Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach

Exploring the spatiotemporal variations in regional rainwater harvesting potential resilience and actual available rainwater using a proposed method framework

Rainwater harvesting potential provides a basis for alleviating regional drought and water shortages. The resilience of rainwater harvesting potential is directly related to the sustainable level of actual available rainwater. Thus, SWAT model was combined with the proposed rainwater harvesting potential evaluation model to quantify rainwater harvesting potential, its resilience and actual available rainwater in the study area. The results showed that: (1) restoration of forest and grass increased the rainwater resource potential in the study area by 12.41 %, especially in the northeast, central and southwest of the study area. Although the surface runoff increased slightly in the past 20 years, it remained stable at 28.62 % of rainwater harvesting potential, which was benefited from the rainwater harvesting potential resilience to maintain the component stability; (2) rainwater harvesting potential resilience in the study area increased from class II to class III, which was closely related to the 17.93 % increase in the resilience intensity of the study area to resist external interference; and (3) surface runoff and net soil moisture content were the main components affecting the spatiotemporal variation of actual available rainwater, and lateral flow was also the main component affecting the spatial variation of actual available rainwater. In the past 20 years, the actual available rainwater has been increasing, and its conversion rate exceeded 89 %. The high level of actual available rainwater has been expanding to the western region with dense grassland coverage. This study provides a scientific basis for clarifying the sustainable utilization level of rainwater.

Building Information Modelling (BIM) and the impact on landscape: A systematic review of evolvements, shortfalls and future opportunities

The last decade has notably witnessed a major impact on our climatic characteristics and way of living across urban and rural areas. Following the intensified effects of the climate crisis as well as the crisis of the COVID19 pandemic, this paper aims to cross silos and explore how the sectors of landscape, digital transformation and the built environment can support a resilient future. In the built environment, the impact of digital tools such as Building Information Modelling (BIM) can be recognised across many processes to deliver better value, improve productivity and drive innovative solutions. It can however be noted that most efforts have looked into the impact of BIM at a micro scale (e.g. buildings and developments) with limited focus at the macro scale (e.g. landscape design and climate change). This paper focuses on the digital technology innovations through the lens of the landscape and the exploration of how such tools could contribute to the form of planning and landscape design. It aims to lay a critical review of the impact of BIM on the landscape with insightfully pointing out evolvements, shortfalls and future opportunities. The paper adopts a hybrid approach that includes a systematic selection of research papers focusing on landscape with particular emphasis on climate change, planning and urban design between 2010 and 2021. Findings suggest that, with relation to BIM's impact on the landscape, most efforts have focused on planning and the small residential scale. Findings also showed that there are limited efforts to investigate landscape design and urbanism and the ways in which digitalization can support sustainable development in open spaces. The area of climate change is significantly overlooked within BIM, raising concerns on the lack of current research on such a critical topic. Using the knowledge from BIM technology, the study provided evidence on the correlation with the landscape and climate change. Evidence demonstrates there is limited connection between BIM and landscape and therefore the study discusses how such tools can improve the understanding of the landscape idea as well as support the creation and visualization of environmentally friendly landscape designs. Future work includes looking into many of the highlighted trends as a result of the study with further investigation on the role that stakeholders can play as part of the digital transformation on landscape.

Methodology for Determining Sustainable Water Consumption Indicators for Buildings

The objective of this study was the definition and determination of sustainable water consumption indicators for activity categories, as well as the evolution of water consumption in commercial buildings. These indicators were determined through statistical analyses using Shewhart charts. Within a broader scope, the research proposed a methodology to automate sustainable management of water consumption in building operation using BIM–IoT–FM integration. The scientific rigor of the methodology was based on the precepts of design science research. The methods proposed for the construction of functionalities and the application of the reference indicators provided an optimized analysis of water consumption and the detection of excess consumption and leaks. The methodology, implemented in an online prototype, AquaBIM, could deliver a significant advance for building management. A conceptual test of AquaBIM evaluated the consumption indicators and validated our methodology through its application in a commercial building. The building consumption analyses showed a potential for approximately 15% savings. In addition, five requirements of the international sustainability certification AQUAHQE were met. The results of our research provide an innovative approach for the automation of sustainable building management and could be expanded to monitor and report on the consumption of other critical resources such as electricity and gas.