Artificial Intelligence GHG Monitoring for a Voluntary Carbon Certification
作者机构：Department of Electronic Biologyand Manufacturing EngineeringD&D ConsultingVeniceMestre 30171EU-Italy Department of BiologyD&D ConsultingVeniceMestre 30171EU-Italy
出 版 物：《Journal of Environmental Science and Engineering(B)》 (环境科学与工程（B）)
年 卷 期：2023年第12卷第1期
页 面：1-16页
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：AI model data logger IoT CCS CO_(2) UNI BNeutral VERRA VCS wetland
摘 要：Generating carbon credits in rural and wetland lagoon environments is important for the economic and social survival of the *** are many methodologies to study and certificate the Carbon Sink such as the ISO 14064,VCS VERRA,UNI-BNEUTRAL,GOLD STANDARD and *** methods done before 2018 are obsolete since research has developed greatly in recent *** methods are all different,but they share a continuous and real monitoring of the environment to ensure a true CCS(Carbon Capture and Storage)*** the case of absence of monitoring,the method uses a system of provision of carbon credits called“buffer.This system allows maintaining a credit-generating activity even in the presence of important anomalies due to adverse weather *** research shows the complex analytic web of the different sensors in a continuous environmental monitoring system via GSM(Global System for Mobile)Communication and IoT(Internet of Things).By 2011,a monitoring network was installed in the wetland environments of Northern Italy Venetian Lagoon(UNESCO heritage)and used to understand and validate,the CCS *** cloud platform is used to collect data and is used to send alert to the user if the biological sink is reversed to *** obtained large dataset was used to prepare a AI(Artificial Intelligence)model“CCS wetland forecastby Google *** model can fit the trend to avoid the direct and spot chemical field analysis and demonstrate the real efficacy of the model *** network is now implemented by the Italian national method UNI PdR 99:2021 BNeutral generation of carbon credits.
维普期刊数据库