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Spatiotemporal evolution of ecological environment quality and its drivers in the Helan Mountain,China
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作者 HE Yuanrong CHEN Yuhang +5 位作者 ZHONG Liang LAI Yangfeng KANG Yuting LUO Ming ZHU Yunfei ZHANG Ming 《Journal of Arid Land》 2025年第2期224-244,共21页
Understanding the ecological evolution is of great significance in addressing the impacts of climate change and human activities.However,the ecological evolution and its drivers remain inadequately explored in arid an... Understanding the ecological evolution is of great significance in addressing the impacts of climate change and human activities.However,the ecological evolution and its drivers remain inadequately explored in arid and semi-arid areas.This study took the Helan Mountain,a typical arid and semi-arid area in China,as the study area.By adopting an Enhanced Remote Sensing Ecological Index(ERSEI)that integrates the habitat quality(HQ)index with the Remote Sensing Ecological Index(RSEI),we quantified the ecological environment quality of the Helan Mountain during 2010-2022 and analyzed the driving factors behind the changes.Principal Component Analysis(PCA)was used to validate the composite ERSEI,enabling the extraction of key features and the reduction of redundant information.The results showed that the contributions of first principal component(PC1)for ERSEI and RSEI were 80.23%and 78.72%,respectively,indicating that the ERSEI can provide higher precision and more details than the RSEI in assessing ecological environment quality.Temporally,the ERSEI in the Helan Mountain exhibited an initial decline followed by an increase from 2010 to 2022,with the average value of ERSEI ranging between 0.298 and 0.346.Spatially,the ERSEI showed a trend of being higher in the southwest and lower in the northeast,with high-quality ecological environments mainly concentrated in the western foothills at higher altitudes.The centroid of ERSEI shifted northeastward toward Helan County from 2010 to 2022.Temperature and digital elevation model(DEM)emerged as the primary drivers of ERSEI changes.This study highlights the necessity of using comprehensive monitoring tools to guide policy-making and conservation strategies,ensuring the resilience of fragile ecosystems in the face of ongoing climatic and anthropogenic pressures.The findings offer valuable insights for the sustainable management and conservation in arid and semi-arid ecosystems. 展开更多
关键词 ecological environment quality Enhanced Remote Sensing Ecological Index(ERSEI) Principal Component Analysis(PCA) Moran's I centroid migration analysis geographic detector(Geodetector) Helan Mountain
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地表城市热岛时空演变——对夏季热浪时期的关注
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作者 任嘉义 杨俊 +4 位作者 于文博 丛楠 肖向明 夏建红 李雪铭 《Journal of Geographical Sciences》 SCIE CSCD 2024年第6期1065-1082,共18页
Many cities face heat wave(HW) events, combined with the existent surface urban heat island(SUHI) effects. This places pressure on human settlements and sustainable development. However, few studies have investigated ... Many cities face heat wave(HW) events, combined with the existent surface urban heat island(SUHI) effects. This places pressure on human settlements and sustainable development. However, few studies have investigated the SUHI effects from the perspective of HWs. In this study, the summer HWs in Beijing from 2001 to 2021 were calculated, and the evolution of HWs and SUHIs was quantitatively analyzed based on the dynamic nature of the urban-rural boundary. Beijing experienced 27 HWs in the 21 years, including 10 instances in June, four in July, and 13 in August. The SUHI varied during HWs, between 2–3℃ in most years. The highest SUHI occurred in 2019, reaching 3.99℃ and covering the largest area(10,887 km^(2)). The fluctuation in HWs and SUHIs generally displayed the same spatiotemporal pattern, and HWs amplified the SUHIs to a certain extent, with the highest correlation coefficient being 0.44. Additionally, impervious surfaces and cropland contributed most to SUHIs,and night light enhanced SUHIs. Observing the co-evolution of HWs and SUHIs will be helpful for ecological maintenance and urban infrastructure optimization and provide theoretical support for reducing heat risk and improving the human settlement environment. 展开更多
关键词 heat wave surface urban heat island interactive Self-organization algorithm centroid migration BEIJING
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Characteristics Analysis of Urban Space Expansion in Luoyang, China 被引量:2
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作者 Kaiguang Zhang Hongling Meng +1 位作者 Mingting Ba Yanmin Sun 《Journal of Geoscience and Environment Protection》 2022年第1期123-139,共17页
The characteristics of urban space expansion reflect the changes of urban space layout and space structure, as well as the urban developing direction and urban orientation in the future. Based on the remote sensing im... The characteristics of urban space expansion reflect the changes of urban space layout and space structure, as well as the urban developing direction and urban orientation in the future. Based on the remote sensing image data of 1990, 2000, 2010 and 2020, this paper analyzes the urban space expansion characteristics of Luoyang, by using the urban land compaction index, expansion intensity index and centroid distribution in 4 time sections and 3 periods. The results show that: 1) the urban land area of Luoyang has expanded rapidly, the urban planning policy has successfully guided the urban expansion. 2) In the first period, the urban expansion belongs to the rapid expansion type, mainly filling the built-up area and natural expansion to outward;the second period is of high-speed expansion type, the urban expansion mainly enlarges the urban framework, then fills the expanded district, and the influence of urban natural growth factor is very small;the third period belongs to the high-speed expansion type, and the expansion rate is significantly lower than that in the second period, the urban expansion is mainly to fill in the urban framework enlarged in the previous period<span><span><span style="font-family:;" "=""> and</span></span></span><span><span><span style="font-family:;" "=""> continue to enlarge the urban framework, and the influence of urban natural growth factor is very little. 3)</span></span></span><span><span><span style="font-family:;" "=""> </span></span></span><span><span><span style="font-family:;" "="">The urban land centroid gradually migrates to the southeast with the azimuth of 151.47</span></span></span>&#176;<span "="">, the annual migration distance is of 138.29</span><span "=""> </span><span "="">m. The migration rate in the second period is the fastest, which is about 7.43 times that of the first period, and 2.70 times that of the third period. In the first period, the urban land is mainly expanded to southward, with the main azimuth of 201.13<span style="white-space:normal;">&#176;</span>. Compared with the urban land centroid in 2000, the urban land in the second period mainly expands to east-southeast and southward along the azimuths of 141.92<span style="white-space:normal;">&#176;</span> and 154.17<span style="white-space:normal;">&#176;</span> respectively. Compared with the urban centroid in 2010, the urban land in the third period mainly expands in the orientations of southeast and eastward along the azimuth of 96.24<span style="white-space:normal;">&#176;</span> and 133.45<span style="white-space:normal;">&#176;</span>.</span> 展开更多
关键词 Urban Space Expansion Compaction Index Expand Intensity Index Expand Orientation centroid migration Luoyang
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