地球信息科学学报 ›› 2019, Vol. 21 ›› Issue (7): 1029-1039.doi: 10.12082/dqxxkx.2019.180544
武夕琳1,2(), 刘庆生1,*(
), 刘高焕1, 黄翀1, 李贺1
收稿日期:
2018-10-24
修回日期:
2019-03-24
出版日期:
2019-07-25
发布日期:
2019-07-25
作者简介:
作者简介:武夕琳(1996-),女,黑龙江哈尔滨人,硕士生,主要从事高温热浪遥感监测与风险评估研究。E-mail:
基金资助:
Xilin WU1,2(), Qingsheng LIU1,*(
), Gaohuan LIU1, Chong HUANG1, He LI1
Received:
2018-10-24
Revised:
2019-03-24
Online:
2019-07-25
Published:
2019-07-25
Contact:
Qingsheng LIU
Supported by:
摘要:
在全球气候变化大背景下,极端高温事件发生频率及强度明显增多。据相关气象数据统计,若任由灾害肆虐,越来越多的人将死于全球热效应、疟疾、登革热和其他热相关疾病。本文根据近年来国内外学者研究进展,梳理了高温热浪风险评估的基本步骤,讨论了高温热浪风险评估的风险性框架,提出未来可利用遥感技术构建高温热浪风险的空间评估体系,将孕灾环境的暴露度、危险性、系统脆弱性及适应性相结合,综合构建风险评估体系。针对评估因子的选择进行论述,探讨了图层叠置法、主观赋权法、客观赋权法及组合赋权法等多种确定各指标权重的方法,分析比较了不同方法的利弊,将H-AHP与图层叠置结合的方法与简单的加减、乘除法进行对比,论述其在综合评价模型构建中的优势,并针对高温热浪风险等级的划分方法进行了对比,论述了不同方法适用的不同情况及其优势,为未来建立合理高温热浪灾害风险评估体系提供了方法参考,为进一步了解高温热浪危害,建立高温热浪监测、评估、报告制度,进一步完善建立高温热浪灾害预警体系提供有利依据。
武夕琳, 刘庆生, 刘高焕, 黄翀, 李贺. 高温热浪风险评估研究综述[J]. 地球信息科学学报, 2019, 21(7): 1029-1039.DOI:10.12082/dqxxkx.2019.180544
Xilin WU, Qingsheng LIU, Gaohuan LIU, Chong HUANG, He LI. Risk Assessment of Heat Waves: A Review[J]. Journal of Geo-information Science, 2019, 21(7): 1029-1039.DOI:10.12082/dqxxkx.2019.180544
[1] | IPCC.Climate change 2014: Impacts, adaptation, and vulnerability. Working group II contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change[R]. Cambridge, UK and New York, USA: Cambridge University Press, 2014. |
[2] | 秦大河.气候变暖中国经济面临严峻挑战[R].中国气象报,2007-03-18. |
[ Qin D H. Climate warming China's economy faces severe challenges[R]. China Meteorological News, 2007-03-18. ] | |
[3] | 谭建国,陆晨,陈正洪.高温热浪与人体健康[M].北京:气象出版社, 2009. |
[ Tan J G, Lu C, Chen Z H.Heat waves and human health[M]. Beijing: Meteorological Publishing House, 2009. ] | |
[4] | 张书余,等.干旱气象学[M].北京:气象出版社,2008. |
[ Zhang S Y, et al.Drought meteorology[M]. Beijing: Meteorological Publishing House, 2008. ] | |
[5] | 谭建国,黄家鑫.热浪对人体健康的影响及其研究方法[J].气候与环境研究,2004,19(4):680-686. |
[ Tan J G, Huang J X.The effect of heat waves on human health and its research methods[J]. Climate and environmental research, 2004,19(4):680-686. ] | |
[6] | Russo S, Dosio A, Graversen R G, et al.Magnitude of extreme heat waves in present climate and their projection in a warming world[J]. Journal of Geophysical Research Atmospheres, 2014,19(22):12500-12512. |
[7] |
Zampieri M, Melania Michettiauthorcmcc I.Globai assessment of heat wave magnitudes from 1901 to 2010 and implications for the river discharge of the Alps[J]. Science of the Total Environment, 2016,571:1330-1339.
doi: 10.1016/j.scitotenv.2016.07.008 |
[8] |
Semenza J C, Rubin C H, Falter K H, et al.Heat-related deaths during the July 1995 heat wave in Chicago[J]. New England Journal of Medicine, 1996,335(2):84-90.
doi: 10.1056/NEJM199607113350203 |
[9] |
Dousset B, Gourmelon F.Satellite multi-sensor data analysis of urban surface temperatures and land cover[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2003,58(1-2):43-54.
doi: 10.1016/S0924-2716(03)00016-9 |
[10] |
A new heat sensitivity index for settlement areas[J]. Urban Climate, 2013,6:63-81.
doi: 10.1016/j.uclim.2013.09.003 |
[11] |
Inostroza L, Palme M, Barrera F D L. A heat vulnerability Index: Spatial patterns of exposure, sensitivity and adaptive capacity for Santiago de chile[J]. PLoS ONE, 2016,11(9):e0162464.
doi: 10.1371/journal.pone.0162464 |
[12] | 东南亚若推迟采取应对气候变化的行动,将自食恶果[J].国际融资,2009(6):67-67. |
[ If Southeast Asia delays taking action to address climate change, it will suffer from self-defense[J]. International financing, 2009(6):67-67. ] | |
[13] | Thirumalai K, Dinezio P N, Okumura Y, et al.Extreme temperatures in southeast asia caused by el niño and worsened by global warming[J]. Nature Communications, 2017,8:15531. |
[14] |
Guo Y, Punnasiri K,Tong S.Effects of temperature on mortality in Chiang Mai city, Thailand: A time series study[J]. Environmental Health, 2012,11(1):36.
doi: 10.1186/1476-069X-11-36 |
[15] | Guo Y, Gasparrini A, Armstrong B G, et al.Heat Wave and Mortality: A multicountry, multicommunity study[J]. Environmental Health Perspectives, 2017,125(8). |
[16] |
Cunrui H, Jian C, Dung P, et al.Mortality burden attributable to heatwaves in Thailand: A systematic assessment incorporating evidence-based lag structure[J]. Environment International, 2018,121(1):41-45.
doi: 10.1016/j.envint.2018.08.058 |
[17] | Dung P, Cordia C, Dang N T, et al.Spatial variation of heat-related morbidity: A hierarchical bayesian analysis in multiple districts of the Mekong Delta Region[J]. Science of the Total Environment, 2018(637-638):1559-1565. |
[18] | 胡峰,卢振礼. 1951-2000年山东省高温气象灾害的变化趋势和风险特征分析[J].中国农学通报,2010,26(19):354-358. |
[ Hu F, Lv Z L.Analysis on the change trend and risk characteristics of high temperature meteorological disasters in Shandong Province from 1951 to 2000[J]. Chinese Agricultural Science Bulletin, 2010,26(19):354-358. ] | |
[19] | 中国国家标准化管理委员会.中华人民共和国国家标准高温热浪等级[Z].2012-12-31. |
[ China National Standardization Administration Committee. National Standard High Temperature Heat Wave Rating of the People's Republic of China[Z].2012-12-31. ] | |
[20] | 张可慧,李正涛,刘剑锋,等.河北地区高温热浪时空特征及其对工业、交通的影响研究[J].地理与地理信息科学,2011,27(6):90-95. |
[ Zhang K H, Li Z T, Liu J F, et al.Temporal and spatial characteristics of high temperature heat waves in Hebei Province and their impacts on industry and transportation[J]. Geography and Geo-information Science, 2011,27(6):90-95. ] | |
[21] | 宋晨阳,王锋,张韧等.气候变化背景下我国城市高温热浪的风险分析与评估[J].灾害学,2016,31(1):201-206. |
[ Song C Y, Wang F, Zhang R, et al.Risk analysis and evaluation of high temperature heat waves in Chinese cities under the background of climate change[J]. Disaster science, 2016,31(1):201-206. ] | |
[22] | Heo S, Bell M L, Lee J T.Comparison of health risks by heat wave definition: Applicability of wet-bulb globe temperature for heat wave criteria[J]. Environmental Research, 2018,32(9):158-170. |
[23] |
Aubrecht C, Dzceylan, et al. Identification of heat risk patterns in the U.S. National Capital Region by integrating heat stress and related vulnerability[J]. Environment International, 2013,56:65-77.
doi: 10.1016/j.envint.2013.03.005 |
[24] | Amarillo, T X.What is the heat index?[DB/OL]. . |
[25] | 中国国家标准化管理委员会.中华人民共和国国家标准高温热浪等级[Z].2012-12-31. |
[ China National Standardization Administration Committee. National Standard High Temperature Heat Wave Rating of the People's Republic of China[Z].2012-12-31. ] | |
[26] |
Prudhomme C, Crooks S, Kay A L, et al.Climate change and river flooding: Part 1 classifying the sensitivity of British catchments[J]. Climatic Change, 2013,119(3):933-948.
doi: 10.1007/s10584-013-0748-x |
[27] | IPCC.Contribution of working groupⅡto the fourth assessment report of the Intergovernmental Panel on Climate Change[R]. Cambridge: Cambridge University Press. 2007. |
[28] | 吴绍洪,潘韬,贺山峰.气候变化风险研究的初步探讨[J].气候变化研究进展,2011,7(5):363-368. |
[ Wu S G, Pan T, He S F.Preliminary discussion on climate change risk research[J]. Progress in climate change research, 2011,7(5):363-368. ] | |
[29] |
李鹤,张平宇,程叶青.脆弱性的概念及其评价方法[J].地理科学进展,2008,27(2):18-25.
doi: 10.11820/dlkxjz.2008.02.003 |
[ Li H, Zhang P Y, Cheng Y Q.The concept of vulnerability and its evaluation method[J]. Progress in geography, 2008,27(2):18-25. ]
doi: 10.11820/dlkxjz.2008.02.003 |
|
[30] | 杨红龙,许吟隆,陶生才,等.髙温热浪脆弱性与适应性研究进展[J].科技导报,2010(19):98-102. |
[ Yang H L, Xu Y L,Tao C S, et al.Advances in research on vulnerability and adaptability of warm heat waves[J], Science and technology guide, 2010(19):98-102. ] | |
[31] | 张明顺,冯利利,黎学琴,等.欧盟城市适应气候变化的机遇和挑战[M].北京:中国环境出版社,2011,26-27. |
[ Zhang M S, Feng L L, Li X Q, et al.Opportunities and challenges for E U cities to adapt to climate change[M]. Beijing: China Environment Press, 2011,26-27. ] | |
[32] |
Aubrecht C, Özceylan D.Identification of heat risk patterns in the US National Capital Region by integrating heat stress and related vulnerability[J]. Environment International, 2013,56:65-77.
doi: 10.1016/j.envint.2013.03.005 |
[33] | Adger N Brooks N, Bentham G, et al. New indicators of vulnerability and adaptive capacity[R]. Tyndall Centre for Climate Change Research, 2004. |
[34] | IPPC,Climate change 2007: Impacts' adaptation and valnerablility, contribution of working Group II to the fourth assessment report of the intergovernmental panel on Climate Change[C]. Cambridge, UK and New York, USA: Cambridge University Press, 2007: 869-883. |
[35] | Swart R J, Fons W, Geertsema, et al. Urban vulner ability Indicators: A joint report of ETC-CCA and ETC-SIA[J]. ETC-CCA and ETC-SIA Technical Report, 2012:29-33. |
[36] |
Wolf T, Mc Gregor G.The development of a heat wave vulnerability index for London, United Kingdom[J]. Weather and Climate Extremes, 2013,1:59-68.
doi: 10.1016/j.wace.2013.07.004 |
[37] |
Zhu Q, Liu T, Lin H, et al.The spatial distribution of health vulnerability to heat waves in Guangdong Province, China[J]. Global Health Action, 2014,7(1):25051.
doi: 10.3402/gha.v7.25051 |
[38] |
El-Zein A,Tonmoy F N.Assessment of vulnerability to climate change using a multi-criteria outranking approach with application to heat stress in Sydney[J]. Ecological Indicators, 2015,48:207-217.
doi: 10.1016/j.ecolind.2014.08.012 |
[39] | Solomon S, Qin D,Manning M, et al.Climate change 2007: The physical science basis[M]//Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge. New York: Cambridge University Press, 2007:996. |
[40] |
Reid C E, O’Neill M S, Gronlund C J, et al. Mapping community determinants of heat vulnerability[J]. Environmental Health Perspectives, 2009,117(11):1730-1736.
doi: 10.1289/ehp.0900683 |
[41] |
Maier G, Grundstein A, Jang W, et al.Assessing the performance of a vulnerability index during oppressive heat across Georgia, United States[J]. Weather, Climate, and Society, 2014,6(2):253-263.
doi: 10.1175/WCAS-D-13-00037.1 |
[42] | 郑山,王敏珍,尚可政,等.高温热浪对北京3所医院循环系统疾病日急诊人数影响的病例-交叉研究[J].卫生研究,2016,45(2):246-251. |
[ Zheng S, Wang M Z, Shang K Z, et al.Case-crossover study of the effects of high temperature heat waves on the number of emergency patients in circulatory diseases in 3 hospitals in Beijing[J]. Health research, 2016,45(2):246-251. ] | |
[43] |
谢盼,王仰麟,彭建,等.基于居民健康的城市高温热浪灾害脆弱性评价:研究进展与框架[J].地理科学进展,2015,34(2):165-174.
doi: 10.11820/dlkxjz.2015.02.005 |
[ Xie P, Wang Y L, Peng J, et al.Vulnerability assessment of urban high temperature heat wave disaster based on residents' health: Research progress and framework[J]. Progress in Geography, 2015,34(2):165-174. ]
doi: 10.11820/dlkxjz.2015.02.005 |
|
[44] | 郑雪梅,王怡,吴小影,等.近20年福建省沿海与内陆城市高温热浪脆弱性比较[J].地理科学进展,2016,35(10):1197-1205. |
[ Zheng X M, Wang Y, Wu X Y, et al.Comparison of vulnerability of high temperature heat waves in coastal and inland cities of Fujian Province in recent 20 years[J]. Progress in Geography, 2016,35(10):1197-1205. ] | |
[45] | Shevky E, Bell W.Social area analysis[M]. Standford, CA: Standford University Press, 1955:28-53. |
[46] | 雷定安,金平.论人口的聚集效应[J].西北人口,2003,24(4):10-12. |
[ Lei D A, Jin P.On the aggregation effect of population[J]. Northwest Population, 2003,24(4):10-12. ] | |
[47] | 李静,罗灵军,钱文进,等.基于GIS的重庆市人口空间分布研究[J].地理空间信息,2013,11(2):42-46. |
[ Li J, Luo L J, Qian W J, et al.Research on spatial distribution of population in Chongqing based on GIS[J]. Geospatial Information, 2013,11(2):42-46. ] | |
[48] | 李青阳. 陕西省人口空间结构与人口集聚格局分析[D].西安:西北大学, 2009. |
[ Li Q Y.Analysis of population spatial structure and population agglomeration pattern in Shaanxi Province [D]. Xi'an:Northwest University, 2009. ] | |
[49] |
韩秀珍,李三妹,窦芳丽.气象卫星遥感地表温度推算近地表气温方法研究[J].气象学报,2012,70(5): 1107-1118.
doi: 10.11676/qxxb2012.093 |
[ Han X Z, Li S M, Dou F L.Study on method of calculating near-surface air temperature by meteorological satellite remote sensing surface temperature[J]. Journal of Meteorology, 2012,70(5):1107-1118. ]
doi: 10.11676/qxxb2012.093 |
|
[50] | 刘勇洪,权维俊.北京城市高温遥感指标初探与时空格局分析[J].气候与环境研究,2014,19(3):332-342. |
[ Liu H Y, Quan W J.Preliminary study on high temperature remote sensing index and analysis of spatiotemporal pattern in Beijing[J]. Climate and environmental research, 2014,19(3):332-342. ] | |
[51] |
Dash P.Land surface temperature and emissivity estimation from passive sensor data: Theory and practicecurrent trends[J]. International Journal of Remote Sensing, 2002,23(13):2563-2594.
doi: 10.1080/01431160110115041 |
[52] | 周洋,祝善友,华俊玮,等.南京市高温热浪时空分布研究[J].地球信息科学学报,2018,20(11):1613-1621. |
[ Zhou Y,Zhu S Y, Hua J W, et al.Spatio-temporal distribution of high temperature heat wave in Nanjing[J]. Journal of Geo-information Science, 2018,20(11):1613-1621. | |
[53] | 季崇萍,刘伟东,轩春怡.北京城市化进程对城市热岛的影响研究[J].地球物理学报,2006,49(1):69-77. |
[ Ji C P, Liu W D, Xuan C Y.Study on the influence of Beijing urbanization process on urban heat island[J]. Chinese Journal of Geophysics, 2006,49(1):69-77. ] | |
[54] | 刘鹏,钱永甫,严蜜.东亚下垫面热力异常与南海夏季风爆发早晚和强弱的关系[J].热带气象学报,2011,27(2):209-218. |
[ Liu P, Qian Y P, Yan M.The relationship between the thermal abnormality of the underlying surface of east Asia and the late and late eruption of the South China Sea summer monsoon[J]. Journal of Tropical Meteorology, 2011,27(2):209-218. ] | |
[55] | 帅晨,沙晋明,林金煌,等.不同下垫面遥感指数与地温关系的空间差异性研究[J].地球信息科学学报,2018,20(11):1657-1666. |
[ Shuai C, Sha J M, Lin J H, et al.Spatial difference of the relationship between remote sensing index and land surface temperature under different underlying surfaces[J]. Journal of Geo-information Science, 2018,20(11):1657-1666. ] | |
[56] | 栾庆祖,叶彩华,刘勇洪,等.城市绿地对周边热环境影响遥感研究——以北京为例[J].生态环境学报,2015,23(2):252-261. |
[ Luan Q Z, Ye C H, Liu Y H, et al.Remote sensing study on the impact of urban green space on the surrounding thermal environment-taking Beijing as an example[J]. Journal of Eco-Environment, 2015,23(2):252-261. ] | |
[57] | 买买提江∙买提尼亚孜,阿里木江∙卡斯木.干旱区典型城市下垫面特征及其与地表热环境的关系研究[J].生态环境学报,2015,24(11):1865-1871. |
[ Mai M T J, A L M J.Characteristics of underlying surface of typical cities in arid areas and their relationship with surface thermal environment[J]. Journal of Eco-environment, 2015,24(11):1865-1871. ] | |
[58] | 徐永明,刘勇洪.基于TM 影像的北京市热环境及其与不透水面的关系研究[J].生态环境学报,2013,22(4):639-643. |
[ Xu Y M, Liu Y H.Study on thermal environment of Beijing based on TM image and its relationship with impervious surface[J]. Journal of Eco-environment, 2013,22(4):639-643. ] | |
[59] | 张雷,涂慰云,孙蔡亮,等.基于GIS图层叠置法的莆田市雷灾脆弱性研究[J].海峡科学,2017(12):84-86,97. |
[ Zhang L, Tu W Y, Sun C L, et al.Vulnerability of mine disaster in Putian City based on GIS map stacking method[J]. Strait Science, 2017(12):84-86,97. ] | |
[60] |
Aubrecht C, zceylan, Dilek. Identification of heat risk patterns in the U.S. National Capital Region by integrating heat stress and related vulnerability[J]. Environment International, 2013,56:65-77.
doi: 10.1016/j.envint.2013.03.005 |
[61] | 奥布力·塔力普,马海霞,赛福丁·哈迪尔.基于层次分析法的巴基斯坦国家风险演变研究[J/OL].中国经贸导刊(理论版),2018(26):25-28[2018-10-09]. , 56:65-77. |
[ O'Brien Talip, Ma H X, Saifuddin Hadir. Research on the Evolution of Pakistan's National Risk Based on Analytic Hierarchy Process [J/OL].China Economic and Trade Guide (Theoretical Edition), 2018(26):25-28[2018-10-09]. ,56:65-77. ] | |
[62] | Prasad G L, Yoenbae K.An analysis on barriers to renewable energy development in the context of Nepal using AHP[J]. Renewable Energy, 2018:S0960148118306414. |
[63] |
Johnson D P, Stanforth A, Lulla V, et al.Developing an applied extreme heat vulnerability index utilizing socioeconomic and environmental data[J]. Applied Geography, 2012,35(1):23-31.
doi: 10.1016/j.apgeog.2012.04.006 |
[64] | 朱斌. 基于偏好关系决策方法及应用研究[D].南京:东南大学,2014. |
[ Zhu B.Decision-making method based on preference relationship and its application[D]. Nanjing: Southeast University, 2014. ] | |
[65] |
El-Zein A, Tonmoy F N.Assessment of vulnerability to climate change using a multi-criteria outranking approach with application to heat stress in Sydney[J]. Ecological Indicators, 2015,48:207-217.
doi: 10.1016/j.ecolind.2014.08.012 |
[66] |
Frazier T G, Thompson C M, Dezzani R J.A framework for the development of the SERV model: A Spatially Explicit Resilience-Vulnerability Model[J]. Applied Geography, 2014,51:158-172.
doi: 10.1016/j.apgeog.2014.04.004 |
[67] |
Gary J, Dakota C, et al.Urban heat wave hazard and risk assessment[J]. Results in Physics, 2017,7:4294-4295.
doi: 10.1016/j.rinp.2017.10.056 |
[68] | 何苗,徐永明,等.基于遥感的北京城市高温热浪风险评估[J].生态环境学报,2017,26(4):635-642. |
[ He M, Xu Y M, et al.Assessing heat wave risk in Beijing by remote sensing[J]. Ecology and Environmental Sciences, 2017,26(4):635-642. ] |
[1] | 李云帆, 李彩霞, 贾翔, 吴晶, 张晓丽, 梅晓丽, 朱若柠, 王冬. 乌梁素海流域生态脆弱性时空变化及其成因分析[J]. 地球信息科学学报, 2023, 25(10): 2039-2054. |
[2] | 任国平, 刘黎明, 李洪庆, 季翔, 尹罡. 基于改进熵权DEA-TOPSIS模型的乡村国土综合整治格局优化[J]. 地球信息科学学报, 2022, 24(2): 280-298. |
[3] | 张泽, 胡宝清, 丘海红, 邓雁菲. 桂西南喀斯特-北部湾海岸带生态环境脆弱性时空分异与驱动机制研究[J]. 地球信息科学学报, 2021, 23(3): 456-466. |
[4] | 毕佳, 王贤敏, 胡跃译, 罗孟涵, 张俊华, 胡凤昌, 丁子洋. 一种基于改进SEIR模型的突发公共卫生事件风险动态评估与预测方法——以欧洲十国COVID-19为例[J]. 地球信息科学学报, 2021, 23(2): 259-273. |
[5] | 裴韬, 王席, 宋辞, 刘亚溪, 黄强, 舒华, 陈晓, 郭思慧, 周成虎. COVID-19疫情时空分析与建模研究进展[J]. 地球信息科学学报, 2021, 23(2): 188-210. |
[6] | 李照, 高惠瑛, 代晓奕, 孙海. 一种耦合LSTM算法和云模型的疫情传播风险预测模型[J]. 地球信息科学学报, 2021, 23(11): 1924-1925. |
[7] | 朱净萱, 戴强, 蔡俊逸, 朱少楠, 张书亮. 基于多智能体的城市洪涝灾害动态脆弱性计算模型构建[J]. 地球信息科学学报, 2021, 23(10): 1787-1797. |
[8] | 徐新良, 李嘉豪, 申志成, 王世宽. “一带一路”沿线国家农田生态系统脆弱性及其对气候变化的响应[J]. 地球信息科学学报, 2020, 22(4): 877-886. |
[9] | 魏璐瑶, 陆玉麒. 江苏省县域乡村集聚与脆弱性评价[J]. 地球信息科学学报, 2020, 22(2): 218-230. |
[10] | 邹雨轩, 吴志峰, 曹峥. 耦合土地利用回归与人口加权模型的PM2.5暴露风险评估[J]. 地球信息科学学报, 2019, 21(7): 1018-1028. |
[11] | 王钰, 胡宝清. 西江流域生态脆弱性时空分异及其驱动机制研究[J]. 地球信息科学学报, 2018, 20(7): 947-956. |
[12] | 张英慧, 高星, 王伟, 查欣洁. 中国省域煤矿事故时空分异特征及影响因素研究[J]. 地球信息科学学报, 2018, 20(3): 311-320. |
[13] | 金星星, 祁新华, 陆玉麒, 叶士琳, 王毅. 福建省高温热浪风险评估与空间分异研究[J]. 地球信息科学学报, 2018, 20(12): 1820-1829. |
[14] | 隋琦, 王瑛, 李婷, 刘庆爱, 俞海洋. 多源信息结合的雪灾交通风险评估研究[J]. 地球信息科学学报, 2018, 20(11): 1571-1578. |
[15] | 周洋, 祝善友, 华俊玮, 刘祎, 向嘉敏, 丁文. 南京市高温热浪时空分布研究[J]. 地球信息科学学报, 2018, 20(11): 1613-1621. |
|