VOA常速英语听力练习素材：预测雪中的水分

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VOA常速英语，作为国际新闻广播的标杆，以其地道的发音、丰富的时事内容，成为提升英语听力与理解能力的关键途径。它不仅让全球听众即时了解世界动态，还促进了跨文化交流，对于英语学习者而言，是不可或缺的听力训练资源，对提升语言综合能力至关重要。让我们一起走进今天的VOA常速英语听力练习：预测雪中的水分。

英文原文

Snowfall in Colorado's Rocky Mountains has declined severely in the past two decades, meaning less water to sustain life in the arid region.

科罗拉多州落基山脉的降雪量在过去二十年中急剧下降，这意味着干旱地区可用于维持生命的水资源更少了。

Noah Malage is a snow researcher at the University of Colorado's Institute of Arctic and Alpine Research in the West United States.

诺亚·马拉奇是美国西部科罗拉多大学北极与高山研究所的一名降雪研究人员。

60 million people depend on snowmelt for their water supply and globally, it's a little over 1 billion people.

全球有6000万人依赖融雪来获取水源，而这一数字在全球范围内则超过10亿人。

Moloch uses remote sensing technology to estimate how much water will become available when snows melt. So, darker blues represent more snow, lighter blues represent less snow.

莫洛克利用遥感技术来估算融雪后会有多少水可供使用。因此，深蓝色代表更多的雪，浅蓝色代表较少的雪。

Using satellite images, computer modeling, and on-the-ground snow surveys, Moloch and his team are improving the accuracy of snowmelt forecasting.

通过卫星图像、计算机模型以及地面降雪调查，莫洛克及其团队正在提高融雪预报的准确性。

This is critical information for water managers deciding how much water to release from a dam and when to do it.

这对于决定从水坝中释放多少水以及何时释放的水资源管理者来说至关重要。

When you improve the accuracy of the forecast, then you actually increase the efficiency at which water is allocated, which is basically like introducing more usable water into the system.

当你提高了预报的准确性时，你实际上就提高了水资源的分配效率，这基本上就像是在系统中引入了更多可用的水。

Another innovation is snow mapping from airplanes, developed by NASA. The planes use LiDAR, a type of laser scanner, to measure the Earth's surface.

另一项创新是由美国国家航空航天局开发的飞机降雪测绘技术。这些飞机使用激光雷达（一种激光扫描仪）来测量地球表面。

If you take the height that you measured in summer and subtract it from the height that you measured in winter, that gives you a direct measurement of the snow depth.

如果你把夏天测量的高度减去冬天测量的高度，那么你就可以直接得到降雪的深度。

Measuring snow manually still provides essential data, because water density varies greatly in snow. But these surveys are limited by the number of sites that teams can visit.

尽管手动测量降雪仍然提供重要的数据，因为降雪中的水分密度差异很大，但这些调查受到团队可以访问的地点数量的限制。

Adding the remote sensing data creates a far more complete picture.

加入遥感数据可以形成更加完整的图像。

As climate change disrupts established patterns, accurately predicting water availability from snow will become more important to meet the needs of the many people who depend on it.

随着气候变化破坏了既定的模式，准确预测降雪带来的水资源可用性对于满足许多依赖这些资源的人的需求将变得更加重要。