A comprehensive porewater isotope model for simulating benthic nitrogen cycling: Description, application to lake sediments, and uncertainty analysis
收藏资源简介：
The provided files accompanies the manuscript "A comprehensive porewater isotope model for simulating benthic nitrogen cycling: Description, application to lake sediments, and uncertainty analysis". All files are provided within zip folders to maximize file transfer. The folders include: Scripts.zip Julia codes needed to run the model (also accessible at https://gitlab.com/p.reichert/Nsediment/-/tree/master/Scripts?ref_type=heads) R scripts ProcessInferenceResults.R -> to process model outputs obtained upon Bayesian inference ProcessPredictionResults.R -> to process model outputs obtained upon prediction (to assess output uncertainty) ProcessSimulationResults.R -> to calculate the depth-integrated rates for the different reactions Data zip folder: Porewater data from the sampling campaign on Lake Lucerne in April 2021, used for the assessment and validation of the model. Concentrations of: O2, NO3, NO2, NH4, SO4. N isotopic composition of NO3 and NH4. Scenarios zip folders: With all model outputs, including results of inference and uncertainty prediction Scenarios considered for the manuscript: Base NarrowEps (prior standard deviation of 1‰ instead of 5‰ for all isotope effects) FixedEps (fixed instead of estimated isotope effects) Widerf (prior standard deviation of 100% instead of 25% for the contributions of anammox and DNRA) EnhBio (faster solute-difussion transport: Dbio = 2 cm2 d-1 instead of 1 cm2 d-1) AnamOff (switched off anammox: fAnam,Den2 = 0; fAnam,side = 0) DNRAOff (switched off DNRA: fDNRA1,Den1 = 0; fDNRA2,Den2 = 0) NitOff (switched off nitrification: kNit1 = 0; fNit1,Nit2 = 0) OneStep (one-step instead of three-step denitrification)
本配套数据集关联手稿《用于模拟底栖氮循环的孔隙水同位素综合模型：模型描述、在湖泊沉积物中的应用及不确定性分析》（A comprehensive porewater isotope model for simulating benthic nitrogen cycling: Description, application to lake sediments, and uncertainty analysis）。所有文件均打包为压缩文件夹以优化传输效率。包含以下文件夹： Scripts.zip 内含运行模型所需的Julia代码（亦可通过链接https://gitlab.com/p.reichert/Nsediment/-/tree/master/Scripts?ref_type=heads获取），以及如下R脚本： - ProcessInferenceResults.R：用于处理贝叶斯推断得到的模型输出结果 - ProcessPredictionResults.R：用于处理预测环节生成的模型输出结果，以评估输出不确定性 - ProcessSimulationResults.R：用于计算不同反应的深度积分速率 Data压缩文件夹： 包含2021年4月琉森湖（Lake Lucerne）采样作业获取的孔隙水数据，用于模型的评估与验证。测定指标包括：O₂、NO₃⁻、NO₂⁻、NH₄⁺、SO₄²⁻的浓度，以及NO₃⁻和NH₄⁺的氮同位素组成。 Scenarios压缩文件夹： 包含全部模型输出结果，涵盖推断结果与不确定性预测结果。本手稿涉及的模拟情景如下： 1. Base（基准情景） 2. NarrowEps：将所有同位素效应的先验标准差由5‰调整为1‰ 3. FixedEps：采用固定同位素效应，而非通过估算得到的同位素效应 4. Widerf：将厌氧氨氧化（anammox）与异化硝酸盐还原为铵（DNRA, Dissimilatory Nitrate Reduction to Ammonium）的贡献占比的先验标准差由25%调整为100% 5. EnhBio：提升溶质扩散输运速率，将Dbio设为2 cm²·d⁻¹（原默认值为1 cm²·d⁻¹） 6. AnamOff：关闭厌氧氨氧化过程，即fAnam,Den2 = 0；fAnam,side = 0 7. DNRAOff：关闭DNRA过程，即fDNRA1,Den1 = 0；fDNRA2,Den2 = 0 8. NitOff：关闭硝化（nitrification）过程，即kNit1 = 0；fNit1,Nit2 = 0 9. OneStep：采用单步反硝化（denitrification）替代三步反硝化过程
