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宇宙射線中子法測量區(qū)域土壤水分準(zhǔn)確性季節(jié)變化研究
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國家自然科學(xué)基金面上項(xiàng)目(42175193)、中國氣象局創(chuàng)新發(fā)展專項(xiàng)(CXFZ2021J068,、CXFZ2021J073),、重慶市技術(shù)創(chuàng)新與應(yīng)用發(fā)展專項(xiàng)(cstc2020jscx-msxmX0111)、重慶市氣象局科技計(jì)劃項(xiàng)目(QNJJ-201703),、重慶市氣象部門業(yè)務(wù)技術(shù)攻關(guān)項(xiàng)目(YWJSGG-201905)和重慶市氣象部門智慧氣象技術(shù)創(chuàng)新團(tuán)隊(duì)項(xiàng)目(ZHCXTD-202016)


Seasonal Variations of Regional Soil Moisture Measurement Accuracy Based on Cosmic-ray Neutron Sensing
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    摘要:

    為證實(shí)典型氣象條件下宇宙射線中子法測量區(qū)域土壤水分準(zhǔn)確性的差異和應(yīng)用普適性,,以季節(jié)為時(shí)間劃分尺度,并選取典型氣象條件時(shí)段,,對比研究山地地形下墊面宇宙射線中子法(CRNS)與頻域反射法(FDR)土壤水分連續(xù)觀測效果差異,。結(jié)果表明:山地地形下墊面,CRNS水平測量足跡的季節(jié)變化較為穩(wěn)定,,垂直足跡在耕作層范圍內(nèi)有一定波動(dòng),。不同季節(jié)降水過程的量級差異是引起CRNS測量結(jié)果偏差的主要因素,夏秋兩季,,在高溫少雨導(dǎo)致的持續(xù)失墑以及較大量級降水過程等土壤水分變化較為劇烈的時(shí)段,,CRNS與FDR測量結(jié)果一致性較好,春季多為小量級降水,,作物冠層截留作用導(dǎo)致二者一致性略差,,冬季降水量與蒸散發(fā)接近平衡,且單次降水量級極小,,CRNS與FDR偏差極小,。分析典型土壤水分條件下的CRNS測量準(zhǔn)確性變化,進(jìn)一步明確了降水過程對CRNS準(zhǔn)確性的干擾,而在持續(xù)高溫干旱時(shí)段則一致性良好,,均方根誤差(RMSE),、納什效率系數(shù)(NSE)和Kling-Gupta系數(shù)(KGE)分別達(dá)到0.014m3/m3、0.925,、0.919。研究可為CRNS的應(yīng)用場景選取與數(shù)據(jù)質(zhì)量控制提供科學(xué)依據(jù),。

    Abstract:

    The cosmic-ray neutron sensing method is a mesoscale and non-contact method for measuring soil moisture, which has been widely studied and applied. However, whether the accuracy and the applicability of the measurement results was consistent under the influence of typical meteorological conditions have not been clearly confirmed. The seasons were divided into time scales and typical meteorological periods were selected to study the difference of continuous observation effect between cosmic-ray neutron sensing (CRNS) and frequency domain reflection(FDR) under mountainous terrain. The result indicated that the seasonal variation of CRNS horizontal footprint was relatively stable under mountainous terrain, while the vertical footprint was fluctuated within the tillage layer. Different precipitation levels in different seasons was the main factor causing CRNS measurement deviation, during the period of severe soil moisture change, such as the continuous loss of soil moisture caused by high temperature and little rain and the process of precipitation of larger magnitude in summer and autumn, the results of CRNS and FDR were consistent. The spring precipitation was also smaller magnitude, canopy interception results in slightly different consistency between CRNS and FDR. In winter, precipitation and evapotranspiration were basically balanced, and the single precipitation was smaller magnitude, CRNS and FDR had a minimal deviation. The variation of CRNS measurement accuracy under typical soil moisture conditions was analyzed to further explain the influence of precipitation on the accuracy of CRNS, while the consistency was good in the period of continuous high temperature and drought, the root mean square error(RMSE), Nash-Sutcliffe efficiency coefficient(NSE)and Kling-Gupta efficiency coefficient(KGE)was 0.014m3/m3, 0.925 and 0.919, respectively. The research results can provide a scientific basis for the selection of application scenarios and data quality control of CRNS.

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武強(qiáng),黃娜,羅孳孳,唐余學(xué),朱玉涵,徐倩倩.宇宙射線中子法測量區(qū)域土壤水分準(zhǔn)確性季節(jié)變化研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2022,53(1):321-330. WU Qiang, HUANG Na, LUO Zizi, TANG Yuxue, ZHU Yuhan, XU Qianqian. Seasonal Variations of Regional Soil Moisture Measurement Accuracy Based on Cosmic-ray Neutron Sensing[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(1):321-330.

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  • 收稿日期:2020-12-04
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  • 在線發(fā)布日期: 2022-01-10
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