An innovative method for estimating settling velocity of particles in stormwater using absorbance measurements and modelling

S. Haghighatafshar, Emma Hallinger, Daniel Espinoza, Basel Al-Rudainy
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Abstract

The purpose of the study was to develop a simple and rapid method for measuring the average settling velocity of particles in stormwater ponds. Water samples with suspended particles were collected from the bottom of a stormwater pond in Lund, Sweden. The absorbance in various samples was measured over 24 h (at 600 nm wavelength) and then translated into total solids concentrations. A one-dimensional model based on the Mason–Weaver equation was coded in Python and solved. The absorbance measurements were used to calibrate the model, thereby quantifying settling velocities and dispersion coefficients for samples from different zones of the stormwater pond. The quantified settling velocities ranged from 40 to 200 mm/h for fast-settling particles and from 2 to 8 mm/h for slow-settling particles. The developed methodology provided a mass estimate of the two modelled particle groups (i.e., fast- and slow-settling particles). Based on the model estimates, fast-settling particles dominated all samples, constituting 70–90% of the total solid mass. Due to its simplicity and inexpensiveness, this methodology is a potential alternative to more demanding and complicated methodologies used for measuring particle velocities in sedimentation systems.
利用吸光度测量和建模估算雨水中颗粒沉降速度的创新方法
这项研究的目的是开发一种简单快速的方法,用于测量雨水池塘中颗粒的平均沉降速度。研究人员从瑞典隆德的一个雨水池塘底部采集了含有悬浮颗粒的水样。在 24 小时内测量了各种样本的吸光度(波长为 600 纳米),然后将其转化为总固体浓度。基于 Mason-Weaver 方程的一维模型用 Python 编码并求解。吸光度测量结果用于校准模型,从而量化雨水池不同区域样本的沉降速度和分散系数。快速沉降颗粒的量化沉降速度为 40 至 200 毫米/小时,慢速沉降颗粒的量化沉降速度为 2 至 8 毫米/小时。所开发的方法提供了两个模型颗粒组(即快速沉降颗粒和慢速沉降颗粒)的质量估算。根据模型估算,快速沉降颗粒在所有样本中占主导地位,占固体总质量的 70-90%。这种方法简单易行,可以替代测量沉淀系统中颗粒速度的复杂方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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