首页> 外文会议>International Nitrogen Conference; 20041012-16; Nanjing(CN) >EVALUATING N_2O-SIMULATIONS OF THE DNDC MODEL WITH MEASUREMENT DATA FOR GIS-BASED REGIONALIZATION
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EVALUATING N_2O-SIMULATIONS OF THE DNDC MODEL WITH MEASUREMENT DATA FOR GIS-BASED REGIONALIZATION

机译:基于测量数据的DNDC模型DNDC模型的N_2O模拟评估

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The Sino-German Project between the China Agricultural University and the University of Hohenheim, Germany, focused on sustainable Agriculture in the North China Plain (www.uni-hohenheim.de/chinaproject). One major focus of the project was the establishment of an experiment field near Beijing to investigate different agricultural practices and their impact on yield and environment. Researchers from several departments were involved in the project: Agricultural Economics, Agricultural Informatics, Vegetable Science, Landscape Ecology, Phytomedicine, Plant Nutrition, Plant Production and Soil Science. The second task was to set-up a GIS based Agricultural Environmental Information System (AEIS) for the North China Plain (NCP), which exceeds almost the size of Germany. The major aim of the AEIS for the NCP is to provide information (ⅰ) about agriculture in the region, (ⅱ) about the impact of agricultural practices on the environment and (ⅲ) of simulation scenarios for sustainable strategies. Consequently, the AEIS for the NCP provides information for decision support and therefore could be regarded as a Decision Support System (DSS), too. In this contribution, the focus is on the importance of the evaluation of simulation models, here the process-based DNDC model for N_2O-simulations. It is possible to interface models and GIS for regional modeling. But in most cases, the availability of detailed measurement data for model evaluation and calibration is not available and therefore, regional applications are restricted. By using daily multi-seasonal measurement data of N_2O-fluxes from maize/wheat rotation nearby Beijing, it is possible (ⅰ) to evaluate model simulations, (ⅱ) to calibrate the DNDC model, and (ⅲ) to apply regional GIS-interfaced N_2O-simulations. With the database of the AEIS for the Beijing Municipality, it is possible to estimate the N_2O emission from winter wheat/summer maize rotation which is the dominant crop rotation in the North China Plain.
机译:中国农业大学与德国霍恩海姆大学之间的中德项目重点是华北平原的可持续农业(www.uni-hohenheim.de/chinaproject)。该项目的主要重点是在北京附近建立一个试验田,以调查不同的农业实践及其对产量和环境的影响。来自多个部门的研究人员参与了该项目:农业经济学,农业信息学,蔬菜科学,景观生态学,植物药,植物营养,植物生产和土壤科学。第二项任务是为华北平原建立一个基于GIS的农业环境信息系统(AEIS),其规模几乎超过德国。 AEIS针对NCP的主要目的是提供(ⅰ)有关该地区农业的信息(ⅱ)有关农业实践对环境的影响以及(ⅲ)可持续战略的模拟方案的信息。因此,用于NCP的AEIS为决策支持提供了信息,因此也可以视为决策支持系统(DSS)。在此贡献中,重点是评估仿真模型的重要性,这里是用于N_2O仿真的基于过程的DNDC模型。可以将模型与GIS进行接口以进行区域建模。但是在大多数情况下,无法获得用于模型评估和校准的详细测量数据,因此,区域应用受到限制。通过使用北京附近玉米/小麦轮作的N_2O通量的每日多季节测量数据,可以(ⅰ)评估模型模拟,(ⅱ)校准DNDC模型,以及(ⅲ)应用区域GIS接口的N_2O模拟。通过北京市AEIS数据库,可以估算冬小麦/夏玉米轮作中的N_2O排放量,这是华北平原的主要农作物轮作。

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