Show simple item record

contributor authorChen, Shiguang
contributor authorSun, Hongwei
contributor authorChen, Xuebin
date accessioned2026-08-20T11:06:48Z
date available2026-08-20T11:06:48Z
date copyright2026/04/06
date issued2026
identifier otherJHYEFF.HEENG-6587.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311709
description abstractAbstractRainwater harvesting (RWH) is a promising strategy for addressing water scarcity, and the optimal design of storage tanks is vital for their efficiency. This study develops a predictive model using machine learning algorithms, specifically Random ...Schematic diagram of the study: the left side illustrates building characteristics that may influence the design of the RWH system tank volume, while the right side presents the machine learning workflow for predicting the optimal tank size.Schematic ...
publisherAmerican Society of Civil Engineers
titlePredicting the Optimal Tank Volume of a Rainwater Harvesting System: A Machine Learning Approach Based on Building Characteristics
typeJournal Article
journal volume31
journal issue3
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/JHYEFF.HEENG-6587
journal fristpage04026008-1
journal lastpage04026008-14
page14
treeJournal of Hydrologic Engineering:;2026:;Volume ( 031 ):;issue: 003
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record