首页|Sun Yat-Sen University Reports Findings in Machine Learning [Enhancing Pollution Management in Watersheds: A Critical Review of Total Maximum Daily Load (TMDL) Implementation]

Sun Yat-Sen University Reports Findings in Machine Learning [Enhancing Pollution Management in Watersheds: A Critical Review of Total Maximum Daily Load (TMDL) Implementation]

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from Zhuhai, Peop le’s Republic of China, by NewsRx correspondents, research stated,“The total ma ximum daily load (TMDL) program is a regulatory tool to ensure that water bodies meetquality standards by calculating the maximum pollutant load that a water b ody can assimilate whilemeeting water quality criteria. Implementing the TMDL p rogram poses significant challenges for waterquality management, especially in the context of climate change.”

ZhuhaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.2)