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引用本文:马亚平,王乃功,贾昊,曹兵.2019.改进式开顶气室模拟CO2浓度控制系统性能分析[J].地球环境学报,10(3):307-315
MA Yaping, WAHG Naigong, JIA Hao, CAO Bing.2019.Evaluation of a modified open-top chamber simulation system on the study of elevated CO2 concentration effects[J].Journal of Earth Environment,10(3):307-315
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改进式开顶气室模拟CO2浓度控制系统性能分析
马亚平,王乃功,贾昊,曹兵
1. 宁夏大学 农学院,银川 750021 2. 河北其实电子科技有限公司,邯郸 056004
摘要:
为提高开顶气室(open-top chamber,OTC)模拟气候变化研究植物生理响应的控制效果,基于前期OTC控制系统基础,对气室结构、控制系统及监测系统改进升级。对改进后的OTC控制系统采集了试验期间5月—10月OTC气室内CO2浓度、温度及空气相对湿度实时数据分析模拟效果,结果表明:改进后的OTC控制系统能够控制CO2浓度达到试验预设浓度梯度,在试验期OTC气室内监测的CO2浓度平均值对照组(CK)为369.33 μmol∙mol−1,处理1组(TR1)为558.35 μmol∙mol−1,处理2组(TR2)为772.71 μmol∙mol−1;CO2浓度波动范围TR1组为551.82—572.40 μmol∙mol−1,变幅为20.58 μmol∙mol−1;TR2组为756.71—779.79 μmol∙mol−1,变幅为23.08 μmol∙mol−1,满足试验预设模拟要求;气室内不同处理间温度、空气相对湿度差异均不显著(p>0.05)。改进后的OTC控制系统模拟效果好,可用于研究植物响应气候变化的模拟试验。
关键词:  开顶气室  二氧化碳浓度  空气温度  空气相对湿度
DOI:10.7515/JEE182070
CSTR:32259.14.JEE182070
分类号:
基金项目:国家自然科学基金项目(31660199,31160172)
英文基金项目:National Natural Science Foundation of China (31660199, 31160172)
Evaluation of a modified open-top chamber simulation system on the study of elevated CO2 concentration effects
MA Yaping, WAHG Naigong, JIA Hao, CAO Bing
1. School of Agriculture, Ningxia University, Yinchuan 750021, China 2. Hebei Qishi Electronics Technology Co. Ltd., Handan 056004, China
Abstract:
Background, aim, and scope Enhancement of carbon dioxide (CO2) in the atmosphere has received great attention due to its potential repercussion on global warming and direct effects on the vegetation, especially with a potential increase in atmospheric CO2 level from 400 μmol·mol−1 to 1000 μmol·mol−1 by the end of 21st century according with currents environmental studies. Therefore, development of new technologies on controlled environment conditions are needed to investigate plant response to CO2 enhancements and its possible repercussion on world food security. Among the controlled environment facilities such as the free air CO2 enrichment (FACE), soil-plant-atmosphere research chambers (SPAR), and CO2-temperature gradient chambers (CTGC), the open-top chambers (OTC) are commonly used to control elevated CO2 concentration for plant science research. In the present study, we aimed to evaluate a modified OTC, designed and constructed based on previous OTC experiences, which provides a precise control of CO2 under different concentrations, with excellent control of air temperature and humidity. Materials and methods Three parts of OTC chamber structure, control system and monitoring system are improved and upgraded. (1) The modified OTC has a regular octagonal prism structure made of plastic steel 4 mm thick high transmittance glass material, an improvement over the previous system. The structure dimensions are 1.08 m length (diagonal), of 2.78 m diameter, and the inner and outer height (top) of 2.55 m and 2.10 m, respectively. (2) The monitoring system consisted of CO2 analyzers, temperature and humidity sensors, and a data acquisition system. (3) The control system is also composed by other features like programmable logic controller, GPRS communication module, a touch screen, a micro-relay, CO2 pressure reducing valves, solenoid valves, perforated windpipes, and CO2 cylinders. The OTC control system automatically collects and uploads data every six minutes using a system control coupled to the PI regulation mode (Proportional integral controller). A linear controller generates deviation monitoring according to a given and an actual output value. The system is also equipped with a GSM communication module connected with the PLC through the Protocol PPI (Point to point interface) to upload all the data to a web server. The OTC control, monitoring system and the data can be accessed in real time through web browser or mobile App, reducing operation costs and allowing environmental variables monitoring. (4) To test the functionality of the modified OTC, Goji berry (Lycium barbarum L.) plants were grown from May to October on 2017 inside the chambers. Real-time data of CO2 concentration, temperature, and air relative humidity of the chambers were collected. Results As a result, the average CO2 levels obtained in the chamber during the study period was 369.33 μmol·mol−1 for ambient conditions, while elevated group 1 and group 2 showed concentrations of 558.35 μmol·mol−1 and 772.71 μmol·mol−1 respectively. The fluctuation for elevated group 1 ranged from 551.82 μmol·mol−1 to 572.40 μmol·mol−1 with a variation amplitude of 20.58 μmol·mol−1. In the elevated group 2, the range of CO2 concentration was from 756.71 μmol·mol−1 to 779.79 μmol·mol−1 with variation amplitude of 23.08 μmol·mol−1. In addition, no significant differences were found in temperature and air relative humidity among the chambers treatments (p>0.05). Discussion The improved OTC simulation control system can well control the CO2 concentration to meet the preset concentration requirements. In actual control, it needs to further debug and improve to achieve stable operation. Hysteresis usually occurs in the actual control, mainly because in the actual control, CO2 sensor from the monitoring of indoor air CO2 concentration to the control system takes a certain time, the control system automatically adjusts the solenoid valve opening and closing frequency through real-time monitoring data, keeping the CO2 concentration in the air chamber always close to the preset value, the CO2 concentration in the air chamber will be higher than the preset value due to the time difference. In addition, the CO2 concentration is also affected by the outside wind speed and the photosynthetic respiration of the plant, and the CO2 concentration in the air chamber changes greatly. The main purpose of using OTC simulation system in this study is to long-term study the effects of different CO2 concentration treatments on the physiological process of plants. The influencing factors are the same except for the CO2 concentration. This system monitors the temperature and humidity of OTC chambers in real time through different treatment. The results show that the difference in temperature and humidity in different treatment chambers is small, the trend of change is consistent, and the test control effect is good, and the expected purpose of the test is achieved. In addition, if it is necessary to increase temperature simulation in the study, a temperature increase control system may be correspondingly increased to achieve different CO2 concentration and temperature interactive processing simulation test. Conclusions These results demonstrated precise control of CO2 concentration, temperature, and humidity inside the modified OTC chambers, showing an excellent development of CO2 effect improvement on Goji berry, and it can be used to test climate change response in other plant species. Recommendations and perspectives The improved OTC control system realizes automatic unsupervised operation 24 hours a day. All data systems are automatically uploaded to the web server. The system operation status can be monitored in real time through a web browser/mobile phone App, and the system can be controlled and the solenoid valve can be opened and closed. Download data, no geographical restrictions, no manual on-site supervision and save operating costs, improve work efficiency. The system can be used to study the simulation test of plants responding to climate change, and it can also provide reference for other studies related to the simulation of climate change.
Key words:  open-top chamber  CO2 concentration  air temperature  air relative humidity
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