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基于GMOP-PLUS模型的邹城市中心城区蓝绿空间多情景模拟预测

Multi-scenario simulation and prediction of blue and green space in central urban area of Zoucheng city based on GMOP-PLUS model

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【作者】 王洁宁王帅徐健殷立平郑国强

【Author】 WANG Jiening;WANG Shuai;XU Jian;YIN Liping;ZHENG Guoqiang;School of Architecture and Urban Planning, Shandong Jianzhu University;Ecological and Landscape Engineering Technology Innovation Center of the Ministry of Housing and Urban-rural Development, Regional Center of the Yellow River Basin (Shandong Section);Shandong Jianzhu University Design Group Co.,Ltd.;School of Geomatics and Geographic Information, Shandong Jianzhu University;

【通讯作者】 郑国强;

【机构】 山东建筑大学建筑城规学院住房城乡建设部生态与园林工程技术创新中心黄河流域区域中心(山东段)山东建筑大学设计集团有限公司山东建筑大学测绘地理信息学院

【摘要】 为评估PLUS模型在中心城区尺度模拟下的可行性与潜在偏差,本文以邹城市中心城区为研究对象,耦合GMOP与PLUS模型,模拟了2035年规划制约、经济优先、生态涵养与综合发展4种情景下的蓝绿空间格局,并与国土空间总体规划进行系统比对。研究发现:(1)邹城市中心城区空间演变表现为向东拓展、蓝绿灰组团融合特征;(2)生态涵养情景是保障规划蓝图落地的底线路径,规划制约情景是实现高质量、可持续、提升长期综合价值的理想路径;(3)PLUS模型对未利用地、道路绿地及规划人工水系等政策性、工程性用地的模拟存在局限。本文利用GMOP模型提升了PLUS模型的精细化预测能力,但融合政策规则与多源数据仍是城区尺度蓝绿空间模拟预测的发展趋势。

【Abstract】 To evaluate the feasibility and potential biases of the PLUS model when applied at the central urban area scale.Taking the central urban area of Zoucheng city as the study site, this paper coupled the GMOP and PLUS models to simulate blue-green space patterns under four scenarios—planning constraints, economic priority, ecological conservation, and comprehensive development—by 2035.These results were systematically compared with the national territorial spatial master plan.Findings indicate:(1)Spatial evolution in Zoucheng’s central urban area exhibits eastward expansion and integration of blue-green-gray clusters.(2)The ecological conservation scenario represents the baseline pathway for implementing the planning blueprint, while the planning constraints scenario serves as the ideal path for achieving high-quality, sustainable development and enhancing long-term comprehensive value.(3)The PLUS model exhibits limitations in simulating policy-driven and engineering-based land uses such as undeveloped land, roadside green spaces, and planned artificial water systems.This study enhances the PLUS model’s predictive precision through the GMOP model.However, integrating policy rules with multi-source data remains the developmental trend for simulating blue-green space at the urban scale.

【基金】 国家自然科学基金青年基金(51808320);山东建筑大学博士基金(X22059Z)
  • 【文献出处】 测绘通报 ,Bulletin of Surveying and Mapping , 编辑部邮箱 ,2026年04期
  • 【分类号】P208;TU984
  • 【下载频次】56
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