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Performance of CH4MOD(wetland) for the case study of different regions of natural Chinese wetland

机译:CH4Mod(湿地)对自然中国湿地不同地区的案例研究

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Reliable national estimates of CH4 emissions from natural wetlands depend on model validation based on site observations. We therefore evaluated the performance of the CH4MODwetiand model in simulating CH4 emissions from 11 representative wetland sites in five regions of China. Model performance analysis showed that this method effectively simulates differences in the CH4 fluxes between different sites and regions. The model efficiency for estimating the daily CH4 fluxes in the northeastern China (NE), Inner Mongolia and northwestern China (NW), the North China plain and the Middle-Lower Yangtze Plain (E) and the Qinghai Tibetan Plateau (SW) was 0.51, 0.20, 0.52 and 0.65, respectively. The efficiency for estimating the annual mean CH4 fluxes in southern China (S) was 0.99. Systematic negative deviation between the simulated and observed CH4 emissions existed in all regions, especially in the NW region, which had a mean deviation (RMD) value of -36.7%. On the national scale, the root mean square error (RMSE), the RMD, the model efficiency (EF) between the simulated and observed seasonal values were 28.7%, -7.8% and 0.93, respectively. The CH4 emissions showed the highest sensitivity to air temperature in the NE and SW regions, and to water table depth in the E region. Based on the sensitivity analysis, future climate warming and wetting are likely to increase the wetland CH4 emissions at different levels in all regions of China. (C) 2017 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
机译:自然湿地的CH4排放的可靠国家估计取决于基于现场观测的模型验证。因此,我们评估了CH4Modwetiand模型在中国五个地区的11个代表湿地站点模拟CH4排放中的表现。模型性能分析表明,该方法有效地模拟了不同部位和地区之间CH4助熔剂的差异。估计中国东北(NE),内蒙古和西北地区(NW),华北平原和中下长江(E)和青海藏高原(SW)的日本CH4势率估算模型效率为0.51 ,0.20,0.52和0.65分别。估算中国南部年平均CH4势率的效率为0.99。在所有区域中存在模拟和观察到的CH4排放之间的系统负偏差,特别是在NW区域中,其平均偏差(RMD)值为-36.7%。在全国范围内,模拟和观察到的季节值之间的根均方误差(RMSE),RMD,模拟效率(EF)分别为28.7%,-7.8%和0.93。 CH4排放显示了NE和SW区域的空气温度最高的敏感性,以及E区域的水台深。基于敏感性分析,未来的气候变暖和润湿可能会增加中国各地区不同水平的湿地CH4排放。 (c)2017中国科学院生态环境科学研究中心。 elsevier b.v出版。

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