monthly mean level

简明释义

月平均水平

英英释义

例句

1.Tracking the monthly mean level of energy consumption helps in forecasting future needs.

跟踪能源消耗的月均水平有助于预测未来需求。

2.The monthly mean level of river water flow affects local ecosystems.

河流水流的月均水平影响当地生态系统。

3.The monthly mean level of stock prices can indicate market trends.

股票价格的月均水平可以指示市场趋势。

4.The monthly mean level of rainfall in this region is crucial for agriculture.

该地区的月均降水量对农业至关重要。

5.We need to analyze the monthly mean level of air pollution to develop better policies.

我们需要分析空气污染的月均水平以制定更好的政策。

作文

Understanding the concept of the monthly mean level is essential in various fields, including meteorology, hydrology, and environmental science. The monthly mean level refers to the average value of a particular variable, such as temperature or water level, calculated over the course of a month. This statistical measure provides valuable insights into trends and patterns that might not be apparent from daily fluctuations. For instance, in meteorology, analyzing the monthly mean level of temperature can help identify seasonal changes and long-term climate trends. Researchers can compare the monthly mean level of different months across years to assess whether temperatures are rising or falling over time. Such analyses are crucial for understanding climate change and its impacts on ecosystems and human activities.In hydrology, the monthly mean level of river or lake water levels is vital for water resource management. By examining the monthly mean level, hydrologists can determine the availability of water for irrigation, drinking, and industrial use. Moreover, this data helps in predicting flood risks during rainy seasons or drought conditions during dry months. For example, if the monthly mean level of a river shows a significant decrease over several months, it may indicate a potential drought situation, prompting authorities to take preventive measures.The significance of the monthly mean level extends to environmental monitoring as well. It allows scientists to track changes in ecosystems, such as shifts in plant and animal populations due to alterations in their habitats. For instance, if the monthly mean level of a wetland's water level rises significantly, it could lead to an increase in certain species that thrive in wetter conditions, while potentially harming species that prefer drier environments. Understanding these dynamics is crucial for conservation efforts and maintaining biodiversity.In addition to its practical applications, the monthly mean level serves as a fundamental concept in data analysis and interpretation. Statisticians and data scientists often rely on averages to summarize large datasets, making it easier to communicate findings to broader audiences. By presenting the monthly mean level alongside other statistics, such as median and mode, researchers can provide a more comprehensive view of the data.Despite its usefulness, it's important to recognize the limitations of relying solely on the monthly mean level. Averages can sometimes mask extreme values or outliers that may have significant implications. Therefore, it is advisable to consider additional metrics and visualizations, such as standard deviation and graphs, to gain a clearer picture of the data being analyzed.In conclusion, the monthly mean level is a powerful tool for understanding and interpreting various phenomena across multiple disciplines. Whether in studying climate patterns, managing water resources, or monitoring ecological changes, this statistical measure provides essential insights that inform decision-making and policy development. As we continue to face global challenges, such as climate change and resource scarcity, the ability to analyze and interpret the monthly mean level will remain crucial for sustainable development and environmental stewardship.

理解月均水平的概念在气象学、水文学和环境科学等多个领域至关重要。月均水平是指在一个月内计算的特定变量（如温度或水位）的平均值。这一统计指标提供了对趋势和模式的有价值洞察，这些趋势和模式可能在日常波动中并不明显。例如，在气象学中，分析月均水平的温度可以帮助识别季节变化和长期气候趋势。研究人员可以比较不同年份的月均水平，以评估温度是否在上升或下降。这类分析对于理解气候变化及其对生态系统和人类活动的影响至关重要。在水文学中，河流或湖泊的月均水平对水资源管理至关重要。通过检查月均水平，水文学家可以确定灌溉、饮用和工业用水的可用性。此外，这些数据有助于预测雨季的洪水风险或干旱月份的干旱情况。例如，如果某条河流的月均水平在几个月内显著下降，这可能表明潜在的干旱情况，从而促使当局采取预防措施。月均水平的重要性还延伸到环境监测。它使科学家能够追踪生态系统的变化，例如由于栖息地的改变而导致的植物和动物种群的变化。例如，如果湿地的月均水平显著上升，可能会导致某些在潮湿条件下茁壮成长的物种增加，同时可能会伤害那些更喜欢干燥环境的物种。理解这些动态对于保护工作和维护生物多样性至关重要。除了其实际应用外，月均水平在数据分析和解释中也是一个基本概念。统计学家和数据科学家通常依赖平均值来总结大型数据集，从而使研究结果更易于向更广泛的受众传达。通过将月均水平与其他统计数据（如中位数和众数）一起呈现，研究人员可以提供更全面的数据视图。尽管月均水平非常有用，但重要的是要认识到仅依赖于月均水平的局限性。平均值有时可能掩盖极端值或异常值，而这些值可能具有重要意义。因此，建议考虑附加的指标和可视化工具，例如标准差和图表，以获得更清晰的数据分析视图。总之，月均水平是理解和解释各学科中各种现象的强大工具。无论是在研究气候模式、管理水资源还是监测生态变化，这一统计指标都提供了信息决策和政策制定所需的基本见解。随着我们继续面临全球挑战，如气候变化和资源稀缺，分析和解释月均水平的能力将对可持续发展和环境管理至关重要。