湖州地区辐射影响因子分析
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摘要
[目的]为了探究湖州地区太阳辐射情况,利用2009年1月至2017年12月湖州国家基本气象站的辐射观测资料、地面常规观测资料以及大气成分观测资料。[方法]文章分析了湖州地区太阳辐射的变化特征,并检验了太阳辐射与部分气象要素极值的相关性。[结果]太阳辐射日变化基本呈抛物线型。6月因湖州地区进入梅雨季节,阴雨寡照,并不是一年中辐射最大的月份,一年中辐射的最大值出现在7月,之后逐渐下降。按季节统计,夏季辐射最大,春季次之,秋季比冬季略高。除了2015年以外,近几年辐射总量平稳中稍有下降,考虑到可能存在的辐射年际变化,并不能就此认为该地区的辐射处于下降趋势中。辐射强度与总云量、低云量、最小相对湿度为负相关,与日最高温度、日最高地温呈正相关。晴天时,太阳辐射强度与颗粒物浓度PM10、PM2. 5、PM1三者相关性基本一致,均为春、秋和冬季呈负相关,夏季呈正相关,两者的关系应该按季节具体分析。[结论]影响湖州地区辐射的因子有很多,部分气象因子相关性较好,颗粒物浓度不能简单看成全年太阳辐射的影响因子。
The research is intend to explore the solar radiation situation in Huzhou,so as to prove the correlation between solar radiation and extreme values of some meteorological elements. The radiation observation data of Huzhou National Basic Meteorological Station,the surface conventional observation data and the atmospheric composition observation data from January 2009 to December 2017 were used to analyze the variation characteristics of solar radiation in Huzhou area and proved its correlation with other meteorological elements. The result shows that the diurnal variation of ultraviolet radiation is basically parabolic. June,due to the rainy season in Huzhou,is not the largest radiation month in a year. The maximum radiation in a year appears in July,and then declined gradually. According to the seasonal statistics,the radiation in summer is the highest,followed by spring,and it is slightly higher in autumn than in winter. Except for 2015,the total radiation has declined slightly in recent years. Considering the possible interannual variations of radiation,it is not considered that the radiation in this region is in a declining trend. Solar radiation intensity is negatively correlated with total cloud cover,low cloud cover and minimum relative humidity,positively correlated with daily maximum temperature and maximum ground temperature,and is consistent with PM10,PM2. 5,PM1 on sunny days,which is negatively correlated in spring,autumn and winter,positively correlated in summer. The relationship between total radiation and particulate matter concentration should be analyzed according to the season. There are many factors affecting the radiation in Huzhou area,some meteorological factors have a good correlation,and the concentration of particulate matter cannot simply be regarded as the influence factor of the annual solar radiation.
The research is intend to explore the solar radiation situation in Huzhou,so as to prove the correlation between solar radiation and extreme values of some meteorological elements. The radiation observation data of Huzhou National Basic Meteorological Station,the surface conventional observation data and the atmospheric composition observation data from January 2009 to December 2017 were used to analyze the variation characteristics of solar radiation in Huzhou area and proved its correlation with other meteorological elements. The result shows that the diurnal variation of ultraviolet radiation is basically parabolic. June,due to the rainy season in Huzhou,is not the largest radiation month in a year. The maximum radiation in a year appears in July,and then declined gradually. According to the seasonal statistics,the radiation in summer is the highest,followed by spring,and it is slightly higher in autumn than in winter. Except for 2015,the total radiation has declined slightly in recent years. Considering the possible interannual variations of radiation,it is not considered that the radiation in this region is in a declining trend. Solar radiation intensity is negatively correlated with total cloud cover,low cloud cover and minimum relative humidity,positively correlated with daily maximum temperature and maximum ground temperature,and is consistent with PM10,PM2. 5,PM1 on sunny days,which is negatively correlated in spring,autumn and winter,positively correlated in summer. The relationship between total radiation and particulate matter concentration should be analyzed according to the season. There are many factors affecting the radiation in Huzhou area,some meteorological factors have a good correlation,and the concentration of particulate matter cannot simply be regarded as the influence factor of the annual solar radiation.
引文
[1]喻丽,王姝苏,褚荣浩,等.近30年中国太阳总辐射时空特征及趋势分析.安徽农业科学. 2017,45(33):192-196,239.
[2]李小军,辛晓洲,彭志晴. 2003—2012年中国地表太阳辐射时空变化及其影响因子.太阳能学报. 2017,38(11):3057-3066.
[3]左晨,侯玉龙.我国新疆地区太阳辐射时空变化分析.安徽农业科学. 2017,45(23):172-178.
[4]王占林,杨发源. 55年以来青海省主要城镇太阳总辐射变化特征研究.青海环境. 2017,27(3):140-145,155.
[5]刘昌明,刘小莽,郑红星,等.海河流域太阳辐射变化及其原因分析.地理学报. 2009,64(11):1283-1291.
[6]赵娜,王治国,张复明,等.海河流域太阳辐射计算模型评估及时空变异规律.气象与环境科学. 2017,40(3):53-58.
[7]陈震,王冠,王丹.唐山市太阳总辐射变化特征分析.现代农业科技. 2017,16:187-188.
[8]司福意.焦作市太阳辐射资源分析评估.气象与环境科学. 2013,36(2):87-91.
[9]程海军,刘军.黄冈市太阳能资源特征分析与评估.农技服务. 2017,34(6):9-11.
[10]唐晓萍,陈志军,何泽能. 1961—2010年重庆地区气温和总辐射变化分析.高原山地气象研究. 2013,33(3):43-47.
[11]陈飞霖,麦宗天,郑华珠.阳江市2016年辐射变化特征分析.南方农业. 2018,12(02):121-122.
[12]陈玲,罗鹍,袁志扬,等.东莞市辐射强度特征及影响因子.热带气象学报. 2014,30(3):585-593.
[13]汪凯,叶红,陈峰,等.中国东南部太阳辐射变化特征、影响因素及其对区域气候的影响.生态环境学报. 2010,19(5):1119-1124.
[14]胡森林,刘红年.合肥城市气溶胶浓度对太阳辐射的影响.中国环境科学学会学术年会论文集.厦门;中国环境科学学会,2017,1131-1136.
[2]李小军,辛晓洲,彭志晴. 2003—2012年中国地表太阳辐射时空变化及其影响因子.太阳能学报. 2017,38(11):3057-3066.
[3]左晨,侯玉龙.我国新疆地区太阳辐射时空变化分析.安徽农业科学. 2017,45(23):172-178.
[4]王占林,杨发源. 55年以来青海省主要城镇太阳总辐射变化特征研究.青海环境. 2017,27(3):140-145,155.
[5]刘昌明,刘小莽,郑红星,等.海河流域太阳辐射变化及其原因分析.地理学报. 2009,64(11):1283-1291.
[6]赵娜,王治国,张复明,等.海河流域太阳辐射计算模型评估及时空变异规律.气象与环境科学. 2017,40(3):53-58.
[7]陈震,王冠,王丹.唐山市太阳总辐射变化特征分析.现代农业科技. 2017,16:187-188.
[8]司福意.焦作市太阳辐射资源分析评估.气象与环境科学. 2013,36(2):87-91.
[9]程海军,刘军.黄冈市太阳能资源特征分析与评估.农技服务. 2017,34(6):9-11.
[10]唐晓萍,陈志军,何泽能. 1961—2010年重庆地区气温和总辐射变化分析.高原山地气象研究. 2013,33(3):43-47.
[11]陈飞霖,麦宗天,郑华珠.阳江市2016年辐射变化特征分析.南方农业. 2018,12(02):121-122.
[12]陈玲,罗鹍,袁志扬,等.东莞市辐射强度特征及影响因子.热带气象学报. 2014,30(3):585-593.
[13]汪凯,叶红,陈峰,等.中国东南部太阳辐射变化特征、影响因素及其对区域气候的影响.生态环境学报. 2010,19(5):1119-1124.
[14]胡森林,刘红年.合肥城市气溶胶浓度对太阳辐射的影响.中国环境科学学会学术年会论文集.厦门;中国环境科学学会,2017,1131-1136.