Optimized Filtrations for Stormwater Quality Improvement by Porous Media–Biochar Applications: Column Experiments and Inverse Modeling

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Vydáno v:Water vol. 17, no. 9 (2025), p. 1372
Hlavní autor: Amin, Preota Sumiaya
Další autoři: Chu-Lin, Cheng, Hwangbo Myung, Kim Jongsun
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MDPI AG
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022 |a 2073-4441 
024 7 |a 10.3390/w17091372  |2 doi 
035 |a 3203220492 
045 2 |b d20250101  |b d20251231 
084 |a 231641  |2 nlm 
100 1 |a Amin, Preota Sumiaya  |u School of Earth, Environmental and Marine Sciences, University of Texas Rio Grande Valley, Edinburg, TX 78539, USA; myung.hwangbo@utrgv.edu (M.H.); jongsun.kim@utrgv.edu (J.K.) 
245 1 |a Optimized Filtrations for Stormwater Quality Improvement by Porous Media–Biochar Applications: Column Experiments and Inverse Modeling 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Stormwater reuse plays a critical role under changing climates and increasing water demands. This study investigates the removal efficacy of lead (Pb2+) and ammonia (NH3) using sand and rice husk (RH) biochar for potential stormwater quality improvements and treatments. Column experiments combined with HYDRUS inverse modeling were conducted to optimize adsorption isotherms from breakthrough curves. Among linear and non-linear models, the Langmuir and Freundlich models performed better for sand and biochar, respectively. RH biochar showed much higher adsorption capacity of both Pb2+ (4.813 mg/g) and NH3 (6.188 mg/g). In contrast, sand showed a relatively limited adsorption capacity for Pb2+ (0.118 mg/g) and NH3 (0.104 mg/g). This can be contributed to higher pore size distribution, surface area, and the presence of different functional groups of biochar. The optimized adsorption coefficients and adsorption capacity parameters of sand and RH biochar by inverse modeling provided useful input for improving field designs. These findings will enhance the development of the best management practices (BMPs) for managing heavy metal and solute pollution in groundwater or stormwater low-impact development (LID) infrastructure systems. 
653 |a Water quality 
653 |a Artificial wetlands 
653 |a Perfluoroalkyl & polyfluoroalkyl substances 
653 |a Experiments 
653 |a Carbon 
653 |a Temperature 
653 |a Adsorption 
653 |a Developing countries--LDCs 
653 |a Biomass 
653 |a Ammonia 
653 |a Packaging 
653 |a Hydraulics 
653 |a Stormwater 
653 |a Aquifers 
653 |a Parameter estimation 
700 1 |a Chu-Lin, Cheng  |u School of Earth, Environmental and Marine Sciences, University of Texas Rio Grande Valley, Edinburg, TX 78539, USA; myung.hwangbo@utrgv.edu (M.H.); jongsun.kim@utrgv.edu (J.K.) 
700 1 |a Hwangbo Myung  |u School of Earth, Environmental and Marine Sciences, University of Texas Rio Grande Valley, Edinburg, TX 78539, USA; myung.hwangbo@utrgv.edu (M.H.); jongsun.kim@utrgv.edu (J.K.) 
700 1 |a Kim Jongsun  |u School of Earth, Environmental and Marine Sciences, University of Texas Rio Grande Valley, Edinburg, TX 78539, USA; myung.hwangbo@utrgv.edu (M.H.); jongsun.kim@utrgv.edu (J.K.) 
773 0 |t Water  |g vol. 17, no. 9 (2025), p. 1372 
786 0 |d ProQuest  |t Publicly Available Content Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3203220492/abstract/embedded/J7RWLIQ9I3C9JK51?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3203220492/fulltextwithgraphics/embedded/J7RWLIQ9I3C9JK51?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3203220492/fulltextPDF/embedded/J7RWLIQ9I3C9JK51?source=fedsrch