基于区域自动站数据的兰州地区降水精细化特征     

李蓉  刘新伟  魏栋  段海霞  段伯隆  李嘉睿  狄潇泓 《干旱气象》2022,(1)

基于2012—2019年兰州地区146个区域自动气象站小时降水数据,从不同时间尺度分析兰州地区近8 a降水精细化特征。结论如下:(1)2012—2019年,兰州地区年均降水量总体呈"北少南多、外多内少"的空间分布特征;年降水量具有明显的年际变化,2018年降水异常偏多46%,而2015、2017年降水异常偏少,尤其2015年偏少30%。(2)兰州地区降水主要集中在7—8月,受环流形势影响,7—8月南部降水明显多于北部,其余月份南北降水差异不明显。(3)兰州地区降水量和降水范围分别表现为"朝少夕多"、"夜大日小"的日变化特征;受海拔高度影响,城区降水量总体比山区小,且因热岛效应,城区降水主要集中在午后至傍晚前后,多为对流性降水,而山区降水日分布较为均匀,整体日波动较小。(4)安宁区短时强降水发生频次最高,但短时强降水频发的站点出现在皋兰县六合站和永登县徐家磨村站,永登县是兰州地区短时强降水预报需重点关注的地区。  相似文献   

Annual Frequency of Tropical Cyclones Directly Affecting Guangdong Province:Prediction Based on LSTM-FC     

胡娅敏  陈韵竹  何健  刘圣军  闫文杰  赵亮  汪明圣  李芷卉  王娟怀  董少柔  刘新儒 《热带气象学报(英文版)》2022,28(1):45-56

Tropical cyclone (TC) annual frequency forecasting is significant for disaster prevention and mitigation in Guangdong Province. Based on the NCEP-NCAR reanalysis and NOAA Extended Reconstructed global sea surface temperature (SST) V5 data in winter, the TC frequency climatic features and prediction models have been studied. During 1951-2019, 353 TCs directly affected Guangdong with an annual average of about 5.1. TCs have experienced an abrupt change from abundance to deficiency in the mid to late 1980 with a slightly decreasing trend and a normal distribution. 338 primary precursors are obtained from statistically significant correlation regions of SST, sea level pressure, 1000hPa air temperature, 850hPa specific humidity, 500hPa geopotential height and zonal wind shear in winter. Then those 338 primary factors are reduced into 19 independent predictors by principal component analysis (PCA). Furthermore, the Multiple Linear Regression (MLR), the Gaussian Process Regression (GPR) and the Long Short-term Memory Networks and Fully Connected Layers (LSTM-FC) models are constructed relying on the above 19 factors. For three different kinds of test sets from 2010 to 2019, 2011 to 2019 and 2010 to 2019, the root mean square errors (RMSEs) of MLR, GPR and LSTM-FC between prediction and observations fluctuate within the range of 1.05-2.45, 1.00-1.93 and 0.71-0.95 as well as the average absolute errors (AAEs) 0.88-1.0, 0.75-1.36 and 0.50-0.70, respectively. As for the 2010-2019 experiment, the mean deviations of the three model outputs from the observation are 0.89, 0.78 and 0.56, together with the average evaluation scores 82.22, 84.44 and 88.89, separately. The prediction skill comparisons unveil that LSTM-FC model has a better performance than MLR and GPR. In conclusion, the deep learning model of LSTM-FC may shed light on improving the accuracy of short-term climate prediction about TC frequency. The current research can provide experience on the development of deep learning in this field and help to achieve further progress of TC disaster prevention and mitigation in Guangdong Province.  相似文献   

Experiments with the Improved Dynamical-Statistical-Analog Ensemble Forecast Model for Landfalling Typhoon Precipitation over South China     

马蕴琦  任福民  贾莉  丁晨晨 《热带气象学报(英文版)》2022,28(2):139-153

In recent work, three physical factors of the Dynamical-Statistical-Analog Ensemble Forecast Model for Landfalling Typhoon Precipitation (DSAEF_LTP model) have been introduced, namely, tropical cyclone (TC) track, TC landfall season, and TC intensity. In the present study, we set out to test the forecasting performance of the improved model with new similarity regions and ensemble forecast schemes added. Four experiments associated with the prediction of accumulated precipitation were conducted based on 47 landfalling TCs that occurred over South China during 2004-2018. The first experiment was designed as the DSAEF_LTP model with TC track, TC landfall season, and intensity (DSAEF_LTP-1). The other three experiments were based on the first experiment, but with new ensemble forecast schemes added (DSAEF_LTP-2), new similarity regions added (DSAEF_LTP-3), and both added (DSAEF_LTP- 4), respectively. Results showed that, after new similarity regions added into the model (DSAEF_LTP-3), the forecasting performance of the DSAEF_LTP model for heavy rainfall (accumulated precipitation ≥250 mm and ≥100 mm) improved, and the sum of the threat score (TS250 + TS100) increased by 4.44%. Although the forecasting performance of DSAEF_LTP-2 was the same as that of DSAEF_LTP-1, the forecasting performance was significantly improved and better than that of DSAEF_LTP-3 when the new ensemble schemes and similarity regions were added simultaneously (DSAEF_LTP-4), with the TS increasing by 25.36%. Moreover, the forecasting performance of the four experiments was compared with four operational numerical weather prediction models, and the comparison indicated that the DSAEF_LTP model showed advantages in predicting heavy rainfall. Finally, some issues associated with the experimental results and future improvements of the DSAEF_LTP model were discussed.  相似文献   

Sensitivity Analysis of the Super Heavy Rainfall Event in Henan on 20 July (2021) Using ECMWF Ensemble Forecasts     

黄绮君  葛旭阳  彭顺台  邓中仁 《热带气象学报(英文版)》2022,28(3):308-325

An unprecedented heavy rainfall event occurred in Henan Province, China, during the period of 1200 UTC 19 -1200 UTC 20 July 2021 with a record of 522 mm accumulated rainfall. Zhengzhou, the capital city of Henan, received 201.9 mm of rainfall in just one hour on the day. In the present study, the sensitivity of this event to atmospheric variables is investigated using the ECMWF ensemble forecasts. The sensitivity analysis first indicates that a local YellowHuai River low vortex (YHV) in the southern part of Henan played a crucial role in this extreme event. Meanwhile, the western Pacific subtropical high (WPSH) was stronger than the long-term average and to the west of its climatological position. Moreover, the existence of a tropical cyclone (TC) In-Fa pushed into the peripheral of the WPSH and brought an enhanced easterly flow between the TC and WPSH channeling abundant moisture to inland China and feeding into the YHV. Members of the ECMWF ensemble are selected and grouped into the GOOD and the POOR groups based on their predicted maximum rainfall accumulations during the event. Some good members of ECMWF ensemble Prediction System (ECMWF-EPS) are able to capture good spatial distribution of the heavy rainfall, but still underpredict its extremity. The better prediction ability of these members comes from the better prediction of the evolution characteristics (i.e., intensity and location) of the YHV and TC In-Fa. When the YHV was moving westward to the south of Henan, a relatively strong southerly wind in the southwestern part of Henan converged with the easterly flow from the channel wind between In-Fa and WPSH. The convergence and accompanying ascending motion induced heavy precipitation.  相似文献   

Characteristics of Radar Echo Parameters and Microphysical Structure Simulation of a Short-Time Heavy Precipitation Supercell     

赵桂香  王一颉  连志鸾 《热带气象学报(英文版)》2022,28(4):388-404

By using the conventional observations, radar data, NCEP/NCAR FNL 1o×1o reanalysis data and numerical simulation data and with the construction and calculation of radar echo parameters, this paper presents the structural characteristics and physical processes of a short-time heavy precipitation supercell that occurred in the squall line process in Shanxi Province on 24 June 2020. The results show that this squall line event occurred in front of a surface cold front, combined with infiltration of low-level cold air and continuous increase of near-surface humidity in the afternoon. The surface mesoscale convergence line and mesoscale dew point front contributed to the development and systemization of the squall line by a large degree. The short-time extremely heavy precipitation in Pingshun County was caused by the development of a supercell from thunderstorm cells on the front side of the squall line. The characteristics of sharp increase in vertical integral liquid water content, persistent increase in reflectivity factor and continuous rise in the echo top height appeared about 23 min earlier than the severe precipitation, which has qualitative indicating significance for the nowcasting of short-time heavy precipitation. A quantitative analysis of the radar echo parameters suggests that the “sudden drop”of FV40 was a precursor signal of cells’coalescence and rapid development to the mature stage. The areal change of the echo core at the 6 km height was highly subject to the merging and developing of cells, the rapid change of hydrometeor particles in clouds and the precipitation intensity. Changes in the cross-sectional area of convective cells at different heights can indirectly reflect the changes of liquid particles and ice particles in clouds, which is indicatively meaningful for predicting the coalescing and developing-to-maturing of cells and heavy precipitation 30-45 min earlier. A comprehensive echo parameter prediction model constructed by the random forest principle can predict the magnitude of short-time heavy precipitation 40-50 min in advance. Numerical simulation reveals that large amounts of water vapor existed in the near-surface atmosphere, and that the cells rapidly obtained moisture from the ambient atmosphere and developed rapidly through maternal feeding. The cold cloud zone was narrow, upright and had a high stretch height. The upward motion in clouds was strong and deep, and very rich in liquid water content. The graupel particles had a large vertical distribution range, the coexistence area of graupel and snow was large, the height of raindrops was close to the surface with a wide horizontal scale, and the precipitation efficiency was high. These may be the important elements responsible for the occurrence of the short-time heavy precipitation that exceeded historical extreme values. On the basis of the above analyses, a comprehensive parameter (CP) prediction model is worked out, which can estimate the developing trend of supercells and the intensity of short-time heavy precipitation about 1 h in advance.  相似文献   

长短时记忆神经网络在中期地震预报中的探索--以川滇地区为例     

李林芳  石耀霖  程术 《地球物理学报》2022,65(1):12-25

利用机器学习方法对地震活动大数据进行挖掘,识别出一些过去认识不到的异常,提高地震预测的准确性,是一个非常具有挑战性的科学问题.本文基于川滇部分地区(24°N—32°N,98°E—106°E)地震目录,采用滑动的时空窗口,选取16个反映地震时空强度分布特征的地震预测因子,建立了长短时记忆(LSTM)神经网络,对研究区域9个子区块未来一年的最大地震震级进行预测.通过设置训练集∶测试集=8∶2和训练集∶测试集=7∶3两个不同的训练测试模型,对过往发生的地震进行了回溯性预报.结果表明:训练集∶测试集=7∶3模型能够利用1970年1月至2004年9月的地震目录进行学习,成功回溯性预报2008年汶川地震;训练集∶测试集=8∶2模型利用1970年1月至2009年5月资料进行训练,回溯性预报2010—2019年间6级以上地震的R评分为0.407,回溯性7级地震预报时准确率高达92.31%.本文还探讨性给出预测意见:2022年2月前研究区西部、中部、东部、西南部存在发生5.1~5.3级地震的潜在危险性.  相似文献   

山东省沂南县东部土壤重金属生态健康风险评价          下载免费PDF全文

刘同  刘传朋  邓俊  康鹏宇  王凯凯  赵玉岩 《中国地质》2022,49(5):1497-1508

【研究目的】 山东是中国矿业与农业发达省份、沂南县东部堪称其代表。掌握当地土壤重金属污染及对生态健康风险的影响对生态环境保护有重要意义。【研究方法】 系统调查分析表层土壤样品4779件,获取Hg、Cd、Cr、Ni、As、Cu、Pb、Zn等元素分布最新数据,并用地累积指数法、潜在生态危害指数法和健康风险评估模型等评价研究了生态健康风险及相关问题。【研究结果】 （1）上述重金属均量与临沂市土壤背景值大致相当,仅Hg略偏高且变异系数最大,指示当地土壤Hg受人类活动影响明显。与国家农用地土壤污染风险筛选值相比,Cu、Cr、Ni是相对主要超标元素,As、Cd、Cu、Pb超标倍数大,它们均可能会产生生态健康危害;（2）据地累积指数平均值,该区土壤总体无污染,据单样值,Hg、Cu污染最突出,其他6元素污染较轻;（3）生态风险方面,Hg、Cd是主要生态风险元素,As、Cu次之。高生态风险区为铜井镇南东部、界湖镇西北金场附近以及县城西部主城区3个片区;（4）人体健康风险方面,重金属对成人不具有非致癌风险和致癌风险,极个别地区对儿童具有非致癌风险和致癌风险,Cr、As是主要非致癌风险元素,As致癌风险最大。【结论】 沂南县东部土壤质量总体较好,铜井镇南东部、界湖镇西北金场附近以及县城西部主城区3个片区为高生态风险区,Hg、Cr、As为主要生态健康风险元素。  相似文献   

内蒙古新巴尔虎右旗土壤重金属生态风险与来源分析          下载免费PDF全文

杨玲  田磊  白光宇  裴圣良  张德强 《中国地质》2022,49(6):1970-1983

【研究目的】新巴尔虎右旗地处呼伦贝尔草原深处,矿业活动频繁。了解该地区土壤中重金属来源以及生态风险是评估区域环境影响前提。【研究方法】本文系统采集了矿石、基岩及土壤样品共221件,测试并分析了Cd、Cr、As、Hg、Ni、Pb、Zn等7种重金属元素的含量。利用地积累指数法和潜在生态风险指数法评价了重金属的污染程度和生态风险,并综合运用相关分析、主成分分析法判断了土壤重金属的来源。【研究结果】研究表明,新巴尔虎右旗土壤重金属污染以轻度为主,Cd、Ni、As、Cr、Pb元素均存在一定程度的污染,污染区域集中于甲查矿区、准乌兰诺尔、呼伦湖西北岸以及克鲁伦河中游。Cr、Ni、Hg主要受人类活动影响;Cd、Zn、Pb受到自然因素与人类活动共同影响,As主要受自然因素影响。【结论】总体来看,本区生态风险整体较低,以Cd对生态风险的贡献最为突出,在本区土壤质量监测中应受到重视。  相似文献   

降雨形式对毛细阻滞覆盖层防渗性能的影响研究     

李宁  潘行  张茂建  张慧莉  李昕珍  许建聪 《岩土力学》2022,43(6):1546-1556

毛细阻滞覆盖层的防渗性能对于控制渗滤液和减轻垃圾填埋场周边环境的污染具有重要意义,因此得到广泛研究。前人在研究中多采用恒定降雨强度来模拟降雨气象条件,而对降雨形式对毛细阻滞覆盖层防渗性能的影响关注较少。因此,采用自主研发的土柱降雨入渗试验系统,分别对短时强降雨和长时弱降雨两种降雨情况下,降雨形式对毛细阻滞覆盖层防渗性能的影响开展了研究,并揭示了最不利降雨形式。同时,采用SEEP/W软件对各试验工况进行数值模拟,以使模拟结果与试验结果能够相互印证。研究结果表明：试验结果与模拟结果基本一致,最大误差不大于3%;在短时强降雨情况下,降雨形式仅对覆盖层上部的体积含水率和孔隙水压力有较大影响;而在长时弱降雨条件下,降雨形式对整个覆盖层的体积含水率和孔隙水压力均有显著影响;降雨形式对覆盖层突破时间及渗漏量均有影响,前锋型降雨的突破时间最短,产生的渗漏量最大,后锋型降雨的突破时间最长,产生的渗漏量最小;前锋型降雨更易造成覆盖层突破失效而产生较大的渗漏量,为最不利降雨形式。该研究结果可为毛细阻滞覆盖层设计提供参考依据。  相似文献   

攀西大梁子铅锌矿区水系沉积物重金属地球化学特征及源解析     

朱英海  施泽明  王新宇  张凯亮  朱伯丞 《现代地质》2022,36(3):923-932

长江上游是整个长江经济带的重要生态屏障。以长江上游攀西大梁子铅锌矿区水系沉积物为研究对象,查明了重金属元素含量的空间分布特征,分析了重金属来源,探讨了在不同pH条件下重金属的淋滤规律,并进行了生态风险评估。研究结果显示:攀西大桥河流域水系沉积物中重金属的空间分布极不均匀,其含量明显要高于长江水系沉积物中重金属的平均含量;重金属生态风险属于很强风险,Hg和Cd呈高度富集、严重污染;Pb和Zn呈中度富集、中等污染。淋滤实验结果表明Pb、Zn、Cd在酸性和中性条件下淋滤浓度先快速下降,后逐渐趋于平衡,而As在快速下降后又有缓慢升高的趋势。大桥河流域水系沉积物中As、Cd、Pb、Zn主要来源于大梁子铅锌矿的采选活动,Hg为岩石风化和土壤剥蚀来源,而Cu和Cr主要为农业和工业活动来源。综合对比发现,攀西成矿带铅锌矿周边土壤富Cd而贫Cr,此外Cd、Pb、Zn、Hg是主要潜在污染物,且生态风险程度较高。  相似文献