The spatial and temporal influence of infrastructure and road dust on seasonal snowmelt, vegetation productivity, and early season surface water cover in the Prudhoe Bay Oilfield

IF 2.7 3区 地球科学 Q2 ECOLOGY Arctic Science Pub Date : 2022-08-11 DOI:10.1139/as-2022-0013
H. Bergstedt, B. Jones, D. Walker, J. Peirce, A. Bartsch, G. Pointner, M. Kanevskiy, M. Raynolds, M. Buchhorn
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引用次数: 2

Abstract

Increased industrial development in the Arctic has led to a rapid expansion of infrastructure in the region. Localized impacts of infrastructure on snow distribution, road dust, and snowmelt timing and duration feeds back into the coupled Arctic system causing a series of cascading effects that remain poorly understood. We quantify spatial and temporal patterns of snow-off dates in the Prudhoe Bay Oilfield, Alaska, using Sentinel-2 data. We derive the Normalized Difference Snow Index (NDSI) to quantify snow persistence in 2019-2020. The Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) were used to show linkages of vegetation and surface hydrology, in relationship to patterns of snowmelt. Newly available infrastructure data was used to analyze snowmelt patterns in relation infrastructure. Results show a relationship between snowmelt and distance to infrastructure varying by use and traffic load, and orientation relative to the prevailing wind direction (up to 1 month difference in snow-free dates). Post-snowmelt surface water area showed a strong negative correlation (up to -0.927) with distance to infrastructure. Results from field observations indicate an impact of infrastructure on winter near-surface ground temperature and snow depth. This study highlights the impact of infrastructure on a large area beyond the direct human footprint and the interconnectedness between snow-off timing, vegetation, surface hydrology, and near-surface ground temperatures.
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普拉德霍湾油田基础设施和道路粉尘对季节性融雪、植被生产力和季初地表水覆盖的时空影响
北极地区工业发展的加快导致了该地区基础设施的迅速扩张。基础设施对积雪分布、道路尘埃、融雪时间和持续时间的局部影响反馈到耦合的北极系统,造成一系列的级联效应,这些效应仍然知之甚少。我们利用Sentinel-2数据量化了阿拉斯加普拉德霍湾油田积雪日期的时空格局。我们推导了归一化差雪指数(NDSI)来量化2019-2020年的降雪持续时间。利用归一化植被指数(NDVI)和归一化水指数(NDWI)显示植被和地表水文与融雪模式之间的联系。利用新获得的基础设施数据分析相关基础设施的融雪模式。结果表明,融雪与基础设施的距离(因使用和交通负荷而变化)以及相对于盛行风向的方向(无雪日期差异可达1个月)之间存在关系。融雪后地表水面积与与基础设施的距离呈较强的负相关(-0.927)。野外观测结果表明,基础设施对冬季近地表地温和雪深有影响。这项研究强调了基础设施对大面积的影响,超出了直接的人类足迹,以及除雪时间、植被、地表水文和近地表地面温度之间的相互联系。
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来源期刊
Arctic Science
Arctic Science Agricultural and Biological Sciences-General Agricultural and Biological Sciences
CiteScore
5.00
自引率
12.10%
发文量
81
期刊介绍: Arctic Science is an interdisciplinary journal that publishes original peer-reviewed research from all areas of natural science and applied science & engineering related to northern Polar Regions. The focus on basic and applied science includes the traditional knowledge and observations of the indigenous peoples of the region as well as cutting-edge developments in biological, chemical, physical and engineering science in all northern environments. Reports on interdisciplinary research are encouraged. Special issues and sections dealing with important issues in northern polar science are also considered.
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