areal mean rainfall

简明释义

地区平均雨量;

英英释义

例句

1.The study showed a correlation between urban development and changes in areal mean rainfall 区域平均降雨量 patterns.

研究表明，城市发展与区域平均降雨量 areal mean rainfall模式的变化之间存在相关性。

2.The areal mean rainfall 区域平均降雨量 data is crucial for understanding water resource management in agriculture.

数据对于理解农业中的水资源管理至关重要，特别是区域平均降雨量 areal mean rainfall。

3.To assess the impact of climate change, researchers analyzed the areal mean rainfall 区域平均降雨量 over the last decade.

为了评估气候变化的影响，研究人员分析了过去十年的区域平均降雨量 areal mean rainfall。

4.During the flood event, the areal mean rainfall 区域平均降雨量 exceeded 200 mm, leading to severe flooding.

在洪水事件中，区域平均降雨量 areal mean rainfall超过了200毫米，导致严重洪涝。

5.The meteorologist reported that the areal mean rainfall 区域平均降雨量 for the past month was significantly higher than usual.

气象学家报告称，过去一个月的区域平均降雨量 areal mean rainfall显著高于正常水平。

作文

Rainfall is a critical component of the Earth's hydrological cycle and plays a vital role in sustaining ecosystems, agriculture, and water supply. Understanding rainfall patterns is essential for effective water resource management and disaster preparedness. One important concept in meteorology and hydrology is the areal mean rainfall, which refers to the average amount of rainfall over a specific area during a given time period. This metric allows researchers and policymakers to assess the distribution and intensity of precipitation across different regions. By calculating the areal mean rainfall for a particular area, scientists can better understand how rainfall varies spatially and temporally, which is crucial for managing water resources and predicting potential flooding events.The calculation of areal mean rainfall typically involves collecting rainfall data from various weather stations within the area of interest. The total rainfall recorded by each station is summed up and then divided by the number of stations to obtain an average. This method provides a more comprehensive view of rainfall distribution than relying on a single weather station. For instance, if a region has multiple weather stations reporting different amounts of rainfall, the areal mean rainfall will reflect the overall precipitation experienced by the entire area rather than just one localized measurement.In agricultural contexts, understanding the areal mean rainfall is vital for farmers to make informed decisions about crop planting and irrigation. Different crops require varying amounts of water, and knowing the average rainfall can help farmers optimize their practices to ensure healthy yields. For example, if the areal mean rainfall for a growing season is lower than expected, farmers may need to implement irrigation strategies to compensate for the deficit. Conversely, if the average rainfall is higher, they might need to consider drainage solutions to prevent waterlogging, which can harm crops.Moreover, urban planners and civil engineers also rely on the concept of areal mean rainfall when designing infrastructure such as drainage systems and reservoirs. By analyzing historical rainfall data and calculating the areal mean rainfall, they can design systems that effectively manage stormwater runoff and reduce the risk of flooding. This is particularly important in urban areas where impervious surfaces increase the volume and speed of runoff, leading to potential flooding and water quality issues.In recent years, climate change has introduced new challenges to understanding and predicting rainfall patterns. Changes in temperature and atmospheric conditions can alter precipitation distribution, making it increasingly important to monitor the areal mean rainfall over time. Long-term studies that track changes in this metric can provide valuable insights into how climate change is impacting regional water resources and help guide adaptation strategies.In conclusion, the concept of areal mean rainfall is a fundamental aspect of hydrology that aids in understanding rainfall distribution across various regions. Its applications extend beyond meteorology to agriculture, urban planning, and climate science. By comprehensively analyzing rainfall data and calculating the areal mean rainfall, stakeholders can make informed decisions that promote sustainable water management and mitigate the impacts of extreme weather events. As our understanding of climate change evolves, continuous monitoring and analysis of areal mean rainfall will be essential for adapting to new environmental realities and ensuring the resilience of our ecosystems and communities.

降雨是地球水文循环的一个关键组成部分，在维持生态系统、农业和水供应方面发挥着至关重要的作用。理解降雨模式对有效的水资源管理和灾害准备至关重要。在气象学和水文学中，一个重要的概念是面积平均降雨量，指的是在特定时间段内某一特定区域的平均降雨量。这个指标使研究人员和政策制定者能够评估不同地区降水的分布和强度。通过计算特定区域的面积平均降雨量，科学家们可以更好地理解降雨在空间和时间上的变化，这对于管理水资源和预测潜在的洪水事件至关重要。面积平均降雨量的计算通常涉及收集感兴趣区域内各个气象站的降雨数据。将每个站点记录的总降雨量相加，然后除以站点数量，以获得平均值。这种方法提供了比依赖单个气象站更全面的降雨分布视图。例如，如果一个地区有多个气象站报告不同的降雨量，则面积平均降雨量将反映整个区域经历的总体降水，而不仅仅是一个局部测量。在农业背景下，理解面积平均降雨量对农民做出有关作物种植和灌溉的明智决策至关重要。不同的作物需要不同数量的水，了解平均降雨量可以帮助农民优化他们的实践，以确保健康的产量。例如，如果一个生长季节的面积平均降雨量低于预期，农民可能需要实施灌溉策略来弥补不足。相反，如果平均降雨量较高，他们可能需要考虑排水解决方案，以防止积水，这会对作物造成伤害。此外，城市规划者和土木工程师在设计基础设施（如排水系统和水库）时也依赖于面积平均降雨量的概念。通过分析历史降雨数据并计算面积平均降雨量，他们可以设计有效管理雨水径流的系统，并减少洪水风险。这在城市地区尤为重要，因为不透水表面增加了径流的体积和速度，从而导致潜在的洪水和水质问题。近年来，气候变化给理解和预测降雨模式带来了新的挑战。温度和大气条件的变化可能改变降水分布，使得监测面积平均降雨量变得越来越重要。长期研究跟踪这一指标的变化可以提供宝贵的见解，帮助指导适应策略。总之，面积平均降雨量的概念是水文学的基本方面，有助于理解不同地区的降雨分布。它的应用超越了气象学，延伸到农业、城市规划和气候科学。通过全面分析降雨数据并计算面积平均降雨量，利益相关者可以做出促进可持续水管理和减轻极端天气事件影响的明智决策。随着我们对气候变化的理解不断发展，持续监测和分析面积平均降雨量将对适应新的环境现实以及确保我们生态系统和社区的韧性至关重要。