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Cleanlet: a smart app for enhancing urban flood resilience through automated stormwater inlet management
Journal article   Open access   Peer reviewed

Cleanlet: a smart app for enhancing urban flood resilience through automated stormwater inlet management

Nirajan Adhikari and Franco Montalto
Journal of hydroinformatics
18 Dec 2025
url
https://doi.org/10.2166/hydro.2025.099View
Published, Version of Record (VoR) Open

Abstract

Cleanlet app green infrastructure inlet cleaning inlet clogging PCSWMM modeling urban flooding
Urban pluvial flooding, a growing challenge due to increasingly intense precipitation, occurs when stormwater runoff exceeds drainage system capacities in urban areas. This type of flooding is distinct from fluvial and coastal flooding, which are caused by overflowing rivers and high tides, respectively. Traditional grey infrastructure and modern green infrastructure methods have been implemented to manage urban stormwater, though their efficiency is often hindered by clogged inlets. The Cleanlet app was developed to address this issue by integrating real-time weather data and automation for stormwater inlet cleaning, offering timely notifications when rainfall thresholds are exceeded. Using an application programming interface developed by the National Weather Service that provides real-time rainfall data and Firebase for backend functionality, the app facilitates crowd-sourced just-in-time inlet cleaning. This paper presents the app's architecture, its functionality (including threshold setting and automated notifications), and a case study demonstrates the app's performance during a storm event, illustrating its potential to enhance urban flood mitigation efforts.

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#14 Life Below Water
#13 Climate Action
#11 Sustainable Cities and Communities
#9 Industry, Innovation and Infrastructure
#6 Clean Water and Sanitation
#3 Good Health and Well-Being
#2 Zero Hunger

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Web of Science research areas
Computer Science, Interdisciplinary Applications
Engineering, Civil
Environmental Sciences
Water Resources
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