Determining Forest Duff Water Content Using a Low-Cost Standing Wave Ratio Sensor.

Determining Forest Duff Water Content Using a Low-Cost Standing Wave Ratio Sensor.
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使用低成本驻波比传感器确定森林干燥水含量

DOI:
10.3390/s18020647
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发表时间:
2018-02-22
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Zhao Y
Zhao Y
中科院分区:
其他
文献类型:
--
作者:
Yan X;Zhao Y;Cheng Q;Zheng X;Zhao Y

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森林枯枝落叶层(发酵物和腐殖质)含水量是森林火险预测和水资源管理的重要参数。然而,由于其松散的结构,森林duff含水量的准确测定是困难的。本研究评估驻波比(SWR)传感器的可行性,以准确地确定森林duff含水量。该传感器的性能进行了测试,发酵和腐殖质与八个不同的压实水平。同时,商业化的时域反射仪(TDR)进行了比较。标定结果表明,发酵样品和腐殖土样品在不同压实等级下的体积含水量(θV)与驻波比传感器读数(VSWR)之间存在较强的线性关系。SWR和TDR的传感器读数都低估了在低压实水平的森林duff含水量,证明森林duff的压实可以显着影响两个传感器的测量精度。实验数据还表明,根据均方根误差(RMSE),SWR传感器的精度高于TDR。此外,与TDR相比,低成本是SWR传感器的另一个重要优点。这种低成本的SWR传感器在松散材料中表现良好,用于评估森林duff的含水量是可行的。此外,研究结果还表明,在进行连续和长期的含水量测量时,应考虑森林枯枝落叶层的分解。
Forest duff (fermentation and humus) water content is an important parameter for fire risk prediction and water resource management. However, accurate determination of forest duff water content is difficult due to its loose structure. This study evaluates the feasibility of a standing wave ratio (SWR) sensor to accurately determine the forest duff water content. The performance of this sensor was tested on fermentation and humus with eight different compaction levels. Meanwhile, a commercialized time domain reflectometry (TDR) was employed for comparison. Calibration results showed that there were strong linear relationships between the volumetric water content (θV) and the SWR sensor readings (VSWR) at different compaction classes for both fermentation and humus samples. The sensor readings of both SWR and TDR underestimated the forest duff water content at low compacted levels, proving that the compaction of forest duff could significantly affect the measurement accuracy of both sensors. Experimental data also showed that the accuracy of the SWR sensor was higher than that of TDR according to the root mean square error (RMSE). Furthermore, low cost is another important advantage of the SWR sensor in comparison with TDR. This low-cost SWR sensor performs well in loose materials and is feasible for evaluating the water content of forest duff. In addition, the results indicate that decomposition of the forest duff should be taken into account for continuous and long-term water content measurement.
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