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Dry deposition of reactive nitrogen to different ecosystems across eastern China: A comparison of three community models

机译:中国东部地区不同生态系统的活性氮干沉降:三种群落模型的比较

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The assessment of nitrogen ecosystem loads mostly use the method of sampling observation combined with numerical model to estimate the spatial distribution pattern of nitrogen dry deposition flux. The selection of models is important which directly affects the reliability of the deposition flux results. In this study, the performance of three widely used models (WRF-Chem, EMEP, CMAQ) are compared. The dry deposition fluxes of typical active nitrogen components over eastern China showed uncertainties by a factor of 0.5 - 2 between the oxidized nitrogen (OXN) results of the three models and the observation network while the reduced nitrogen (RDN) simulation results are underestimated by a quarter of the observation reports. These three models show different results on four typical ecosystems: simulation of EMEP got the highest for OXN dry deposition flux on each ecosystem (urban 14.94 ± 4.92kgN · ha~(-1) ·yr~(-1) cropland/grassland 5.53 ± 5.11kgN · ha~(-1) · yr~(-1) forest 4.75 ± 432kgN · ha~(-1)· yr~(-1), water bodies 1.48 ± 1.53kgN · ha~(-1) • yr~(-1)); WRF-Chem has the highest value of RDN on the urban (8.91 ± 6.44kgN · ha~(-1)· yr~(-1)) and water bodies (1.01 ± 1.44kgN · htr~(-1) ·yr~(-1)) while EMEP is highest in cropland/grassland (3.42 ± 3.43kgN· ha~(-1)· yr~(-1)) and forest (2.34 ± 1.94kgN·ha~(-1)·yr~(-1)). CMAQ is in medium range for both OXN and RDN simulations on each ecosystem. Compare with the critical loads, CMAQ gen-erates more exceeded critical load areas than WRF-Chem and EMEP on cropland/grassland and forests ecosystem. For water bodies, WRF-chem and CMAQ showed higher exceeding critical load areas than EMEP. In summary, EMEP generally underestimates while the CMAQ and WRF-Chem model would overestimate the impacts on the ecosystems. So, policy implementation needs special attention accounting the difference of simulation effect with different models.
机译:氮素生态系统负荷的评估大多采用抽样观测的方法结合数值模型来估算氮素干沉降通量的空间分布格局。模型的选择很重要,它直接影响沉积通量结果的可靠性。在这项研究中,比较了三种广泛使用的模型(WRF-Chem,EMEP,CMAQ)的性能。三种模式的氧化氮(OXN)结果与观测网络之间,中国东部典型活性氮组分的干沉降通量显示不确定性,系数为0.5-2,而还原氮(RDN)模拟结果却被低估了。四分之一的观察报告。这三个模型在四个典型的生态系统上显示出不同的结果:EMEP的模拟对每个生态系统的OXN干沉降通量最高(城市14.94±4.92kgN·ha〜(-1)·yr〜(-1)农田/草地5.53± 5.11kgN·ha〜(-1)·年〜(-1)森林4.75±432kgN·ha〜(-1)·年〜(-1),水体1.48±1.53kgN·ha〜(-1)•年〜(-1)); WRF-Chem在城市(8.91±6.44kgN·ha〜(-1)·yr〜(-1))和水体上的RDN值最高(1.01±1.44kgN·htr〜(-1)·yr〜 (-1)),而EMEP最高的是农田/草地(3.42±3.43kgN·ha〜(-1)·yr〜(-1))和森林(2.34±1.94kgN·ha〜(-1)·yr〜 (-1))。对于每个生态系统的OXN和RDN模拟,CMAQ处于中等范围。与临界负荷相比,CMAQ在农田/草地和森林生态系统上产生的超出临界负荷的面积超过了WRF-Chem和EMEP。对于水体,WRF-chem和CMAQ显示的超出临界载荷的区域要比EMEP高。总而言之,EMEP通常会低估,而CMAQ和WRF-Chem模型会高估对生态系统的影响。因此,政策实施需要特别注意考虑不同模型的模拟效果的差异。

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