共查询到20条相似文献,搜索用时 102 毫秒
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采用共沉淀法制备SnO2-LiZnVO4系湿敏材料,研究了LiZnVO4的掺杂量对材料湿敏电容的影响。结果表明:LiZnVO4的掺杂量,环境的相对湿度(RH)、测试信号频率对湿敏电容有较大影响。当x(LiZnVO4)为10%时,可使材料具有合适的低湿电容和灵敏度。在100Hz下,当环境的RH从33%上升到93%时,SnO2-LiZnVO4系湿敏材料制备的湿敏元件的电容增量可达起始值的2300%,显示出较高的电容湿度敏感性。湿敏元件的电容响应时间约为54s,恢复时间约为60s。湿滞约为RH6%。 相似文献
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介绍了一种基于1-Wire总线的多点温度、湿度测量仪的设计方案,利用集成湿度传感器HiH3610测得相对湿度,由多功能芯片DS2438测得环境温度和湿度传感器输出的电压值,单片机对DS2438传来的各采集点数据进行处理和显示.该仪器测温范围和精度为:-40℃~80℃,精度:±0.5℃;湿度测量范围:0~100%RH,精度:±2%RH. 相似文献
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为了研究温/湿度的无线采集与控制,提出基于单片机AT89C52和AT89C2051作为微处理器的无线温/湿度采集与控制系统。由控制器模块、键盘模块、液晶显示模块、无线发射/接收模块、报警模块、空调系统组成。采用温度传感器DS18B20采集温度;采用线性频率输出集成湿度传感器HF3223采集相对湿度;采用键盘对目标温度进行人工设定;采用液晶显示器RT12864和LCD1602显示温度值和湿度值;采用PID算法产生的PWM波来实现对温度的控制;采用无线发射/接收模块实现温度值和湿度值的无线传输和显示。 相似文献
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利用Nd:YAG脉冲激光器作为光源,在实验室自然大气环境下诱导产生土壤激光等离子体,测量并分析了土壤疏松度对土壤中铅元素激光诱导击穿光谱特性的影响。实验结果表明,随着对土壤施加压力的变大,谱线强度和等离子体温度先随之增加后变化缓慢,谱线强度的相对标准偏差在压力为1400 N时达最小值。采用内标法和背景修正法对土壤疏松度的影响进行了修正,一定程度上减小了土壤疏松度的影响。 相似文献
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Low-power radio is primarily associated with remote control, telemetry and short-range communications. It also plays a vital role in the location and maintenance of underground pipes and cables. The various ways in which radio emissions can be used to detect pipes and cables are illustrated by the three operating modes of the CAT (cable avoidance tool), the base product for pipe and cable detection manufactured. by Radiodetection Ltd. In the 'power' mode, the CAT detects signals derived from the mains supply network; in 'Radio' mode, it detects reradiated low-frequency broadcast signals, and, in 'Genny' mode, it detects deliberately imposed signals. The operating frequencies and location depths corresponding to these three modes are indicated. The CAT is a battery-powered, hand-held product with a loudspeaker providing a sound signal to indicate the amplitude of the received radiation 相似文献
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Wigneron J.-P. Chanzy A. de Rosnay P. Rudiger C. Calvet J.-C. 《Geoscience and Remote Sensing, IEEE Transactions on》2008,46(3):797-807
To retrieve soil moisture from L-band microwave radiometry, it is necessary to account for the effects of temperature within both vegetation and soil media. To compute the effective soil temperature TG, several simple formulations accounting for soil temperatures at the surface and at depth and surface soil moisture have been developed. However, the effects of the soil physical properties in terms of texture, density, or structure, which all may be important variables in the modeling of TG, have never been investigated. In this paper, several simple formulations of TG at L-band, accounting for or ignoring the effects of soil texture and density, were developed and compared based on a very large simulated data set. The best configurations and parameterizations of these simple formulations were computed and could be directly used for operational applications in future soil moisture retrieval studies. For instance, we showed that the use of the surface temperature in the estimation of TG can be significantly improved by using additional information on the soil temperature at depth (the average error in the estimation of TG decreased from ~ 4 to ~ 1.8 K). On the contrary, almost no improvement was obtained if air temperature was used instead of surface temperature. Also, it is shown that the use of additional information on the soil properties, mainly the soil clay content and density, led to improved results by about 0.2 K in the estimation of TG. The improvement was found to be larger for sandy and dry soils: simplified formulations accounting for soil properties are able to represent the fact that TG is closer to the soil temperature at depth for these soil conditions. 相似文献
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利用扫描电镜观察了土壤/橡胶粘附系统自然风干后界面处土壤表层微形态,发现土壤表层呈现各种尺度的粗糙结构,微观形态特征与界面所受法向压力的大小有关。文中还对土壤与固体外物表面粘附的机理进行了分析,并依据粘附界面土壤固相形成特征,探讨了土壤粘附界面水膜状态及其对土壤粘附强度的影响。 相似文献
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Multifrequency Measurements of the Effects of Soil Moisture, Soil Texture, And Surface Roughness 总被引:2,自引:0,他引:2
Wang James R. O'Neill Peggy E. Jackson Thomas J. Engman Edwin T. 《Geoscience and Remote Sensing, IEEE Transactions on》1983,(1):44-51
An experiment on remote sensing of soil moisture content was conducted over bare fields with microwave radiometers at the frequencies of 1.4, 5, and 10.7 GHz, during July-September of 1981. Three bare fields with different surface roughnesses and soil textures were prepared for the experiment. Ground-truth acquisition of soil temperatures and moisture contents for 5 layers down to the depths of 15 cm was made concurrently with radiometric measurements. The experimental results show that the effect of surface roughness is to increase the soil's brightness temperature and to reduce the slope of regression between brightness temperature and moisture content. The slopes of regression for soils with different textures are found to be comparable and the effect of soil texture is reflected in the difference of regression line intercepts at brightness-temperature axis. The result is consistent with laboratory measurement of soil's dielectric permittivity. Measurements on wet smooth bare fields give lower brightness temperatures at 5 than at 1.4 GHz. This phenomenon is not expected from current radiative transfer theory, using laboratory measurements of the relationship between dielectric permittivity and moisture content for different soil-water mixtures at frequencies of <5 GHz. 相似文献
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Chang Alfred T. C. Atwater Susan G. Salomonson Vincent V. Estes John E. Simonett David S. Bryan M. Leonard 《Geoscience and Remote Sensing, IEEE Transactions on》1980,(4):303-310
The objectives of this experiment were to assess the performance of an L-band, 25-cm wavelength imaging synthetic aperture radar (SAR) for soil moisture determination, and to study the temporal variability of radar returns from a number of agricultural fields. A series of three overflights was accomplished during March 1977 over an agricultural test site in Kern County, CA. Soil moisture samples were collected from bare fields at nine sites at depths of 0-2, 2-5, 5-15, and 15-30 cm. These gravimetric measurements were converted to percent of field capacity for correlation to the radar return signal. The initial signal film was optically correlated and scanned to produce image data numbers. These numbers were then converted to relative return power by linear interpolation of the noise power wedge which was introduced in 5-dB steps into the original signal film before and after each data run. Results of correlations between the relative return power and percent of field capacity (%FC) demonstrate that the relative return power from this imaging radar system is responsive to the amount of soil moisture in bare fields. The signal returned from dry (15%FC) and wet (130%FC) fields where furrowing is parallel to the radar beam differs by about 15 dB. Problems remain to be resolved before this technique can be operationally employed. First, adequate calibration of the radar system is required to insure comparability of data both from area to area within a single flight and between different flights. 相似文献
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Soil moisture retrieval from AMSR-E 总被引:41,自引:0,他引:41
Njoku E.G. Jackson T.J. Lakshmi V. Chan T.K. Nghiem S.V. 《Geoscience and Remote Sensing, IEEE Transactions on》2003,41(2):215-229
The Advanced Microwave Scanning Radiometer (AMSR-E) on the Earth Observing System (EOS) Aqua satellite was launched on May 4, 2002. The AMSR-E instrument provides a potentially improved soil moisture sensing capability over previous spaceborne radiometers such as the Scanning Multichannel Microwave Radiometer and Special Sensor Microwave/Imager due to its combination of low frequency and higher spatial resolution (approximately 60 km at 6.9 GHz). The AMSR-E soil moisture retrieval approach and its implementation are described in this paper. A postlaunch validation program is in progress that will provide evaluations of the retrieved soil moisture and enable improved hydrologic applications of the data. Key aspects of the validation program include assessments of the effects on retrieved soil moisture of variability in vegetation water content, surface temperature, and spatial heterogeneity. Examples of AMSR-E brightness temperature observations over land are shown from the first few months of instrument operation, indicating general features of global vegetation and soil moisture variability. The AMSR-E sensor calibration and extent of radio frequency interference are currently being assessed, to be followed by quantitative assessments of the soil moisture retrievals. 相似文献