基于PCA-PP模型的农村河道整治方案优选

针对农村河道水质恶化和污泥淤积问题，以南方地区典型农村河道为例，提出了包括水质修复和护岸工程措施在内的河道整治方案，并引入主成分分析-投影寻踪分类模型（PCA-PP模型）优选和评价不同河道整治方案。结果表明，利用PCA将多个同类型指标转化为单个指标，有效避免了同类型指标占据过多权重的问题。PCA-PP模型在优选过程中，充分保留了原始数据信息，结果客观，原理科学，具备很好的应用价值和推广前景。竹炭+植物护岸的河道整治方案水质净化效果好，工程造价低廉，综合效益最优，为其他地区的农村河道治理提供了参考。

Rural River Regulation Scheme Optimization Based on PCA-PP Model

Aiming at the problems of rural river water deterioration and sludge sedimentation, a typical rural river in south of China was taken as example. The river regulation schemes including water treatments and revetment engineering measures were proposed. And then the principal component analysis-projection pursuit classification model (PCA-PP) was used to select and evaluate the different river regulation schemes. The results show that the multiple of the same types of indicators with PCA were transformed into a single index avoided the same type of indicators to occupy overmuch weight effectively. In the optimization process, the PCA-PP model retained the original data information. The results were objective, and the principles were scientific, which have good application values and promotion prospects. Combination of bamboo and plant revetment obtained better purification effect, which was the river regulation scheme with optimal comprehensive benefits and lower construction cost. Therefore, it provides reference for similar rural rivers in other areas that needed to be regulated.