[Spatial-temporal Patterns of Carbon Flows and Scenario Simulation in Resource-based Cities in Dry Areas].

Q2 Environmental Science
Xiao-Min Wang, Xiao-Yan Bu, Ling-Na Du, Zhi-Chang Hong, Jia-Rui Wang
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Abstract

A study on carbon storage and emission in dryland resource cities under land use change was carried out to provide a scientific basis for low-carbon development in dryland resource cities. Taking Shizuishan City, a resource city in the dry zone, as an example, we integrated multi-source data such as station observation, sample testing, remote sensing monitoring, and statistical data. Furthermore, we coupled the InVEST and PLUS-Markov models to analyze the spatial and temporal evolution of land use patterns, carbon emission, carbon storage, and carbon flow in Shizuishan City under the four scenarios of natural development, arable land protection, ecological protection, and economic development in the past 15 years and the future and to identify the driving factors of carbon flow using geoprobes. The results showed that: ① From 2005 to 2020, the change in land use in Shizuishan City caused an increase in carbon emissions, a decrease in carbon stock, and a negative net carbon flow, and changes in carbon emissions, carbon stock, and carbon flow were similar to the spatial characteristics of land use. ② From 2005 to 2035, the net carbon flow under the four scenarios in Shizuishan City was negative, and the ecological protection scenario was more obvious in suppressing the decline of net carbon flow. ③ Slope, DEM, distance to the road, mean annual temperature, and mean annual precipitation were the main factors affecting the spatial differentiation of carbon flow, and the interactions between mean annual temperature and slope as well as slope and DEM were significant. The results of the study provide a reference for the green and low-carbon transformation and sustainable development of resource cities in the "several bends" of the Yellow River and provide scientific support for the construction of low-carbon cities in resource areas in dry zones.

干旱区资源型城市碳流时空格局及情景模拟[j]。
开展土地利用变化下旱地资源城市碳储量与排放研究,为旱地资源城市低碳发展提供科学依据。以干旱区资源型城市石嘴山市为例,整合了站点观测、样本测试、遥感监测、统计数据等多源数据。在此基础上,结合InVEST模型和PLUS-Markov模型,分析了石嘴山市在自然开发、耕地保护、生态保护和经济发展4种情景下近15年及未来土地利用格局、碳排放、碳储量和碳流量的时空演变特征,并利用地质探针识别了碳流量的驱动因素。结果表明:①2005 - 2020年,石嘴山市土地利用变化导致碳排放增加、碳储量减少、净碳流量为负,且碳排放、碳储量和碳流量的变化与土地利用的空间特征相似;②2005 - 2035年,石嘴山市4种情景下的净碳流量均为负,其中生态保护情景对净碳流量下降的抑制作用更为明显。③坡度、DEM、道路距离、年平均气温、年平均降水量是影响碳流空间分异的主要因子,且年平均气温与坡度、坡度与DEM的交互作用显著。研究结果为黄河“几弯”资源型城市绿色低碳转型与可持续发展提供参考,为干旱区资源型城市建设低碳城市提供科学支撑。
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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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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