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1.
以长三角为研究区域,从数据采样密度、实测数据和空间分布等方面探讨空间插值方法插补气溶胶光学厚度(AOD)的适用性。研究结果表明,随着采样密度降低,AOD空间插值结果与原始影像的拟合优度R2呈幂函数递增,拐点在5%附近,自然邻域插值法表现最好;插值后卫星AOD有效数据天数比例提高到约70%,相关系数R>0.8,年均值由0.48升高到0.66,从西北往东南逐渐减低。标准差由0.27升高到0.38,从北往南逐渐降低;有效数据天数比例随降水量由南到北递减呈现相反递增趋势,水面和山地有效数据天数比例低。数据采样密度为5%时,插值结果与原始影像的空间自相关、标准差和均值的相关系数分别为0.74、0.73和0.69。  相似文献   

2.
选用2001年1月-2015年12月MODIS数据,运用线性趋势等方法研究华东地区气溶胶光学厚度(AOD)的变化特征及影响因素。结果表明,2001-2015年华东地区AOD平均值变化范围在0.4~0.7之间,且呈现递减趋势。山东省西部、安徽省北部及江苏省AOD相对较高;福建省、浙江省南部及江西省南部地区AOD较低。华东地区气溶胶最低值出现在12月,最高值出现在6月;虽然冬季AOD变化趋势增长较高,但最高值仍出现在夏季。AOD主要受地形、NDVI、风速及人类活动等因素的影响,地形、NDVI、风速均与AOD呈负相关。  相似文献   

3.
利用MODIS 3 km AOD原始数据,借助ENVI、Arc GIS等软件对桂林市AOD进行提取和插值,模拟该市AOD的空间分布特征,综合分析区域地形、NDVI与AOD分布的相关关系。结果表明:桂林市AOD空间分布受到地形的影响,AOD高值区出现在近乎封闭的桂林中部盆地和其他区域的谷地,地势高的区域AOD值较低;利用NCEP分析资料的风场数据,对比春节期间桂林市的AOD相对高值中心的变化,得出气溶胶的迁移和扩散方向与风向一致,静风时AOD相对高值中心更容易集中在中部盆地的城区。  相似文献   

4.
以江苏省2010—2019年具有代表性的经济发展和环境质量的相关数据为依据,采用熵值法、空间插值法和耦合协调度评价模型等方法对经济与环境协调发展的时空格局进行探索。结果表明:2010—2019年江苏省经济水平几乎实现了翻倍增长,经济水平“南高北低”的空间格局稳固;2010—2019年江苏省环境水平以较高的速度增长,其增长速度高于经济水平,呈现中间区域(盐城、镇江、泰州、扬州和淮安)较高,北部和南部区域较低的空间格局;全省经济与环境的协调度指数总体呈现波动上升趋势,经济发展与环境效应协调度逐渐由失调转变为协调,并呈现出中部区域>南部区域>北部区域的整体趋势。  相似文献   

5.
基于环境一号卫星的气溶胶光学厚度反演技术研究   总被引:1,自引:0,他引:1  
基于环境一号卫星(HJ-1)遥感观测数据,采用改进的暗目标算法和深蓝算法分别对暗像元、亮像元地表的气溶胶光学厚度(AOD)进行反演,并将其结果与MOD04产品对比。结果表明:二者反演的AOD空间变化特征较一致,相关系数达0.874,HJ-1星反演结果有更高的空间分辨率。当AOD值0.2时,HJ-1星反演结果可靠性较低;当AOD值在0.2~0.8之间时,HJ-1星CCD相机反演气溶胶的结果与MOD04产品最相近,二者相对误差10%;当AOD值在0.8~1.5之间时,HJ-1星反演结果相对MOD04产品显著偏高;当AOD值1.5时,HJ-1星反演结果相对MOD04产品偏低。  相似文献   

6.
根据阳澄湖2000—2019年的水质监测数据,分析了总磷、总氮对水质的影响,以及水质富营养状况的年际变化趋势。结果显示,与2000年相比,阳澄湖水质明显好转,主要超Ⅲ类指标总磷、总氮浓度总体呈波动下降趋势,但近几年水质稳定在Ⅳ类,改善不明显; 2011年以来,总氮月度变化特征呈明显波浪型周期变化,阳澄西湖水质较差,东湖较好;从2015年起,各湖区总磷浓度均有不同程度上升,各湖区总氮波动趋势减弱;阳澄湖总体处于轻度富营养状态,各湖区在2006—2012年富营养指数呈明显下降趋势,2014年以后西湖富营养指数呈明显下降趋势,中湖和东湖富营养指数变化趋势较为一致,总体呈波动趋势。  相似文献   

7.
天水市紫外吸收性气溶胶时空动态的遥感监测   总被引:1,自引:0,他引:1  
采用OMI传感器的气溶胶产品,分析了2006—2015年中国西部城市天水市对流层紫外吸收性气溶胶的时空分布特征。结果表明:空间上,十年间天水市的吸收性气溶胶表现出从中部向周围依次减弱的南北向带状分布规律;季节变化呈现出秋冬季高于春夏季的规律;时间上,吸收性气溶胶指数(AI)从2006年的0.075增至2015年的0.506,年均值为0.28,年均增长率为57.5%;十年间出现2次阶段性增长和2次阶段性减小;AI年际变化与天水市地方总产值相关性为0.902,第一产业对其影响最大,第三产业影响最小。  相似文献   

8.
以2017—2018年安徽省133个空气质量监测站(国控点66个,省控点67个)228万条PM2.5质量浓度数据为基础,基于空间自相关和地统计方法对该区PM2.5浓度的时空分异特征进行分析。结果显示:安徽省年平均PM2.5质量浓度为49.63 μg/m3,88%的监测站点PM2.5质量浓度超过国家环境空气质量标准二级限值;PM2.5浓度呈现明显的冬季高、夏季低、春秋季适中的特征,日变化曲线呈双峰结构,峰值在09:00和22:00前后,低值在16:00—17:00;全省PM2.5浓度全局Moran指数为0.673 6,月度指数为0.389 6~0.745 6,均表现为空间聚集性,且冬季PM2.5浓度的空间聚集性更强;局部空间自相关指数表明全省PM2.5浓度呈西北高-高集聚、东南低-低集聚的特点,低值集聚区稳定在黄山市及其周边;全省PM2.5浓度总体表现为由北向南递减的趋势,但受局部地形的影响,PM2.5浓度在西部大别山和皖南山区出现明显的下降趋势。研究结果综合了国控点和省控点监测数据,更加详细地表征区域PM2.5浓度的时空分异特征,为该区实施有效的环境污染防控提供重要参考。  相似文献   

9.
利用Spearman秩相关系数法、污染日历图、浓度分析法和CMAQ预测模型研究了达州市城区2015—2019年空气质量状况。结果表明:2015—2019年,达州市城区O_3浓度变化趋势为显著上升(P0.05),季度变化明显,8月易发生因O_3超标导致的轻度污染状况;CO年均值变化趋势为显著降低(P0.05);NO_2年均值呈上升趋势,但尚未达到显著水平(P0.05);SO_2、PM_(10)和PM_(2.5)年均值呈下降趋势,但变化趋势不明显(P0.05)。2019年,1月和12月污染最重,PM_(2.5)超标是主因,PM_(10)和PM_(2.5)年均值达标形势严峻,全年一半以上天数的PM_(2.5)浓度超过年均值二级标准限值,PM_(10)也近半;NO_2年均值达标形势严峻,全年212 d超过年均值二级标准限值。CMAQ模型对不同污染指标的预测准确率不同,预测PM_(2.5)浓度、首要污染物和空气质量等级时的准确率不及人工预测,预测AQI时的准确率高于人工预测,更多污染指标的预测比较还有待进一步研究。  相似文献   

10.
为评价常州市国家大气自动监测站(国控站)细颗粒物(PM_(2.5))监测的代表范围,通过1 km×1 km的多角度大气校正算法(MAIAC)的气溶胶光学厚度(AOD)等相关数据,采用随机森林方法进行PM_(2.5)估算反演,考虑变异函数和最优分割模型等统计学模型,开展国控站PM_(2.5)监测代表范围的评价。结果表明:(1)估算反演的PM_(2.5)浓度空间分布显示,常州市区东部区域浓度相对较高,西南部区域浓度相对较低;(2)变异函数分析中,PM_(2.5)浓度在5 km范围内具有相对显著的空间相关性,但超过5 km范围后空间自相关性不显著,差异性增大到最大;(3)最优分割法分析中,常州市各个国控站PM_(2.5)监测均存在各自的代表范围,2019年的代表范围为3~5 km,其中“经开区”站点范围最大(5 km),“市监测站”和“武进监测站”站点范围最小(均为3 km),且逐年分析显示,各个站点PM_(2.5)监测的代表范围呈上升趋势。  相似文献   

11.
Atmospheric aerosols are an important contributing factor to turbidity in urban areas besides having impact on health. Aerosol characteristics show a high degree of variability in space and time as anthropogenic share of total aerosol loading is quite substantial and is essential to monitor the aerosol features over long time scales. In the present study extensive observations of columnar aerosol optical depth (AOD), total columnar ozone (TCO) and precipitable water content (PWC) have been carried over a tropical urban city of Hyderabad, India. Significant variations of AOD have been observed during course of the day with low values of AOD during morning and evening hours and high values during afternoon hours. Spectral variation of AOD exhibits high AOD at smaller wavelengths and vice versa except a slight enhancement in AOD at 500 nm. Anomalies in AOD, particulate matter and black carbon concentrations have been observed during May, 2003. Back trajectory analysis of air mass during these episodes suggested variation in air mass trajectories. Analysis of the results suggests that air trajectories from land region north of study area cause high loading of atmospheric aerosols. The results are discussed in the paper.  相似文献   

12.
利用全自动太阳辐射计,对深圳世界大运会主场馆附近大气特性开展了连续观测(2011-08-11-2011-09-03)。获得了大运会期间(12 d)和大运会后(11 d),气溶胶光学厚度(AOD)等参数的变化情况,并对气溶胶光学和微物理特性进行了分析。结果表明,大运会期间440 nm处的AOD平均值为0.273,大运会之后的AOD平均值为0.983,大运会期间较大运会之后AOD平均值有显著降低。粒子谱分布等气溶胶微物理特性参数的分析还表明, AOD降低主要是由于细粒子含量的减少,说明环境控制措施对于空气质量产生了较好的改进效果。  相似文献   

13.
Atmospheric surface aerosol radiative forcing (SARF) ΔF, forcing efficiency ΔFe and fractional forcing efficiency ΔFFe evaluated from cloud-screened narrowband spectral and thermal-offset-corrected radiometric observations during the Asia dust outbreak episodes in Gwangju, Republic of Korea are reported in this study. Columnar aerosol optical properties (aerosol optical depth (AOD), τ , Angstrom exponent α, mass concentration of fine and coarse mode particles) were also reported for the station between January 2000 and May 2001 consisting of 211cloud-free days. Results indicate that majority of the AOD were within the range 0.25–0.45 while some high aerosol events in which AODs ≥ 0.6 were observed during the severe dust episodes. For example, AOD increases from annual average value of 0.34 ± 0.13 at 501 nm to values >0.60 during the major dust events of March 27–30 and April 7–9, 2000, respectively. The α 501–870 nm which is often used as a qualitative indicator of aerosol particle size had values ranging from 0.01 to 1.77. The diurnal forcing efficiency ΔDFe at Gwangju was estimated to be −81.10 ± 5.14 W m −2/τ 501 nm and −47.09 ± 2.20 W m −2/τ 501 nm for the total solar broadband and visible band pass, respectively while the fractional diurnal forcing efficiency ΔFDFe were −15.8 ± 0.64%/τ 501 nm and −22.87 ± 1.13%/τ 501 nm for the same band passes. Analyses of the 5-day air-mass back trajectories were further developed for Gwangju in order to classify the air-mass and types of aerosol reaching the site during the Asia dust episodes.  相似文献   

14.
The radiative properties of atmospheric aerosols are determined by their masses, chemical characteristics, and optical properties, such as aerosol optical depth (AOD), Åstrom;ngström parameter (α) and single scattering albedo (SSA). In particular, the aerosol optical properties determine the surface temperature perturbation that may give some information in understanding regional atmospheric radiative forcing. To understand the radiative forcing and regional source of an aerosol, the present study focused on the analysis of the aerosol optical properties based on two different observations in the spring season, during the special Asian dust storm period. The Korean Global Atmosphere Watch Observatory (KGAWO), at Anmyeon Island, and the ACE-Asia super-site, at Gosan, Jeju Island, have measured radiations and aerosols since 2000. The sites are located in the mid-west and south of the Korean peninsula, which are strongly affected by the Asian dust coming from China every spring. The aerosol optical properties, measured by ground-based sun and sky radiometers, over both sites were analyzed to gain an understanding of the radiation and climate properties.The probability distributions of the aerosol optical depths were rather narrow, with a modal value of approximately 0.38 at both sites during 2001 and 2002. The Ångström parameter frequency distributions showed two peaks at Anmyeon GAW, but only one peak at the Jeju ACE-Asia super site. One peak, around 0.63, characterizes the situation of a day having Asian dust, the second peak, around 1.13, corresponded to the relatively dust-free cases. The correlation between the aerosol optical depth and the Ångström exponents resulted in a wide range of the Ångström parameter, α, over a wide range of optical depths at Anmyeon, whereas a narrow range of α, with moderate to low values for the AOD at Jeju. Under dust free conditions the single scattering albedo (SSA) decreased with wavelength, while in the presence of Asian dust,the SSA either stayed neutral, or increased slightly with wavelength at Anmyeon, and showed higher value than Jeju. The change in the surface temperature was highly correlated with increases in the aerosol optical depth at Anmyeon to a greater extent than at Jeju.  相似文献   

15.
Satellite-retrieved data on aerosol optical depth (AOD) and Ångström exponent (AE) using a moderate resolution imaging spectrometer (MODIS) were used to analyze large-scale distributions of atmospheric aerosols in East Asia. AOD was relatively high in March (0.44?±?0.25) and low in September (0.24?±?0.21) in the East Asian region in 2009. Sandstorms originating from the deserts and dry areas in northern China and Mongolia were transported on a massive scale during the springtime, thus contributing to the high AOD in East Asia. However, whereas PM10 with diameters ≤10 μm was the highest in February at Anmyon, Cheongwon, and Ulleung, located leeward about halfway through the Korean Peninsula, AOD rose to its highest in May. The growth of hygroscopic aerosols attendant on increases in relative humidity prior to the Asian monsoon season contributed to a high AOD level in May. AE typically appears at high levels (1.30?±?0.37) in August due to anthropogenic aerosols originating from the industrial areas in eastern China, while AOD stays low in summer due to the removal process caused by rainfall. The linear correlation coefficients of the MODIS AOD and ground-based mass concentrations of PM10 at Anmyon, Cheongwon, and Ulleung were measured at 0.4~0.6. Four cases (6 days) of mineral dustfall from sandstorms and six cases (12 days) of anthropogenically polluted particles were observed in the central area of the Korean Peninsula in 2009. PM10 mass concentrations increased at both Anmyon and Cheongwon in the cases of mineral dustfall and anthropogenically polluted particles. Cases of dustfall from sandstorms and anthropogenic polluted particles, with increasing PM10 mass concentrations, showed higher AOD values in the Yellow Sea region.  相似文献   

16.
生态环境状况评价是资源合理利用、制定社会经济发展规划及生态环境保护对策的重要依据。现以河南省行政区为研究区域,基于遥感影像、水资源及环境统计数据,采用生态环境状况指数(EI)和空间格局分析方法,综合对比分析河南省2014—2018年生态环境状况时空变化及其冷热点空间分布。研究结果表明:(1)2014—2018年河南省EI值变化范围为60.6~63.5,生态环境状况整体呈现稳中趋好态势,除开封市和济源市外,16个省辖市的EI值均有所增加,位于西部山区丘陵地带的三门峡、洛阳和平顶山市EI值增加明显。(2)2014—2018年河南省生态环境的G*i指数的高值区域位于西部地区的三门峡市和洛阳市,且5年内没有发生变化,较为稳定。G*i指数的高、低值区域与EI值的高值和低值区表现出较高的一致性。  相似文献   

17.
This study explored the use of satellite data to monitor carbon monoxide (CO) and particulate matter (PM) in Northern Thailand during the dry season when forest fires are known to be an important cause of air pollution. Satellite data, including Measurement of Pollution in the Troposphere (MOPITT) CO, Moderate Resolution Imaging Spectroradiometer aerosol optical depth (MODIS AOD), and MODIS fire hotspots, were analyzed with air pollution data measured at nine automatic air quality monitoring stations in the study area for February–April months of 2008–2010. The correlation analysis showed that daily CO and PM with size below 10 μm (PM10) were associated with the forest fire hotspot counts, especially in the rural areas with the maximum correlation coefficient (R) of 0.59 for CO and 0.65 for PM10. The correlations between MODIS AOD and PM10, between MOPITT CO and CO, and between MODIS AOD and MOPITT CO were also analyzed, confirming the association between these variables. Two forest fire episodes were selected, and the dispersion of pollution plumes was studied using the MOPITT CO total column and MODIS AOD data, together with the surface wind vectors. The results showed consistency between the plume dispersion, locations of dense hotspots, ground monitoring data, and prevalent winds. The satellite data were shown to be useful in monitoring the regional transport of forest fire plumes.  相似文献   

18.
通过对2011年常州地区各类植物VOC排放因子,以及各类植被分布面积等数据统计分析,采用BEIS模型为参考的估算方法,建立起常州地区植被VOC的排放清单。结果表明,植被所排放VOC的变化规律既与植物本身有关又与气温和太阳辐射有关,区域内年植被VOC的总排放量为1.13×104 t。  相似文献   

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