黄河宁夏段凌汛期气温变化特征

利用宁夏1991~2010年20 a凌汛期水文和气温序列资料,研究了宁夏凌汛期特征、凌汛灾害发生主要时段,黄河封河、开河集中期与日平均气温之间的关系。结果表明:宁夏凌汛特征为封开河时序相反,小流量、高水位行洪,受强冷空气影响较大;凌汛灾害主要发生在封河和开河期间;日平均气温正负转化日期与封、开河期有对应关系,宁夏封河集中期在12月20日至1月19日;开河集中日期在2月13~20日。在凌汛关键期结合MODIS遥感数据对凌汛灾害监测防范有一定指导意义。     

Sq的经度效应

本文提供了一个事实:同纬度不同经度台站的S_q曲线可以有很大的差异。对拉萨台的S_q异常作了一些初步的、定性的分析与解释。对八丈台的S_q异常则认为难以解释,值得深入研究。     

大地电磁场的两种大震短临异常

根据中法电磁合作台运行6年的资料，在年变形态对比的基础上合理地选取有效测道值构建了相应的时间序列图。从中发现昆仑山口西8．1级大震前一个多月时间中，正常大地电磁场中叠加间歇性畸变干扰，按形态分为‘阶跃突跳’、‘单尖突变’两种类型。简略地讨论了产生两种异常现象的可能机制。     

Snowmelt characteristics in a pristine mountain catchment of the Jalovecký Creek,Slovakia, over the last three decades

The Jalovecký Creek catchment, Slovakia (area 22.2 km², mean elevation 1500 m a.s.l.), is likely the last big valley complex in the Carpathian Mountains, in which the hydrological cycle is still governed by natural processes. Hydrological research is conducted there since the end of the 1980s. The overall mission of the research is to increase the knowledge about the hydrological cycle in the highest part of the Carpathians. The research agenda, briefly introduced in the first part of this article, is focused on water balance, snow accumulation and melt and runoff formation. Recent analysis of precipitation, discharge, snow cover and isotopic data from period 1989–2018 indicates that hydrological cycle has become more dynamic since 2014. Although several indicators suggest that it could be related to the cold part of the year, direct links with snow storage and the contribution of snowmelt water to catchment runoff were not confirmed. The second part of the article is therefore focused on an analysis of daily cycles in streamflow in March to June 1988–2018 to obtain a deeper insight into the snowmelt process. We describe characteristics of the cycles and examine their variability over the study period. The results indicate that less snow at the lowest elevations (800–1150 m a.s.l.) since 2009 could have influenced the cessation of the cycles in June since 2010. The possible role of the decreased amount of snow at the lowest elevations in changes in runoff characteristics is also suggested by an increase in time lags between maximum discharges during the events and maximum air temperatures preceding discharge maxima measured near the catchment outlet (at 750 m a.s.l.) in spring 2018 compared to springs with a similar number of streamflow cycles in the years 1988, 2000 and 2009. Wavelet analysis did not indicate changes in global power spectra in hourly discharge and air temperature data.     

中国北方典型沙尘天气特征研究

 根据API、风速、风向及相关气象数据初步研究了中国北方两次典型沙尘天气的天气特征。两次沙尘天气过程中极大风速大于7.2 m·s-1的气象站占88%。2005年4月27日极大风速超过17.2 m·s-1的气象站有31个,出现频率最高的风向为西西北,28日达到81个,风向为北风,极大风速高值区由内蒙古中东部向东北方向迅速扩大。2007年3月30日极大风速超过17.2 m·s-1的气象站有57个,31日达到68个,风向均为西西北,极大风速高值区分布较为稳定。受沙尘暴影响的地区API显著升高。2005年4月28日呼和浩特、大同、北京3个城市的API分别为418、500、500。2007年3月31日呼和浩特、赤峰、大同3个城市的API分别为500、500、423。对PM10与气象因子的相关性进行分析得出,沙尘暴期间,大气中可吸入颗粒物的浓度与风速存在显著的正相关关系,风速越高的地区,可吸入颗粒物的浓度越大。     

电网负荷特性分析与预测探讨

利用武汉市2013—2018年逐15 min精细化电力负荷数据及武汉市日降水、气温等气象资料,统计分析电力负荷特征指标,探寻电力负荷的构成、变化规律及其与气象因子的关系。研究结果表明: (1) 近年来武汉市电力负荷和日负荷峰谷差屡破新高,夏季高温持续时间和强度大小对空调负荷影响最为显著。电力负荷随季节变化呈现出明显的“双峰双谷”特征。(2) 夏季电力负荷远高于其它三季,冬季次之。四季日变化特征总体呈现“昼高夜低”的分布。(3) 工作日和双休日负荷明显高于节假日,工作日负荷略高于双休日,其中工作日的早高峰负荷最大,而双休日和节假日的晚高峰负荷最大。(4) 气象因子对全社会用电量影响尤为重要。夏季气象敏感负荷与日平均气温的关系最密切,当平均气温高于初始敏感值和强敏感值时,电力负荷随气温上升增幅更加明显。(5) 无论是否出现降水,夏季气象敏感负荷与日平均气温的关系都很密切。无降水天气,负荷与日平均气温相关性最高;有降水发生时,气象敏感负荷与日平均气温的相关性呈下降趋势,总体反映出降水影响气温、气温影响电力负荷的物理过程和机制。

     

气象上寒潮天气两种不同统计方法的探讨

文章使用多伦县2001—2010年寒潮天气统计资料,分析了当地寒潮变化特征,通过对寒潮统计两种不同方法从降温特征、大气环流特征及地表覆盖几个方面进行分析,得出如下结论:按日最低气温降温幅度统计寒潮天气出现次数明显多于按日平均气温降温幅度统计寒潮天气出现的次数,尤其在初冬和冬末季节日最低气温变化比日平均气温变化幅度更加剧烈。     

中国近46年来冬半年日降水变化特征分析

中国总体冬半年降水总量、日降水强度以及强降水日数都有不同程度的增加趋势。西北地区的变化相对显著,其平均降水量、降水日数及日降水强度都呈增加趋势,特别是20世纪80年代后期发生跃变。华北和中部地区降水总量趋于减少。南方3区多为增加趋势,其中东南和华南与冬季风及欧亚遥相关型有显著的负相关关系,而西南地区日降水参数则与温度和北极涛动指数显著相关。东北地区降水指标没有明显的一致趋势。     

Water temperature modelling: comparison between the generalized additive model,logistic, residuals regression and linear regression models

Water temperature has a significant influence on aquatic organisms, including stenotherm fish such as salmonids. It is thus of prime importance to build reliable tools to forecast water temperature. This study evaluated a statistical scheme to model average water temperature based on daily average air temperature and average discharge at the Sainte-Marguerite River, Northern Canada. The aim was to test a non-parametric water temperature generalized additive model (GAM) and to compare its performance to three previously developed approaches: the logistic, residuals regression and linear regression models. Due to its flexibility, the GAM was able to capture some of the nonlinear response between water temperature and the two explanatory variables (air temperature and flow). The shape of these effects was determined by the trends shown in the collected data. The four models were evaluated annually using a cross-validation technique. Three comparison criteria were calculated: the root mean square error (RMSE), the bias error and the Nash-Sutcliffe coefficient of efficiency (NSC). The goodness of fit of the four models was also compared graphically. The GAM was the best among the four models (RMSE = 1.44°C, bias = ?0.04 and NSC = 0.94).     

武汉市日供水量与气象要素的相关分析

利用武汉市逐日供水量资料与温度、降水、日照等气象要素进行同步相关分析,选取相关性较高的气温作为预报因子,建立了日供水量的简易预测模型。