Data for Quantification of Suspended Sediment Concentration Using Machine Learning Models

This data repository is the data used for the paper entitled "Quantification of Suspended Sediment Concentration Using Machine Learning Model". A controlled dataset of approximately 1300 images with SSC values ranging from 1000 mg/L to 150,000 mg/L was developed, incorporating temperature, time of image capture, and solar irradiance as additional features. The images along with the measured suspended sediment concentrations are included.For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to [e-mail]本数据集仓库为论文《基于机器学习模型的悬浮泥沙浓度量化》（"Quantification of Suspended Sediment Concentration Using Machine Learning Model"）的配套研究数据。 本次构建的受控数据集包含约1300张图像，其悬浮泥沙浓度（Suspended Sediment Concentration，SSC）取值范围为1000 mg/L至150000 mg/L，同时纳入水体温度、图像拍摄时刻以及太阳辐照度作为辅助特征。 数据集包含全部图像及实测悬浮泥沙浓度数据。 若对本数据集内容有咨询需求，请联系README.txt文件中列明的通讯作者。 若有管理类事务咨询（如数据移除申请、下载故障等），请发送邮件至[e-mail]