论文总字数：20926字

摘 要

ABSTRACT……………………………………………………………1

1. 引言……………………………………………………………2
   1. 研究目的与意义………………………………………………………………2
   2. 人为热排放空间化的国内外现状……………………………………………3
   3. 研究内容及论文框架…………………………………………………………3
      1. 研究内容…………………………………………………………………3
      2. 论文框架…………………………………………………………………4
2. 研究方法和数据………………………………………………5

2.1 总体技术路线…………………………………………………………………5

2.2 研究区概况……………………………………………………………………6

2.3 主要研究方法…………………………………………………………………6

2.3.1人为热来源于估算方法…………………………………………………6

2.3.2 夜间灯光阈值的设定方法………………………………………………7

2.4 数据资料………………………………………………………………………8

1. 区域人为热排放量估算………………………………………9

3.1 工业人为热排放量估算………………………………………………………9

3.2 交通人为热排放量估算………………………………………………………10

3.3 建筑人为热排放量估算………………………………………………………10

3.4 人体新陈代谢人为热排放量估算……………………………………………12

1. 城市人为热排放结果分析……………………………………13

4.1 人居指数的构建………………………………………………………………13

4.1.1 SPOT-VEGETATION-NDVI栅格数据的处理………………………………13

4.1.2 人居指数（HSI）的计算…………………………………………………13

4.2 建立人为热排放空间化模型…………………………………………………14

1. 结论与展望……………………………………………………17

5.1 主要结论………………………………………………………………………17

5.2 创新点…………………………………………………………………………21

5.3 不足与展望……………………………………………………………………21

参考文献……………………………………………………………………………22

致谢…………………………………………………………………………………23

摘要：

本研究根据北京市统计年鉴中获取的各区县能耗指标、生产总值GDP、民用汽车保有量等常规基础统计数据，采用自上而下能源消费清单法估算2013年北京市16个区县的人为热排放量并通过对城市用地面积的统计进一步得到各区县的人为热通量。利用区域年最大归一化植被指数（NDVI）以及设置阈值后提取出的遥感夜间灯光数据（DMSP/OLS）的互补性构建人居指数（HSI）。人居指数反应的人居状况空间分布范围就是人为热排放的主要区域。分别在北京市各区县行政范围内根据人居指数均值与人为热排放总量间存在的正相关关系建立回归方程，从而构建人为热排放量空间化模型，得到1km分辨率下北京市2013年人为热通量空间分布图。结果显示北京市各区县人为热排放总量为1.69×10¹⁸J/a，拼、平均人为热通量为18.92W/m²。人为热栅格数据可以更好的为城市的气候环境研究提供基础数据的支持。

关键词：夜间灯光；人为热；人居指数；空间化

Abstract: This study uses the top-down energy consumption inventory method to estimate the 16 districts and counties in Beijing in 2013 based on conventional basic statistical data such as energy consumption indicators, gross domestic product GDP, and civilian car ownership obtained from the Beijing Statistical Yearbook The anthropogenic heat emission and the anthropogenic heat flux of various districts and counties are further obtained through the statistics of urban land area. The Habitat Index (HSI) is constructed using the complementarity of the regional annual maximum normalized vegetation index (NDVI) and the remote sensing night light data (DMSP / OLS) extracted after setting the threshold. The spatial distribution range of human settlement status reflected by human settlement index is the main area of anthropogenic heat emission. Regression equations were established within the administrative scope of each district and county of Beijing based on the positive correlation between the average human settlement index and the total amount of anthropogenic heat emissions, thereby constructing a spatial model of anthropogenic heat emissions. Spatial distribution diagram of heat flux. The results show that the total anthropogenic heat emissions from various districts and counties in Beijing are 1.69 × 1018J / a, and the average anthropogenic heat flux is 18.92W / m2. Artificial thermal grid data can better provide basic data support for the study of urban climate environment.

Keywords: anthropogenic heat; nighttime light; human settlement index(HIS); spatialization

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