A dataset of monthly light pollution indexes of rivers in China

Yesen Liu, Shengzi Chen, Yuanyuan Liu, Min Liu, Hancheng Ren
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引用次数: 0

Abstract

This paper provides a dataset of monthly river pollution index from April 2012 to October 2021 in China based on the published HydroSHEDS dataset and the monthly composite data of NPP-VIIRS night light. Firstly, we extracted the river sections in China from HydroSHEDS, and corrected unreasonable river sections in accordance with the authoritative river data. Secondly, we overlyed the river sections layer and NPP-VIIRS grid to identify the pixels flowing through the water system, and extracted the value of each pixel from the NPP-VIIRS grid. Then, taking the 10 × 10 km grid as the unit, comprehensively considering the flow, brightness and river length of each unit, we designed the river light pollution indexes, and calculated the monthly river light pollution index of each unit. Finally, we obtained a dataset of monthly light pollution index of rivers with the resolution of 10 × 10 km. As the first dataset of river light pollution, this dataset reflects the temporal and spatial distribution and evolution pattern of river light pollution in China, and it can provide reference for river development degree and interference degree evaluation, light pollution analysis and other research.
中国河流月光污染指数数据集
本文基于已发布的HydroSHEDS数据集和NPP-VIIRS夜光月复合数据,提供了2012年4月至2021年10月中国月度河流污染指数数据集。首先,我们从HydroSHEDS中提取了中国的河段,并根据权威的河流数据对不合理的河段进行了校正。其次,我们覆盖了河段层和NPP-VIIRS网格,以识别流经水系的像素,并从NPP-VIIRS网格中提取每个像素的值。然后,以10×10km网格为单元,综合考虑各单元的流量、亮度和河流长度,设计了河流光污染指标,并计算出各单元的月度河流光污染指数。最后,我们获得了一个分辨率为10×10km的河流月光污染指数数据集。作为第一个河流光污染数据集,该数据集反映了我国河流光污染的时空分布和演变模式,可为河流发展程度和干扰程度评估提供参考,光污染分析等研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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