人工增雨（雪）效果评估方法探索

人工增雨（雪）常用的评估方法为统计检验和物理检验,统计检验需要大量试验样本,且随机化试验在我国难以实现,大量样本无从获得。物理检验目前主要是雷达观测演变状况和飞机直接观测云内微物理参数,由于技术和能力有限,这些方法都难以实现。为了在人工影响天气作业后尽快得出评估结果供政府及环境保护等部门参考,利用雨滴谱记录数据对一次人工增雪作业后的效果进行了评估,发现这些数据在没有常规降雪记录情况下具有一定的参考价值。从评估结果看,人工增雪作业后,降水强度有明显增大的趋势。     

气象因素对大连空气中PM_(2.5)的去除效应分析

根据2013年1月1日至2月15日大连市环境监测中心PM2.5监测数据和大连市气象局风向、风速、降水量等资料,研究了降雪、降雨、风等气象因素对大气中PM2.5的去除效应。结果表明,大连市冬季采暖期PM2.5污染较重,PM2.5浓度受气象因素影响较明显。降雪、降雨、风三种气象因素对大气中PM2.5均有明显的去除效果,因去除机理不同,各气象因素对PM2.5的去除能力大小依次为风、降雨、降雪,去除效率分别为61.6%、46.0%、34.5%。     

气候异常缘于何?

前段时间,北半球多个国家和地区在创纪录的低温和雨雪天气中迎接新年的到来。一场暴风雪给美国东北部佛蒙特州带来83厘米降雪,打破了1969年创下的76厘米的降雪纪录。在欧洲,英国经历了自1981年以来时间最长的一次寒潮。地处南欧的西班牙也发出了低温警报。亚洲各国和地区也感同身受。韩国下了自1937年有记录以来积雪最厚的一次大规模降雪。北京也连续降雪,气温达到40年来最低。位于南亚的印度和孟加拉国也受到寒潮袭击。寒冷的天气与公众心目中对"气候变暖"的印象形成了极大的反差,有关气候变冷的说法因此受到了关注。到底气候异常是为何?     

用配合饲料饲喂乌梢蛇的试验研究

试验选用的乌梢蛇均为亚成蛇，平均体重291．79g。试验分2组进行，试验期45d。对照组用活饵投喂，处理组全程均用配合饲料人工填喂。活饵为泽蛙，人工饵料用鱼肉、明胶、添加剂等配成（粒度规格1—1．5cm^3）。各组饲养条件相同，试验结束时逐组逐个测量体重、体长、尾长，并计算存活率。试验结果表明，人工饵料组的增重、体长、尾长好于对照组，但人工饵料组的存活率低于对照组。     

空调室外机高耐候喷涂内外场对比试验研究

对空调室外钣金喷涂采用普通聚酯和高交联聚酯两种粉末配方,分别在内场进行紫外光人工加速老化试验和外场海南三亚进行自然暴晒试验,通过对比两种配方粉末试验样板在内外场试验后失光率、色差、粉化级别的变化,研究不同配方粉末的耐候性能以及人工加速老化试验和三亚自然暴晒试验的相关性。试验结果表明,高交联聚酯配方的粉末较普通聚酯粉末具备更优异的耐候性能,内场紫外光人工加速老化试验与外场三亚自然暴晒试验在失光率、色差变化趋势上存在类似分布规律,通过拟合非线性回归方程建立量化关联关系。     

材料和产品大气暴露与人工加速试验相关性的探讨意见(下)

应用人工加速气候与自然或实际大气暴露试验的实例,说明了研究两者相关性的可能性和实际应用意见,并概述高分子材料进行人工加速和湿热自然大气暴露的对比结果,分析探求人工加速气候与自然或实际大气暴露试验两者相关性的主要因素。     

材料和产品大气暴露与人工加速试验相关性的探讨意见(上)

应用人工加速气候与自然或实际大气暴露试验的实例,说明研究两者相关性的可能性和实际应用意义,并概述高分子材料进行人工加速和湿热自然大气暴露的对比结果,分析探求人工加速气候与自然或实际大气暴露试验两者相关性的主要因素。     

中华人民共和国国家标准电工电子产品基本环境试验规程总则

本标准列出了一系列的环境试验方法及严酷程度,用来评定电工电子产品在预期的使用条件下的工作能力.“环境试验”是将产品或材料暴露到自然或人工环境中,从而对它们在实际上可能遇到的贮存、运输和使用条件下的性能作出评价.《电工电子产品基本环境试验规程》国家标准系列包括总则、名词术语、试验方法和试验导则四部分.本标准规定的试验方法为人工环境的试验方法.     

应对雪灾,各国各有高招

正近些年,每到冬季雪灾都会袭击许多国家。长时间的大量降雪造成房顶、道路大范围积雪从而严重影响甚至破坏交通、通讯、输电线路等生命线工程,对当地人们的生产、生活影响巨大。也正因为如此,如何应对雪灾并减少灾害带来的损失已经成为各国面临的共同挑战。目前,一些多雪国家在应对雪灾方面已经有了较为成熟的经验,随着冬季的来临,一场场降雪强度和人们应急能力的大比拼又将陆续上演了。美国:拼预警美国是一个典型的多雪国家。为有效应对雪灾,     

ASTM D 5894-05《涂漆金属盐雾／紫外线循环暴露标准规程，（交替暴露于喷雾／干燥室和紫外线／冷凝室）》标准解读

介绍了ASTM D 5894—05，分别从标准的适用范围及用途、试验设备、试验样品、试验程序、暴露持续时间和报告等方面对标准进行解读，认为今后的盐雾试验发展方向应向人工试验和自然环境相关性方向发展。     

ESTIMATING REGIONAL SNOW WATER EQUIVALENT WITH A SIMPLE SIMULATION MODEL1

A simple simulation model designed to monitor snow-packs of the central Sierra Nevada is described. The model estimates average snow water equivalent for rectangular subregions in the area. Static subregion characteristics, daily precipitation and mean and minimum air temperatures measured at three index stations are the only needed input values. A water balance technique simulates daily snowpack changes in each subregion. Reasonable basinwide water equivalent values are produced. The procedure should be useful for estimating snow water distribution in large mountainous watersheds.     

Effect of Snow Cover Conditions on the Hydrologic Regime: Case Study in a Pluvial‐Nival Watershed,Japan1

Abstract: Hydrologic monitoring in a small forested and mountainous headwater basin in Niigata Prefecture has been undertaken since 2000. An important characteristic of the basin is that the hydrologic regime contains pluvial elements year‐round, including rain‐on‐snow, in addition to spring snowmelt. We evaluated the effect of different snow cover conditions on the hydrologic regime by analyzing observed data in conjunction with model simulations of the snowpack. A degree‐day snow model is presented and applied to the study basin to enable estimation of the basin average snow water equivalent using air temperature at three representative elevations. Analysis of hydrological time series data and master recession curves showed that flow during the snowmelt season was generated by a combination of ground water flow having a recession constant of 0.018/day and diurnal melt water flow having a recession constant of 0.015/hour. Daily flows during the winter/snowmelt season showed greater persistence than daily flows during the warm season. The seasonal water balance indicated that the ratio of runoff to precipitation during the cold season (December to May) was about 90% every year. Seasonal snowpack plays an important role in defining the hydrologic regime, with winter precipitation and snowmelt runoff contributing about 65% of the annual runoff. The timing of the snowmelt season, indicated by the date of occurrence of the first significant snowmelt event, was correlated with the occurrence of low flow events. Model simulations showed that basin average snow water equivalent reached a peak around mid‐February to mid‐March, although further validation of the model is required at high elevation sites.     

USE OF TIME-LAPSE PHOTOGRAPHY TO ASSESS POTENTIAL INTERCEPTION IN ARIZONA PONDEROSA PINE1

ABSTRACT: The behavior of intercepted snow on a stand of uneven-aged ponderosa pine in east-central Arizona was evaluated with the use of a super 8-mm time lapse movie camera to determine the relative significance of snowfall interception in the water yield of this type forest. A snow load index was developed to estimate interception storage for two trees in the field of view for discrete time periods. The snow load index. photographs, and climatic data were combined to describe accumulation and to identify and rank according to relative magnitudes the basic processes of canopy snow removal. The rate of snow accumulation was nonlinear with initial storage being rapid. then slowing with time. Most of the intercepted snow eventually reached the snowpack on the ground by snowslide and wind erosion or by snowmelt and subsequent stemflow and drippmg of meltwater, and was therefore not considered a significant loss to the water budget on site. Some water apparently was disposed of by the evaporation of meltwater and sublimation of canopy snow, but these losses appeared to be comparatively minor.     

Application of Satellite Microwave Images in Estimating Snow Water Equivalent1

Abstract: Flood forecast and water resource management requires reliable estimates of snow pack properties [snow depth and snow water equivalent (SWE)]. This study focuses on application of satellite microwave images to estimate the spatial distribution of snow depth and SWE over the Great Lakes area. To estimate SWE, we have proposed the algorithm which uses microwave brightness temperatures (Tb) measured by the Special Sensor Microwave Imager (SSM/I) radiometer along with information on the Normalized Difference Vegetation Index (NDVI). The algorithm was developed and tested over 19 test sites characterized by different seasonal average snow depth and land cover type. Three spectral signatures derived from SSM/I data, namely T19V‐T37V (GTV), T19H‐T37H (GTH), and T22V‐T85V (SSI), were examined for correlation with the snow depth and SWE. To avoid melting snow conditions, we have used observations taken only during the period from December 1‐February 28. It was found that GTH, and GTV exhibit similar correlation with the snow depth/SWE and are most should be used over deep snowpack. In the same time, SSI is more sensitive to snow depth variations over a shallow snow pack. To account for the effect of dense forests on the scattering signal of snow we established the slope of the regression line between GTV and the snow depth as a function of NDVI. The accuracy of the new technique was evaluated through its comparison with ground‐based measurements and with results of SWE analysis prepared by the National Operational Hydrological Remote Sensing Center (NOHRSC) of the National Weather Service. The proposed algorithm was found to be superior to previously developed global microwave SWE retrieval techniques.     

TIDAL POWER GENERATION UTILIZING ATMOSPHERIC PRESSURE OR AIR RECIRCULATION1

ABSTRACT: This paper presents research conducted on tidal power generation utilizig atmospheric pressure or air recirculation. The proposed methods in this paper differ from conventional methods. That is, they require simple and relatively inexpensive power generating facilities that would convert the potential energy of the tides into kine tic energy of air for driving the air turbines in a power plant. The characteristics of the new methods are as follows: (1) in tidal power generation utilizing the atmospheric pressure, the air pressure exerted on an air turbine can be maintained at 1 atm regardless of the water head; (2) in tidal power generation utilizing the air recirculation, the air pressure exerted on an air turbine can be made twice as high as the available water head; (3) higher tidal energy conversion efficiency can be obtained by flowing larger quantities of water in a shorter time period; (4) the generating turbines can be located at a convenient place remote from the reservoir; and (5) equipment corrosion due to salt is minimized.     

A COMPARISON OF PHOSPHORUS AND WATER CONTRIBUTIONS BY SNOWFALL AND RAIN IN NORTHEAST OHIO1

ABSTRACT A record snowfall of 55.8 centimeters occurred on December 1 and 2, 1974 in Portage County, Ohio. An early winter thaw melted the greater part of the snow by December 22, 1974, and a two-day rain fell from December 23 to December 25. These weather events provided an opportunity to compare snowmelt and rainfall contribution to runoff and phosphorus loading to the Twin Lakes Watershed. Phosphorus concentrations of the snow and rain were determined. Six lake inflows and two lake outflows were measured daily for volume and phosphorus concentration. The snow added 217,000 cubic meters of water and 2.2 kilograms of total phosphorus to the watershed. The rain added 74,000 cubic meters of water and 1.6 kilograms of total phosphorus. Total water discharge from the watershed during December was 244,537 cubic meters and total phosphorus output was 20.3 kilograms. The snow provided 49.9% of the discharge and 8% of the phosphorus whereas the rainfall contributed 28% of the discharge and 6% of the phosphorus. These results indicate that while snow is a significant source of water, it is not a large source of phosphorus. The greatest contribution of phosphorus comes from fine sediment carried by storm runoff.     

A COMPARISON OF GEOSTATISTICAL METHODOLOGIES USED TO ESTIMATE SNOW WATER EQUIVALENT1

ABSTRACT: The need to monitor and forecast water resources accurately, particularly in the western United States, is becoming increasingly critical as the demand for water continues to escalate. Consequently, the National Weather Service (NWS) has developed a geostatistical model that is used to obtain areal estimates of snow water equivalent (the thtal water content in all phases of the snowpack), a major source of water in the West. The areal snow water equivalent estimates are used to update the hydrologic simulation models maintained by the NWS and designed to produce extended streamflow forecasts for river systems throughout the United States. An alternative geostatistical technique has been proposed to estimate snow water equivalent. In this research, we describe the two methodologies and compare the accuracy of the estimates produced by each technique. We illustrate their application and compare their estimation accuracy using snow data collected in the North Fork Clearwater River basin in Idaho.     

EVALUATION OF PRACTICES IN WATER SUPPLY FORECASTING1

ABSTRACT: Snowmelt runoff is a primary source of water supply in much of the Western United States. Multipurpose planning requires long-range forecasts and the accuracy of the forecasts has a significant effect on economic benefits. In an effort to increase the accuracy of snowrnelt runoff forecasts, selected practices in water supply forecasting were evaluated. These practices include 1) using multiple regression in developing forecasting models;2) using a model that was calibrated to make forecasts an April 1 for making forecasts at other times;3) using maximum snow water equivalent measurements in forecast equations; and 4) using weighted snow water equivalent measurements for making forecasts. The results of a case study indicate that forecasting accuracy is significantly affected by these practices. Goodness-of-fit statistics may not be indicative of the accuracy of forecasts when the prediction equations are used to make forecasts for dates other than that used in calibration. The use of maximum snow water equivalentmeasurements and weighted averages did not improve forecast accuracy.     

SNOW: NATURE'S RESERVOIR1

ABSTRACT: Snow, one of Nature's greatest reservoirs, supplies most of the usable water in the Western United States. Reliable predictions of the quantity and timing of the release of this water are used in making management decisions involving irrigation, stock water and municipal water supplies, hydro-power generation, recreation, navigation, and pollution control Practically oriented research is vital for the proper development and management of this resource. In southwestern Idaho, the Northwest Watershed Research Center, ARS, USDA, is conducting intensive investigations for assessing snow Volumes, snow water content, and snow-melt over a watershed. Application of these research findings will result in better development and management of the water stored as snow in Nature's reservoir.     

OPERATIONAL APPLICATIONS OF SATELLITE SNOW COVER OBSERVATIONS1

ABSTRACT: Several federal and state water resources agencies and NASA have recently completed an Applications Systems Verification and Transfer (ASVT) project on the operational applications of satellite snow cover observations. When satellite snow cover data were tested in both empirical seasonal runoff estimation and short term modeling approaches, a definite potential for reducing forecast error was evident. Three years of testing in California resulted in reduction of seasonal stream flow forecast error was evident. Three years of testing in California resulted in reduction of seasonal stream flow forecast error from 15 percent to 10 percent on three study basins; and modeling studies on the Boise River basin in Idaho indicated that satellite snow cover could be used to reduce short term forecast error by up to 9.6 percent (5 day forecast). Potential benefits from improved satellite snow cover based predictions across the 11 western states total 10 million dollars for hydropower and 28 million dollars for irrigation annually. The truly operational application of the new technology in the West, however, will only be possible when the turnaround time for all data is reduced to 72 hours, and the water management agencies can be assured of a continuing supply of operational snow cover data from space.