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Evaluating urban ecological wetland parks using big data analytics and art vision

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Abstract

Excessive energy reliance and uncontrolled exploitation have caused significant environmental damage by prompting experts to advocate for active protection and conservation of Earth's habitats. Preserving urban wetlands is crucial for reducing natural disasters and maintaining city biodiversity. Therefore, this paper addresses the urgent need for active protection and conservation of urban wetlands due to the significant environmental damage caused by excessive energy reliance and uncontrolled exploitation. Establishing a complete urban wetland ecosystem is crucial to ensure the long-term viability of these fragile ecological environments. Using big data and the analytic hierarchy process (AHP), this study proposes a method to evaluate the plant landscape quality of Dongpu National Wetland Park in Luyang, Anhui, China. The proposed approach assesses and prioritizes urban wetland park landscapes by considering important ecological variables such as plant species diversity and wetland water ecology. Expert assessments generate a valid judgment matrix and assign weights to each evaluation index by providing insights into the influence of indicators on the park landscape. Demographic data analysis, including age, gender, education, and occupation, is considered to understand preferences. Based on the results of the evaluation, ten sample plots of Dongpu National Wetland Park in Luyang, Anhui, were classified into four grades (Grade I > 13.5; Grade II > 12–13.5; Grade III > 10.5–12; Grade IV 10.5), with Grades 1–3 accounting for 90% of the total. The evaluation scores confirm the visually appealing plant landscape of the park, with notable locations such as the main entrance, Huxin Square, and Yingying Road standing out for their lush vegetation and distinct ecological characteristics. This study outperforms previous research using a complete evaluation model and the AHP approach, allowing for a systematic assessment of the landscape quality of urban wetland parks. This localized research captures unique biological traits and gives significant insights into park management by concentrating on Dongpu National Wetland Park in Luyang, Anhui, China.

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Funding

This study was funded by Research Team on Cultural Resources and Artistic Expression of Traditional Folk Houses in Lijiang River Basin, Collaborative Innovation Group of Lijiang Culture Research Institute: 20180430.

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  1. Guilin University, Guilin, 541006, Guangxi, China

    Chunchen Lu

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  1. Chunchen Lu
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Correspondence to Chunchen Lu.

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Lu, C. Evaluating urban ecological wetland parks using big data analytics and art vision. Soft Comput 27, 14451–14467 (2023). https://doi.org/10.1007/s00500-023-09036-5

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