单季晚稻穗颈瘟气象预报集成模型

根据1985—1998年上海地区单季晚稻穗颈瘟发生程度资料、地面气象资料、500hPa高空环流因子和北太平洋海温场资料，挑选相关系数较高且稳定性好的预报因子，在应用逐步回归和逐步判别分析方法组建预报模型的基础上，集成了单季晚稻穗颈瘟发生程度的长、中、短期预报模型。3种预报集成模型的起报时间分别为当年的3月、7月和8月下旬。这3种预报集成模型对1985-1998年的历史拟合和1999—2002年的预报，误差均未超过1级。     

气象因素对泉州臭氧的影响

利用泉州城区2017年全年连续观测的O_3和气象要素资料,统计了臭氧浓度的分布特征,分析了气象要素对O_3质量浓度的影响,对比了O_3超标日和非超标日的气象要素特征。结果表明:(1)泉州市O_3质量浓度月变化呈双峰形,春季最高,夏季最低;日变化呈单峰形,最大值出现在13:00—14:00,最小值出现在06:00—07:00,上下游站O_3浓度存在明显传输效应。(2)泉州O_3质量浓度与相对湿度呈负相关,其相关性最高;与风速呈正相关,其相关系数最低,且存在明显区位性差异;与气温的相关性比较复杂,既有正相关,也有负相关。(3)各站点O_3小时质量浓度超标时,均对应2个气象要素区间值。(4)对比污染日非污染日发现,污染日相对湿度较低(50%～60%),非污染日较高(70%～80%);污染日温度略低于非污染日;污染日风向总体为西南偏南,非污染日风向为西南-东南。     

Assessment of seasonal variations of carbon dioxide concentration in Iran using GOSAT data

Global warming and climate change have been identified as the most important challenges of the 21st century. Greenhouse Gases Observation Satellite (GOSAT) measures the concentrations of carbon dioxide (CO ₂) and methane (CH ₄) in the atmosphere column from the earth's surface to the upper atmosphere. In this research, GOSAT Thermal And Near Infrared Sensor for Carbon Observation – Fourier Transform Spectrometer (TANSO‐FTS) level 2 data and meteorological parameters were used in the assessment of changes in CO ₂ concentration (XCO ₂) from 2009 to 2015. We investigated the relationship between XCO ₂ and meteorological parameters (temperature and precipitation) obtained from weather stations and the Normalized Difference Vegetation Index (NDVI) in the year 2013 in Iran. The results reveal a steady increase in the mean atmospheric CO ₂ concentration, from 384.89 to 400.39 ppm. It was observed that the XCO ₂ varied significantly depending on the month, with the highest concentration of CO ₂ in April/May and the lowest concentration in August/September. The correlation between XCO ₂ and average monthly air temperature is negative, which means that a reduction in XCO ₂ with an increase in temperature is dependent on photosynthetic activities in the growing seasons. The highest and lowest correlation coefficient between the NDVI and XCO ₂ was obtained in the spring and in the fall, respectively. These findings are useful for recognizing factors that affect CO ₂ concentration in different seasons in arid and semi‐arid regions, and as an initial step toward sustainable management.     

Achieving sustainability goals for urban coasts in the US Northeast: research needs and challenges

In the wake of Hurricane Sandy and other recent extreme events, urban coastal communities in the northeast region of the United States are beginning or stepping up efforts to integrate climate adaptation and resilience into long-term coastal planning. Natural and nature-based shoreline strategies have emerged as essential components of coastal resilience and are frequently cited by practitioners, scientists, and the public for the wide range of ecosystem services they can provide. However, there is limited quantitative information associating particular urban shoreline design strategies with specific levels of ecosystem service provision, and research on this issue is not always aligned with decision context and decision-maker needs. Engagement between the research community, local government officials and sustainability practitioners, and the non-profit and private sectors can help bridge these gaps. A workshop to bring together these groups discussed research gaps and challenges in integrating ecosystem services into urban sustainability planning in the urban northeast corridor. Many themes surfaced repeatedly throughout workshop deliberations, including the challenges associated with ecosystem service valuation, the transferability of research and case studies within and outside the region, and the opportunity for urban coastal areas to be a focal point for education and outreach efforts related to ecosystem services.     

Norwegian Meteorological Institute’s real-time dispersion model snap (Severe Nuclear Accident Program): Runs for ETEX and ATMES II experiments with different meteorological input

The Norwegian Meteorological Institute (DNMI) has developed and implemented for operational use a real-time dispersion model Severe Nuclear Accident Program (SNAP) with capability for predicting concentrations and depositions of the radioactive debris from large accidental releases. SNAP has been closely linked to DNMI’s operational numerical weather prediction (NWP) models.How good are these predictions? Participation in ETEX has partly answered this question. DNMI used SNAP with LAM50S giving meteorological input for these real-time dispersion calculations. LAM50S Limited Area Model with 50 km grid squareswas DNMI’s operational NWP model in 1994 when ETEX took place.In this article we report on how SNAP performed in the first of the ETEX releases in near-real-time mode, using LAM50S—and in hindcast mode for ATMES II, using “ECMWF 1995: ETEX Data set (ATMES II)”as meteorological input data. These two input data sets came from NWP models with quite different characteristics but with similar resolution in time and space.The results from these dispersion simulations matched closely. Deviations early in the simulation period shrank to insignificant differences later on. Since both input data sets were based on “weather analysis” and had similar resolution in space and time, SNAP described the dispersion of the released material very similar in these two simulations.     

某抽水蓄能电站工程区断裂断层泥研究

通过断裂断层泥的粒度成分分析、粒度分形和石英颗粒形貌(SEM)特征观测等方法来分析与评价某抽水蓄能电站工程区断裂活动性,从而得出工程的稳定性。这一研究对大型地下工程场区稳定性综合论证及对地下硐室合理选址、设计以及确保工程安全等具有重要的应用价值。     

A Comparison of Statistical Approaches for Predicting Stream Temperatures Across Heterogeneous Landscapes1

Abstract: Estimating stream temperatures across broad spatial extents is important for regional conservation of running waters. Although statistical models can be useful in this endeavor, little information exists to aid in the selection of a particular statistical approach. Our objective was to compare the accuracy of ordinary least‐squares multiple linear regression, generalized additive modeling, ordinary kriging, and linear mixed modeling (LMM) using July mean stream temperatures in Michigan and Wisconsin. Although LMM using low‐rank thin‐plate smoothing splines to measure the spatial autocorrelation in stream temperatures was the most accurate modeling approach; overall, there were only slight differences in prediction accuracy among the evaluated approaches. This suggests that managers and researchers can select a stream temperature modeling approach that meets their level of expertise without sacrificing substantial amounts of prediction accuracy. The most accurate models for Michigan and Wisconsin had root mean square errors of 2.0‐2.3°C, suggesting that only relatively coarse predictions can be produced from landscape‐based statistical models at regional scales. Explaining substantially more variability in stream temperatures likely will require the collection of finer‐scale hydrologic and physiographic data, which may be cost prohibitive for monitoring and assessing stream temperatures at regional scales.     

安徽地区近45年蒸发皿蒸发量变化特征及影响因素初探

利用线性倾向性估计和Mann Kendal检验方法,研究了过去的45年（1963~2007年）安徽地区32个代表站 20 cm 口径蒸发皿蒸发量的变化特征。结果表明：（1）安徽地区蒸发皿蒸发量呈现明显下降趋势（-65.3 mm/10 a,信度001）,年蒸发总量在1976年发生突变,1982年显著减少,夏季突变最为明显;（2）32个代表台站中24个台站蒸发皿蒸发量表现为显著下降趋势,仅1个表现为上升趋势（信度005）,在空间上减少趋势基本呈现“北多南少”的态势。结合其它气候要素研究发现：气温显著升高,蒸发量明显减少,即安徽地区存在“蒸发悖论”规律,但气温与蒸发量之间相关性不明显;日照,日较差和风速存在显著减少趋势,相关性〖JP+1〗分析表明它们是影响蒸发皿蒸发量减少的最重要因子;低云量,降水量和相对湿度等要素本身没有明显变化趋势但对蒸发皿蒸发量的减少作用也不可忽视。     

非电力驱动多用途系列喷射式吸风器研制与应用

给出喷射式吸风器的结构及其工作原理;介绍了喷射器的性能与特点;笔者运用喷射器在大型化肥塔类设备内外施焊、等离子切割、球罐喷砂、箱式电炉模壳焙烧及马达线圈高温浸漆等10个不同施工场所进行了实际应用和验证,结果表明,该系列吸风器通风换气或排烟、排尘、排毒等性能安全可靠,且使用效果良好;同时,进一步研讨了改进和完善喷射式吸风器的有关技术问题。