一种工业热源提取方法:利用温度特征模板的BP神经网络     

李博  范俊甫  韩留生  孙广伟  张大富  张盼盼 《地球信息科学学报》2022,24(3):533-545

针对年尺度热异常数据提取工业热源的方法存在数量和空间精细化程度不足的问题,使用VIIRS Active Fire数据,提出了一种基于温度特征模板的BP神经网络工业热源提取方法。该方法以京津冀及周边地区为试验区,首先,根据工业热源空间聚集性特征,使用OPTICS算法划分热源对象;其次,根据热源的热辐射特征,构建工业热源与非工业热源温度特征模板;最后,以温度特征模板、热源统计特征等作为参数,使用BP神经网络提取工业热源对象。结果表明：① 本文提出的基于温度特征模板的BP神经网络算法的工业热源提取精度达到了96.31%,与时间滤波、逻辑回归方法相比较,工业热源提取精度分别提高了8.45%、7.53%;② 2015—2020年京津冀及周边地区6省市工业热源数量整体减少了27.46%;河北省工业热源对象数量和热异常点数量年均减少了8.06%和7.44%,相对于其他省市减少幅度最大;山东、天津的工业热源集中度分别提高了25.72%、86.64%,说明两地工业转型升级政策取得较显著成效;③ 唐山、邯郸、吕梁和长治4个城市工业热源对象数量占试验区全部的31.37%,为京津冀及周边地区工业热源主要分布城市;临汾、太原等7个城市工业热源聚集程度和能源消耗程度高于其他城市;北京、周口等11个城市工业热源聚集程度和能源消耗程度低于其他城市;④ 2020年1—5月,京津冀及周边地区工业热异常点数量相对于2019、2021年同期保持不变或增加,新冠疫情对试验区工业热源无显著影响;2020年1、2月武汉工业热异常点数量与2019、2021年同期相比数量减少了66.67%以上,2020年3—5月工业热异常点数量低于2019年同期,2020年1—5月新冠疫情对武汉市工业热源影响显著。该研究反映了京津冀及周边地区工业热源发展的现状及趋势,能够为降低能耗和提高第二产业集中度等相关政策的制定与调整提供有价值的参考。  相似文献   

顾及多因子影响的中国区域T_m模型精化研究     

李浩杰  刘立龙  黄良珂  莫智翔  蔡猛 《大地测量与地球动力学》2022,42(4):393-397

利用中国区域2015~2017年探空数据,建立一种顾及地表温度、地表水汽压、高程和纬度的中国区域大气加权平均温度T_m模型（BET模型）。以2018年探空站T_m数据为参考值,分析BET模型精度,并与Bevis模型和GPT3模型进行对比。结果表明,BET模型年均RMSE与bias分别为3.15 K和0.04 K,相比于Bevis模型、1°×1°分辨率的GPT3模型和5°×5°分辨率的GPT3模型,年均RMSE分别降低29.2%、32.8%和39.1%,年均bias分别降低96.4%、96.7%和97.4%,且该模型在中国区域不同高程和纬度上的精度与稳定性优于Bevis模型和GPT3模型。  相似文献   

Enhanced Biodegradation of High-Salinity and Low- Temperature Crude-Oil Wastewater by Immobilized Crude-Oil Biodegrading Microbiota     

HUANG Xiao  ZHOU Ting  CHEN Xi  BAI Jie  ZHAO Yangguo 《中国海洋大学学报(英文版)》2022,21(1):141-151

High salt and low temperature are the bottlenecks for the remove of oil contaminants by enriched crude-oil degrading microbiota in Liaohe Estuarine Wetland(LEW),China.To improve the performance of crude-oil removal,microbiota was further immobilized by two methods,i.e.,sodium alginate(SA),and polyvinyl alcohol and sodium alginate(PVA+SA).Results showed that the crude oil was effectively removed by the enrichment with an average degrading ratio of 19.42-31.45 mg(L d)^?1.The optimal inoculum size for the n-alkanes removal was 10%and 99.89%.Some members of genera Acinetobacter,Actinophytocola,Aquabac-terium,Dysgonomonas,Frigidibacter,Sphingobium,Serpens,and Pseudomonas dominated in crude-oil degrading microflora.Though the removal efficiency was lower than free bacteria when the temperature was 15℃,SA and PVA+SA immobilization im-proved the resistance to salinity.The composite crude-oil degrading microbiota in this study demonstrated a perspective potential for crude oil removal from surface water under high salinity and low temperature conditions.  相似文献   

Effect of Temperature on the Acoustic Reflection Characteristics of Seafloor Surface Sediments     

ZOU Dapeng  YE Guican  LIU Wei  SUN Han  LI Jun  XIAO Tibing 《中国海洋大学学报(英文版)》2022,21(1):62-68

Because the sound speeds of seawater and seafloor sediment both increase with temperature,the influence of tempera-ture on the bottom reflection characteristics of seafloor sediments needs to be investigated.Based on the calculation of the temperature-controlled experimental measurement data of typical seafloor surface sediment samples,the temperature-dependent acoustic characteristics,including acoustic impedance,acoustic impedance ratio between surface sediment and seawater,and reflection coefficient,were analyzed.The effective density fluid model was used to analyze and explain the reflection coefficient variation of surface sediments with temperature and predict the dispersion characteristics.Results show that the acoustic impedance of the seabed sediment increases with temperature,whereas the acoustic impedance ratio and acoustic reflection coefficient slightly decrease.The acoustic impedance,acoustic impedance ratio,and acoustic reflection coefficient of sandy,silty,and clayey sediments vary similarly with tem-perature variation.Moreover,the influence of temperature on these acoustic characteristics is independent of detection frequencies.  相似文献   

Record Arctic Ozone Loss in Spring 2020 is Likely Caused by North Pacific Warm Sea Surface Temperature Anomalies     

Yan XIA  Yongyun HU  Jiankai ZHANG  Fei XIE  Wenshou TIAN 《大气科学进展》2021,38(10):1723-1736

Record ozone loss was observed in the Arctic stratosphere in spring 2020. This study aims to determine what caused the extreme Arctic ozone loss. Observations and simulation results are examined in order to show that the extreme Arctic ozone loss was likely caused by record-high sea surface temperatures(SSTs) in the North Pacific. It is found that the record Arctic ozone loss was associated with the extremely cold and persistent stratospheric polar vortex over February–April, and the extremely cold vortex was a result of anomalously weak planetary wave activity. Further analysis reveals that the weak wave activity can be traced to anomalously warm SSTs in the North Pacific. Both observations and simulations show that warm SST anomalies in the North Pacific could have caused the weakening of wavenumber-1 wave activity, colder Arctic vortex, and lower Arctic ozone. These results suggest that for the present-day level of ozone-depleting substances, severe Arctic ozone loss could form again, as long as certain dynamic conditions are satisfied.  相似文献   

Homogenization of the Daily Land Surface Temperature over the Mainland of China from 1960 through 2017     

Dan WANG  Aihui WANG  Xianghui KONG 《大气科学进展》2021,38(11):1811-1822

Land surface temperature(LST) is one of the most important factors in the land-atmosphere interaction process. Raw measured LSTs may contain biases due to instrument replacement, changes in recording procedures, and other non-climatic factors. This study attempts to reduce the above biases in raw daily measurements and achieves a homogenized daily LST dataset over China using 2360 stations from 1960 through 2017. The high-quality land surface air temperature(LSAT)dataset is used to correct the LST warming biases especially evident during cold months in regions north of 40°N due to the replacement of observation instruments around 2004. Subsequently, the Multiple Analysis of Series for Homogenization(MASH) method is adopted to detect and then adjust the daily observed LST records. In total, 3.68 × 103 effective breakpoints in 1.65 × 106 monthly records(about 20%) are detected. A large number of these effective breakpoints are located over large parts of the Sichuan Basin and southern China. After the MASH procedure, LSTs at more than 80% of the breakpoints are adjusted within +/– 0.5°C, and of the remaining breakpoints, only 10% are adjusted over 1.5°C.Compared to the raw LST dataset over the whole domain, the homogenization significantly reduces the mean LST magnitude and its interannual variability as well as its linear trend at most stations. Finally, we perform preliminary analysis upon the homogenized LST and find that the annual mean LST averaged across China shows a significant warming trend [0.22°C(10 yr)–1]. The homogenized LST dataset can be further adapted for a variety of applications(e.g.,model evaluation and extreme event characterization).  相似文献   

Influence of Sea Surface Temperature on the Predictability of Idealized Tropical Cyclone Intensity     

钟权加  李建平  李舒文  王羱  丁瑞强  张立凤 《热带气象学报(英文版)》2021,27(4):355-367

The role of sea surface temperature (SST) forcing in the development and predictability of tropical cyclone (TC) intensity is examined using a large set of idealized numerical experiments in the Weather Research and Forecasting (WRF) model. The results indicate that the onset time of rapid intensification of TC gradually decreases, and the peak intensity of TC gradually increases, with the increased magnitude of SST. The predictability limits of the maximum 10 m wind speed (MWS) and minimum sea level pressure (MSLP) are ~72 and ~84 hours, respectively. Comparisons of the analyses of variance for different simulation time confirm that the MWS and MSLP have strong signal-to-noise ratios (SNR) from 0-72 hours and a marked decrease beyond 72 hours. For the horizontal and vertical structures of wind speed, noticeable decreases in the magnitude of SNR can be seen as the simulation time increases, similar to that of the SLP or perturbation pressure. These results indicate that the SST as an external forcing signal plays an important role in TC intensity for up to 72 hours, and it is significantly weakened if the simulation time exceeds the predictability limits of TC intensity.  相似文献   

浅谈多传感器融合技术在气象观测中应用          下载免费PDF全文

张瑞  蒲小兰  周宇 《中低纬山地气象》2022,46(2):118-120

多传感器融合技术现阶段在气象观测中的应用主要体现在气温降水多传感器上,多传感器的正式运行减轻了地面气象观测人工维护工作量,确保气温与雨量数据的完整性,但在使用中发现多传感器融合观测存在的一些问题,如果能完善解决这些问题,则能进一步提高气温降水观测数据的准确性,实现全方位地面观测自动化。  相似文献   

基于多模式集成冬半年气温预报偏差修正     

齐铎  刘松涛  赵广娜  高梦竹 《气象与环境学报》2022,38(3):119-126

卡尔曼滤波递减平均方法对模式直接输出的气温预报进行订正,能有效提高预报准确率,但有时会造成显著负订正的现象,使订正预报效果反而不及模式直接输出。利用消除偏差集合平均方法(BREM)选择最优滑动训练期对2019年10月至2020年4月ECMWF预报(EC)、经过卡尔曼滤波递减平均法订正的预报(EC_COR)及中央台网格指导预报(SCMOC)等3种气温预报在黑龙江省的结果进行集成,并将BREM方法对EC_COR的修正效果进行评估,结果表明:不同预报结果都表现为冬季和夜间预报的准确率更低,气温偏低的11月至翌年1月更倾向于表现出预报较实况系统性偏高的特点。BREM方法能有效地修正EC_COR对EC负订正的现象,且可显著高于任何一种参与集成的单一预报效果。可在对单一模式进行卡尔曼滤波递减平均订正的基础上,进一步提升预报质量。另外,利用集成方法对高质量预报产品的融合(不局限于模式直接输出预报或是订正预报)可获取较单一预报更优的预报结果。  相似文献   

Uncertainty in projections of the South Asian summer monsoon under global warming by CMIP6 models: Role of tropospheric meridional thermal contrast          下载免费PDF全文

Yunqi Kong  Yuting Wu  Xiaoming Hu  Yana Li  Song Yang 《大气和海洋科学快报》2022,15(1):100145

本文基于第六次国际耦合模式比较计划共18个模式的工业革命前实验和CO₂浓度突然四倍实验,发现在CO₂四倍强迫下,南亚夏季风环流呈显著减弱趋势,但减弱强度存在较大模式间差异.利用Webster-Yang指数和经向哈得莱环流指数的下降趋势表征SASM减弱强度,发现该下降趋势与欧亚大陆-印度洋之间对流层上层经向温度梯度的变化值(EUTT-IUTT)高度相关.进一步利用气候反馈-响应分析方法进行分析,发现EUTT-IUTT变化的模式间差异主要来自于大气动力过程,其次是云的短波辐射效应的贡献.地表潜热通量和云的长波辐射效应缩小了EUTT-IUTT变化的模式间差异.  相似文献