电力科学与工程
電力科學與工程
전력과학여공정
Electric Power Science and Engineering
2015年
9期
22-27,32
,共7页
马双忱%于伟静%柴峰%张立男%杨静%华继洲
馬雙忱%于偉靜%柴峰%張立男%楊靜%華繼洲
마쌍침%우위정%시봉%장립남%양정%화계주
保定市%霾天气%污染物%气象因素
保定市%霾天氣%汙染物%氣象因素
보정시%매천기%오염물%기상인소
Baoding City%haze%pollutants%meterological factors
选取京津冀典型地区———保定市作为研究对象,分析了保定市霾特征并且从污染物与气象因素角度对保定市霾的成因进行探究。首先,通过对2005~2013期间年均霾日数以及2013年月均霾日数的整理,发现保定市年均霾日数达到100天左右,且冬季月份霾日数最多,春节月份最少。其次,结合2014年2月、3月常规污染物( CO、 SO2、 NO2、 PM10、 PM2?5)数据与能见度数值的分析,发现与低能见度(<10 km)相关的4种污染物( CO与能见度不具有相关性)浓度阈值分别为75 ug/m3,60 ug/m3,200 ug/m3,100 ug/m3。当污染物浓度高于此值时,能见度变化不明显;当污染物浓度低于此值时,能见度变化明显。另外,通过分析2013年全年气象因素(相对湿度、温度、风速、气压、雨量)与能见度的变化,发现相对湿度、风速对能见度的影响最大,而小雨可以加重霾污染。最后,通过对比2013年1、2月霾形成因素与往年的变化,表明相对湿度增加是此时期霾污染加重的主要原因。
選取京津冀典型地區———保定市作為研究對象,分析瞭保定市霾特徵併且從汙染物與氣象因素角度對保定市霾的成因進行探究。首先,通過對2005~2013期間年均霾日數以及2013年月均霾日數的整理,髮現保定市年均霾日數達到100天左右,且鼕季月份霾日數最多,春節月份最少。其次,結閤2014年2月、3月常規汙染物( CO、 SO2、 NO2、 PM10、 PM2?5)數據與能見度數值的分析,髮現與低能見度(<10 km)相關的4種汙染物( CO與能見度不具有相關性)濃度閾值分彆為75 ug/m3,60 ug/m3,200 ug/m3,100 ug/m3。噹汙染物濃度高于此值時,能見度變化不明顯;噹汙染物濃度低于此值時,能見度變化明顯。另外,通過分析2013年全年氣象因素(相對濕度、溫度、風速、氣壓、雨量)與能見度的變化,髮現相對濕度、風速對能見度的影響最大,而小雨可以加重霾汙染。最後,通過對比2013年1、2月霾形成因素與往年的變化,錶明相對濕度增加是此時期霾汙染加重的主要原因。
선취경진기전형지구———보정시작위연구대상,분석료보정시매특정병차종오염물여기상인소각도대보정시매적성인진행탐구。수선,통과대2005~2013기간년균매일수이급2013년월균매일수적정리,발현보정시년균매일수체도100천좌우,차동계월빈매일수최다,춘절월빈최소。기차,결합2014년2월、3월상규오염물( CO、 SO2、 NO2、 PM10、 PM2?5)수거여능견도수치적분석,발현여저능견도(<10 km)상관적4충오염물( CO여능견도불구유상관성)농도역치분별위75 ug/m3,60 ug/m3,200 ug/m3,100 ug/m3。당오염물농도고우차치시,능견도변화불명현;당오염물농도저우차치시,능견도변화명현。령외,통과분석2013년전년기상인소(상대습도、온도、풍속、기압、우량)여능견도적변화,발현상대습도、풍속대능견도적영향최대,이소우가이가중매오염。최후,통과대비2013년1、2월매형성인소여왕년적변화,표명상대습도증가시차시기매오염가중적주요원인。
This paper chooses Baoding City, a typical city in Beijing-Tianjin-Hebei region, as the research ob?ject and analyzes its haze characteristics and formation causes from the aspects of pollutants and meteorological fac?tors. First, the annual haze days between 2005 and 2013 and monthly haze days in 2013 were analyzed, indicating that the haze pollution in Baoding City is serious ( about 100 days per year) and that the maximum and minimum values in a year occur in winter and spring respectively. Then, the data of normal pollutants ( CO, SO2, NO2, PM10, PM2?5) in February and March of 2014 and visibility were analyzed, and the results showed that the pollu?tants'( CO excluded due to irrelevance) threshold concentration corresponding to the low visibility ( <10 km) are about 100ug/m3, 50ug/m3, 250ug/m3, and 150ug/m3 respectively. Further analysis indicates that the relation?ship between pollutants concentrations and visibility appears in a non?linear correlation. When pollutants concentra?tions are very high ( above threshold concentrations) , the change in visibility is not noticeable. By contrast, when pollutants concentrations are lower than threshold concentrations, the change in visibility is very sensitive to pollu?tants concentrations. In addition, the study shows that RH and wind speed have a significant effect on visibility, and small rain can make haze worse. Finally, by comparing haze formation causes in January and February of 2013 with those in previous years, it was found that the severity of haze in January and February of 2013 was caused by the increase of RH.