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首页> 外文会议>Annual International Meeting of The American Society of Agricultural and Biological Engineers >Comparison of RZWQM2 and DNDC model in simulating greenhouse gas emission, crop yield and subsurface drainage
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Comparison of RZWQM2 and DNDC model in simulating greenhouse gas emission, crop yield and subsurface drainage

机译：RZWQM2和DNDC模型在模拟温室气体排放，作物产量和地下排水中的比较

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Process-based models are promising tools to investigate the potential impact of agronomic management and climate change on greenhouse gas emissions. In this study, the newly developed subirrigation module and greenhouse gas emission component of RZWQM2 (Root Zone Water Quality Model) were tested and then compared with the DNDC (DeNitrification-DeComposition) model using the measured data from a subsurface drained and irrigated field with a corn-soybean rotation cropping system in Harrow, Ontario. Field measured data included the N_2O and CO_2 flux, soil temperature, soil moisture content, drainage and crop yield from the four-year field experiment (2012 -2015) under four treatments: inorganic fertilization under free drainage (DR-IF), inorganic fertilization under controlled drainage with subirrigation (CDS-IF), solid cattle manure under free drainage (DR-SCM), solid cattle manure under controlled drainage with sub-irrigation (CDS-SCM). The RZWQM2 was evaluated for all the four treatments while theDNDC model was only evaluated under two treatments with free drainage due to its unavailability of controlled drainage and sub-irrigation component. Both models well estimated the soil temperature, but RZWQM2 performed better than DNDC model in simulating the soil water content (SWC) due to the better applicability of Richards' equation than the cascade equation. Simulation of CO_2 emission by both RZWQM2 and DNDC model agreed well with total measured values, but the RZWQM2 simulated CO_2 was in betteragreement with the measured values than DNDC model with both IF and SCM under DR system. Both two models were effective in predicting the grain yield of corn and soybean with PBIAS within 15% and 20% for RZWQM2 and DNDC model, respectively. Overall, although RZWQM2 required experienced calibration and validation work, it gave more consistent and comprehensive predictions than DNDC model.
机译：基于过程的模型是探讨农艺管理和气候变化对温室气体排放的潜在影响的工具。在本研究中，测试了RZWQM2（根区水质模型）的新开发的调节模块和温室气体排放组分，然后使用来自地下排水和灌溉场的测量数据与DNDC（脱硝分解）模型进行比较。在安大略省耙的玉米大豆转动裁剪系统。现场测量数据包括N_2O和CO_2助焊剂，土壤温度，土壤水分含量，从四年田间实验（2012-2015）下的排水和作物产量（2012 -2015）：自由排水下的无机施肥（DR-IF），无机施肥在受控排出（CDS-IF），在自由排水（DR-SCM）下的固体牛粪，通过次灌（CDS-SCM）控制排水下的固体牛粪。对于所有四种处理评估了RZWQM2，而由于其不可用的受控引流和亚灌溉组分，仅在两种处理下进行评估。两种型号均估计土壤温度，但由于Richards等式的更好的适用性，RZWQM2在模拟土壤水分（SWC）方面的模型比Richards的等式更好地进行。 RZWQM2和DNDC模型的CO_2发射仿真良好，符合总测量值，但RZWQM2模拟CO_2与测量值比DNDC模型与DR系统下的IF和SCM都与DNDC模型相比。两种模型都有效地预测RZWQM2和DNDC模型的15％和20％以内的PBIAs的玉米和大豆的谷物产量。总的来说，虽然RZWQM2所需的校准和验证工作，但它比DNDC模型提供了更一致和综合的预测。

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