混凝土结构使役环境中温度智能模拟LabVIEW软件设计

本项目结合湖北省科技计划自然科学基金项目“混凝土结构使役环境的智能模拟”,在WTST-150试验机硬件平台基础上,以LabVIEW8．5为开发平台,设计了一套混凝土结构使役环境中温度智能模拟LabVIEW软件,主要包括能初始化程序、温度采集与显示子程序、温度PID控制子程序、温度存储和查询子程序。经投入实验验证,该软件能实现实时曲线显示、温度控制、试验状态和保存试验数据、数据查询、手动加热、分配温度通道、PID控制参数整定、制冷、读入温度曲线等功能。具有实时在线循环检测、采集数据、响应快速等优点,并具有良好的故障诊断能力和可维护性以及超强的纠错能力。本软件完善了WTST-150试验机的温度控制系统,使其更加符合实际工况。     

温度环境试验及其标准综述(一)温度对装备的影响及温度试验的重要性

阐述了温度试验在军工产品研制生产中的重要地位和用途,温度环境对装备的主要影响和典型故障模式;介绍了GJB 150/150A、HB 6167/6167A、GB/T 2423等我国主要军用、民用环境试验系列标准中包括的各种典型温度试验程序及其用途和模拟的环境;说明了各种典型试验程序规定或要求的温度试验各种特点和剪裁方法,并汇总列于一个表格中,以便于查阅,列出了温度试验标准中对温度试验箱和测试仪器仪表的要求,最后讨论了受试产品温度稳定、温度试验箱的选用,确保受试产品经受正确的温度条件、受试产品温度响应测量和温度试验中断处理等技术。本文分为四大部分:第一部分阐述温度对装备的影响、故障机理和温度试验的重要性;第二部分阐述了GJB150/150A、HB 6167/6167A和GB/T 2423等主要环境试验标准中的典型温度试验程序;第三部分详细说明了各种温度试验的试验温度和试验持续时间及其区别和剪裁方法;第四部分介绍了各种标准对温度试验设备的要求,温度试验设定点,确保试验温度准确施加和试验中断处理等温度试验技术。本文为其中第一部分。     

Effect of Climate Warming and Drought on Urban Stream Temperatures in a Semiarid,Seasonal System

Stream temperatures are key indicators for aquatic ecosystem health, and are of particular concern in highly seasonal, water‐limited regions such as California that provide sensitive habitat for cold‐water species. Yet in many of these critical regions, the combined impacts of a warmer climate and urbanization on stream temperatures have not been systematically studied. We examined recent changes in air temperature and precipitation, including during the recent extreme drought, and compared the stream temperature responses of urban and nonurban streams under four climatic conditions and the 2008–2018 period. Metrics included changes in the magnitude and timing of stream temperatures, and the frequency of exceedance of ecologically relevant thresholds. Our results showed that minimum and average daily air temperatures in the region have increased by >1°C over the past 20 years, warming both urban and nonurban streams. Stream temperatures under drought warmed most (1°C–2°C) in late spring and early fall, effectively lengthening the summer warm season. The frequency of occurrence of periods of elevated stream temperatures was greater during warm climate conditions for both urban and nonurban streams, but urban streams experienced extreme conditions 1.5–2 times as often as nonurban streams. Our findings underscore that systematically monitoring and managing urban stream temperatures under climate change and drought is critically needed for seasonal, water‐limited urban systems.     

AIR-WATER TEMPERATURE RELATIONSHIP IN ILLINOIS RIVER1

Application of harmonic analysis to daily mean air, water temperature records for a location indicates that the first harmonic accounts for a major portion of the total variance in the records. Water temperature residuals are well correlated with air temperature residuals. Parametric values of the mathematical model for predicting water temperatures from air temperature records are stable from year to year. The air-water temperature relationship appears to be a stationary linear process. Consequently, it is possible to predict water temperatures at a location from the ambient temperature records provided both air and water temperature records are available for another similarly situated water body.     

COMPARISON OF THERMAL SCANNING AND IN SITU TECHNIQUES FOR MONITORING THERMAL DISCHARGES1

ABSTRACT: In situ and remote sensing techniques for measuring thermal plumes are compared for data taken at the Point Beach Nuclear Power Plant on Lake Michigan for five separate occasions. The in situ method employed a boat whose position was determined with a microwave ranging system. Temperatures at the surface and at various depths were measured with fast response thermistor probes. The remote sensing technique utilized an infrared scanner in the 8 to 14 micron range. Comparison of the plumes indicates good agreement with respect to plume configurations, areas within isotherms and centerline temperature decays for all except one occasion, a calm day characterized by no waves, low wind and ambient current velocities. Robable reasons for disagreement under such ambient conditions are discussed. The inherent advantages and disadvantages of each method are discussed in light of the results of the five sets of data. This includes both the data collecting and data analyzing procedures. It is concluded that judicious combination of both methods offers a better picture of thermal plumes than can be obtained by either technique alone.     

文思湖底泥COD释放规律模拟研究

采用室内模拟实验方法,研究环境因子（温度、pH、扰动强度、供气量）对底泥释放COD的影响。结果表明,水温升高能加速底泥中有机质的释放;上覆水在弱酸至中性条件下底泥释放有机质最低;扰动上覆水体会加快有机质的释放。     

平衡调温调湿方式中变流量冷冻水系统设计

通过对变流量冷冻水系统的分析指出，在运用平衡调温调湿方式的空调系统中，应用变流量冷冻水系统可以较大地节约能源和投资；并提出了实现这种应用的方法。     

城镇污水处理厂NPR工艺低温运行的效能分析

介绍了天津市某城镇污水处理厂NPR工艺的特点及运行状况。通过对污水厂的运行监测数据分析,研究了该工艺在低温条件下处理城镇生活污水时的脱氮除磷效果。结果表明:NPR工艺具有一定的优异性,它能在降低能耗的前提下使系统COD和SS的去除率进一步降低,出水能达到中水回用标准,有利于污水的再生利用;低温影响NPR系统的硝化及反硝化率,低温下有机物的去除更易受到有机负荷的影响;温度对生物去除SS,COD和TP的效果影响不大,对NH3-N及TN的去除效果影响比较明显。低温下污水处理厂COD、SS、NH3-N、TN、TP的平均去除率分别为72.1%、94.9%、67.5%、55.1%、66.5%。     

TEMPERATURE EFFECTS ON GREAT LAKES WATER BALANCE STUDIES1

ABSTRACT. Beginning of month water temperature profiles are estimated for each lake. These water temperature profiles along with surface water temperatures are used to determine the effects of thermal expansion and contraction of water on the net basin supply values obtained from water balance studies using end of month lake levels. It is demonstrated that net basin supply values (equivalent to precipitation on the lake minus the evaporation from the lake plus the runoff into the lake) obtained from water balance studies without accounting for the thermal expansion and contraction of water may be in error by as much as 100 percent during some months for each lake.     

新疆地区地温采暖技术的应用探讨

针对寒冷地区建筑物的采暖方式，介绍一种新型的区域供暖方式－－地温水源热泵（地温中央空调）供暖系统，为寻找新型供暖方式提出了环保安全、绿色节参采暖制冷新理念。     

重庆市应用湖库水水源热泵系统条件分析

通过对重庆市气候条件、湖库水水资源状况以及湖库水水温和水质分析,结果显示:重庆地区采用传统空气源热泵系统已不适宜,而采用水源热泵系统具有较高的节能优势。丰富的湖库水水资源量以及重庆市建筑沿湖库水而建特点,为在重庆市开展湖库水水源热泵系统创造便利条件;湖库水水温和水质基本能满足地表水水源热泵系统的水源要求;湖库水藻类易爆发,因此发展湖库水水源热泵主要解决的水质问题是藻类的堵塞问题。     

Novel dimensionless index for physically based assessment of thermal refugia characterizes off-channel habitat on gravel bed river

In the Willamette River, OR, main channel temperatures can be too warm for cold water fishes, causing fish to concentrate in secondary channel features that provide thermal refugia. However, temperature regimes vary among and within features. Improved understanding of physical processes controlling thermal regimes is needed. This study developed a dimensionless index for assessment of thermal refugia on the upper Willamette River. The novel hyporheic insolation (HIN) index uses minimal field measurements to predict thermal refugia resulting from buffering. Continuous water temperature measurements at one side channel, eight alcoves, and six beaver ponds provided data to ground truth calculated ${ℍ}_{\text{in}}$ predictions. Water temperature records were first used to characterize stratification at sites. Calculation of the Richardson number, an index of stability, showed two well-mixed sites and 13 stratified sites. At stratified sites, calculated ${ℍ}_{\text{in}}$ values characterized the ratio of cooling flux from hyporheic discharge to heat flux from incoming solar radiation. As ${ℍ}_{\text{in}}$ increased, measured temperatures at sites decreased. Despite overall scatter, a logarithmic fit to bin-averaged ${ℍ}_{\text{in}}$ values showed R² = 0.91. Calculations suggest that secondary channel features characterized by stratification and cool hyporheic discharge can provide thermal refugia. Accordingly, the HIN index may serve as a practical tool grounded in physical processes governing temperature across a floodplain.     

TEMPERATURE BEHAVIOR OF THE BLUESPOTTED SUNFISH ENNEACANTHUS GLORIOSUS (HOLBROOK), WITH AN EVALUATION OF THE INTERPRETATION OF THERMAL BEHAVIOR DATA1

The bluespotted sunfish, Enneacanthus gloriosus (Holbrook), had a final temperature preferendum of 31.5 C. Fish acclimated to 30 C avoided 36 C. The analysis of acute temperature preference data and the relationship between final temperature preferendum and upper avoidance temperatures are discussed.     

抗高温环保钻井液体系研究

文章选择清洁环保的钻井液处理剂进行抗高温钻井液体系实验研究与评价,对包被增粘剂、降失水剂等进行优选,对抗高温环保钻井液配方进行评价,研究出无毒、无害,抗温能力强、流变性好,失水较低的钻井液体系,现场应用满足高温深井的钻井生产要求。     

Identifying stream temperature variation by coupling meteorological,hydrological, and water temperature models

In this study, we demonstrate a physically based semi-Lagrangian water temperature model known as the River Basin Model (RBM) coupled with the Variable Infiltration Capacity (VIC) hydrological model and Weather Research & Forecasting Model in the Mississippi River Basin (MRB). The results of this coupling compare favorably with observed water temperature data available from six river gages located in the MRB. Further sensitivity analysis indicates that the mean water temperatures may increase by 1.3, 1.5, and 1.8°C in northern, central, and southern MRB zones under a hypothetical uniform air temperature increase of 3.0°C. If air temperatures increase uniformly by 6.0°C in this scenario, then water temperatures are projected to increase by 3.3, 3.5, and 4.0°C. Lastly, downscaled air temperatures from a global climate model are used to drive the coupled VIC and RBM model from 2020 to 2099. Average stream temperatures from 2020 to 2099 increase by 1.0 to 8.0°C above 1950 to 2010 average water temperatures, with non-uniform increases along the river. In some portions of the MRB, stream temperatures could increase above survival thresholds for several native fish species, which are critical components of the stream ecosystem. In addition, increased water temperatures interact with nutrient loadings from sources throughout the MRB, which is expected to exacerbate harmful algal blooms and dead zones in the Gulf of Mexico.     

COMPARISON OF METHODS TO ESTIMATE DEEP PERCOLATION RATES1

ABSTRACT: Deep percolation rates are normally estimated from a water balance. Results are presented of a study undertaken to evaluate three alternative methods of estimating percolation below the root zone when knowledge about the history of applied water and evapotranspiration are not available. The alternative methods are: 1) use of Darcy's equation to calculate deep percolation rate; 2) measurement of the soil temperature prof and calculation of the deep percolation rate from the shape of the temperature depth curve; and 3) measurement of the tritium concentration in the soil water and its relationship to the history of the tritium concentration in rainfall. At the principal study site, the Darcy velocity of flow ranged from 9 cm per year determined by the temperature method, to 40 cm per year determined by the tritium method. Darcy's equation to calculate seepage rates resulted in an estimation of deep seepage of 18 cm per year. An average deep percolation rate at the principal study site of 22 cm per year was determined using the average of all three methods. Results for other sites based on the temperature method indicated a lower seepage rate.     

浅水型湖泊水温日成层现象的初步探讨——以太湖为例

水温是湖泊环境研究中的重要物理参数之一。本文以典型浅水型湖泊———太湖为研究对象,根据连续定点监测资料,分析了太湖的水温结构及其影响因素,证明了日成层现象的存在,并从物理、化学和生物学角度论述了水温分层现象对湖泊水质的影响。     

Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

Deep learning (DL) models are increasingly used to make accurate hindcasts of management-relevant variables, but they are less commonly used in forecasting applications. Data assimilation (DA) can be used for forecasts to leverage real-time observations, where the difference between model predictions and observations today is used to adjust the model to make better predictions tomorrow. In this use case, we developed a process-guided DL and DA approach to make 7-day probabilistic forecasts of daily maximum water temperature in the Delaware River Basin in support of water management decisions. Our modeling system produced forecasts of daily maximum water temperature with an average root mean squared error (RMSE) from 1.1 to 1.4°C for 1-day-ahead and 1.4 to 1.9°C for 7-day-ahead forecasts across all sites. The DA algorithm marginally improved forecast performance when compared with forecasts produced using the process-guided DL model alone (0%–14% lower RMSE with the DA algorithm). Across all sites and lead times, 65%–82% of observations were within 90% forecast confidence intervals, which allowed managers to anticipate probability of exceedances of ecologically relevant thresholds and aid in decisions about releasing reservoir water downstream. The flexibility of DL models shows promise for forecasting other important environmental variables and aid in decision-making.     

Summer Temperature Patterns in Headwater Streams of the Oregon Coast Range1

Abstract: Cool summertime stream temperature is an important component of high quality aquatic habitat in Oregon coastal streams. Within the Oregon Coast Range, small headwater streams make up a majority of the stream network; yet, little information is available on temperature patterns and the longitudinal variability for these streams. In this paper we describe preharvest spatial and temporal patterns in summer stream temperature for small streams of the Oregon Coast Range in forests managed for timber production. We also explore relationships between stream and riparian attributes and observed stream temperature conditions and patterns. Summer stream temperature, channel, and riparian data were collected on 36 headwater streams in 2002, 2003, and 2004. Mean stream temperatures were consistent among summers and generally warmed in a downstream direction. However, longitudinal trends in maximum temperatures were more variable. At the reach scale of 0.5‐1.7 km, maximum temperatures increased in 17 streams, decreased in seven streams and did not change in three reaches. At the subreach scale (0.1‐1.5 km), maximum temperatures increased in 28 subreaches, decreased in 14, and did not change in 12 subreaches. Models of increasing temperature in a downstream direction may oversimplify fine‐scale patterns in small streams. Stream and riparian attributes that correlated with observed temperature patterns included cover, channel substrate, channel gradient, instream wood jam volume, riparian stand density, and geology type. Longitudinal patterns of stream temperature are an important consideration for background characterization of water quality. Studies attempting to evaluate stream temperature response to timber harvest or other modifications should quantify variability in longitudinal patterns of stream temperature prior to logging.