期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
Spatial Distribution of CO2 Concentration over South America during ENSO Episodes by Using GOSAT Data
1
作者 Zhongyi Sun Xiufeng Wang +2 位作者 hiroshi tani Guosheng Zhong Shuai Yin 《American Journal of Climate Change》 2016年第1期77-87,共11页
Carbon dioxide (CO<sub>2</sub>) is one of the most important greenhouse gases;its concentration and distribution have important implications on climate change. The El Ni?o Southern Oscillation (ENSO) is th... Carbon dioxide (CO<sub>2</sub>) is one of the most important greenhouse gases;its concentration and distribution have important implications on climate change. The El Ni?o Southern Oscillation (ENSO) is the Earth’s strongest climate fluctuation on inter-annual time scales and has global impacts. However, to date, there is no research on how ENSO affects the spatial distribution of CO<sub>2</sub> concentration. In this study, we used spatial CO<sub>2</sub> data from the ENVIronmentSATellite (ENVISAT) and the Greenhouse Gases Observing Satellite (GOSAT), the long duration monthly mean atmospheric CO<sub>2</sub> from Mauna Loa Observatory, Multivariate ENSO Index (MEI) from Earth System Research Laboratory to analyze the way that ENSO affects spatial distribution of CO<sub>2</sub> concentration in South America, which is affected by ENSO seriously. Our research revealed that monthly CO<sub>2</sub> growth rate has a moderate, positive correlation relationship with MEI. We used geostatistics to predict and simulate the spatial distribution of CO<sub>2</sub> and found that in south of 12°S, CO<sub>2</sub> concentration of ENSO warm episode is lower than the one of ENSO cold and neutral episodes. ENSO impacts CO<sub>2</sub> spatial distribution mainly in November, December, January and February;moderate-high concentration zone of ENSO warm episode more concentrates in the northern part of South America. 展开更多
关键词 CO2 Growth Rate ENSO GOSAT TANSO South America Spatial Distribution of CO2
下载PDF
基于DPSIR的吉林省白山市生态安全评价 被引量:80
2
作者 张继权 伊坤朋 +3 位作者 hiroshi tani 王秀峰 佟志军 刘兴朋 《应用生态学报》 CAS CSCD 北大核心 2011年第1期189-195,共7页
通过对白山市的生态安全现状和问题进行分析,探究其生态环境改变的主要驱动力因子和胁迫因子;基于DPSIR模型提出了白山市生态安全综合评价指标体系,并进一步构建了适于山地地区的生态安全评价模型;利用1989年、1999年和2006年的3期TM遥... 通过对白山市的生态安全现状和问题进行分析,探究其生态环境改变的主要驱动力因子和胁迫因子;基于DPSIR模型提出了白山市生态安全综合评价指标体系,并进一步构建了适于山地地区的生态安全评价模型;利用1989年、1999年和2006年的3期TM遥感影像,结合研究区的DEM数据和实地调查数据建立解译标志,对白山市土地覆被进行景观分类,借助Fragstats分析景观指数,提取重要的生态安全评价指标,对白山市所辖各区县进行生态安全综合评价.结果表明:白山市生态安全的空间差异显著,整体生态安全状况呈现出一种恶化趋势,人为活动对地表景观格局和物种栖息地分布产生了深刻的影响,已成为生态安全格局变化的主要驱动力因子. 展开更多
关键词 生态安全评价 DPSIR 生态安全指数 吉林省 白山市
原文传递
Analyzing CO_(2) concentration changes and their influencing factors in Indonesia by OCO-2 and other multi-sensor remote-sensing data
3
作者 Shuai Yin Xiufeng Wang +3 位作者 Heri Santoso hiroshi tani Guosheng Zhong Zhongyi Sun 《International Journal of Digital Earth》 SCIE EI 2018年第8期825-844,共20页
We used OCO-2 products and considered three factors that potentially affect CO_(2) concentration in Indonesia:sea surface temperature(SST),forest fires and vegetation.From 2014 to 2016,CO_(2) concentration in Indonesi... We used OCO-2 products and considered three factors that potentially affect CO_(2) concentration in Indonesia:sea surface temperature(SST),forest fires and vegetation.From 2014 to 2016,CO_(2) concentration in Indonesia showed a trend of increase,which is consistent with the global increase reported by the Greenhouse Gases Observing Satellite(GOSAT)Project.As an archipelago country,the results indicate that SST has a direct effect on the CO_(2) concentration in Indonesia.Their changing exhibits similar fluctuations;meanwhile,CO_(2) concentration and SST also presented positive correlation.In 2015,the number of fire hotspots suddenly increased to 140,699,because of occurrence of the worst forest fire.Due to special geographic conditions,forest fires did not induce CO_(2) concentration changes in Indonesia,but CO_(2) concentration in the corresponding islands showed a trend of increase.CO_(2) concentration increased in Kalimantan during the occurrence of forest fire in September–October 2014,and CO_(2) concentration increased in Kalimantan and Sumatra during the occurrence of forest fire in September–October 2015.Vegetation indices were stable and presented no correlation with CO_(2) concentration.This study demonstrated that OCO-2 is capable of monitoring CO_(2) concentration at a regional scale;additionally,an effective method for using OCO-2 Level 2 products is proposed. 展开更多
关键词 GOSAT KALIMANTAN SST SUMATRA X_(CO_(2))
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部