Heterogeneity of Thermal Extremes: Driven by Disturbance or Inherent in the Landscape

Ecologists are beginning to recognize the effect of heterogeneity on structure and function in arid and semiarid ecosystems. Additionally, the influences of temperature on ecosystems are widely documented, but landscape temperature patterns and relationships with vegetation are rarely reported in ecological studies. To better understand the importance of temperature patterns to the conservation and restoration of native ecosystems, we designed an experiment to investigate relationships among soil surface temperature, landscape heterogeneity, and grazing intensity. Grazing intensity did influence the vegetation structure and composition. Heavy treatments had the greatest bare ground and the least vertical structure. Ungrazed treatments had the most litter and live grass cover. However, average temperatures among the three grazing treatments were not different and ranged less than 2°C during midday summer periods. The temperature difference between riparian and upland landscapes within grazing treatments was 21°C. Landscape position (riparian vs. upland) did have a significant influence on soil surface temperature and produced a variation in temperature 11 times greater than grazing intensities. Thermal heterogeneity did not differ among grazing treatments. Lower soil surface temperatures (associated with riparian areas) may provide a critical thermal refuge for many animals in arid and semiarid ecosystems on hot summer days, when air temperatures can exceed 37°C. Riparian zones, specifically riparian vegetation, are an important component in ecosystem management.     

中温焙烧/钠化氧化法回收电镀污泥中的铬

采用中温焙烧/钠化氧化法从电镀污泥中回收铬.结果表明,影响铬浸出率的最主要因素为焙烧温度.电镀污泥与碳酸钠质量比、焙烧时间、水浸时间对铬浸出率的影响较接近,在水浸水固比为10.0 ; 1.0(质量比)、室温、焙烧温度为650℃、焙烧时间为2.0h、电镀污泥与碳酸钠质量比为1:1、水浸时间为60 min的最佳浸出条件下,铬浸出率为99.3%;去除氢氧化铝、氢氧化锌的最佳反应温度和pH分别为90～95℃和7.5;去除硫酸钠晶体的最佳pH为4.0,在最佳试验条件下,铬回收率为90.57%.     

基于遗传-神经网络算法的含均匀腐蚀缺陷油气管线爆破压力预测研究*

为提高含均匀腐蚀缺陷油气管线爆破压力的预测精度，保障长输油气管线的安全运行，将遗传算法和BP神经网络相结合，建立含均匀腐蚀缺陷油气管线爆破压力预测的遗传-BP神经网络（GA-BPNNs）模型。采用已有文献实验数据，分析对比该模型与AGA NG-18，ASME B31G，修正B31G，PCORRC，DNV RP-F101和SHELL 92等方法用于X46，X52，X60，X65，X80等材质油气管线含均匀腐蚀缺陷时爆破压力的计算误差。结果表明:GA-BPNNs模型用于含均匀腐蚀缺陷油气管线爆破压力预测时，误差在-7.78%～6.06%之间，预测精度明显高于目前国内外通用规范的计算结果；该模型操作简单，适用范围广，工程实用性好，为含缺陷压力管道爆破压力的预测提供更好的思路和方案。     

基于T-P模型的高低温环境型煤对甲烷吸附性能预测

为预测深部或浅部煤层不同温度和不同压力条件下的吸附等温线，选用型煤以高低温试验装置为依托，测试了温度为293.15，273.15，253.15 K的吸附等温线。基于T-P模型，利用等温吸附曲线对公式中的参数进行了合理的求解，探讨了一种简单的煤对瓦斯吸附等温线预测方法。研究表明:同一吸附平衡压力下，温度越低，煤的瓦斯吸附量越大；ε－ω吸附特征曲线与温度无关，呈现对数的形式；参数m和拟合度R2满足抛物线的关系，存在拟合效果最好时的参数m值。采用T-P模型预测得到的吸附等温线与实测的吸附等温线无论是趋势还是定量结果均十分吻合，其相对误差不超过5%。     

塔河油田集输管线20#钢在CO2/H2S环境中的腐蚀行为

为充分了解20#钢在塔河油田集输管线工况环境中的腐蚀行为,采用高温高压釜研究CO2/H2S分压比、温度和pH值对20#钢在CO2/H2S环境中的腐蚀规律的影响,并利用扫描电镜(SEM)分析腐蚀产物形貌特征。结果表明:CO2分压不变时,随着H2S分压的增加,20#钢的腐蚀速率先增大后减小,H2S分压为0.01 MPa时的腐蚀速率达到最大0.435 mm/a;随着温度的升高,20#钢的腐蚀速率逐渐增大,在100℃时腐蚀速率高达2.280 mm/a;CO2控制下20#钢的腐蚀速率随着pH值的增大而减小;H2S控制下20#钢的腐蚀速率随着pH值的增大而增大。     

淋雨及不同温度条件对消防员防护服各部位热阻的影响

为了研究淋雨及不同温度条件对消防员防护服各部位热阻的影响，以消防防护服为研究对象，利用环境舱和暖体假人系统，在20 mm/h降雨强度和20~30 ℃的复合环境条件下，研究淋雨、不同温度复合环境对服装各部位热阻的影响。研究结果表明:淋雨过程中，服装热阻的变化趋势为先上升再下降最后趋于稳定；淋雨与不同温度复合环境会使得消防防护服热阻降低，其中影响较大的部位为上臂部、腹部、胸部、背部及臀部等。     

低水温条件下CAST工艺在城市污水处理厂的应用

本文主要介绍了CAST工艺应用于污水处理厂的工艺流程和相关特点,在低温条件下的运行成果分析,并且探讨了设计和运行过程当中的各种问题,目的就是为北方CAST工艺的城市污水处理厂,在冬季低进水温度的条件下的应用,提供相关的处理措施。     

改性活性炭脱除硫化氢工艺参数研究

针对改性活性炭脱除硫化氢过程,研究了空速、温度、原料气浓度、颗粒分布孔径4个主要工艺参数对脱硫效率的影响。结果表明:空速在1 500～4 200h-1时穿透硫容随着空速的降低而增加,当空速继续降低为1 200h-1时穿透硫容基本不变;当0～40℃时,随着温度的升高,穿透时间增加,脱硫效率提高,当温度超过40℃时,随着温度继续升高脱硫效率降低;相同空速下原料气硫化氢浓度变化只改变穿透时间;改性活性炭脱硫剂发挥脱硫作用的微孔结构范围是1～5nm。     

Non-linear autoregressive neural network approach for inside air temperature prediction of a pillar cooler

The volcanic plate made pillar cooler system is designed for outdoor spaces as a heat exchanging medium and reduces the outcoming air temperature which flows through the exhaust port. This paper proposes the use of artificial neural networks (ANNs) to predict inside air temperature of a pillar cooler. For this purpose, at first, three statistically significant factors (outside temperature, airing and watering) influencing the inside air temperature of the pillar cooler are identified as input parameters for predicting the output (inside air temperature) and then an ANN was employed to predict the output. In addition, 70%, 15% and 15% data was chosen from a previously obtained data set during the field trial of the pillar cooler for training, testing and validation, respectively, and then an ANN was employed to predict inside air temperature. The training (0.99918), testing (0.99799) and validation errors (0.99432) obtained from the model indicate that the artificial neural network model (NARX) may be used to predict inside air temperature of pillar cooler. This study reveals that, an ANN approach can be used successfully for predicting the performance of pillar cooler.     

输油管道冻胀安全性温度场有限元分析

冻土区输油管道在投产运行过程中,由于管道沿线受到冻融影响引起的管线变形破坏现象比较普遍。已建的中俄原油管线由漠河进入中国,经过我国北方多年冻土区和季节冻土区直至大庆。输油管道在寒区运行过程中与周围土体发生了热交换,使原自然土层热交换体系改变,进而对运行的管线造成不利的影响如冻胀和融沉。本文对此进行研究为管道安全运行提供参考依据。