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Shohan AAA, Hang HT, Alshayeb MJ, Bindajam AA. Spatiotemporal assessment of the nexus between urban sprawl and land surface temperature as microclimatic effect: implications for urban planning. Environ Sci Pollut Res Int 2024; 31:29048-29070. [PMID: 38568310 DOI: 10.1007/s11356-024-33091-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 03/21/2024] [Indexed: 05/01/2024]
Abstract
Rapid urbanisation has led to significant environmental and climatic changes worldwide, especially in urban heat islands where increased land surface temperature (LST) poses a major challenge to sustainable urban living. In the city of Abha in southwestern Saudi Arabia, a region experiencing rapid urban growth, the impact of such expansion on LST and the resulting microclimatic changes are still poorly understood. This study aims to explore the dynamics of urban sprawl and its direct impact on LST to provide important insights for urban planning and climate change mitigation strategies. Using the random forest (RF) algorithm optimised for land use and land cover (LULC) mapping, LULC models were derived that had an overall accuracy of 87.70%, 86.27% and 93.53% for 1990, 2000 and 2020, respectively. The mono-window algorithm facilitated the derivation of LST, while Markovian transition matrices and spatial linear regression models assessed LULC dynamics and LST trends. Notably, built-up areas grew from 69.40 km2 in 1990 to 338.74 km2 in 2020, while LST in urban areas showed a pronounced warming trend, with temperatures increasing from an average of 43.71 °C in 1990 to 50.46 °C in 2020. Six landscape fragmentation indices were then calculated for urban areas over three decades. The results show that the Largest Patch Index (LPI) increases from 22.78 in 1990 to 65.24 in 2020, and the number of patches (NP) escalates from 2,531 in 1990 to an impressive 10,710 in 2020. Further regression analyses highlighted the morphological changes in the cities and attributed almost 97% of the LST variability to these urban patch dynamics. In addition, water bodies showed a cooling trend with a temperature decrease from 33.76 °C in 2000 to 29.69 °C in 2020, suggesting an anthropogenic influence. The conclusion emphasises the urgent need for sustainable urban planning to counteract the warming trends associated with urban sprawl and promote climate resilience.
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Affiliation(s)
- Ahmed Ali A Shohan
- Department of Architecture and Planning, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia
| | - Hoang Thi Hang
- Department of Geography, Faculty of Natural Science, Jamia Millia Islamia, New Delhi, India.
| | - Mohammed J Alshayeb
- Department of Architecture and Planning, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia
| | - Ahmed Ali Bindajam
- Department of Architecture and Planning, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia
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Molné F, Donati GFA, Bolliger J, Fischer M, Maurer M, Bach PM. Supporting the planning of urban blue-green infrastructure for biodiversity: A multi-scale prioritisation framework. J Environ Manage 2023; 342:118069. [PMID: 37224656 DOI: 10.1016/j.jenvman.2023.118069] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 04/01/2023] [Accepted: 04/28/2023] [Indexed: 05/26/2023]
Abstract
Primary considerations for urban blue-green infrastructure (BGI) encompass sustainable stormwater/urban heat management while biodiversity conservation is often considered an inherent benefit rather than a core planning requirement. However, ecological function of BGI as 'stepping stones' or linear corridors for otherwise fragmented habitats is undisputed. While quantitative approaches for modelling ecological connectivity in conservation planning are well established, mismatches in scope and scale with models that support the planning of BGI makes their adoption and integration difficult across disciplines. Technical complexities have led to ambiguity around circuit and network-based approaches, focal node placement, spatial extents, and resolution. Furthermore, these approaches are often computationally intensive, and considerable gaps remain in their use for identifying local-scale critical "pinch-points" that urban planners may respond to with the integration of BGI interventions that address biodiversity enhancement among other ecosystem services. Here, we present a framework that simplifies and integrates the merits of regional connectivity assessments with a focus on urban areas to prioritise BGI planning interventions while reducing computational demands. Our framework facilitates: (1) modelling potential ecological corridors at a coarse regional scale, (2) prioritising local-scale BGI interventions based on the relative contribution of individual nodes in this regional network, and (3) inferring connectivity hot- and cold-spots for local-scale BGI interventions. We illustrate this in the Swiss lowlands, demonstrating how, compared to previous work, we are able to identify and rank different priority locations across the region for BGI interventions in support of biodiversity enhancement and how their local-scale functional design may be benefited by addressing specific environmental variables.
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Affiliation(s)
- Francesc Molné
- Swiss Federal Institute of Aquatic Science & Technology (EAWAG), Überlandstrasse 133, 8600 Dübendorf, Switzerland; Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903 Birmensdorf, Switzerland.
| | - Giulia F A Donati
- Swiss Federal Institute of Aquatic Science & Technology (EAWAG), Überlandstrasse 133, 8600 Dübendorf, Switzerland; Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903 Birmensdorf, Switzerland.
| | - Janine Bolliger
- Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903 Birmensdorf, Switzerland.
| | - Manuel Fischer
- Swiss Federal Institute of Aquatic Science & Technology (EAWAG), Überlandstrasse 133, 8600 Dübendorf, Switzerland.
| | - Max Maurer
- Swiss Federal Institute of Aquatic Science & Technology (EAWAG), Überlandstrasse 133, 8600 Dübendorf, Switzerland; Institute of Environmental Engineering, ETH Zürich, 8093, Zurich, Switzerland.
| | - Peter M Bach
- Swiss Federal Institute of Aquatic Science & Technology (EAWAG), Überlandstrasse 133, 8600 Dübendorf, Switzerland; Institute of Environmental Engineering, ETH Zürich, 8093, Zurich, Switzerland.
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Elliot T, Goldstein B, Gómez-Baggethun E, Proença V, Rugani B. Ecosystem service deficits of European cities. Sci Total Environ 2022; 837:155875. [PMID: 35568177 DOI: 10.1016/j.scitotenv.2022.155875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 05/03/2022] [Accepted: 05/08/2022] [Indexed: 06/15/2023]
Abstract
Climate change and biodiversity loss are two pressing global environmental challenges that are tightly coupled to urban processes. Cities emit greenhouse gases through the consumption of materials and energy. Urban expansion encroaches on local habitats, while urban land teleconnections simultaneously degrade distant ecosystems. These processes decrease the supply of and increase the demand for ecosystem services inside and outside urban areas. Most cities are in a state of ecosystem services deficit, whereby demand exceeds local supply of ecosystem services. Methods to quantify this deficit by capturing multi-scale and multi-level ecological exchanges are incipient, leaving scholars with a partial understanding of the environmental impacts of cities. This paper deploys a novel method to simulate future urban supplies and demands of two key ecosystem services needed to combat climate change and biodiversity loss - global climate regulation and global habitat maintenance. Applying our model to eight representative European cities, we project growing ecosystems deficits (demand exceeds supply) between 8% and 214% in global climate regulation and 11% and 431% in global habitat maintenance between 2020 and 2050. Variation between cities stems from differing dietary patterns and electricity mixes, which have large implications for ecosystems outside the city. To combat these losses, urban sustainability strategies should complement local restoration with changes to local consumption alongside promoting remote ecological restoration to tackle the multi-level environmental impacts of cities.
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Affiliation(s)
- Thomas Elliot
- Department of Construction Engineering, École de technologie supérieure (ÉTS), 1100 Notre-Dame Ouest, Montréal, Canada; MARETEC/LARSyS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, Portugal.
| | - Benjamin Goldstein
- Department of Bioresource Engineering, McGill University, 21111 Lakeshore Road, Sainte-Anne-de-Bellevue, Canada
| | - Erik Gómez-Baggethun
- Department of International Environment and Development Studies (Noragric), Faculty of Landscape and Society, Norwegian University of Life Sciences (NMBU), PO Box 5003, Ås, Norway; Norwegian Institute for Nature Research (NINA), Sognsveien 68, 0855 Oslo, Norway
| | - Vânia Proença
- MARETEC/LARSyS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, Portugal
| | - Benedetto Rugani
- Environmental Sustainability Assessment and Circularity, Environmental Research & Innovation Department, Luxembourg Institute of Science and Technology, 41 Rue du Brill, Belvaux, Luxembourg
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Pradilla G, Lamberty G, Hamhaber J. Hydromorphological and socio-cultural assessment of urban rivers to promote nature-based solutions in Jarabacoa, Dominican Republic. Ambio 2021; 50:1414-1430. [PMID: 34061346 PMCID: PMC8249590 DOI: 10.1007/s13280-021-01565-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 11/05/2020] [Accepted: 04/22/2021] [Indexed: 06/12/2023]
Abstract
In Latin America and the Caribbean, river restoration projects are increasing, but many lack strategic planning and monitoring. We tested the applicability of a rapid visual social-ecological stream assessment method for restoration planning, complemented by a citizen survey on perceptions and uses of blue and green infrastructure. We applied the method at three urban streams in Jarabacoa (Dominican Republic) to identify and prioritize preferred areas for nature-based solutions. The method provides spatially explicit information for strategic river restoration planning, and its efficiency makes it suitable for use in data-poor contexts. It identifies well-preserved, moderately altered, and critically impaired areas regarding their hydromorphological and socio-cultural conditions, as well as demands on green and blue infrastructure. The transferability of the method can be improved by defining reference states for assessing the hydromorphology of tropical rivers, refining socio-cultural parameters to better address river services and widespread urban challenges, and balancing trade-offs between ecological and social restoration goals.
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Affiliation(s)
- Gonzalo Pradilla
- Institute of Applied Geosciences, Technische Universität Darmstadt, Schnittspahnstrasse 9, 64287 Darmstadt, Germany
| | - Georg Lamberty
- Faculty of Spatial Development and Infrastructure Systems, Cologne University of Applied Sciences, Robertstrasse 2, 53111 Cologne, Germany
| | - Johannes Hamhaber
- Faculty of Spatial Development and Infrastructure Systems, Cologne University of Applied Sciences, Robertstrasse 2, 53111 Cologne, Germany
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Tzoulas K, Galan J, Venn S, Dennis M, Pedroli B, Mishra H, Haase D, Pauleit S, Niemelä J, James P. A conceptual model of the social-ecological system of nature-based solutions in urban environments. Ambio 2021; 50:335-345. [PMID: 32915446 PMCID: PMC7782638 DOI: 10.1007/s13280-020-01380-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Revised: 11/22/2019] [Accepted: 08/08/2020] [Indexed: 05/18/2023]
Abstract
This article provides a perspective on nature-based solutions. First, the argument is developed that nature-based solutions integrate social and ecological systems. Then, theoretical considerations relating to relational values, multifunctionality, transdisciplinarity, and polycentric governance are briefly outlined. Finally, a conceptual model of the social-ecological system of nature-based solutions is synthesised and presented. This conceptual model comprehensively defines the social and ecological external and internal systems that make up nature-based solutions, and identifies theoretical considerations that need to be addressed at different stages of their planning and implementation The model bridges the normative gaps of existing nature-based solution frameworks and could be used for consistent, comprehensive, and transferable comparisons internationally. The theoretical considerations addressed in this article inform practitioners, policymakers, and researchers about the essential components of nature-based solutions. The conceptual model can facilitate the identification of social and ecological interconnections within nature-based solutions and the range of stakeholders and disciplines involved.
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Affiliation(s)
- Konstantinos Tzoulas
- Department of Natural Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD UK
| | - Juanjo Galan
- Department of Architecture, Landscape Architecture, School of Arts, Design and Architecture, Aalto University, Otaniementie 14, 02150 Espoo, Finland
| | - Stephen Venn
- Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, P.O. Box 65, Viikinkaari 2a, 00014 Helsinki, Finland
| | - Matthew Dennis
- Department of Geography, School of Environment, Education and Development, The University of Manchester, Arthur Lewis G.037, Oxford Road, Manchester, M13 9PL UK
| | - Bas Pedroli
- Landscape Architecture and Spatial Planning Group, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands
| | - Himansu Mishra
- Department of Landscape Architecture, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 56/3, 51006 Tartu, Estonia
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Dagmar Haase
- Humboldt University of Berlin, Alfred-Rühl-Haus, Rudower Chaussee 16, 12489 Berlin, Germany
| | - Stephan Pauleit
- Technical University of Munich, Emil-Ramann-Str. 6, 85354 Freising, Germany
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Jari Niemelä
- University of Helsinki, Yliopistonkatu 4, Helsinki, 00014 Finland
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Philip James
- School of Science, Engineering and Environment, University of Saflord, Peel Building, M5 4WT Salford, UK
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Rezaeisabzevar Y, Bazargan A, Zohourian B. Landfill site selection using multi criteria decision making: Influential factors for comparing locations. J Environ Sci (China) 2020; 93:170-184. [PMID: 32446453 DOI: 10.1016/j.jes.2020.02.030] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 02/28/2020] [Accepted: 02/28/2020] [Indexed: 06/11/2023]
Abstract
Although a lot of research has focused on energy recovery and recycling of valuable materials from wastes to reduce loads on landfills, landfilling is still an inseparable part of solid waste management. Since landfills potentially pose a risk to human health and the surrounding environment, landfill site selection is an important endeavor that has to be carried out with great care. Choosing a suitable location for landfills depends on several factors and is a complicated procedure. In this paper, a comprehensive review of landfill site selection methods, with an emphasis on multi criteria decision making (multiple criteria decision analysis) has been presented. Assessments indicate that the most frequently used methods are weighted linear combination (WLC), ordered weighted averaging (OWA), analytic hierarchy process (AHP), fuzzy analytic hierarchy process (F-AHP), TODIM, fuzzy TODIM, analytic network process (ANP), fuzzy-analytic network process (F-ANP), and grey systems theory, each of which is discussed. The most widely used factors for selecting a landfill site are groundwater depth, surface water vicinity, elevation, land slope, soil permeability, soil stability, flooding susceptibility, lithology and stratification, faults, land use type, nearby settlements and urbanization, cultural and protected site vicinity, wind direction, roads, railways, proximity to building materials, pipelines and powerlines, and proximity to airports.
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Affiliation(s)
- Yashar Rezaeisabzevar
- School of Environment, College of Engineering, University of Tehran, 141785311 Tehran, Iran
| | - Alireza Bazargan
- School of Environment, College of Engineering, University of Tehran, 141785311 Tehran, Iran.
| | - Behzad Zohourian
- Department of Engineering, Ferdowsi University of Mashhad, 9177942974 Mashhad, Iran
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