昆明国家湿地公园冬春季植物色彩量化分析与评价
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国家自然科学基金项目“滇池流域水岸带景观演变及生态安全的影响研究”(编号:51868028)


Quantitative Analysis and Evaluation of Plant Color in Winter and Spring in Kunming National Wetland Park
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    摘要:

    国家湿地公园作为湿地保护与利用的核心举措,植物色彩是评价其景观质量、指导其规划设计的重要指标。以昆明市南滇池国家湿地公园和捞渔河国家湿地公园为研究对象,从中选取20个典型样地,对其冬春季植物景观进行色彩量化分析,采用美景度评价法,建立预测模型,筛选影响显著的色彩因子,以期为西南地区湿地公园植物景观设计提供参考。研究表明:(1)冬季植物景观中橙黄色(H3)占比高达59.91%,春季则转向以黄色(H4)和黄绿色(H5)为主,整体饱和度和明度也有所下降。(2)国家湿地公园整体美景度平均值为0.00,表现一般。冬季植物景观美景度评价普遍高于春季,南滇池的植物景观质量略高于捞渔河。(3)各色彩因子对美景度影响的显著性顺序依次是:色相指数>绿色比例>明度指数>色相对比度>色彩多样性。其中色相指数、明度指数与美景度呈负相关,色相对比度、色彩多样性指数、绿色比例与美景度呈正相关。

    Abstract:

    As a core wetland conservation and utilization strategy, the national wetland park considers plant color a crucial indicator for evaluating landscape quality and guiding its planning and design. This study focuses on the Nan Dianchi and Laoyuhe National Wetland Parks in Kunming, 20 typical sample plots were selected for quantitative color analysis of their plant landscapes during winter and spring. The Scenic Beauty Estimation (SBE) method was employed to establish a predictive model and identify significant influencing color factors. This research aims to provide references for designing plant landscapes in wetland parks in the southwestern region. The study reveals: (1) In winter, the landscape is predominantly characterized by orange-yellow hues (H3), which account for up to 59.91%, while in spring, it transitions to primarily yellow (H4) and yellow-green (H5), with a decrease in overall saturation and brightness. (2) The average scenic beauty score for the national wetland parks is 0.00, indicating moderate performance. The scenic beauty of winter plant landscapes generally rates higher than that of spring, with Nandianchi slightly outperforming Laoyuhe. (3) The order of significance of each color factor on scenic beauty, from most to least influential, is hue index, green ratio, brightness index, hue contrast, and color diversity. The hue and brightness indexes correlate negatively with scenic beauty, whereas hue contrast, color diversity index, and green ratio correlate positively.

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  • 在线发布日期: 2025-01-24
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