米/亚米黑臭水体应用产品（2022.10月广东局部区域）数据集

常规的地面采样监测难以全面获取河道中心的水质信息，限制了对黑臭水体分布范围的准确划定，监测难度较大。中国水系繁多，水体黑臭成因复杂，且黑臭经常反复，难以根治，因此其监测需求仍然持续增长。本数据集可为黑臭水体长期监测与治理提供大范围、动态、快速的技术手段。本数据集具备黑臭风险评估功能，能迅速识别潜在污染源，为及时治理提供科学依据。
同时，由于黑臭水体成因复杂，尤其是某些轻度黑臭水体和一般水体很难区分，存在所谓的“模糊区”。本数据集依据基尼系数最小化准则以及二分递归分割实现特征和阈值的确定，构建决策树模型进行分类；通过计算隶属度定义叶子结点的类别属性，将其划分为“模糊区”与“置信区”。该方法可以实现较高的分类精度，同时“模糊区”与“置信区”的概念可以有效指导野外核查工作，提升工程化应用效率。

Conventional ground-based sampling monitoring struggles to comprehensively acquire water quality information in the central river channels, which hinders the accurate delineation of the distribution scope of black and odorous water bodies and poses greater monitoring challenges. China boasts a vast network of water systems, the causes of black and odorous water bodies are complex, and such phenomena often recur and are difficult to completely eradicate, so the demand for their monitoring continues to grow. This dataset provides large-scale, dynamic and rapid technical means for the long-term monitoring and governance of black and odorous water bodies. It is equipped with the function of black and odorous water body risk assessment, can quickly identify potential pollution sources, and provides scientific basis for timely governance.

Meanwhile, given the complex causes of black and odorous water bodies, it is particularly challenging to distinguish some slightly black and odorous water bodies from ordinary ones, leading to the emergence of the so-called "fuzzy zones". This dataset determines features and thresholds based on the Gini coefficient minimization criterion and binary recursive segmentation, then constructs a decision tree model for classification. The category attributes of leaf nodes are defined via calculating membership degrees, and the nodes are subsequently divided into two categories: "fuzzy zones" and "confidence zones". This method achieves relatively high classification accuracy, and the concepts of "fuzzy zones" and "confidence zones" can effectively guide field verification operations and enhance the efficiency of engineering applications.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于2022年10月广东省局部区域的黑臭水体应用产品，可能包含相关遥感或监测数据，用于水体环境分析与治理。由于描述信息有限，建议参考官方渠道获取详细内容，以了解其具体覆盖范围、数据格式和应用场景。