Evaluation method of ecological quality of landscape architecture considering environmental pollution

To swiftly and precisely evaluate the ecological integrity of landscape design, a methodology that integrates environmental contamination factors into the evaluation of landscape architecture is introduced. Initially, various types of ecological pollution data are analysed, and a set of sensors are used to collect environmental pollution data. Subsequently, based on the collected pollution data and aiming at obtaining ecological pollution information, a monitoring framework for landscape ecological pollution is developed by applying self-organising neural networks. At the same time, a hierarchical index system for evaluating the ecological quality of landscape architecture is established. This system uses the multi-objective linear weighting method to calculate a comprehensive evaluation index, thus enabling a hierarchical evaluation of the ecological quality of landscape architecture. Empirical findings reveal that the proposed technique achieves an evaluation accuracy of 99.32%, while also reducing the duration required for evaluation.

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Publication Details

Journal
International Journal of Environmental Technology and Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijetm.2025.148988
Primary Topic
Urban and spatial planning
Type
article
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article

Evaluation method of ecological quality of landscape architecture considering environmental pollution

Xiang Xiao
International Journal of Environmental Technology and Management
Urban and spatial planning
article

Evaluation method of ecological quality of landscape architecture considering environmental pollution

Xiang Xiao
article en

Abstract

To swiftly and precisely evaluate the ecological integrity of landscape design, a methodology that integrates environmental contamination factors into the evaluation of landscape architecture is introduced. Initially, various types of ecological pollution data are analysed, and a set of sensors are used to collect environmental pollution data. Subsequently, based on the collected pollution data and aiming at obtaining ecological pollution information, a monitoring framework for landscape ecological pollution is developed by applying self-organising neural networks. At the same time, a hierarchical index system for evaluating the ecological quality of landscape architecture is established. This system uses the multi-objective linear weighting method to calculate a comprehensive evaluation index, thus enabling a hierarchical evaluation of the ecological quality of landscape architecture. Empirical findings reveal that the proposed technique achieves an evaluation accuracy of 99.32%, while also reducing the duration required for evaluation.

International Journal of Environmental Technology and ManagementVol. 28(4/5/6)
Zhejiang Industry Polytechnic College (CN)
Openalex Percentile: Top 72%
Urban and spatial planning
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