five

Pilot-Scale Experimental Data for Zeolite-Based Pretreatment in Seawater Reverse Osmosis Systems

收藏
DataCite Commons2026-04-20 更新2026-05-04 收录
下载链接:
https://data.mendeley.com/datasets/jvg8bnfz9f/1
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset presents pilot-scale experimental results evaluating different pretreatment configurations for seawater reverse osmosis (SWRO) systems, with a focus on zeolite-based filtration. It includes measurements from raw seawater (influent) and treated samples across multiple experimental runs, covering methods such as Enhanced Primary Treatment (CEPT), Multimedia Filtration (MF), zeolite filtration, and hybrid systems (CEPT + MF + Zeolite and Zeolite + MF + Ultrafiltration). Key water quality parameters analyzed include Silt Density Index (SDI), turbidity, conductivity, total dissolved solids (TDS), temperature, pH, total hardness, alkalinity, chloride, and sulfate. The dataset is intended to assess the effectiveness of these pretreatment methods in reducing fouling potential and improving feed water quality for membrane desalination, with results indicating that zeolite-based and hybrid treatments significantly reduce SDI while having limited impact on salinity-related parameters.

本数据集呈现了用于评估海水反渗透(seawater reverse osmosis, SWRO)系统不同预处理配置的中试规模实验结果,研究重点为基于沸石的过滤技术。数据集包含多次实验运行中采集的原海水(进水)与处理后水样的测量数据,涉及强化一级处理(Enhanced Primary Treatment, CEPT)、多介质过滤(Multimedia Filtration, MF)、沸石过滤以及混合处理系统(CEPT+MF+沸石过滤、沸石过滤+MF+超滤(Ultrafiltration))等预处理方法。本次分析的核心水质参数包括淤泥密度指数(Silt Density Index, SDI)、浊度、电导率、总溶解固体(total dissolved solids, TDS)、温度、pH值、总硬度、碱度、氯化物与硫酸盐。本数据集旨在评估上述预处理方法在降低膜脱盐系统污染潜力、提升进水水质方面的有效性,实验结果表明,基于沸石的预处理及混合处理工艺可显著降低SDI值,且对盐度相关参数的影响较为有限。
提供机构:
Mendeley Data
创建时间:
2026-04-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作