding can use damage statistics to design better drainage systems and establish zoning laws that prevent construction in high-risk zones.In addition to natural disasters, damage statistics are also relevant in sectors like transportation and industrial safety. Accidents on roads or in factories can lead to significant harm, and compiling damage statistics helps identify the most dangerous locations or practices. By understanding where and why accidents occur, companies and governments can implement safety measures to reduce the likelihood of future incidents. This proactive approach not only saves lives but also minimizes economic losses associated with accidents.Furthermore, the analysis of damage statistics can inform insurance practices. Insurance companies rely heavily on historical data to assess risk and set premiums. By examining past damage statistics, insurers can better understand the likelihood of claims arising from specific events, allowing them to manage their finances more effectively. This relationship between damage statistics and the insurance industry underscores the importance of accurate data collection and analysis.In conclusion, damage statistics are an essential component of modern data analysis across various fields. They provide critical insights that help governments, researchers, businesses, and communities make informed decisions. Whether it's responding to a natural disaster, improving safety protocols, or shaping insurance policies, the role of damage statistics cannot be overstated. As we continue to face challenges related to environmental changes and industrial safety, the need for accurate and comprehensive damage statistics will only grow stronger, highlighting the importance of data-driven approaches in addressing these issues effectively.

在当今世界，理解和分析各种数据的能力至关重要。一个备受关注的领域是损害统计学。damage statistics指的是由各种因素造成的损害的定量评估，例如自然灾害、事故或人为活动。通过分析这些统计数据，我们可以深入了解损害的程度，识别趋势，并制定预防和恢复的策略。例如，考虑一下自然灾害如飓风和地震的影响。在这些事件发生后收集的damage statistics提供了关于基础设施破坏、生命损失和经济成本的宝贵信息。政府和组织依赖这些统计数据有效分配资源并实施灾后响应计划。如果没有准确的damage statistics，就很难理解破坏的完整范围以及受影响社区的需求。此外，damage statistics在研究和政策制定中也发挥着重要作用。研究人员研究数据中的模式，以确定造成损害的因素并开发可以预测未来事件的模型。这种预测能力对于制定旨在最小化风险和增强脆弱地区韧性的有效政策至关重要。例如，容易发生洪水的城市可以利用damage statistics设计更好的排水系统，并建立防止在高风险区域建设的分区法。除了自然灾害，damage statistics在交通和工业安全等领域也很相关。道路或工厂的事故可能导致重大伤害，编制damage statistics有助于识别最危险的位置或做法。通过了解事故发生的地点和原因，公司和政府可以实施安全措施，以减少未来事件发生的可能性。这种主动的做法不仅挽救生命，还将与事故相关的经济损失降到最低。此外，damage statistics的分析可以为保险实践提供信息。保险公司在评估风险和设定保费时严重依赖历史数据。通过检查过去的damage statistics，保险公司可以更好地理解特定事件引发索赔的可能性，从而更有效地管理其财务。这种damage statistics与保险行业之间的关系强调了准确的数据收集和分析的重要性。总之，damage statistics是现代数据分析在各个领域的重要组成部分。它们提供了关键见解，帮助政府、研究人员、企业和社区做出明智的决策。无论是应对自然灾害、改善安全协议还是塑造保险政策，damage statistics的作用都不容小觑。随着我们继续面临与环境变化和工业安全相关的挑战，对准确和全面的damage statistics的需求只会越来越强烈，这突显了以数据驱动的方法在有效解决这些问题中的重要性。