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首页> 外文期刊>Journal of plant nutrition and soil science >Analysis of uncertainty for N 22 O fluxes measured with the closed‐chamber method under field conditions: Calculation method, detection limit, and spatial variability.
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Analysis of uncertainty for N 22 O fluxes measured with the closed‐chamber method under field conditions: Calculation method, detection limit, and spatial variability.

机译:n 2 2 o磁通量分析,在现场条件下测量闭合腔室方法:计算方法,检测限, 和空间变异性。

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Abstract > The search for agricultural practices that mitigate N <sub>2</sub> O emissions, and the validation and development of models, would benefit if the uncertainty of emission estimates would be reduced relative to current levels. This uncertainty has different sources, such as the error of the flux measurements, the error caused by spatially scaling up measurements to the field or regional level, and the error caused by estimating emissions for the time intervals between measurements by interpolation. This paper focuses on the uncertainty of flux measurements and on flux spatial variability, which is a major cause of error when measured fluxes are scaled up spatially. The analysis focuses on 2415 flux measurements made with the closed chamber method over a monitoring campaign of approximately 3 years. > Statistically significant nonlinearities in the changes of N <sub>2</sub> O concentrations during chamber closure were infrequent (8.3%). Further analysis of significant non‐linear concentration changes indicates that, for positive fluxes, nonlinearity might not always be an artifact caused by chamber placement, but that it can reflect natural temporal variability of the flux during chamber placement in a significant number of cases. The analysis of the coefficients of determination ( R 2 ) and of the normalized root mean squared errors (NRMSE) of the linear regressions shows that, below emission rates of 5 g N <sub>2</sub> O‐N ha ?1 d ?1 , the uncertainty of flux estimates strongly increases. The flux detection limit was 3.5 g N <sub>2</sub> O‐N ha ?1 d ?1 , which i </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译:</span><Abstract XMLNS =“http://www.wiley.com/namespaces/wiley”type =“main”xml:lang =“en”> <title type =“main”>抽象</ title> >搜索对于减轻N <SUB> 2 </ SUB> O排放的农业实践以及模型的验证和开发,如果发射估计的不确定性相对于当前水平会降低。这种不确定性具有不同的来源,例如磁通量测量的错误,通过空间缩放测量对现场或区域级别引起的误差,以及通过插值测量之间的时间间隔的排放引起的误差。本文侧重于磁通测量的不确定性以及磁通空间变异性,这是当测量的助熔剂在空间上放大时出现错误的主要原因。该分析专注于2415次通过封闭式腔室方法进行的2415次磁通测量,在监测活动中大约3年。在腔室闭合期间N <亚/亚> o浓度的变化中的统计学上有显着的非线性罕见(8.3%)。进一步分析显着的非线性浓度变化表明,对于正助焊剂,非线性可能并不总是由腔室放置引起的伪像,而是可以在大量情况下反映腔室放置期间磁通量的自然时间变化。线性回归的测定系数( r </ i> 2 )和归一化的根均方平方误差(nrmse)的判定系数表明,低于5g n的排放率<sub> 2 </ sub> O-n ha Δ1</ sup> d ?1 </ sup>,助焊剂估计的不确定度强烈增加。磁通检测限为3.5g n <sub> 2 </ sub> O-n ha 1 </ sup> d ?1 </ sup>,我 </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-35667/'>《Journal of plant nutrition and soil science》</a> <b style="margin: 0 2px;">|</b><span>2018年第1期</span><b style="margin: 0 2px;">|</b><span>共12页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Lammirato Carlo&option=202" target="_blank" rel="nofollow">Lammirato Carlo;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Lebender Ulrike&option=202" target="_blank" rel="nofollow">Lebender Ulrike;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Tierling Jens&option=202" target="_blank" rel="nofollow">Tierling Jens;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Lammel Joachim&option=202" target="_blank" rel="nofollow">Lammel Joachim;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>Research Center Crop Nutrition HanninghofYara International ASAHanninghof 35 48249 Duelmen Germany;</p> <p>Research Center Crop Nutrition HanninghofYara International ASAHanninghof 35 48249 Duelmen Germany;</p> <p>Research Center Crop Nutrition HanninghofYara International ASAHanninghof 35 48249 Duelmen Germany;</p> <p>Research Center Crop Nutrition HanninghofYara International ASAHanninghof 35 48249 Duelmen Germany;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/212.html" title="农业基础科学">农业基础科学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=measuring precision&option=203" rel="nofollow">measuring precision;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=nitrous oxide emissions&option=203" rel="nofollow">nitrous oxide emissions;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=soil–atmosphere interface&option=203" rel="nofollow">soil–atmosphere interface;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=soil cover method&option=203" rel="nofollow">soil cover method;</a> </p> <div class="translation"> 机译:测量精度;氧化亚氮排放;土壤 - 大气界面;土壤覆盖方法; 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