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夜间光照范围和强度解释了沿海地区人类活动的动态变化。

Nighttime light extent and intensity explain the dynamics of human activity in coastal zones.

作者信息

Mokhtari Zahra, Bergantino Angela Stefania, Intini Mario, Elia Mario, Buongiorno Alessandro, Giannico Vincenzo, Sanesi Giovanni, Lafortezza Raffaele

机构信息

Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126, Bari, Italy.

Department of Economics, Management and Business Law, Laboratory of Applied Economics (LEA), University of Bari Aldo Moro, Largo Abbazia Santa Scolastica 53, Bari, Italy.

出版信息

Sci Rep. 2025 Jan 11;15(1):1663. doi: 10.1038/s41598-025-85917-z.

DOI:10.1038/s41598-025-85917-z
PMID:39799246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11724959/
Abstract

Studying human activity in coastal areas is crucial for urban planning, sustainability, and economic development. However, there is limited evidence of ongoing monitoring of human activities in these areas. Thus, a quantitative analysis of the spatio-temporal changes, trends, and variability of Nighttime light (NTL) in the Italian Coastal Zone over the past decade (2014-2023) was conducted to assess human activity dynamics. The findings of our study indicate the following: (1) NTL increases over the years in both extent and intensity along the coastal zone; (2) NTL extent and intensity vary by season, with the coastal zone being brighter in summer; and (3) a highly heterogeneous NTL pattern was found where some locations became hot spots (significant upward trend) or cold spots (significant downward trend) while others remain unchanged. By explaining the intensification of human activity, this study can provide insight into identifying the patterns of economic development and environmental conditions contributing to more effective planning in coastal zones.

摘要

研究沿海地区的人类活动对于城市规划、可持续发展和经济发展至关重要。然而,目前关于这些地区人类活动持续监测的证据有限。因此,本研究对意大利沿海地区过去十年(2014 - 2023年)夜间灯光(NTL)的时空变化、趋势和变异性进行了定量分析,以评估人类活动动态。我们的研究结果表明:(1)沿海地区NTL的范围和强度多年来均有所增加;(2)NTL的范围和强度随季节变化,沿海地区在夏季更亮;(3)发现NTL模式高度异质,一些地点成为热点(显著上升趋势)或冷点(显著下降趋势),而其他地点保持不变。通过解释人类活动的强化,本研究可为识别经济发展模式和环境条件提供见解,从而有助于沿海地区更有效的规划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d2/11724959/0186bf5ef67e/41598_2025_85917_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d2/11724959/12976f931037/41598_2025_85917_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d2/11724959/acaaad38d8c7/41598_2025_85917_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d2/11724959/5a38366ad787/41598_2025_85917_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d2/11724959/0186bf5ef67e/41598_2025_85917_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d2/11724959/12976f931037/41598_2025_85917_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d2/11724959/acaaad38d8c7/41598_2025_85917_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d2/11724959/5a38366ad787/41598_2025_85917_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d2/11724959/0186bf5ef67e/41598_2025_85917_Fig4_HTML.jpg

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Quantifying Spatiotemporal Changes in Human Activities Induced by COVID-19 Pandemic Using Daily Nighttime Light Data.利用每日夜间灯光数据量化新冠疫情引发的人类活动的时空变化
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