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黄河流域生态保护数字孪生平台构建技术与应用 被引量:1
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作者 余真真 闫莉 +4 位作者 秦奋 孙晓娟 穆威臣 再开鑫 黄解放 《人民黄河》 北大核心 2025年第8期10-14,共5页
为有效支撑黄河流域生态保护科学决策,以数字化、网络化、智能化为主线,针对流域生态环境特征,构建黄河流域生态保护数字孪生平台,设计包含信息化基础设施、数据底板、模型与技术仿真、业务应用等的模型框架。通过对水资源、水生态、水... 为有效支撑黄河流域生态保护科学决策,以数字化、网络化、智能化为主线,针对流域生态环境特征,构建黄河流域生态保护数字孪生平台,设计包含信息化基础设施、数据底板、模型与技术仿真、业务应用等的模型框架。通过对水资源、水生态、水环境监测数据归类整编,建立全流域数据体系。采用一体化数据采集与监测、大数据集成与分析、云计算与边缘计算融合、数字孪生建模与仿真等技术,实现生态环境状况、自然保护地分布、生态流量保障等生态环境要素的数据汇聚呈现。通过平台生态数据可视化展示、生态模拟和生态透视应用实践,展示了黄河流域水功能区划及统计情况、河口三角洲重点保护动植物演化情况、土地利用类型演变情况、黑山峡水利枢纽工程对景泰石林淹没范围,提升了黄河流域生态保护多源数据汇聚治理和科学决策水平。 展开更多
关键词 数字孪生平台 数据底板 生态保护 黄河流域
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Research and Analysis on the Coupling and Coordination of Urban Expansion and Ecological Environment in the Henan Section of the Yellow River Basin
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作者 mu weichen ZAI Kaixin +4 位作者 REN Jiwei GAO Luyao LI Haochen WANG Huihui QIN Fen 《Journal of Geodesy and Geoinformation Science》 2025年第3期17-29,共13页
Since the implementation of the reform and opening-up policy,China has undergone a period of rapid development.However,this urban expansion has been accompanied by significant ecological challenges.Therefore,understan... Since the implementation of the reform and opening-up policy,China has undergone a period of rapid development.However,this urban expansion has been accompanied by significant ecological challenges.Therefore,understanding the relationship between urban expansion and ecological sustainability is crucial for future urban planning.This study analyzes land use data to investigate the spatiotemporal dynamics of urban agglomeration expansion from 2000 to 2020.Using MODIS satellite data,this study constructs a Remote Sensing Ecological Index(RSEI)model to assess ecological quality changes over the past two decades.Additionally,an improved coupling coordination model is applied to examine the interaction between urban expansion and ecological quality and to evaluate the spatiotemporal trends of their coordination.The results indicate that:①From 2000 to 2020,urban expansion in the Henan section of the Yellow River Basin followed a pattern of“growth-growthdecline”.Pattern recognition analysis indicated that both urban agglomerations and individual cities primarily expanded through edge extension and infill development,while enclave-style expansion occurred in only a small portion of the region.②Between 2000 and 2020,the ecological quality of urban agglomerations in the Henan section of the Yellow River Basin showed a slight improvement.RSEI values ranged from 0.4 to 0.7,indicating moderate ecological quality.Ecological quality exhibited a spatial pattern of being higher in the southwest and lower in the northeast.Significant declines in ecological quality were primarily concentrated in urban built-up areas,forming a patch-like distribution.Conversely,notable improvements in ecological quality occurred mainly in the mountainous regions of the southwest and north.③Between 2000 and 2020,the coupling coordination level of urban agglomerations showed an increasing trend.Coupling coordination values ranged from 0.248 to 0.734.Most cities were near an imbalance between urban expansion and ecological quality,while Zhengzhou was the only city to consistently maintain coordinated development over two decades.Spatially,highly imbalanced areas were mainly concentrated in the western and southern Henan sections,particularly in Sanmenxia and Luoyang.Conversely,areas with high coupling coordination were centered around Zhengzhou,showing a radial expansion pattern in recent years. 展开更多
关键词 urban expansion ecological environment response improved coupling coordination model geodetector model
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Spatio-temporal Dynamics and Drivers of Ecological Quality in Yulin City Using the MRSEI Model
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作者 mu weichen HE Zhilin +3 位作者 CHEN Yanglong GAO Dongkai YUE Tianming QIN Fen 《Journal of Resources and Ecology》 2025年第2期340-355,共16页
Urbanization has resulted in growing ecological pressures on cities,necessitating assessments of urban ecological quality.Long-term characterization of regional dynamics and drivers is critical for environmental man-a... Urbanization has resulted in growing ecological pressures on cities,necessitating assessments of urban ecological quality.Long-term characterization of regional dynamics and drivers is critical for environmental man-agement.This study proposes an enhanced ecological quality model(MRSEI)incorporating vegetation cover and EVI rather than just NDVI.The MRSEI model was applied to analyse ecological quality in Yulin City during 2000-2018 using Landsat TM/OLI data on Google Earth Engine.Geographic detectors also quantified anthropo-genic and environmental influences on the study area.The results are summarized as follows:(1)MRSEI showed an average correlation coefficient of 0.840 with other indices,demonstrating higher representativeness than indi-vidual components.The principal component analysis indicated a 12.88%increase in explained variance.MRSEI also exhibited significantly improved identification of roads,villages,and unused lands over RSEI,better matching ground conditions,and suitability for regional ecological assessment.(2)During 2000-2020,the average MRSEI in Yulin City was 0.481,peaking at 0.518 in 2018,indicating general ecological improvement over time.Spatially,conditions were better in the southeast than northwest.While 38.81%of the area showed significant improvement,10.15%exhibited significant deterioration,concentrated in western Dingbian and Jingbian counties,highlighting areas requiring enhanced protection.(3)Ecological conditions in Yulin City remained stable over time.High-high clusters were concentrated in eastern counties(Qingjian,Wubao,Jia,Fugu)and central lower-altitude areas near Yokoyama and Zizhou.Low-low clusters predominated in the northern Yuyang desert and high-altitude western Dingbian regions.(4)Enhanced vegetation cover had the greatest influence in improving Yulin’s ecological quality.Rainfall was the most impactful environmental driver,while precipitation and land use change interactions showed the strongest combined effects.In contrast,air quality had minimal explanatory power in Yulin City.(5)The MRSEI model significantly impacts the ecological assessment of urban areas,thereby enhancing urban ecological moni-toring accuracy.Moreover,our analysis demonstrates applicability to watershed regions,facilitating comprehensive regional ecological assessment and monitoring. 展开更多
关键词 Google Earth Engine improved remote sensing-based ecological indicator temporal and spatial variation geographical detector
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