PandaX-4T is a xenon-based multi-purpose experiment,focusing on particle and astrophysics research.The data quality monitoring system plays a crucial role in the experiment.This system enables the prompt detection of ...PandaX-4T is a xenon-based multi-purpose experiment,focusing on particle and astrophysics research.The data quality monitoring system plays a crucial role in the experiment.This system enables the prompt detection of potential issues during data collection.In order to meet the upgrade requirements of the experiment,we have implemented several updates to improve overall data throughput and provide users with more comprehensive information.As a result,the system is capable of monitoring half of the collected data in future operations of the PandaX-4T experiment.Furthermore,with updated hardware,the system is also well equipped to meet the requirements of the future multi-ten-tonne-level PandaX-xT experiment.展开更多
Purpose The end cap time of flight(TOF)at Beijing spectrometer was upgraded with multi-gap resistive plate chamber technology in order to improve the particle identification capability in 2015.The offline data quality...Purpose The end cap time of flight(TOF)at Beijing spectrometer was upgraded with multi-gap resistive plate chamber technology in order to improve the particle identification capability in 2015.The offline data quality monitoring is a critical aspect of the data processing chain aiming at providing data with good quality for physics analyses.Methods An offline data quality monitoring tool for upgraded end cap TOF has been developed to provide feedback about the functioning and performance of detector hardware and data processing chain.Results Detector information and reconstructed time-of-flight characteristics of charged tracks are filled into plots using full Bhabha events reconstruction results,and then,these plots are used to assess the operational conditions of the detector and the quality of the data by the experts.Conclusion This paper is describing the design and the content of performance of the offline data quality monitoring of end cap TOF and the data quality performance achieved during last 2 years’physical data taking.展开更多
Background The end-cap time-of-flight(TOF)at Beijing Spectrometer was upgraded with multi-gap resistive plate chamber technology in order to improve the particle identification capability in 2015.The offline data qual...Background The end-cap time-of-flight(TOF)at Beijing Spectrometer was upgraded with multi-gap resistive plate chamber technology in order to improve the particle identification capability in 2015.The offline data quality monitoring(ODQM)is a critical aspect of the data processing chain aiming at providing data with good quality for physics analyses.Method An ODQM tool for upgraded end-cap TOF has been developed to provide feedback about the functioning and performance of detector hardware and data processing chain.Detector information and reconstructed time-of-flight characteristics of charged tracks are filled into plots using full Bhabha events’reconstruction results,and then,these plots are used to assess the operational conditions of the detector and the quality of the data by the experts.Result This paper describes the design and the content of performance of the ODQM of end-cap TOF and the data quality performance achieved during the last 2-year physical data taking.展开更多
At present,water pollution has become an important factor affecting and restricting national and regional economic development.Total phosphorus is one of the main sources of water pollution and eutrophication,so the p...At present,water pollution has become an important factor affecting and restricting national and regional economic development.Total phosphorus is one of the main sources of water pollution and eutrophication,so the prediction of total phosphorus in water quality has good research significance.This paper selects the total phosphorus and turbidity data for analysis by crawling the data of the water quality monitoring platform.By constructing the attribute object mapping relationship,the correlation between the two indicators was analyzed and used to predict the future data.Firstly,the monthly mean and daily mean concentrations of total phosphorus and turbidity outliers were calculated after cleaning,and the correlation between them was analyzed.Secondly,the correlation coefficients of different times and frequencies were used to predict the values for the next five days,and the data trend was predicted by python visualization.Finally,the real value was compared with the predicted value data,and the results showed that the correlation between total phosphorus and turbidity was useful in predicting the water quality.展开更多
Many countries are paying more and more attention to the protection of water resources at present,and how to protect water resources has received extensive attention from society.Water quality monitoring is the key wo...Many countries are paying more and more attention to the protection of water resources at present,and how to protect water resources has received extensive attention from society.Water quality monitoring is the key work to water resources protection.How to efficiently collect and analyze water quality monitoring data is an important aspect of water resources protection.In this paper,python programming tools and regular expressions were used to design a web crawler for the acquisition of water quality monitoring data from Global Freshwater Quality Database(GEMStat)sites,and the multi-thread parallelism was added to improve the efficiency in the process of downloading and parsing.In order to analyze and process the crawled water quality data,Pandas and Pyecharts are used to visualize the water quality data to show the intrinsic correlation and spatiotemporal relationship of the data.展开更多
Guangzhou is the capital and largest city（land area：7287 km2）of Guangdong province in South China.The air quality in Guangzhou typically worsens in November due to unfavorable meteorological conditions for pollutan...Guangzhou is the capital and largest city（land area：7287 km2）of Guangdong province in South China.The air quality in Guangzhou typically worsens in November due to unfavorable meteorological conditions for pollutant dispersion.During the Guangzhou Asian Games in November 2010,the Guangzhou government carried out a number of emission control measures that significantly improved the air quality.In this paper,we estimated the acute health outcome changes related to the air quality improvement during the 2010 Guangzhou Asian Games using a next-generation,fully-integrated assessment system for air quality and health benefits.This advanced system generates air quality data by fusing model and monitoring data instead of using monitoring data alone,which provides more reliable results.The air quality estimates retain the spatial distribution of model results while calibrating the value with observations.The results show that the mean PM2.5concentration in November 2010 decreased by 3.5μg/m^3 compared to that in 2009 due to the emission control measures.From the analysis,we estimate that the air quality improvement avoided 106 premature deaths,1869 cases of hospital admission,and 20,026 cases of outpatient visits.The overall cost benefit of the improved air quality is estimated to be 165 million CNY,with the avoided premature death contributing 90%of this figure.The research demonstrates that Ben MAP-CE is capable of assessing the health and cost benefits of air pollution control for sound policy making.展开更多
基金supported by the grants from National Natural Science Foundation of China(No.12175139).
文摘PandaX-4T is a xenon-based multi-purpose experiment,focusing on particle and astrophysics research.The data quality monitoring system plays a crucial role in the experiment.This system enables the prompt detection of potential issues during data collection.In order to meet the upgrade requirements of the experiment,we have implemented several updates to improve overall data throughput and provide users with more comprehensive information.As a result,the system is capable of monitoring half of the collected data in future operations of the PandaX-4T experiment.Furthermore,with updated hardware,the system is also well equipped to meet the requirements of the future multi-ten-tonne-level PandaX-xT experiment.
基金Supported in part by National Natural Science Foundation of China(11575225,11875277,U1232201,11605220,U1832204)National Key Basic Research Program of China(2015CB856700)Chinese Academy of Sciences(1G201331231172010).
文摘Purpose The end cap time of flight(TOF)at Beijing spectrometer was upgraded with multi-gap resistive plate chamber technology in order to improve the particle identification capability in 2015.The offline data quality monitoring is a critical aspect of the data processing chain aiming at providing data with good quality for physics analyses.Methods An offline data quality monitoring tool for upgraded end cap TOF has been developed to provide feedback about the functioning and performance of detector hardware and data processing chain.Results Detector information and reconstructed time-of-flight characteristics of charged tracks are filled into plots using full Bhabha events reconstruction results,and then,these plots are used to assess the operational conditions of the detector and the quality of the data by the experts.Conclusion This paper is describing the design and the content of performance of the offline data quality monitoring of end cap TOF and the data quality performance achieved during last 2 years’physical data taking.
基金National Natural Science Foundation of China(11575225,11875277,U1232201,11605220,U1832204)National Key Basic Research Program of China(2015CB856700)Chinese Academy of Sciences(1G201331231172010).
文摘Background The end-cap time-of-flight(TOF)at Beijing Spectrometer was upgraded with multi-gap resistive plate chamber technology in order to improve the particle identification capability in 2015.The offline data quality monitoring(ODQM)is a critical aspect of the data processing chain aiming at providing data with good quality for physics analyses.Method An ODQM tool for upgraded end-cap TOF has been developed to provide feedback about the functioning and performance of detector hardware and data processing chain.Detector information and reconstructed time-of-flight characteristics of charged tracks are filled into plots using full Bhabha events’reconstruction results,and then,these plots are used to assess the operational conditions of the detector and the quality of the data by the experts.Result This paper describes the design and the content of performance of the ODQM of end-cap TOF and the data quality performance achieved during the last 2-year physical data taking.
基金the National Natural Science Foundation of China(No.51775185)Natural Science Foundation of Hunan Province(No.2022JJ90013)+1 种基金Intelligent Environmental Monitoring Technology Hunan Provincial Joint Training Base for Graduate Students in the Integration of Industry and Education,and Hunan Normal University University-Industry Cooperation.the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province,Open Project,Grant Number 20181901CRP04.
文摘At present,water pollution has become an important factor affecting and restricting national and regional economic development.Total phosphorus is one of the main sources of water pollution and eutrophication,so the prediction of total phosphorus in water quality has good research significance.This paper selects the total phosphorus and turbidity data for analysis by crawling the data of the water quality monitoring platform.By constructing the attribute object mapping relationship,the correlation between the two indicators was analyzed and used to predict the future data.Firstly,the monthly mean and daily mean concentrations of total phosphorus and turbidity outliers were calculated after cleaning,and the correlation between them was analyzed.Secondly,the correlation coefficients of different times and frequencies were used to predict the values for the next five days,and the data trend was predicted by python visualization.Finally,the real value was compared with the predicted value data,and the results showed that the correlation between total phosphorus and turbidity was useful in predicting the water quality.
基金This research was funded by the National Natural Science Foundation of China(No.51775185)Scientific Research Fund of Hunan Province Education Department(18C0003)+2 种基金Research project on teaching reform in colleges and universities of Hunan Province Education Department(20190147)Innovation and Entrepreneurship Training Program for College Students in Hunan Province(2021-1980)Hunan Normal University University-Industry Cooperation.This work is implemented at the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province,Open project,Grant Number 20181901CRP04.
文摘Many countries are paying more and more attention to the protection of water resources at present,and how to protect water resources has received extensive attention from society.Water quality monitoring is the key work to water resources protection.How to efficiently collect and analyze water quality monitoring data is an important aspect of water resources protection.In this paper,python programming tools and regular expressions were used to design a web crawler for the acquisition of water quality monitoring data from Global Freshwater Quality Database(GEMStat)sites,and the multi-thread parallelism was added to improve the efficiency in the process of downloading and parsing.In order to analyze and process the crawled water quality data,Pandas and Pyecharts are used to visualize the water quality data to show the intrinsic correlation and spatiotemporal relationship of the data.
基金provided by the US Environmental Protection Agency(No.5-312-0212979-51786L)the Guangzhou EnvironmentalProtection Bureau(No.x2hj B2150020)+3 种基金the project of an integrated modeling and filed observational verification on the deposition of typical industrial point-source mercury emissions in the Pearl River Deltsupported by the funding of the Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control(No.2011A060901011)the project of Atmospheric Haze Collaboration Control Technology Design from the Chinese Academy of Sciences(No.XDB05030400)the National Environmental Protection Public Welfare Industry Targeted Research Foundation of China(No.201409019)
文摘Guangzhou is the capital and largest city（land area：7287 km2）of Guangdong province in South China.The air quality in Guangzhou typically worsens in November due to unfavorable meteorological conditions for pollutant dispersion.During the Guangzhou Asian Games in November 2010,the Guangzhou government carried out a number of emission control measures that significantly improved the air quality.In this paper,we estimated the acute health outcome changes related to the air quality improvement during the 2010 Guangzhou Asian Games using a next-generation,fully-integrated assessment system for air quality and health benefits.This advanced system generates air quality data by fusing model and monitoring data instead of using monitoring data alone,which provides more reliable results.The air quality estimates retain the spatial distribution of model results while calibrating the value with observations.The results show that the mean PM2.5concentration in November 2010 decreased by 3.5μg/m^3 compared to that in 2009 due to the emission control measures.From the analysis,we estimate that the air quality improvement avoided 106 premature deaths,1869 cases of hospital admission,and 20,026 cases of outpatient visits.The overall cost benefit of the improved air quality is estimated to be 165 million CNY,with the avoided premature death contributing 90%of this figure.The research demonstrates that Ben MAP-CE is capable of assessing the health and cost benefits of air pollution control for sound policy making.
