Domestic and industrial wastewater treatment plants(WWTPs)are facing formidable challenges in effectively eliminating emerging pollutants and conventional nutrients.In microbiome engineering,two approaches have been d...Domestic and industrial wastewater treatment plants(WWTPs)are facing formidable challenges in effectively eliminating emerging pollutants and conventional nutrients.In microbiome engineering,two approaches have been developed:a top-down method focusing on domesticating seed microbiomes into engineered ones,and a bottom-up strategy that synthesizes engineered microbiomes from microbial isolates.However,these approaches face substantial hurdles that limit their real-world applicability in wastewater treatment engineering.Addressing this gap,we propose the creation of a Global WWTP Microbiome-based Integrative Information Platform,inspired by the untapped microbiome and engineering data fromWWTPs and advancements in artificial intelligence(AI).This open platform integrates microbiome and engineering information globally and utilizes AI-driven tools for identifying seed microbiomes for new plants,providing technical upgrades for existing facilities,and deploying microbiomes for accidental pollution remediation.Beyond its practical applications,this platform has significant scientific and social value,supporting multidisciplinary research,documenting microbial evolution,advancing Wastewater-Based Epidemiology,and enhancing global resource sharing.Overall,the platform is expected to enhance WWTPs’performance in pollution control,safeguarding a harmonious and healthy future for human society and the natural environment.展开更多
针对当前铁路沿线环境安全监测存在的问题,设计铁路沿线安全环境治理信息平台,采用建筑信息模型(BIM,Building Information Modeling)+地理信息系统(GIS,Geographic Information System)融合服务、微服务网关、数据统一接口、单点登录(S...针对当前铁路沿线环境安全监测存在的问题,设计铁路沿线安全环境治理信息平台,采用建筑信息模型(BIM,Building Information Modeling)+地理信息系统(GIS,Geographic Information System)融合服务、微服务网关、数据统一接口、单点登录(SSO,Single Sign-On)统一安全认证等技术,实现铁路两侧500 m范围内、安全保护区、铁路限界内区域的危情及安全隐患全方位监测与管理,提高铁路沿线安全环境治理的信息化、精细化水平。展开更多
基金financially supported by the National Natural Science Foundation of China(grant number 51938001,52170185,42007291,and 52070111)the China Postdoctoral Science Foundation(grant number 2022M721815).
文摘Domestic and industrial wastewater treatment plants(WWTPs)are facing formidable challenges in effectively eliminating emerging pollutants and conventional nutrients.In microbiome engineering,two approaches have been developed:a top-down method focusing on domesticating seed microbiomes into engineered ones,and a bottom-up strategy that synthesizes engineered microbiomes from microbial isolates.However,these approaches face substantial hurdles that limit their real-world applicability in wastewater treatment engineering.Addressing this gap,we propose the creation of a Global WWTP Microbiome-based Integrative Information Platform,inspired by the untapped microbiome and engineering data fromWWTPs and advancements in artificial intelligence(AI).This open platform integrates microbiome and engineering information globally and utilizes AI-driven tools for identifying seed microbiomes for new plants,providing technical upgrades for existing facilities,and deploying microbiomes for accidental pollution remediation.Beyond its practical applications,this platform has significant scientific and social value,supporting multidisciplinary research,documenting microbial evolution,advancing Wastewater-Based Epidemiology,and enhancing global resource sharing.Overall,the platform is expected to enhance WWTPs’performance in pollution control,safeguarding a harmonious and healthy future for human society and the natural environment.
文摘针对当前铁路沿线环境安全监测存在的问题,设计铁路沿线安全环境治理信息平台,采用建筑信息模型(BIM,Building Information Modeling)+地理信息系统(GIS,Geographic Information System)融合服务、微服务网关、数据统一接口、单点登录(SSO,Single Sign-On)统一安全认证等技术,实现铁路两侧500 m范围内、安全保护区、铁路限界内区域的危情及安全隐患全方位监测与管理,提高铁路沿线安全环境治理的信息化、精细化水平。
