Data for chromium remediation experiment

# Chromium 修复实验数据库 ## 概述该数据库包含在沙柱中进行的铬修复实验相关的实验和模拟数据。该数据集包括水文地球化学数据、能量色散 X 射线光谱 (EDS) 数据、水力传导率和光谱诱导极化 (SIP) 数据,以及反应输运模拟结果。 ## 文件描述 ### 1.水文地球化学数据 (hydrogeochemical_data.txt)此文件包含来自案例 1 和案例 2 的沙柱中两个采样点(下部和上部)的水文地球化学数据。数据是在 0-42.7 天的时间内收集的。每个数据集分为五列:- 采样时间(天)- 总铬浓度 (Cr_t, mg/L)-六价铬浓度 (Cr(VI), mg/L)-电导率 (S/m)-pH 值 ### 2.EDS 数据 (eds_scan.txt)此文件包含在案例 1 和案例 2 的实验后从色谱柱下部和上部收集的固体样品的 EDS 线扫描结果。每个数据集分为六列:- 扫描距离- 五种不同元素的扫描强度 (cps) ### 3.工况 2 的水力传导率数据 (hydraulic_conductivity.txt)此文件包含工况 2 的水力传导率数据。数据分为三列:- 测量时间(0-42.7 天)- 下区导水率 (m/d)-上部区域的导水率 (m/d) ### 4.光谱感应极化 (SIP) 数据 (sip_data.txt)此文件包含来自案例 1 和案例 2 列中四个测量通道 (M1-M4) 的 SIP 数据,这些数据是在 0-42.7 天内收集的。每个数据集的组织方式是,第一列是测量频率 (0.01-1000 Hz),后续列包含不同监测时间的相位或电导率振幅数据。 ### 5.案例 1 的模拟浓度数据 (simulation_case1.txt)此文件包含案例 1 在两种校准策略下的模拟六价铬浓度数据。每个数据集分为五列:- 模拟时间(天)- 四个部分的模拟六价铬浓度(M1-M4,从下到上,mg/L) ### 6.案例 2 的模拟浓度数据 (simulation_case2.txt)此文件包含两种校准策略下案例 2 的模拟六价铬浓度数据。每个数据集分为五列:- 模拟时间(天)- 四个部分的模拟六价铬浓度(M1-M4,从下到上,mg/L) ## 数据使用要分析数据,您可以将 CSV 或 Excel 文件导入数据分析工具,例如 Python、MATLAB 或 Excel。光谱数据可以合并到各种拟合模型中,例如 Cole-Cole 模型。作为参考,可以在以下位置找到 Cole-Cole 模型拟合的开源代码实现:[Cole-Cole-fit](https://github.com/m-weigand/Cole-Cole-fit)。此代码可用于获取低频电导率、高频电导率、电荷率、弛豫时间和 Cole-Cole 指数等参数。# Chromium Remediation Experiment Database ## Overview This database contains experimental and simulation data related to chromium remediation experiments conducted in sand columns. The dataset includes hydrogeochemical data, Energy Dispersive X-ray Spectroscopy (EDS) data, hydraulic conductivity and Spectral Induced Polarization (SIP) data, as well as reactive transport simulation results. ## File Description ### 1. Hydrogeochemical Data (hydrogeochemical_data.txt) This file contains hydrogeochemical data from two sampling points (lower and upper) in the sand columns of Case 1 and Case 2. Data were collected over a period of 0–42.7 days. Each dataset is divided into five columns: - Sampling time (days) - Total chromium concentration (Cr_t, mg/L) - Hexavalent chromium concentration (Cr(VI), mg/L) - Electrical conductivity (S/m) - pH value ### 2. EDS Data (eds_scan.txt) This file contains EDS line scan results of solid samples collected from the lower and upper parts of the sand columns after the experiments in Case 1 and Case 2. Each dataset is divided into six columns: - Scan distance - Scan intensities of five different elements (cps) ### 3. Hydraulic Conductivity Data for Case 2 (hydraulic_conductivity.txt) This file contains hydraulic conductivity data for Case 2. The data is divided into three columns: - Measurement time (0–42.7 days) - Hydraulic conductivity of the lower zone (m/d) - Hydraulic conductivity of the upper zone (m/d) ### 4. Spectral Induced Polarization (SIP) Data (sip_data.txt) This file contains SIP data from four measurement channels (M1–M4) in the columns of Case 1 and Case 2, collected over 0–42.7 days. Each dataset is structured such that the first column is the measurement frequency (0.01–1000 Hz), and the subsequent columns contain phase or conductivity amplitude data for different monitoring times. ### 5. Simulated Concentration Data for Case 1 (simulation_case1.txt) This file contains simulated hexavalent chromium concentration data for Case 1 under two calibration strategies. Each dataset is divided into five columns: - Simulation time (days) - Simulated hexavalent chromium concentrations in four sections (M1–M4, from bottom to top, mg/L) ### 6. Simulated Concentration Data for Case 2 (simulation_case2.txt) This file contains simulated hexavalent chromium concentration data for Case 2 under two calibration strategies. Each dataset is divided into five columns: - Simulation time (days) - Simulated hexavalent chromium concentrations in four sections (M1–M4, from bottom to top, mg/L) ## Data Usage To analyze the data, you can import CSV or Excel files into data analysis tools such as Python, MATLAB, or Excel. Spectral data can be incorporated into various fitting models, such as the Cole-Cole model. For reference, an open-source code implementation for Cole-Cole model fitting can be found at: [Cole-Cole-fit](https://github.com/m-weigand/Cole-Cole-fit). This code can be used to obtain parameters such as low-frequency conductivity, high-frequency conductivity, chargeability, relaxation time, and Cole-Cole exponent.