长江中下游六省大气甲烷柱浓度时空分布

甲烷(CH4)是造成气候变暖的主要温室气体之一。为了了解长江中下游水稻种植区CH4浓度的分布情况,本次研究基于温室气体观测卫星(greenhouse gases observing satellite,GOSAT)和大气红外探测仪(atmospheric infrared sounder,AIRS)卫星反演的数据产品,对我国长江中下游六省大气CH4柱浓度的时空分布特征进行了研究。研究结果表明,由GOSAT反演的长江中下游六省大气CH4浓度呈逐年增长趋势,其年均浓度由2011年的1817×10^?9增长至2018年的1875×10^?9,高于东三省、华北平原和全国平均水平。区域平均年增长量为8.2×10^?9 a^?1。各省年际增长幅度略有差异,纬度偏低的江西、湖南和浙江三省大气CH4浓度高且增长量偏大,纬度偏高的湖北、安徽和江苏三省大气CH4浓度略低且增长量偏小。长江中下游六省大气CH4呈现较强的季节变化特征,湖北、湖南、江西和浙江峰值出现在9月,安徽、江苏峰值出现在8月。垂直方向上长江中下游六省CH4浓度随气压降低,浓度逐渐减小,呈现出明显的季节变化特征,近地面层GOSAT反演的最高值出现在夏季,最低值出现在春季;高层最高值出现在秋季,最低值出现在春季。AIRS反演的大气CH4浓度空间分布上北高南低,与GOSAT反演结果不一致,可能由于AIRS主要反映了对流层中层大气状况而GOSAT更多的反映了近地面层大气CH4的变化。其垂直方向上呈现高度越高,浓度越低,不同高度上秋季浓度均最高。     

热红外遥感技术在江西寻乌地区地热勘查中的应用

热红外遥感是地热资源勘查中的常用技术,对江西寻乌地区的Landsat 8热红外影像采用单窗算法,根据MODIS影像计算大气水汽含量,并逐步获取反演参数,得到地表温度反演结果;利用MOD11_L2地表温度产品对结果进行对比分析,验证反演有效性。通过对已有地热资料和地质构造背景的研究,总结地热形成的有利构造条件,分析地表反演温度与已有地热及断裂构造之间的空间关系,建立地热异常区圈定依据,并剔除假异常,最终在研究区圈定了11个潜在地热异常区,为该区地热勘查提供依据。     

An Operational Precipitable Water Vapor Retrieval Algorithm for Fengyun-2F/VISSR Using a Modified Three-Band Physical Split-Window Method

The Visible and Infrared Spin-Scan Radiometer(VISSR) onboard the Fengyun-2(FY-2) satellite can provide valuable thermal infrared observations to help create a precipitable water vapor(PWV) product with high spatial and temporal resolutions. The current FY-2/VISSR PWV product in operation is produced by using a traditional two-band physical split-window(PSW) method, which produces low quality results under dry atmospheric conditions. Based on the sensitivity characteristics of FY-2 F/VISSR water vapor channel and two split-window channels to atmospheric water vapor, this study developed a new, robust operational PWV retrieval algorithm for FY-2 F to improve the operational precision of the current PWV product. The algorithm uses a modified three-band PSW method, which adds a scale for the water vapor channel in the improved three-band PSW method. Integrated PWV products from the radiosonde data in 2016 are used here to validate the precision of the PWV retrieved by the modified three-band and traditional two-band PSW methods. The mean bias, root mean square error(RMSE), and correlation coefficient of the PWV retrieved by the modified three-band PSW method are 0.28 mm, 4.53 mm, and 0.969, respectively. The accuracy is much better than the PWV retrieved by the two-band method, whose mean bias, RMSE, and correlation coefficient are 12.67 mm, 29.35 mm, and 0.23. Especially, in mid-or high-latitude regions, the RMSE of the PWV is improved from 10 to 2 mm by changing the inversion in the two-band method to the modified three-band PSW method. Furthermore, the modified three-band PSW results show a better consistency with the radiosonde PWV at any zonal belt and season than the two-band PSW results. This new algorithm could significantly improve the quality of the current FY-2 F/VISSR PWV product, especially at sites where the actual PWV are lower than 15 mm.     

白天和夜间通用的卫星遥感沙尘判识算法构建与验证分析

Himawari-8是日本发射的新一代静止气象卫星,与前一代的MTSAT-2相比,在时间、空间分辨率上都有了很大提升,特别是红外通道数量从4个增至10个,为红外遥感沙尘提供了新的观测数据。本研究利用Himawari-8的红外观测数据,发展了仅用红外通道的沙尘全天候判识算法,可以实现对白天和夜间的连续监测。算法在前人基础上去除了可见光通道,同时引入更多红外通道来进行云检测和沙尘判识。由于一日之中,地表温度发生变化,因此针对白天和夜间设置了两套不同的判别阈值,来保证算法的全天适用性。最后通过两次沙尘事件对沙尘判别结果的分析和检验表明,遥感判识结果与地面气象站和PM_(10)观测较为一致,说明了只用红外通道全天候判识沙尘的可行性。     

油气包裹体的显微红外光谱测试技术及应用

单一油气包裹体的成分一直是地质学家关注的焦点,它能为油气成藏研究提供最直接的证据。显微红外光谱技术可以测定单个油气包裹体的成分、分子结构和其中油气包裹体的成熟度。本文应用显微红外光谱技术、包裹体的鉴定和均一温度测定技术,分析了大庆探区海拉尔盆地乌27井、巴16井、希3井等样品的包裹体。研究表明,乌27井有过两期成藏,并以第二期为主;巴16井也有过两期主要成藏,且第二期具混源的特点;希3井只有一次主要成藏期。同时利用红外光谱的CH2/CH3值、Xinc、Xstd划分了三口井的油气成藏期次,结果与镜下鉴定结论相一致,并确定了其中油气包裹体的成熟度。本文还探讨了显微-红外光谱测试单一油气包裹体的发展方向。     

基于超熵理论的泥石流危险性模糊综合评判

泥石流灾害往往造成巨大经济损失,但由于其影响因素众多,如何合理进行危险性评判一直是研究的焦点问题.本文以研究项目为依托,选择泥石流流域沟谷的纵剖面形态指数作为流域的地貌特征指标,用超熵理论量化泥石流流域地貌系统的稳定性与演化趋势,并借助于模糊综合评判手段,对泥石流危险性进行评价.评判结果表明:该方法的评价结果与实际较为接近,为泥石流流域系统的演化趋势预测以及危险性等级划分提供了良好的分析方法.     

2020年新疆于田Ms6.4地震前热红外亮温异常研究

获取了2020年4-7月新疆于田Ms6.4地震区周边约400 km范围内连续的中国气象卫星FY-2G遥感热红外资料,选取北京时间凌晨1:00～5:00时的分钟值数据,经过小波变换和功率谱估计法进行处理,得到研究区地震前后相对功率谱异常演化过程,对比分析了 2019年相同频率同期的相对功率谱幅值,并讨论了异常时间演化过程...     

坠落物体产生的冲击荷载对海底管线的损伤分析

提出了坠落物体产生的冲击荷载对海底管线的损伤一种简易可行的分析方法。对坠落物体进行分类,然后进行运动形式分析,求得冲击速度,根据动力问题控制方程,使用著名商业软件‘ANSYS/LS-DYNA’,‘LS-DYNA’是世界上最著名的通用显式动力分析程序,对实际的工程算例进行了仿真模拟分析。得到的计算结果与已有经验方程结果是基本一致的。该方法可以和一般风险分析方法一起用作海底管线损伤分析和保护措施校核分析。     

Response of Microbial Communities in Soil to Multi-level Warming in a Highland Barley System of the Lhasa River

No studies have examined the effect of experimental warming on the microbial biomass and community composition of soil in agricultural ecosystem on the Qinghai-Tibet Plateau. Thus it is unclear whether the influences of experimental warming on microbial communities in soil are related to warming magnitude in croplands on this Plateau. This study performed warming experiment (control, low- and high-level) in a highland barley system of the Lhasa River in May 2014 to examine the correlation between the response of microbial communities in soil to warming and warming magnitude. Topsoil samples (0-10 and 10-20 cm) were collected on September 14, 2014. Experimental warming at both low and high levels significantly increased soil temperature by 1.02 ℃ and 1.59 ℃, respectively at the depth of 15 cm. Phospho lipid fatty acid (PLFA) method was used to determine the microbial community in soil. The low-level experimental warming did not significantly affect the soil’s total PLFA, fungi, bacteria, arbuscular mycorrhizal fungi (AMF), actinomycetes, gram-positive bacteria (G⁺), gram-negative bacteria (G^-), protozoa, the ratio of fungi to bacteria (F/B ratio), and ratio of G⁺ to G^- (G⁺/G^- ratio) at the 0-10 and 10-20 cm depth. The low-level experimental warming also did not significantly alter the composition of microbial community in soil at the 0-10 and 10-20 cm depth. The high-level experimental warming significantly increased total PLFA by 74.4%, fungi by 78.0%, bacteria by 74.0%, AMF by 66.9%, actinomycetes by 81.4%, G⁺ by 67.0% and G^- by 74.4% at the 0-10 cm depth rather than at 10-20 cm depth. The high-level experimental warming significantly altered microbial community composition in soil at the 0-10 cm depth rather than at 10-20 cm depth. Our findings suggest that the response of microbial communities in soil to warming varied with warming magnitudes in the highland barley system of the Lhasa River.