The Effects of Thickness and Location of PCMon the Building’s Passive Temperature-Control–A Numerical Study

Building energy consumption and building carbon emissions both account for more than 20%of their total national values in China.Building employing phase change material(PCM)for passive temperature control shows a promising prospect in meeting the comfort demand and reducing energy consumption simultaneously.However,there is a lack of more detailed research on the interaction between the location and thickness of PCM and indoor natural convection,as well as indoor temperature distribution.In this study,the numerical model of a passive temperature-controlled building integrating the developed PCM module is established with the help of ANSYS.In which,the actual weather condition of Beijing city is set as the boundary conditions and the indoor natural convection is simulated with the consideration of radiation model.The effects of PCM’s thickness and location on the internal temperature field are analyzed and discussed.The results show that the room could maintain within the human comfort temperature range with the longest ratio of 94.10%and the shortest ratio of 51.04%as integrating PCM.In comparison,the value is only 26.70%without PCM.The room’s maximum temperature fluctuation can also be improved;it could be lowered by 64.4%compared to the normal condition.When the quantity of PCM is sufficient,further increasing the PCM amount results in a temperature fluctuation reduction of less than 0.1°C and does not increase the comfort time.Placing PCM on the wall induces an apparent variation in indoor temperature along the vertical direction.Conversely,placing PCM on the roof can lead to a heat transfer rate difference of up to seven times.The optimal placement of PCM depends on the difference between the environmental and phase change temperatures.If the difference is positive,placing PCM on the roof is more effective;conversely,the opposite holds.According to the results over the entire cycle,PCM application on vertical walls yields better performance.The significant difference in natural convection caused by the same thickness of PCM but different application positions,coupled with the influence of air movement on the melting and solidification of PCM,further impacts indoor temperature fluctuations and comfort.This study can provide guidance for the application location and thickness of PCM,especially for scenarios where temperature regulation is required at a specific time.

Feature analysis of stratospheric wind and temperature fields over the Antigua site by rocket data

The wind and temperature fields at 20 to 55 km above the Antigua launch site(17°N,61°W)were analyzed by using sounding rocket data published by the research organization on Stratosphere-Troposphere Processes and their Role in Climate(SPARC).The results showed distinct variations in the wind and temperature fields at different heights from the 1960s to the 1990s.The overall zonal wind speed showed a significant increasing trend with the year,and the overall change in meridional wind speed showed a falling trend from 1976 to 1990,whereas the temperature field showed a significant cooling trend from 1964 to 1990.The times the trends mutated varied at different levels.By taking the altitudes at 20,35,and 50 km as representatives,we found that the zonal wind speed trend had mutated in 1988,1986,and 1986,respectively;that the meridional wind speed trend had mutated in 1990,1986,and 1990,respectively;and that the temperature trend had mutated separately in 1977,1973,and 1967,respectively.Characteristics of the periodic wind and temperature field variations at different heights were also analyzed,and obvious differences were found in time scale variations across the different layers.The zonal and meridional wind fields were basically characterized as having a significant periodic variation of 5 years across the three layers,and each level was characterized as having a periodic variation of less than 5 years.Temperature field variation at the three levels was basically characterized as occurring in 10-year and 5-year cycles.

Linking moisture and near-surface wind with winter temperature to reveal the Holocene climate evolution in arid Xinjiang region of China

An increasing number of palaeo-climatic records have been reported to identify the Holocene climate history in the arid Xinjiang region of northwest China. However, few studies have fully considered the internal linkages within the regional climate system, which may limit our understanding of the forcing mechanisms of Holocene climate change in this region. Here, we systematically consider three major issues of the moisture/precipitation, temperature and near-surface wind relevant to the Holocene climate history of Xinjiang. First, despite there still has debated for the Holocene moisture evolution in this region, more climatic reconstructions from lake sediments, loess, sand-dunes and peats support a long-term regional wetting trend. Second, temperature records from ice cores, peats and stalagmites demonstrate a long-term winter warming trend during the Holocene in middle-to high-latitudes of Asia. Third, recent studies of aeolian sedimentary sequences reveal that the near-surface winds in winter gradually weakened during the Holocene, whereas the winter mid-latitude Westerlies strengthened in the Tienshan Mountains. Based on this evidence, in the arid Xinjiang region we propose an early to middle Holocene relatively cold and dry interval, with strong near-surface winds;and a warmer, wetter interval with weaker near-surface winds in the middle to late Holocene during winter. Additionally,we develop a conceptual model to explain the pattern of Holocene climate changes in this region.From the early to the late Holocene, the increasing atmospheric COcontent and winter insolation,and the shrinking of high-latitude continental ice-sheets, resulted in increasing winter temperatures in middle to high latitudes in the Northern Hemisphere. Subsequently, the increased winter temperature strengthened the winter mid-latitude Westerlies and weakened the Siberian high-pressure system,which caused an increase in winter precipitation and a decrease in near-surface wind strength. This scenario is strongly supported by evidence from geological records, climate simulation results, and modern reanalysis data. Our hypothesis highlights the important contribution of winter temperature in driving the Holocene climatic evolution of the arid Xinjiang region, and it implies that the socio-economic development and water resources security of this region will face serious challenges presented by the increasing winter temperature in the future.

Unravelling Effects of Temperature and Soil Moisture Stress Response on Development of Dry Root Rot [<i>Rhizoctonia bataticola</i>(Taub.)] Butler in Chickpea

Erratic rainfalls and rise in temperature have become more frequent under the changing scenario of climate particularly in semiarid tropics. As a consequence of it, a drastic shift of chickpea diseases have been recorded throughout the major chickpea growing regions in India and elsewhere. Dry root rot (DRR) caused by Rhizoctonia bataticola (Taub.) Butler [Pycnidial stage: Macrophomina phaseolina (Tassi) Goid] was found as a potentially emerging constraint to chickpea production than wilt (Fusarium oxysporum f. sp. ciceris). Increasing incidence of DRR indicate strong influence of climate change variables such as temperature and moisture on the development of disease. The present study therefore was conducted to quantify the role of temperature and soil moisture associated with infection, colonization and development of DRR under controlled environment. The DRR incidence was significantly affected by high temperature and soil moisture deficit. Out of five temperature regimes (15?C, 20?C, 25?C, 30?C and 35?C) and four moisture levels (40%, 60%, 80% and 100%), a combination of high temperature (35?C) and soil moisture content (60%) predisposes chickpea to DRR. The study clearly demonstrates that high temperature coupled with soil moisture deficit is the climate change variables predisposing chickpea to R. bataticola infection, colonization and development.

Monthly Changes in the Influence of the Arctic Oscillation on Surface Air Temperature over China

Partial Least Squares Regression （PLSR） is used to study monthly changes in the influence of the Arctic Oscillation （AO） on spring, summer and autumn air temperature over China with the January 500 hPa geopotential height data from 1951 to 2004 and monthly temperature data from January to November at 160 stations in China. Several AO indices have been defined with the 500-hPa geopotential data and the index defined as the first principal component of the normalized geopotential data is best to be used to study the influence of the AO on SAT （surface air temperature） in China. There are three modes through which the AO in winter influences SAT in China. The influence of the AO on SAT in China changes monthly and is stronger in spring and summer than in autumn. The main influenced regions are Northeast China and the Changjiang River drainage area.

Relationship Between Magnetic Field-Induced Entropy Change and Magnetic Field

The ingots with the composition oi LaFe13-x Six （ 1.2 〈 x 〈 2.2） were prepared by arc-melting, and subsequently homogenized by annealing for a long time. The sample was mainly composed of a single NaZn13-type phase. The dependence of magnetization on the magnetic field was measured at different temperatures for LaFe13- xSix （ 1.2 ≤ x ≤ 2.2） compound, and the entropy change （△S） was calculated using Maxwell relation. The variation of AS with H was discussed according to both the Landau second-order phase transition theory and the scaling law under mean-field approximation. The results show that the relation of △S ∝ H^2/3 is satisfied for the LaFe13-x Six compounds. The parameters obtained by the simulation of peak value of entropy change can be used to determine the degree of first-order magnetic phase transition. The present work may be useful for the research of the magnetic refrigeration.

Interaction between Soil Moisture and Air Temperature in the Mississippi River Basin

Increasing air temperatures are expected to continue in the future. The relation between soil moisture and near surface air temperature is significant for climate change and climate extremes. Evaluation of the relations between soil moisture and temperature was performed by developing a quantile regression model, a wavelet coherency model, and a Mann-Kendall correlation model from 1950 to 2010 in the Mississippi River Basin. The results indicate that first, anomaly air temperature is negatively correlated to anomaly soil moisture in the upper and lower basin, and however, the correlation between them are mixed in the middle basin. The correlation is stronger at the higher quantile (90th) of the two variables. Second, anomaly soil moisture and air temperature show strong coherency in annual frequency, indicating that the two variables are interannually correlated. Third, annual air temperature is significant negatively related to soil moisture, indicating that dry (wet) soil leads to warm (cool) weather in the basin. These results have potential application to future climate change research and water resource management. Also, the strong relationship between soil moisture and air temperature at annual scale could result in improved temperature predictability.

THE TEMPERATURE ANALYSIS OF THE BILLET WITH PHASE CHANGE DURING CONTINUOUS CASTING

In this paper,the problem of 3-D steady heat conduction including the influenceof phase change on billets is turned into the 2-D transient problem by a suitable transformation technique. The effective specific heat has been employed to substitutefor the effect of the phase ceange.The computational formulation of finite element has been presented. And the careful disposal of the phase change region has also beengiven.

Soil respiration in a natural forest and a plantation during a dry period in the Philippines

Climate change is forecast to increase the frequency of extreme hot temperatures and dryer days and is anticipated to have profound impacts on the global carbon budget.Droughts are expected to alter soil respiration(R_(s))rates,but the scarcity of data preclude a reliable estimate of this response and its future trajectory.A field experiment using an automated soil respiration machinery(LI-8100A)was conducted in a natural forest and a plantation during a dry period in the Philippines,with the goal of quantifying Rsrates and their relationship with soil temperature and moisture,and air temperature.The natural forest(5.81μmol m^(-2)s^(-1))exhibited significantly higher Rsrates(p<0.0001)compared with the plantation(1.82μmol m^(-2)s^(-1))and control(3.23μmol m^(-2)s^(-1)).Rsrates showed significant negative relationships with air(-0.71)and soil temperatures(-0.62),indicating that as temperatures increase,the R_(s)rates decrease.In contrast,the R_(s)rates exhibited a significant positive relationship with soil moisture(0.65).Although the low R_(s)rates in the plantation and high Rsrates in the natural forest are indicators of sensitivities of these two types of tropical forests to warm,dry soil,this observation is only conclusive during the dry period,but not necessarily during wet periods.Further studies are needed to determine the trend of Rsrates during wet periods,considering different site conditions and types of vegetation.

Soil temperature and moisture sensitivities of soil CO_2 efflux before and after tillage in a wheat field of Loess Plateau,China

As a conventional farming practice, tillage has lasted for thousands of years in Loess Plateau, China. Although recent studies show that tillage is a prominent culprit to soil carbon loss in croplands, few studies have investigated the influences of tillage on the responses of soil CO2 efflux （SCE） to soil temperature and moisture. Using a multi-channel automated CO2 efflux chamber system, we measured SCE in situ continuously before and after the conventional tillage in a rain fed wheat field of Loess Plateau, China. The changes in soil temperature and moisture sensitivities of SCE, denoted by the Q10 value and linear regression slope respectively, were compared in the same range of soil temperature and moisture before and after the tillage. The results showed that, after the tillage, SCE increased by 1.2-2.2 times; the soil temperature sensitivity increased by 36.1%-37.5%; and the soil moisture sensitivity increased by 140%-166%. Thus, the tillage-induced increase in SCE might partially be attributed to the increases in temperature and moisture sensitivity of SCE.

A Mathematical Model of Heat Transfer in Problems of Pipeline Plugging Agent Freezing Induced by Liquid Nitrogen

A mathematical model for one-dimensional heat transfer in pipelines undergoing freezing induced by liquid nitrogen is elaborated.The basic premise of this technology is that the content within a pipeline is frozen to form a plug or two plugs at a position upstream and downstream from a location where work a modification or a repair must be executed.Based on the variable separation method,the present model aims to solve the related coupled heat conduction and moving-boundary phase change problem.An experiment with a 219 mm long pipe,where water was taken as the plugging agent,is presented to demonstrate the relevance and reliability of the proposed model(results show that the error is within 18%).Thereafter,the model is applied to predict the cooling and freezing process of pipelines with different inner diameters at different liquid nitrogen refrigeration temperatures when water is used as the plugging agent.

冻融条件下路基温度场和湿度场分布式感知试验

搭建土体冻融多物理场感知室内试验装置,布设传统点式传感器和分布式光纤,对土体冻融过程中路基温度场、湿度场和变形情况开展试验监测,探究单端冻结、双端融化条件下土体温度场和湿度场的分布式感知特征,验证主动加热分布式光纤技术的监测效果。试验结果表明,-15℃单端冻结条件下,土体冻结过程按降温速率分为快速冷却、逐步降温、稳定平衡三阶段,冻结锋面逐渐下移,最大冻深约占土柱高度的35%。孔隙水受冻胀迁移力影响向冻结锋面移动,引起冻融前后土体湿度场重分布,并导致土体冻胀变形,变形量为土体最大冻深的7.8%~10.9%。分布式光纤可准确得到冻融过程中土体温度场、湿度场变化特征,识别土体内冻结区域范围,温度、湿度监测拟合优度R2分别达0.98和0.94。

单向冻结下渠基土的锅盖效应试验研究

寒旱区刚柔复合衬砌渠道铺设的复合土工膜阻碍土体冻结过程中的水分蒸发,出现复合土工膜下土体增水的现象,即“锅盖效应”。为探究土体的锅盖效应发生机制和规律,制备不同含水率的土柱试样进行单向冻结试验,分析复合土工膜对土柱温度场和水分场的影响。研究表明:有复合土工膜覆盖土柱的降温速率及土层间温差均小于未覆盖复合土工膜的土柱;冻结过程中,未覆盖复合土工膜的土柱底部水分通过土体孔隙通道不断向顶层迁移补充后蒸发,整个土柱含水率降低,且呈不均匀状分布;而有复合土工膜覆盖的土柱,在水分迁移和锅盖效应作用下,底部土体含水率降低,膜下顶层土体含水率显著增加,且膜下结冰,表明复合土工膜使土体在冻结过程中产生明显的锅盖效应。初始含水率不同的土柱受锅盖效应影响后产生的水分迁移量和形态存在差异,初始含水率较小的土柱顶层含水率的增加以气态水迁移为主,初始含水率较大的土柱含水率的增加则以液态水迁移为主。

2000-2021年新疆植被覆盖度变化及驱动力

[目的]探讨2000—2021年新疆植被覆盖变化及其驱动力的分析,为新疆地区环境监测提供理论依据。[方法]借助GEE平台获取由NASA提供的NDVI数据,利用趋势分析、Hurst指数法对新疆地区2000—2021年植被覆盖变化进行动态分析,结合气象等数据,采用Mann-Kendall、偏相关分析法等对植被覆盖变化与气候、地表因素的响应进行分析。[结果](1)2000—2021年新疆地区NDVI年际变化总体以0.0014/a的速率波动式增长;年内变化总体呈倒U型,草甸植被的NDVI月均值波动最大。(2)2000—2021年新疆地区NDVI年均值77.9%在0~0.3波动,在空间分布表现为北部和西北部高,南部和东南部低。(3)2000—2021年新疆地区总体slope值在-0.036~0.052波动,主要变化趋势为基本不变和轻微改善,结合Hurst指数,新疆植被主要未来趋势变化为改善到退化。(4)22年间新疆地区的气温总体呈上升趋势,降水、土壤湿度和径流总体呈下降趋势。NDVI年均值与气温、降水、土壤湿度和径流呈显著负相关性的像元数占比均大于正相关性的像元数占比,且存在明显的空间地域特征。[结论]新疆植被覆盖变化总体呈上升趋势,但未来趋势不容乐观,需要重点关注新疆地区的环境监测等保护措施。

岩溶管道构造影响下浅部地层温度数值模拟研究

当含水岩溶构造体存在时,浅部地层温度场会产生变化。浅层测温法可以简单快速地获得浅层地温数据,通过温度差异反演出岩溶构造的分布。为了研究以贵州省盘州市某场地及其周围场地为对象时,浅层测温技术探测岩溶管道构造体的可行性,笔者采用数值模拟方法。结果表明:构造体不同的埋深会显著改变浅部地层的温度,对于单个岩溶构造体(等效直径为0.5 m,水温12℃),可探测深度极限约为66 m;在管道内流体的温度为12℃时,岩溶管道构造体有效流动截面积的增大会降低浅部地层温度,等效直径在0.1~1.0 m区间内改变时,2.0 m处地层温度的变化在0.02℃以内,这使得利用浅层测温法识别岩溶构造体的有效流动截面积变得困难;流体温度在一定范围内(12~18℃)的变化会改变浅部地层温度,尤其是低温流体的影响更为明显。

宁夏衬砌渠道渠基冻胀率水热响应试验研究

衬砌渠道周围的水分与温度场分布存在明显差异,此范围内渠基土在水热两场耦合作用下冻胀有明显不同。基于这种差异,开展渠基土在不同水分、温度条件下冻胀率试验研究。结果表明:在不同温度条件下,土体冻胀率随温度的变化过程可分为2个阶段,当温度从0℃降至-5℃左右时,在此阶段产生的冻胀率约占整个冻胀过程的50%~80%,冻胀率与温度线性关系明显。随着温度继续降低,2者非线性关系明显。在无补水情况下,相同温度条件下的土体,初始含水率越大,所产生的冻胀率越大;初始含水率25%和35%的土体产生的冻胀率均为初始含水率15%土体的1倍到2倍以上。当土体在冻胀过程中有水分补充时,其冻胀率与水分变化线性关系明显,初始含水率越大的土体产生的冻胀率增量越大,初始含水率25%、35%的土体冻胀率增量均为15%土体的2倍以上。提出的水热耦合条件与渠基土冻胀率的多元非线性关系与试验数据吻合较好。建立数值模拟模型,对衬砌渠道不同位置处冻胀作用分布与变形进行计算与分析,结果表明:温度越低、水分越大,衬砌渠道所受到的切向冻胀力与法向冻胀力越大。水热变化差异越大时,土体冻胀导致的衬砌渠道冻胀变形越显著。

马蹄脆片微波真空干燥工艺优化及其水分变化

以马蹄为原料,采用微波真空干燥技术干燥马蹄脆片,考察微波功率、干燥温度、真空度、切片厚度对马蹄脆片色差值、总糖含量、脆度的影响,以响应面试验优化干燥工艺,采用低场核磁共振技术研究马蹄脆片干燥过程水分变化情况。结果表明,微波真空干燥马蹄脆片的最佳工艺为微波功率2.0 kW、干燥温度71℃、真空度-95 kPa、切片厚度3.1 mm,所得产品色差值、总糖含量、脆度分别为3.42、50.51 mg/100 g、464.96 g,产品色泽白亮,酥脆可口,马蹄风味浓厚。低场核磁共振检测结果表明:马蹄片内部主要存在3种状态水,分别是自由水、不易流动水及结合水,其中自由水占比较高、结合水和不易流动水的比例相对较低,在最佳工艺下到达干燥终点时自由水完全除去,只剩少量的不易流动水以及结合水。

基于SHAW模型的祁连山浅山区荒漠草地土壤水热动态模拟研究

祁连山是我国重要的生态安全屏障,其浅山区是连接高寒山区与绿洲平原的过渡地带,土壤水热变化显著影响该区生态系统与水文过程的相互作用。本文利用祁连山浅山区荒漠草地的观测资料,基于SHAW模型对土壤水热动态进行了模拟和分析,利用控制变量法量化了不同冻融阶段气温和降水变化对土壤温度和水分的影响。结果表明:模型模拟的各层土壤温度纳什效率系数(NSE)均大于0.95,且土层越深模拟效果越好,模型模拟的土壤水分总体上能反映土壤水分的动态变化和浅层土壤中降水的入渗过程。不同冻融阶段土壤水热分布的剖面特征差异明显,总体而言,土壤温度波动随深度逐渐变小,而土壤水分随深度逐渐升高,浅层土壤水热过程对气象要素变化更敏感。情景分析表明,气温每升高1.0℃,土壤冻结发展期、完全冻结期和融化发展期分别缩短1.4 d、0.8 d和2.2 d,表层和深层土壤温度分别升高0.6℃和0.1℃,土壤温度升高的幅度随深度减小。降水的变化对完全融化期0.20~1.20 m的土壤水分影响最显著,对融化发展期和冻结发展期的影响体现在0.20~0.60 m的浅层土壤,而对完全冻结期的土壤未冻水含量基本没有影响。研究结果可为气候变化背景下祁连山浅山区脆弱生态系统的稳定性维持提供参考。

退火工艺下轧制差厚板非均匀温度场研究

轧制差厚钢板具有连续变化的厚度特性,因此在退火工艺下不同厚度区域的温度变化路径存在显著差异。这种差异改变了轧制差厚钢板的微观组织及力学性能,进而直接影响其后续成形及服役性能。为掌握退火工艺下轧制差厚钢板具有的性能差异化特性及产生内因,需要对轧制差厚钢板热处理过程中的温度分布及规律进行系统研究。研究所用轧制差厚钢板的几何特征为:薄区、过渡区及厚区纵向长度均为50 mm;薄区厚度1 mm,厚区为1.5 mm,差厚比1.5,过渡区厚度连续变化且无突变。建立了同步考虑轧制差厚钢板厚度连续变化特性及综合传热形式的温度场非稳态理论模型,并通过实验方法验证理论模型准确性。结果表明,在预设退火温度780℃的升温历程中,以薄区达到临界温度的时间(75 s)为测温终点,各厚区最高温度为779.3℃;最高温差135.1℃,整体呈现先增后减的趋势;最大升温速率为21.9℃/s,之后各区域升温速率逐步递减且在到达37 s时各厚区升温速率的高低顺序发生转变。研究通过分析轧制差厚钢板随时间变化的温度分布态势与其内在规律,以期为轧制差厚钢板热处理后的性能差异化预测提供理论基础及有效方法。

融合无人机多光谱和热红外影像的蔗田土壤含水率监测研究

甘蔗作为广西、云南等地的主要农作物,极易受到干旱的影响。土壤含水率是评估甘蔗是否受到干旱影响的重要指标。以蔗田土壤含水率为研究对象,利用无人机搭载的热红外和多光谱传感器数据计算出甘蔗冠层的温度、重归一化植被指数RDVI等植被指数,采用人工测定的方法对无人机监测数据进行校正和率定,构建了甘蔗的温度植被干旱指数(TVDI)模型。结果表明,利用多光谱和热红外传感器计算的TVDI与蔗田苗期、分蘖期、伸长期和成熟期土壤含水率均具有高度相关性,决定系数R2分别为0.9066、0.8190、0.8529和0.9160。因此,TVDI模型最适合用于监测甘蔗苗期和成熟期的受旱情况。