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全文摘要次数: 193 全文下载次数: 349
引用本文:

DOI:

10.11834/jrs.20210295

收稿日期:

2020-07-21

修改日期:

2021-01-05

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基于珞珈一号夜间灯光数据的福建省人为热通量估算
林中立1, 徐涵秋2,3,3, 林从华1
1.福建工程学院 建筑与城乡规划学院;2.福州大学环境与资源学院;3.福州大学遥感信息工程研究所
摘要:

夜间灯光数据是估算人为热通量(AHF)的重要数据,但当前应用最广的DMSP/OLS和Suomi-NPP/VIIRS夜间灯光数据由于受限于粗糙的空间分辨率,而无法刻画城市内部的AHF分布细节。我国2018年6月发射的Luojia 1-01卫星所获取的130 m高空间分辨率夜间灯光数据,则有望解决这一问题。因此本文利用Luojia 1-01夜间灯光数据,通过将统计年鉴中的能源统计数据细化至福建省84个县(市、区),然后与3个夜间灯光指数(NTLnor、HSI、VANUI)进行回归分析,分别构建了基于这3个指数的福建省AHF空间估算模型,并采用交叉验证法对其进行筛选。结果显示:(1)在3个指数中,基于VANUI的乘幂估算模型的R2最高,且RMSE最小,因此精度最高;(2)利用VANUI乘幂估算模型反演得到的2018年福建省年均AHF为0.88 W/m2,其中厦门市的年均AHF最高,达10.98 W/m2,泉州、莆田、福州、漳州等沿海城市次之,年均值在0.98-1.95 W/m2之间,而宁德、龙岩、三明、南平等城市的AHF则较低,均值在0.38-0.46 W/m2之间;(3)Luojia 1-01夜间灯光数据可以揭示城市内部的AHF分异细节。根据用地属性和功能的不同,AHF数值表现为:城市集中商业区>大型市政公共设施区>城市主干道>城市住宅区>近郊住宅区。研究表明,基于Luojia 1-01夜间灯光数据建立的AHF估算模型可以较好地揭示城市尺度AHF的空间分异情况。

Estimation of anthropogenic heat flux of Fujian Province (China) based on Luojia 1-01 nighttime light data
Abstract:

Nighttime light (NTL) data is important data for estimating anthropogenic heat flux (AHF). However, the commonly-used DMSP/OLS and Suomi-NPP/VIIRS NTL data are restricted by their coarse spatial resolution and therefore, cannot exhibit the spatial details of AHF at city scale. Objective: The 130 m high-resolution NTL data obtained by the Luojia 1-01 satellite launched in June 2018 shows a promise to solve this problem. Therefore, this paper aims to construct an AHF estimation model using the NTL data of Luojia 1-01 for Fujian Province based on three indexes, NTLnor (Normalized nighttime light data), HSI (Human Settlement Index), and VANUI (Vegetation Adjusted NTL Urban Index). Method: To determine the best estimation model of AHF, the AHF of 84 county-level cities of Fujian Province has also been calculated using energy-consumption statistics data and then correlated with the corresponding data of three indexes. Result: The results show that (1) based on a 5-fold cross validation approach, VANUI power estimation model achieves the highest R2 along with the smallest RMSE, and therefore has the highest accuracy among the three indexes; (2) According to the VANUI power estimation model, the average annual AHF of Fujian Province in 2018 is 0.88 W/m2, of which Xiamen has the highest average annual AHF of 10.98 W/m2, followed by Quanzhou, Putian, Fuzhou, and Zhangzhou, with the annual average of 0.98-1.95 W/m2, while the figures of Ningde, Longyan, Sanming, and Nanping are relatively low, ranging from 0.38 to 0.46 W/m2; (3) Luojia 1-01 NTL data can reveal the AHF differentiation details at a city scale. The AHF values of different land properties and functions show a follow orders: urban commercial area > large municipal public facility area > urban main road > urban residential area > suburban residential area. Conclusion: Studies have shown that the AHF estimation model developed by Luojia 1-01 NTL data can achieve high accuracy of the city-scale estimation of AHF.

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