• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

对比不同质地土壤使用主动加热光纤测量土壤水分的加热策略。

Comparison of Heating Strategies on Soil Water Measurement Using Actively Heated Fiber Optics on Contrasting Textured Soils.

机构信息

Department of Natural Resources Sciences, McGill University, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada.

Department of Soil Science, University of Peradeniya, Peradeniya 20400, Sri Lanka.

出版信息

Sensors (Basel). 2021 Feb 1;21(3):962. doi: 10.3390/s21030962.

DOI:10.3390/s21030962
PMID:33535461
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7867044/
Abstract

The actively heated fiber optics (AHFO) technique has the potential to measure soil water at high spatial and temporal resolutions, and thus it can bridge the measurement gap from point to large scales. However, the availability of power might restrict its use, since high power is required to heat long fiber optic cables under field conditions; this can be a challenge for long-term soil water monitoring under field conditions. This study investigated the performance of different heating strategies (power intensity and heating duration) on soil water measurement by the AHFO technique on three different textured soils. Different heating strategies: high power-short pulses (20 Wm-3 min), low power-short pulses (10 Wm-3 min, 5 Wm-3 min, 2.5 Wm-3 min) and low power-long pulses (10 Wm-5 min, 5 Wm-10 min, 2.5 Wm-15 min) were tested using laboratory soil columns. The study compared the sensitivity of the thermal response, NT to volumetric water content (VWC) and the predictive error of different heating strategies and soils. Results of this study showed that the sensitivity of NT increased and the predictive error decreased with increasing power intensity, irrespective of the soil type. Low power-short heat pulses such as 5 Wm-3 min and 2.5 Wm-3 min produced high predictive errors, RMSE of 5-6% and 6-7%, respectively. However, extending the heating duration was effective in reducing the error for both 10 and 5 Wm power intensities, but not for the 2.5 Wm. The improvement was particularly noticeable in 5 Wm -10 min; it reduced the RMSE by 1.5% (sand and clay loam) and 2.73% (sandy loam). Overall, the results of this study suggested that extending the heating duration of 10 and 5 Wm power intensities can improve the sensitivity of the thermal response and predictive accuracy of the estimated soil water content (SWC). The results are particularly important for field applications of the AHFO technique, which can be limited by the availability of high power, which restricts the use of 20 Wm. For example, 5 Wm-10 min improved the predictive accuracy to 3-4%, which has the potential to be used for validating soil water estimations at satellite footprint scales. However, the effects of diurnal temperature variations should also be considered, particularly when using low power intensity such as 5 Wm in surface soils under field conditions.

摘要

主动加热光纤(AHFO)技术具有以高时空分辨率测量土壤水分的潜力,因此可以弥合从点到大规模测量的差距。然而,由于在野外条件下需要高功率来加热长光纤电缆,因此电源的可用性可能会限制其使用;这可能是野外长期土壤水分监测的一个挑战。本研究调查了不同加热策略(功率强度和加热持续时间)对三种不同质地土壤中 AHFO 技术测量土壤水分的性能的影响。使用实验室土壤柱测试了不同的加热策略:高功率-短脉冲(20 Wm-3 min)、低功率-短脉冲(10 Wm-3 min、5 Wm-3 min、2.5 Wm-3 min)和低功率-长脉冲(10 Wm-5 min、5 Wm-10 min、2.5 Wm-15 min)。研究比较了不同加热策略和土壤的热响应灵敏度 NT 与体积含水量(VWC)的关系以及不同加热策略的预测误差。本研究结果表明,无论土壤类型如何,随着功率强度的增加,NT 的灵敏度增加,预测误差减小。低功率-短热脉冲(如 5 Wm-3 min 和 2.5 Wm-3 min)会产生较高的预测误差,分别为 5-6%和 6-7%。然而,延长加热时间对于 10 Wm 和 5 Wm 的功率强度都可以有效降低误差,但对于 2.5 Wm 则不行。在 5 Wm-10 min 中,这种改进尤为明显;它将 RMSE 降低了 1.5%(砂壤土和粉质壤土)和 2.73%(砂壤土)。总体而言,本研究结果表明,延长 10 Wm 和 5 Wm 功率强度的加热时间可以提高热响应的灵敏度和估计土壤含水量(SWC)的预测精度。这些结果对于 AHFO 技术的野外应用尤其重要,因为野外应用可能会受到高功率可用性的限制,这限制了 20 Wm 的使用。例如,5 Wm-10 min 提高了预测精度至 3-4%,这有可能用于验证卫星足迹范围内的土壤水分估计值。然而,还应考虑昼夜温度变化的影响,特别是在野外条件下,表面土壤中使用低功率强度(如 5 Wm)时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/efa474abe998/sensors-21-00962-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/6fa58314ae46/sensors-21-00962-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/9cddfa9ef535/sensors-21-00962-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/912f2243ccfb/sensors-21-00962-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/9500e6e0e472/sensors-21-00962-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/e704a8555b19/sensors-21-00962-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/85f63c13faf7/sensors-21-00962-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/d1234d9ee219/sensors-21-00962-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/f23e452a1849/sensors-21-00962-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/7ad4bfba1224/sensors-21-00962-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/efa474abe998/sensors-21-00962-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/6fa58314ae46/sensors-21-00962-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/9cddfa9ef535/sensors-21-00962-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/912f2243ccfb/sensors-21-00962-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/9500e6e0e472/sensors-21-00962-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/e704a8555b19/sensors-21-00962-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/85f63c13faf7/sensors-21-00962-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/d1234d9ee219/sensors-21-00962-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/f23e452a1849/sensors-21-00962-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/7ad4bfba1224/sensors-21-00962-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae53/7867044/efa474abe998/sensors-21-00962-g010.jpg

相似文献

1
Comparison of Heating Strategies on Soil Water Measurement Using Actively Heated Fiber Optics on Contrasting Textured Soils.对比不同质地土壤使用主动加热光纤测量土壤水分的加热策略。
Sensors (Basel). 2021 Feb 1;21(3):962. doi: 10.3390/s21030962.
2
Soil Water Measurement Using Actively Heated Fiber Optics at Field Scale.田间尺度下基于主动加热光纤的土壤水分测量
Sensors (Basel). 2018 Apr 6;18(4):1116. doi: 10.3390/s18041116.
3
The Impacts of Heating Strategy on Soil Moisture Estimation Using Actively Heated Fiber Optics.加热策略对使用主动加热光纤进行土壤湿度估计的影响。
Sensors (Basel). 2017 Sep 13;17(9):2102. doi: 10.3390/s17092102.
4
Towards Improved Field Application of Using Distributed Temperature Sensing for Soil Moisture Estimation: A Laboratory Experiment.迈向提高分布式温度传感在土壤水分估算中应用的野外适用性:一项实验室实验。
Sensors (Basel). 2019 Dec 19;20(1):29. doi: 10.3390/s20010029.
5
Vulnerability of tropical forest ecosystems and forest dependent communities to droughts.热带森林生态系统和依赖森林的社区对干旱的脆弱性。
Environ Res. 2016 Jan;144(Pt B):27-38. doi: 10.1016/j.envres.2015.10.022. Epub 2015 Nov 6.
6
Irrigation Scheduling Based on Wireless Sensors Output and Soil-Water Characteristic Curve in Two Soils.基于两种土壤的无线传感器输出和土壤水分特征曲线的灌溉调度。
Sensors (Basel). 2020 Feb 29;20(5):1336. doi: 10.3390/s20051336.
7
Assessing Effects of Salinity on the Performance of a Low-Cost Wireless Soil Water Sensor.评估盐度对低成本无线土壤水分传感器性能的影响。
Sensors (Basel). 2020 Dec 9;20(24):7041. doi: 10.3390/s20247041.
8
Challenges in determining soil moisture and evaporation fluxes using distributed temperature sensing methods.利用分布式温度传感方法测定土壤湿度和蒸发通量的挑战。
J Environ Manage. 2020 May 1;261:110232. doi: 10.1016/j.jenvman.2020.110232. Epub 2020 Mar 2.
9
An Investigation of the Accuracy of EC5 and 5TE Capacitance Sensors for Soil Moisture Monitoring in Urban Soils-Laboratory and Field Calibration.城市土壤中 EC5 和 5TE 电容传感器土壤湿度监测的精度研究——实验室和野外标定。
Sensors (Basel). 2020 Nov 14;20(22):6510. doi: 10.3390/s20226510.
10
Heated distributed temperature sensing for field scale soil moisture monitoring.用于大田尺度土壤湿度监测的分布式温度感测加热。
Ground Water. 2012 May-Jun;50(3):340-7. doi: 10.1111/j.1745-6584.2012.00928.x. Epub 2012 Mar 28.

引用本文的文献

1
Challenges and advances in measuring sap flow in agriculture and agroforestry: A review with focus on nuclear magnetic resonance.农业和农林业中测量液流的挑战与进展:以核磁共振为重点的综述
Front Plant Sci. 2022 Nov 8;13:1036078. doi: 10.3389/fpls.2022.1036078. eCollection 2022.

本文引用的文献

1
A Fiber Bragg-Grating-Based Miniature Sensor for the Fast Detection of Soil Moisture Profiles in Highway Slopes and Subgrades.基于光纤布拉格光栅的微型传感器,用于快速检测公路边坡和路基中的土壤水分剖面。
Sensors (Basel). 2018 Dec 14;18(12):4431. doi: 10.3390/s18124431.
2
The Impacts of Heating Strategy on Soil Moisture Estimation Using Actively Heated Fiber Optics.加热策略对使用主动加热光纤进行土壤湿度估计的影响。
Sensors (Basel). 2017 Sep 13;17(9):2102. doi: 10.3390/s17092102.
3
Heated distributed temperature sensing for field scale soil moisture monitoring.
用于大田尺度土壤湿度监测的分布式温度感测加热。
Ground Water. 2012 May-Jun;50(3):340-7. doi: 10.1111/j.1745-6584.2012.00928.x. Epub 2012 Mar 28.
4
Calibrating single-ended fiber-optic Raman spectra distributed temperature sensing data.标定单端光纤 Raman 光谱分布式温度传感数据。
Sensors (Basel). 2011;11(11):10859-79. doi: 10.3390/s111110859. Epub 2011 Nov 21.
5
Distributed-temperature sensing using stimulated Brillouin scattering in optical silica fibers.利用光学石英光纤中的受激布里渊散射进行分布式温度传感。
Opt Lett. 1990 Sep 15;15(18):1038-40. doi: 10.1364/ol.15.001038.