Robotics & Machine Learning Daily News2024,Issue(Jun.11) :81-82.

Southwest Jiaotong University Reports Findings in Machine Learning (Groundwater suitability assessment for irrigation and drinking purposes by integrating spati al analysis, machine learning, water quality index, and health risk model)

西南交通大学报告了机器学习的研究结果(通过整合多元分析、机器学习、水质指数和健康风险模型进行灌溉和饮用地下水适宜性评估)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :81-82.

Southwest Jiaotong University Reports Findings in Machine Learning (Groundwater suitability assessment for irrigation and drinking purposes by integrating spati al analysis, machine learning, water quality index, and health risk model)

西南交通大学报告了机器学习的研究结果(通过整合多元分析、机器学习、水质指数和健康风险模型进行灌溉和饮用地下水适宜性评估)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据《中国人民日报四川消息》,NewsRx记者的研究表明:“深入了解地下水硝酸盐污染与地下水水质及其相关风险对地下水管理具有重要意义,通过自组织映射分析、地理信息系统全局可视化等综合方法揭示了地下水水质的水化学特征、驱动力及硝酸盐非致癌性风险。”熵和灌溉水质量指数,以及人类健康风险模型。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Sichuan, People’s Repu blic of China, by NewsRx correspondents, research stated, “An in-depth understan ding of nitrate-contaminated surface water and groundwater quality and associate d risks is important for groundwater management. Hydrochemical characteristics a nd driving forces of groundwater quality and non-carcinogenic risks of nitrate w ere revealed by the integrated approaches of self-organizing map analysis, spati al visualization by geography information system, entropy and irrigation water q uality indices, and human health risk model.”

Key words

Sichuan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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