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编辑者： Svitlana Velhush
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Google 与 NASA 喷气推进实验室开发出一种人工智能，可从太空追踪全球甲烷排放。该模型被命名为 MAPL-EMIT，并在科学期刊《美国国家科学院院刊》上发布。
该工具使用安装在国际空间站上的 EMIT 光谱仪的数据。它可自动检测并定位甲烷来源，包括羽流相互重叠的情况。
该模型在 3,6 百万条经物理模拟的甲烷羽流上进行了训练。这使其能够更好地应对复杂地形，并在以往需要人工分析的条件下识别泄漏。
测试结果显示，MAPL-EMIT 发现的甲烷泄漏比人类专家多 50%。此外，该系统还在全球范围内发现了超过 23 千条隐藏羽流，其中包括 24 条来自 25 个最大排放源垃圾填埋场的羽流。
城市固体废物填埋场是美国三大主要人为甲烷来源之一。此类点位的自动化搜寻有助于加快 targeted mitigation——即定向减排。
这一合作延续了 Google 在应对超级污染源方面的工作。此前，该公司已与 AMP 建立合作伙伴关系，以进行废物处理和碳信用生成。
这将如何影响未来几年全球减少甲烷排放的努力？
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