scholarly journals What’s left before participatory modeling can fully support real-world environmental planning processes: A case study review

Author(s):  
Hedelin B ◽  
Gray S ◽  
Woehlke S ◽  
T.K. BenDor ◽  
Singer A ◽  
...  
2020 ◽  
Vol 12 (24) ◽  
pp. 10345
Author(s):  
João Roque Guerrero ◽  
António Teixeira Gomes ◽  
José de Lollo ◽  
Luiz Moschini

In recent decades, with the increasing global need for sustainable development, ecotourism has emerged as one of the most efficient activities that can be used to reconcile economic development with environmental conservation. A growing interest in the ecotourism and ecosystem services provided by landscapes makes such services increasingly necessary within municipal planning processes. This study aims to construct a geoenvironmental model based on geographic information systems (GISs) to spatially identify areas with greater capacity to promote ecotourism, with a practical case study of the city of Brotas, Brazil. The model can produce an integrated analysis of landscape components using geoenvironmental, topographic, and urban data. As a result, four zones were classified according to their ecotourism potential, with 81% of the overall local territory showing great potential, which not only reinforces the territory’s resilience regarding sustainable development, but also demonstrates that ecotourism should be included in discussions related to environmental planning in Brotas, as well as in other municipalities that have ecotourism potential.


2015 ◽  
Vol 25 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Jennifer Tetnowski

Qualitative case study research can be a valuable tool for answering complex, real-world questions. This method is often misunderstood or neglected due to a lack of understanding by researchers and reviewers. This tutorial defines the characteristics of qualitative case study research and its application to a broader understanding of stuttering that cannot be defined through other methodologies. This article will describe ways that data can be collected and analyzed.


Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 818
Author(s):  
Markus Reisenbüchler ◽  
Minh Duc Bui ◽  
Peter Rutschmann

Reservoir sedimentation is a critical issue worldwide, resulting in reduced storage volumes and, thus, reservoir efficiency. Moreover, sedimentation can also increase the flood risk at related facilities. In some cases, drawdown flushing of the reservoir is an appropriate management tool. However, there are various options as to how and when to perform such flushing, which should be optimized in order to maximize its efficiency and effectiveness. This paper proposes an innovative concept, based on an artificial neural network (ANN), to predict the volume of sediment flushed from the reservoir given distinct input parameters. The results obtained from a real-world study area indicate that there is a close correlation between the inputs—including peak discharge and duration of flushing—and the output (i.e., the volume of sediment). The developed ANN can readily be applied at the real-world study site, as a decision-support system for hydropower operators.


Author(s):  
Andrea Galli ◽  
Cosimo Peruzzi ◽  
Ludovica Beltrame ◽  
Alessio Cislaghi ◽  
Daniele Masseroni

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Pen Lister

AbstractThis paper discusses the uses and applications of the Pedagogy of Experience Complexity for Smart Learning (PECSL), a four-tier model of considerations for the design and development of smart learning activities. Using existing mobile apps and relevant activities as illustrative examples, the PECSL is applied to indicate concepts and mechanisms by which useful pedagogical considerations can work alongside user-centred design principles for the design and development of smart learning in urban hyper-localities. Practical application of the model is discussed using real world examples of activities as a basis to demonstrate the potential for manifold opportunities to learn, and plan for experience complexity in a smart learning activity. Case study approaches reflect on aspects of the PECSL in how it might be a useful and pragmatic guide to some of the issues faced when designing digital citizen learning activities in complex urban environments.


2021 ◽  
Vol 11 (10) ◽  
pp. 4617
Author(s):  
Daehee Park ◽  
Cheoljun Lee

Because smartphones support various functions, they are carried by users everywhere. Whenever a user believes that a moment is interesting, important, or meaningful to them, they can record a video to preserve such memories. The main problem with video recording an important moment is the fact that the user needs to look at the scene through the mobile phone screen rather than seeing the actual real-world event. This occurs owing to uncertainty the user might feel when recording the video. For example, the user might not be sure if the recording is of high-quality and might worry about missing the target object. To overcome this, we developed a new camera application that utilizes two main algorithms, the minimum output sum of squared error and the histograms of oriented gradient algorithms, to track the target object and recognize the direction of the user’s head. We assumed that the functions of the new camera application can solve the user’s anxiety while recording a video. To test the effectiveness of the proposed application, we conducted a case study and measured the emotional responses of users and the error rates based on a comparison with the use of a regular camera application. The results indicate that the new camera application induces greater feelings of pleasure, excitement, and independence than a regular camera application. Furthermore, it effectively reduces the error rates during video recording.


2019 ◽  
Vol 8 (6) ◽  
pp. 272 ◽  
Author(s):  
Iq Reviessay Pulshashi ◽  
Hyerim Bae ◽  
Hyunsuk Choi ◽  
Seunghwan Mun ◽  
Riska Asriana Sutrisnowati

Analysis of trajectory such as detection of an outlying trajectory can produce inaccurate results due to the existence of noise, an outlying point-locations that can change statistical properties of the trajectory. Some trajectories with noise are repairable by noise filtering or by trajectory-simplification. We herein propose the application of a trajectory-simplification approach in both batch and streaming environments, followed by benchmarking of various outlier-detection algorithms for detection of outlying trajectories from among simplified trajectories. Experimental evaluation in a case study using real-world trajectories from a shipyard in South Korea shows the benefit of the new approach.


2017 ◽  
Vol 22 (8) ◽  
pp. 391-396 ◽  
Author(s):  
Sylvia Riding ◽  
Nikki Glendening ◽  
Vanessa Heaslip
Keyword(s):  

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