Novel approach to roof rainwater harvesting and aquifer recharge in an urban environment: Dry and wet infiltration wells comparison

Netzer, Lior; Kurtzman, Daniel; Ben-Hur, Meni; Livshitz, Yakov; Katzir, Roee; Nachshon, Uri

doi:10.1016/j.watres.2024.121183

Water Research

2024

DOI: 10.1016/j.watres.2024.121183

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Novel approach to roof rainwater harvesting and aquifer recharge in an urban environment: Dry and wet infiltration wells comparison

Lior Netzer,

Daniel Kurtzman,

Meni Ben-Hur

et al.

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Cited by 3 publications

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Assessing the performance of various infiltration models to improve water management practices

Vishwakarma,

Yadav,

Kumar

et al. 2024

Paddy Water Environ

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Infiltration plays a key role in stormwater management and irrigation scheduling. A review of previous studies reveals that the effectiveness of infiltration models varies significantly depending on soil characteristics and field conditions. Accurate predictions depend on selecting appropriate models for specific sites because of soil spatial variability. This requires extensive testing and recording of infiltration rates at each location. This study assesses various infiltration rate measurement models to enhance water management efficiency. Infiltration rate measurements were conducted at three sites in Dehradun using a double-ring infiltrometer. Well-established models, such as Philips JR, Green, Ampt, Horton, Kostiakov, modified Kostiakov, and the Soil Conservation Service (SCS) model, were evaluated. Data from infiltration tests were used to calibrate these models, facilitating better irrigation system design and stormwater management. In assessing their effectiveness and efficiency, key evaluation criteria such as Nash–Sutcliffe efficiency (NSE), R-squared (R2), root mean square error (RMSE), mean absolute error (MAE), and mean bias error (MBE) were employed. Our findings highlight the superiority of the Philips JR model, offering the highest overall accuracy with the highest average value R2 = 0.9557 and NSE = 0.9553, lowest MAE = 0.6717 cm/h, MBE = − 0.0160 cm/h and RMSE = 1.0077 cm/h. These results underscore the model’s ability to synthesize infiltration data effectively, even in the absence of direct measurements. This insight positions the Philips JR model as a valuable tool for estimating infiltration rates in similar conditions.

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Assessing the performance of various infiltration models to improve water management practices

Vishwakarma,

Yadav,

Kumar

et al. 2024

Paddy Water Environ

View full text Add to dashboard Cite

show abstract

Advancing urban water autonomy: A Social Life Cycle Assessment of rainwater harvesting systems in Mexico City

Castelán-Cabañas,

Padilla-Rivera,

Muñoz-Villarreal

et al. 2024

Cleaner Environmental Systems

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Rooftop rainwater harvesting a solution to water scarcity: A review

Lepcha,

Kumar Patra,

Ray

et al. 2024

Groundwater for Sustainable Development

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Novel approach to roof rainwater harvesting and aquifer recharge in an urban environment: Dry and wet infiltration wells comparison

Cited by 3 publications

References 42 publications

Assessing the performance of various infiltration models to improve water management practices

Assessing the performance of various infiltration models to improve water management practices

Advancing urban water autonomy: A Social Life Cycle Assessment of rainwater harvesting systems in Mexico City

Rooftop rainwater harvesting a solution to water scarcity: A review

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