中国降水酸度预测模型

Model for predicting the acidity of precipitation in China.

利用逐步多元线性回归方法建立了中国降水酸度预测模型。该模型包括：大气中二氧化硫、氮氧化物和总悬浮颗粒物的浓度、单位面积二氧化硫排放量这四个时间和空间变量；地理位置横向坐标、降雨量和辐射强度这三个空间变量。该模型通过回顾检验具有较好的预测精度并在假设未来中国环境状况的基础上，对降水酸度的分布进行了预测。该模型是在地理信息系统工具软件ＡＲＣ／ＩＮＦＯ支持下运行的，其预测方法及结果具有空间特性。

Model for predicting acidity of precipitation in China is built with stepwise linear multi-variation regression approach,which involves four spatial and time variations:the concentractions of sulfur dioxide, nitrogen oxide and total suspended particulate matter and the emission amount of sulfur dioxide per square meter; and three spatial variations: x-coordination of geographic position, precipitation amount and radiant intensity. This model runs with the support of ARC/INFO,which is a tool software of Geographic Information System(GIS) and holds spatial characteristics.