Article
Environmental Sciences
Rui Silva, Ana Cristina Carvalho, Susana Cardoso Pereira, David Carvalho, Alfredo Rocha
Summary: Urban heat islands are a potential hazard for urban populations, especially during heatwaves. Lisbon, a medium-size city, is frequently affected by high-temperature heatwaves. This study evaluates the urban heat island effect in Lisbon under future climate scenarios, finding that irrigation can mitigate the anthropogenic heat.
Article
Environmental Sciences
Rui Silva, Ana Cristina Carvalho, Susana Cardoso Pereira, David Carvalho, Alfredo Rocha
Summary: This study evaluates the changes of urban heat island (UHI) within Lisbon and finds that the urban heat island intensity (UHII) is expected to increase in the future century, mainly due to the introduction of urban land use land cover (LULC) with reduced green fraction during city consolidation.
Article
Construction & Building Technology
Pengyuan Shen, Meilin Wang, Junhuan Liu, Yuchen Ji
Summary: This study evaluates the impact of climate change on urban climate by coupling the UHI model with projections from various GCMs. The results show that considering the UHI effect significantly improves the prediction accuracy of air temperature. The projections for Shenzhen from 2020 to 2099 indicate a significant reduction in heating degree days and an increase in cooling degree days, which will have considerable impacts on building energy use in the urban area.
ENERGY AND BUILDINGS
(2023)
Review
Environmental Sciences
Giulia Ulpiani
Summary: This paper conducts a systematic review of the existing knowledge on the link between urban heat island (UHI) and urban pollution island (UPI) since 1990, analyzing results from 16 countries and 11 climatic zones. By examining methodological and experimental trends, geographical dependencies, and research gaps, the paper outlines opportunities and challenges towards disentangling and mitigating these phenomena. Detailed content analysis according to five prominent topics provides a blueprint for coping strategies and precautions in urban design.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Alberto Previati, Jannis Epting, Giovanni B. Crosta
Summary: The study introduces a holistic city-scale 3D FEM model to investigate potential thermal management applications in the Milan metropolitan area, focusing on the formation of subsurface urban heat islands and the impact of natural and anthropogenic factors. Through simulation analysis, the study reveals the heat sources and geothermal potential of the urban subsurface.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Construction & Building Technology
Jie Liu, Lang Zhang, Qingping Zhang, Guilian Zhang, Jiyan Teng
Summary: The study found that increasing urban green space is crucial for mitigating the urban heat island effect, with the morphology and distribution of green spaces impacting the effectiveness of this mitigation. Additionally, the choice of future land use scenarios plays a key role in reducing the urban heat island effect. By properly allocating urban land and optimizing green spaces, it is possible to effectively reduce the urban heat island effect.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Meteorology & Atmospheric Sciences
B. M. Steensen, L. Marelle, O. Hodnebrog, G. Myhre
Summary: Urbanization and global warming have significant impacts on the environment, particularly on precipitation patterns and extreme precipitation events. This study examines the relationship between Urban Heat Island (UHI) effect and precipitation changes in two megacities, Paris and Shanghai, using a regional convection-permitting model. The results show that urban-induced precipitation is expected to decrease in a warmer future climate, mainly due to reduced summer precipitation. The study highlights the importance of future urban planning in mitigating the damage caused by extreme precipitation events.
Review
Green & Sustainable Science & Technology
Alireza Karimi, Pir Mohammad, Antonio Garcia-Martinez, David Moreno-Rangel, Darya Gachkar, Sadaf Gachkar
Summary: The collection of research conducted over the past decade on urban heat islands and their mitigation strategies reflects new approaches in urban design and planning. Studies in humid subtropical, hot summer Mediterranean, and temperate oceanic climates have the largest share in researching ways to reduce urban heat islands. Measures such as urban parks, urban trees, and green roofs have played a critical role in mitigating urban heat islands.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Review
Environmental Sciences
N. Nazarian, E. S. Krayenhoff, B. Bechtel, D. M. Hondula, R. Paolini, J. Vanos, T. Cheung, W. T. L. Chow, R. de Dear, O. Jay, J. K. W. Lee, A. Martilli, A. Middel, L. K. Norford, M. Sadeghi, S. Schiavon, M. Santamouris
Summary: Urban overheating, driven by global climate change and urban development, poses a major challenge to urban livability and sustainability. Comprehensive assessments and interdisciplinary measures are needed to address this issue.
Article
Construction & Building Technology
Zhi-Hua Wang
Summary: In the past decades, research on urban heat island (UHI) phenomenon has made significant progress, but the oversimplification and inadequacy of the urban-rural dichotomy in its definition are becoming increasingly apparent. This study conducts a comprehensive investigation and proposes a new paradigm that treats the entire urban environment as a complex dynamic system, expanding the boundaries of traditional urban environmental research.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Environmental Sciences
Ahmet Koc, Ahmet Caf, Canan Koc, Devrim Turkan Kejanli
Summary: Due to urbanization, irregular urban topography negatively affects urban climate and leads to the formation of urban heat islands. This study used remote sensing methods and satellite/terrain data to analyze the spatial and temporal distribution of potential urban heat islands in Diyarbakir province, Turkey. The results show that the area with potential heat islands has increased over the years, and the areas with the highest potential are located near the city center and in topographically hollow areas.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Eberhard Parlow
Summary: This paper highlights the complexity and pitfalls of thermal infrared data analysis in urban heat island studies. Authors often jump into UHI research without fully understanding the phenomenon, leading to incorrect conclusions and results. Proper correction of data, consideration of signal source area, and understanding of radiation and heat fluxes are crucial for accurate UHI studies.
Article
Environmental Sciences
Nina Dudorova, Boris D. Belan
Summary: This paper proposes a quantitative model for calculating the intensity of urban heat island and identifies anthropogenic heat emissions and absorption of shortwave radiation by urban underlying surface as the main contributors to the formation of heat island in Tomsk.
Article
Biodiversity Conservation
Aliihsan Sekertekin, Elaheh Zadbagher
Summary: This study aimed to simulate the future distribution of Land Surface Temperature (LST) and evaluate Surface Urban Heat Island (SUHI) based on impervious surface area in Zonguldak, Turkey. The analysis found high correlation between LST and NDVI and NDBI, leading to the development of a mathematical model for LST retrieval. The results indicated that future SUHI distribution is closely related to impervious surface area, and urbanization may lead to a dramatic increase in SUHI unless proper urban planning is implemented.
ECOLOGICAL INDICATORS
(2021)
Article
Construction & Building Technology
E. (Eva) Stache, B. (Bart) Schilperoort, M. (Marc) Ottele, H. M. (Henk) Jonkers
Summary: Urban heat island is a serious threat to urban well-being, this study experimentally quantifies the role of different urban materials and vegetation types in surface energy balance. Significant thermal behavior differences were found among different vegetation surfaces, with moss being the most effective in preventing urban heat island.
BUILDING AND ENVIRONMENT
(2022)
Review
Green & Sustainable Science & Technology
Zhifu Mi, Dabo Guan, Zhu Liu, Jingru Liu, Vincent Viguie, Neil Fromer, Yutao Wang
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Environmental Studies
N. Coulombel, V. Boutueil, L. Liu, V. Viguie, B. Yin
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2019)
Article
Environmental Sciences
Moussa Sofiane Karoui, Fatima Zohra Benhalouche, Yannick Deville, Khelifa Djerriri, Xavier Briottet, Thomas Houet, Arnaud Le Bris, Christiane Weber
Article
Green & Sustainable Science & Technology
S. Grafakos, G. Viero, D. Reckien, K. Trigg, V. Viguie, A. Sudmant, C. Graves, A. Foley, O. Heidrich, J. M. Mirailles, J. Carter, L. H. Chang, C. Nador, M. Liseri, L. Chelleri, H. Orru, K. Orru, R. Aelenei, A. Bilska, B. Pfeiffer, Q. Lepetit, J. M. Church, M. Landauer, A. Gouldson, R. Dawson
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2020)
Article
Environmental Sciences
Emilien Alvarez-Vanhard, Thomas Houet, Cendrine Mony, Lucie Lecoq, Thomas Corpetti
REMOTE SENSING OF ENVIRONMENT
(2020)
Review
Environmental Sciences
V. Viguie, S. Juhel, T. Ben-Ari, M. Colombert, J. D. Ford, L. G. Giraudet, D. Reckien
Summary: While adaptation is crucial for climate policy, it can also lead to increased energy consumption, potentially undermining efforts to reduce greenhouse gas emissions. Existing research primarily focuses on heating and cooling demands, neglecting other sectors, and tends to concentrate on a few regions, overlooking local specific conditions. Moreover, there is a lack of studies exploring how different adaptation strategies may impact energy demand, highlighting the importance of considering diverse possibilities to lower the impact and avoid maladaptation.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Xing Jin, Ping Tang, Thomas Houet, Thomas Corpetti, Emilien Gence Alvarez-Vanhard, Zheng Zhang
Summary: This paper proposes a deep learning method called separable convolution network for sequence image interpolation, which effectively produces high-quality time-series interpolated images and better simulates non-linear image data information.
Article
Environmental Sciences
Lea Tardieu, Perrine Hamel, Vincent Viguie, Lana Coste, Harold Levrel
Summary: This paper examines the relationship between soil sealing indicators and ecosystem services (ES) indicators and finds that the majority of ES variations are not well captured by soil sealing indicators. It suggests the need for a finer, ES-based diagnosis in urban planning to consider the environmental and societal impacts of urban sprawl.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Economics
R. Rigo, P. Martin, P. H. Verburg, T. Houet
Summary: This paper evaluates the impacts of land-use and land-cover change scenarios produced in 2004 on knowledge production and public decision making. The results show that while the scenarios successfully supported the local water management strategy and encouraged a multidisciplinary perspective, they failed to create a shared vision of the future among different actor groups.
Article
Environmental Sciences
Leen Felix, Thomas Houet, Peter H. Verburg
Summary: This study conducts a spatial assessment of the impacts of agricultural land intensification, extensification, and abandonment on ecosystem services and biodiversity indicators in the EU and UK. The results show high spatial variation and trade-offs and synergies between impacts, emphasizing the importance of considering context-specificity and spatial targeting in landscape planning and management. Biodiversity and ecosystem service impact mapping can be an effective tool for navigating these trade-offs and exploring sustainable landscape solutions.
ENVIRONMENTAL SCIENCE & POLICY
(2022)
Article
Biodiversity Conservation
Andre Fonseca, Joao A. Santos, Sandra Mariza, Mario Santos, Jose Martinho, Jose Aranha, Daniela Terencio, Rui Cortes, Thomas Houet, Gaetan Palka, Cendrine Mony, Alexia Gonzalez-Ferreras, Ana Silio-Calzada, Joao A. Cabral, Simone Varandas, Edna Cabecinha
Summary: Anthropogenic changes, specifically climate and land-use changes, have had a significant impact on biodiversity. This study examines the spatial distribution changes of selected species in four case studies in the Atlantic region over a historical period (1950-2018) and a future period (2041-2070), emphasizing the importance of incorporating landscape trends to anticipate biodiversity pattern responses.
GLOBAL ECOLOGY AND CONSERVATION
(2022)
Article
Environmental Studies
Houet Thomas, Palka Gaetan, Rigo Roberta, Boussard Hugues, Baudry Jacques, Poux Xavier, Narcy Jean-Baptiste, Alvarez Martinez Jose Manuel, Balbi Stefano, Mony Cendrine, Lecoq Lucie, Beganton Johanna, Barquin Jose
Summary: This article discusses the application of BGIN policies in the Brittany region of France, evaluating their impact on biodiversity by defining and analyzing future land-use and land-cover changes. The results demonstrate that the effective implementation of BGIN policies can protect landscape connectivity in urban ecosystems, but may be threatened by agricultural intensification.
Article
Biodiversity Conservation
Clara Plancher, Florence Mazier, Thomas Houet, Cedric Gaucherel
Summary: Studying the interactions between humans, land-cover and biodiversity is crucial for sustainable ecosystem management. This study proposes an innovative backward land-cover reconstruction method that integrates past vegetation data to achieve accurate reconstruction of past land-cover maps.
Article
Remote Sensing
Antoine Mury, Antoine Collin, Thomas Houet, Emilien Alvarez-Vanhard, Dorothee James
Article
Remote Sensing
Antoine Collin, Stanislas Dubois, Dorothee James, Thomas Houet
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
