2023年12月英语六级真题听力第二套（4）
当提及六级听力时，尤其是英语六级真题听力，我们不禁会想起那些考验英语学习者听力理解能力的挑战。作为英语六级考试的重要组成部分，六级听力部分不仅要求考生能够捕捉和识别出基本的语言信息，更需要他们在有限的时间内对复杂的语境进行准确理解，并快速作出反应。小编为大家整理了2023年12月英语六级真题听力第二套passage 2的内容，希望能对您有所帮助！
英文原文
passage 2
段落2
Climate scientists predict that many parts of the world will be increasingly prone to floods. This is a serious risk to human lives and property, so understanding and accurately forecasting flood risks is a key challenge for vulnerable cities around the globe. In 2017, Derek Waloftis of the Virginia Institute of Marine Science started a project called "catch the king".
气候科学家预测，世界许多地区将越来越容易发生洪水。这对人类生命和财产构成了严重威胁，因此理解和准确预测洪水风险是全球脆弱城市面临的关键挑战。2017年，弗吉尼亚海洋科学研究所的Derek Waloftis启动了一个名为“捕捉王者”的项目。
It uses a smartphone app to collect the data of ordinary citizens during high tides. He'll use those data to validate and improve his mathematical flooding model called Tidewatch. Loftice's mission is to know where the water goes before it goes there. But collecting necessary data and then processing that information quickly enough to make usable forecasts is anything but easy.
该项目使用智能手机应用程序在高潮期间收集普通公民的数据。他将使用这些数据来验证和改进他称为Tidewatch的数学洪水模型。Loftice的使命是在水到达之前就知道水会流向哪里。但是，收集必要的数据，然后迅速处理这些信息以做出可用的预测并不容易。
Accurate flood forecasts require an understanding of the situation on the ground. By the early 2000s, supercomputing had advanced enough that scientists could integrate weather forecasting models with such mediments, but they still didn't have the critically important ability to forecast fast moving floods in real time.
准确的洪水预测需要对地面情况的了解。到2000年代初，超级计算机已经足够先进，科学家可以将天气预报模型与这样的介质相结合，但他们仍然没有关键的实时预测快速移动洪水的能力。
So in 2017, Loftus and colleagues set up a group of 28 internet-connected water level sensors throughout the flood risk community of Norfolk, Virginia. The new sensors relay rough measurements about water height and movement to a computer at the Virginia Institute. Along with those sensors, hundreds of local citizens take photos of rising tides and transmit the real-time data to the institute. Scientists hope that the data collected by these citizens can help sharpen the ability to forecast exactly when and where damaging floods will occur.
因此，在2017年，Loftus和同事们在弗吉尼亚州诺福克洪水风险社区设置了28个互联网连接的水位传感器。新的传感器将关于水位和水流的大致测量数据传送到弗吉尼亚研究所的计算机上。除了这些传感器，数百名当地公民拍摄了涨潮的照片，并将实时数据传输到研究所。科学家希望这些公民收集的数据能够帮助提高预测破坏性洪水何时何地发生的准确性。
questions 12 to 15 are based on the passage you have just heard
问题12到15是基于你刚刚听到的文章。
question 12:what is said to be a key challenge for cities prone to floods
问题12：对于容易发生洪水的城市来说，关键挑战是什么？
question 13:for what purpose does Derek Loftus collect the data of ordinary citizens during high tides:
问题13：Derek Loftus在高潮期间收集普通公民的数据是为了什么目的？
question 14:what does the passage say is Derek Loftus's mission
问题14：文章中提到Derek Loftus的使命是什么？
question 15:what did Loftus and his colleagues do to obtain data about water height and movement
问题15：Loftus和他的同事们是如何获取关于水位和水流的数据的？
