{"title":"A Light Pollution Comprehensive Index Model Based on EWM","authors":"","doi":"10.23977/envcp.2023.020103","DOIUrl":"https://doi.org/10.23977/envcp.2023.020103","url":null,"abstract":"Light pollution is a major problem in modern society. In this paper, a Light Pollution Comprehensive Index (LPCI) model is established with three dimensions: environment, society and climate, and the weight of each index is calculated by the entropy weight method. The result shows that social factors account for the largest proportion of weight. The model is also used to evaluate China's light pollution index. The result shows that Shanghai had the highest light pollution index, while Gansu had the lowest.","PeriodicalId":192126,"journal":{"name":"Environment and Climate Protection","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135497110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis on the Characteristics of High-Temperature Heat Wave Weather in Jilin Province from 1961 to 2018","authors":"","doi":"10.23977/envcp.2023.020104","DOIUrl":"https://doi.org/10.23977/envcp.2023.020104","url":null,"abstract":"In this study, meteorological data from 47 stations in Jilin Province during June to August from 1961 to 2018 are examined. The data includes daily maximum temperature, wind speed, and relative humidity. The analysis focuses on the change patterns of daily maximum temperature (Tmax), perceived temperature (ATmax), and high temperature heat waves (3d ≥ 35°C). The impact of meteorological factors on daily maximum perceived temperature is assessed using gray correlation degree and partial correlation coefficient. The researchresultsshow that from 1961 to 2018, the average values of Tmax from June to August of each meteorological station in Jilin Province were 25.6℃, 27.5℃ and 26.6℃ respectively, and the average climatic inclination rates were 0.192, 0.134 and 0.153℃ (10a)-1 respectively; the average values of ATmax were 26.6℃, 30.2℃ and 29.3℃ respectively, and the average climatic inclination rates were 0.339, 0.238 and 0.234℃(10a)-1. From June to August, the average numbers of days with the maximum air temperature ≥35℃ of each station were 0.29, 0.26 and 0.10 dof-1, and the overall average is 0.64 dd -1, with the maximum in June, the secondary in July and the minimum in August. The increase rate of the number of days with the maximum air temperature ≥35℃ from June to August was 0.132d second-1. The maximum number of days with high temperature occurred in the western part of Jilin Province, and the minimum occurred in the central and southern part. The average number of times of high-temperature heat waves at each station was 0.041 per year, and the increase rate of heat waves was 0.012 times(10a)-1. The high-value areas were mainly distributed in the west of Jilin Province, and basically no high-temperature heat waves occurred in the central and southern regions. Analysis of the grey correlation coefficient shows that the maximum somatosensory temperature is most closely related to the maximum air temperature, followed by relative humidity, and wind speed is the least relewant.","PeriodicalId":192126,"journal":{"name":"Environment and Climate Protection","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135497610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analytical solution of advection diffusion equation in two dimensions using different shapes of wind speed and eddy diffusivity","authors":"K. Essa, Sawsan I. M. Elsaied","doi":"10.23977/envcp.2023.020101","DOIUrl":"https://doi.org/10.23977/envcp.2023.020101","url":null,"abstract":": The diffusion equation has been derived in two dimensions using two methods: variable separation and substituting. We compared the results from these solutions to the results from the Copenhagen experiment, taking into consideration the differences in wind speed and eddy diffusivity.","PeriodicalId":192126,"journal":{"name":"Environment and Climate Protection","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123764575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of urban air quality and pollutant changes in Shandong Province from 2015 to 2019","authors":"Zhihao Cui, Meijuan Liu, Lichen Xue, Yang Sun","doi":"10.23977/envcp.2023.020102","DOIUrl":"https://doi.org/10.23977/envcp.2023.020102","url":null,"abstract":": In this paper, the heavily polluted cities of Jinan, Zibo, Dongying and Linyi in Shandong Province were taken as the study area. Based on the daily air quality and pollutant concentration data from 2015 to 2019, the change of air quality and pollutant concentration in the study area was analyzed from four time scales of year, month, working day and day by time series analysis, combined with meteorological, industrial and other influencing factors. The analysis showed that: (1) With the implementation of the blue Sky Defense plan in 2018, the air quality in the study area was significantly improved, and the decrease of SO2, PM2.5 and CO was the largest, the percentage reduction was 41.5%, 62.36%, 39.35%; (2): Monthly variation: it shows a \"W\" -shaped variation, with severe pollution in winter and light pollution in early autumn; (3) Working days and rest days show an \"S\" -shaped change, with Tuesday as the pollution trough and Saturday as the pollution peak; (4) A \"convex\" type of fluctuation was observed, with the heaviest pollution in the middle of the month and lighter pollution in the beginning and end of the month.","PeriodicalId":192126,"journal":{"name":"Environment and Climate Protection","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129742608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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