Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Integrating Aerial and 3D Data into a Data-Driven Decision-Making Workflow for Nature-Based Stormwater Solutions

Version 1 : Received: 30 October 2023 / Approved: 30 October 2023 / Online: 1 November 2023 (02:43:24 CET)

A peer-reviewed article of this Preprint also exists.

Edelman, H.; Rosén, L.; Nyman, E.; Leskinen, P. Integrating Aerial and 3D Data into a Data-Driven Decision-Making Workflow for Nature-Based Stormwater Solutions. Buildings 2023, 13, 2983. Edelman, H.; Rosén, L.; Nyman, E.; Leskinen, P. Integrating Aerial and 3D Data into a Data-Driven Decision-Making Workflow for Nature-Based Stormwater Solutions. Buildings 2023, 13, 2983.

Abstract

Urbanization and climate change have increased the need for stormwater management and nature-based solutions. Decisions made at project level impact the emergence of systemic traits of the stormwater network and the functionality of the catchment areas in urban planning. To that end, it is vital to introduce the decision-making tools for analyzing both the utilities and amenities of nature-based solutions (NBS) to increase their adoption to reduce the peak loads in the stormwater system, and to that end, mitigate the impacts of climate change. This paper demonstrates a workflow using drone-based photogrammetry, 3D modeling, and simulation software to generate visual and functional models assisting in informed decision-making in the design of stormwater systems as functional landscape architecture. Using aerial data from drones and modeled design solutions, the proposed workflow simulates rain events, infiltration, evaporation, water flow, and accumulation of stormwater in a way that allows the visual and quantified analysis of detailed landscape architecture designs. The paper provides an example of a rooftop site simulation demonstrating the infiltration and flow of water to the drainage. The visual decision-making method provided can aid in investment decisions for functional landscape design in support of stormwater management.

Keywords

aerial; data; drones; urban; nature-based; photogrammetry; design; software; decision-making; stormwater; management

Subject

Arts and Humanities, Architecture

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