检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:郭淼[1] 遆超普[1] 蔡祖聪[2] 颜晓元[1]
机构地区:[1]中国科学院南京土壤研究所,南京210008 [2]南京师范大学地理科学学院,南京210046
出 处:《土壤学报》2012年第5期916-923,共8页Acta Pedologica Sinica
基 金:国家自然科学基金创新群体项目(40621001)资助
摘 要:在估算区域温室气体排放量时往往需要利用模型,从可验证的点的排放量扩展至区域排放总量,这一尺度扩展过程中会产生误差。为比较不同扩展方法的误差大小,本研究收集江苏省内稻麦轮作体系水稻田59个样点的与CH4排放相关的信息,以CH4MOD模型模拟了CH4排放,比较了以下种尺度扩展方法的结果:1)取区域内多个点的模型输入参数平均值,计算区域平均排放量;2)以区域内一个代表样点的参数输入模型,计算区域平均排放量。3)根据区域内各模型参数的统计学特征,随机生成100个虚拟点,以其输出结果的平均值为区域平均排放量,此为蒙特卡罗法。研究发现,以真实参数模拟计算的59个样点CH4排放量均值作为基准,则第一和第二种方法的相对误差分别为-19.60%和-19.74%,采用多点代面的蒙特卡罗法可将误差降低至3.29%。对第一和第二种方法的误差来源进行了分析。Models are often used to estimate regional greenhouse gas emissions by scaling up verified point data to a region, and errors may arise in this spatial up-scaling process. To compare the error sizes of different up-scaling methods, we collected input data of 59 sites required by CH4MOD in Jiangsu Province of China to simulate CH4 emission from rice paddies, and applied three upscalling methods : 1 ) Take the average of all input parameters of 59 sites as the input param- eters to model, then calculate the regional CH4 emission, which is average-parameter method; 2) Apply the parameters of one representative sample site to the model, and extend the estimation directly to the regional scale, which is typical-point method; 3 ) Generate 100 virtual sites randomly according to the statistical characteristics of the parameters of 59 samples, then input them to run the model 100 times and get the average of simulated results as the regional CH~ emission, which is the Monte Carlo method. The results showed that, when compared with the average of simulated results of the 59 individu- al sites, the average-parameter method and the typical-point method have a relative error of - 19.60% and - 19.74% , respectively, whereas the Monte Carlo method can effectively reduce the relative error to 3.29%. We also analyzed the er- ror sources of average-parameter method and the typical-point method.
分 类 号:X511[环境科学与工程—环境工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.38