|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 基于多源数据的PM2.5浓度时空分布预测与制图显示文摘随着我国经济、工业化、城市化进程迅速发展,PM_(2.5)污染在中国已经成为一个极端的环境和社会问题,并引起广泛关注.采用新技术估算的地表PM_(2.5)质量浓度,收集并处理了遥感反演的气溶胶光学厚度(AOD),气象数据,其他地理数据和污染物排放数据,采用贝叶斯最大熵(BME)结合地理加权回归(GWR)来分析2015年冬季的PM_(2.5)暴露在我国东部大范围区域的时空变异特征.结果表明,BME模型的十折交叉验证结果的决定系数R^2为0.92,均方根误差(RMSE)为8.32μg·m^(-3),平均拟合误差(MPE)为-0.042μg·m^(-3),平均绝对拟合误差(MAE)为4.60μg·m^(-3),与地理加权回归模型的结果相比(R^2=0.71,RMSE=15.68μg·m^(-3),MPE=-0.095μg·m^(-3),MAE=11.14μg·m^(-3)),BME的预测结果有极大的提高.空间上,PM_(2.5)高浓度地区主要集中在华北、长江三角洲、四川盆地,低浓度地区主要集中在中国的最南部如珠江三角洲和云南的西南部;时间上,不同月份的研究区域PM_(2.5)空间分布所有差别,2015年的12月、2016年1月PM_(2.5)污染最为严重,2015年的11月,2016年的2月污染相对较低. | 肖璐 郎艺超 夏浪 楼昭涵 孙楠 黄李童 George Christakos | 2017 | 环境科学2017，38，12： | 10 |
| 2 | 基于SARIMA模型和普通Kriging法对杭州市主城区PM2.5短期预测和制图显示文摘基于SARIMA模型对杭州市主城区内的7个站点和周边3个站点的PM_(2.5)浓度进行4 h平均的短期预报,并利用普通Kriging法对杭州市主城区PM_(2.5)进行空间插值和制图.在建立SARIMA模型时,用批量自动化的方法,使用R语言编程对夏季和冬季各360期的数据进行SARIMA(p,d,q)×(P,D,Q)6模型的参数的确定和拟合,来预测下一期的值.在10个站点分别进行120期的预测,做出真实与预测的时间序列图,在精度分析中,夏季和冬季PM_(2.5)浓度总体的平均绝对误差(MAE)分别为8.4μg·m^(-3)和14.8μg·m^(-3).在Arc GIS中,对每期的数据使用普通Kriging法,用球面模型拟合半变异函数,决定各个站点的权重,来对杭州市区内未知空间样点进行插值,最后生成完整的杭州市主城区PM_(2.5)短期预测图.本研究创新性地将SARIMA模型广义化运用到小尺度时间序列中,预报效果较好,并且批量自动化预测和制图的方法,可为今后的预测制图产品化提供技术支持. | 郎艺超 肖璐 George Christakos | 2018 | 环境科学学报2018，38，1： | 7 |
| 3 | Spatiotemporal Mapping of Salt Marshes in the Intertidal Zone of China during 1985-2019显示文摘This study mapped the areal extent,identified the species composition,and analyzed the changes of salt marshes in the intertidal zone of China during the period 1985–2019.With the aid of the cloud platform of the Google Earth Engine,we selected Landsat 5/8 and Sentinel-2 images and used the support vector machine classification method to extract salt marsh information for the years of 1985,1990,1995,2000,2005,2010,2015,and 2019.Seven major species of salt marshes:Phragmites australis,Suaeda spp.,Spartina alterniflora,Scirpus mariqueter,Tamarix chinensis,Cyperus malaccensis,and Sesuvium portulacastrum were identified.Our results showed that salt marshes are mainly distributed in Liaoning,Shandong,Jiangsu,Shanghai,and Zhejiang,with varying patterns of shrinking,expansion,or wavering in different places.The distribution of salt marshes has declined considerably from 151,324 ha in 1985 to 115,397 ha in 2019,a drop of 23.7%.During the same period,the area of native species has dropped 95.4%from 77,741 ha to 3,563 ha for Suaeda spp.and 45.1%from 60,511 ha to 33,193 ha for P.australis;on the contrary,the area of exotic species,S.alterniflora,has exhibited a sharp rise from just 99 ha to 67,527 ha.For the past 35 years,the driving factors causing salt marsh changes are mainly land reclamation,variations in water and sand fluxes,and interspecific competition and succession of salt marsh vegetation.These results provide fundamental reference information and could form the scientific basis for formulating policies for the conservation and utilization of salt marsh resources in China. | Guangwei Chen Runjie Jin Zhanjiang Ye Qi Li Jiali Gu Min Luo Yongming Luo George Christakos James Morris Junyu He Dan Li Hengwei Wang Li Song Qiuxuan Wang Jiaping Wu | 2022 | Journal of Remote Sensing2022，，1： | 2 |
| 4 | Estimating spatial attribute means in a GIS environment显示文摘The estimation of geographical attributes is a crucial matter for many real-world problems,and the issue of accuracy stands out when the estimation is used for between-regions comparison.In this work,our concern is area attribute estimation in a GIS environment.We estimate the area attribute value with a mean Kriging technique,and the probability distribution of the estimate is derived.This is the best linear unbiased observed spatial population mean estimate and can be used in more relaxed situations than the block Kriging technique.Both theoretical analysis and empirical study show that the mean Kriging technique outperforms the ordinary Kriging,spatial random sampling,and simple random sampling techniques in estimating the observable spatial population mean across space. | CHRISTAKOS George | 2010 | Science China Earth Sciences2010，53，2： | 2 |
| 5 | Boundary condition sensi- tivity analysis of the stochastic flow equation显示文摘 | L Dean O Liver George Christakos | 1996 | Advances in Water Resources1996，，2： | 1 |
| 6 | Model-driven development of covariances for spatiotemporal environmental health assessment显示文摘 | Alexander Kolovos José Miguel Angulo Konstantinos Modis George Papantonopoulos Jin-Feng Wang George Christakos | 2013 | Environmental Monitoring and Assessment2013，，1： | 1 |
| 7 | Sampling and Kriging Spatial Means:Efficiency and Conditions显示文摘 | Wang Jin-Feng Li Lian-Fa George Christakos | 2009 | Sensors2009，9，： | 1 |
| 8 | Boundary condition sensitivity analysis of the stochastic flow equation显示文摘 | L Dean Oliver George Christakos | 1996 | Advances in Water Resources1996，，2： | 1 |
| 9 | Spatial estimation of antibiotic residues in surface soils in a typical intensive vegetable cultivation area in China显示文摘 | Xie YunFeng Li XueWen Wang JinFeng Christakos George Hu MaoGui An LiHong Li FaSheng | 2012 | Science of the Total Environment2012，430，： | 1 |
| 10 | A Bayesian/maximum-entropy view to the spatial estimation problem显示文摘 | George Christakos | 1990 | Mathematical Geology1990，，7： | 1 |
| 11 | Boundary condition sensitivity analysis of the stochastic flow equation显示文摘 | Dean L Oliver George Christakos | 1996 | Adavnce Water Resources1996，19，2： | 1 |
| 12 | A Bayesian/maximum-entropy view to the spatial estimation problem显示文摘 | George Christakos | 1990 | Mathematical Geology1990，，7： | 1 |
| 13 | Recursive parameter estimation with applications in earth sciences显示文摘 | George Christakos | 1985 | Journal of the International Association for Mathematical Geology1985，，5： | 1 |
| 14 | Spatial estimation of antibiotic residues in surface soils in a typical intensive vegetable cultivation area in China显示文摘 | Yun-feng Xie Xue-Wen Li Jin-Feng Wang George Christakos Mao-Gui Hu Li-Hong An Fa-Sheng Li | 2012 | Science of the Total Environment2012，，： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员