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Search Results (10,814)

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Keywords = China’s urbanization

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32 pages, 1232 KB  
Article
Impact of Green Finance on Urban Ecological and Environmental Resilience: Evidence from China
by Siyuan Wang and Bingnan Guo
Sustainability 2026, 18(2), 706; https://doi.org/10.3390/su18020706 - 9 Jan 2026
Abstract
China’s Green Finance Reform and Innovation Pilot Zones (GFRIPZ) policy has emerged as a central instrument for promoting sustainable urban development and strengthening Urban Ecological and Environmental Resilience (UEER). However, systematic evidence on its actual effectiveness remains scarce. This study applies a difference-in-differences [...] Read more.
China’s Green Finance Reform and Innovation Pilot Zones (GFRIPZ) policy has emerged as a central instrument for promoting sustainable urban development and strengthening Urban Ecological and Environmental Resilience (UEER). However, systematic evidence on its actual effectiveness remains scarce. This study applies a difference-in-differences (DID) model to panel data for 279 Chinese cities from 2011 to 2022 to identify the causal impact of the GFRIPZ policy on UEER and to examine its transmission mechanisms and heterogeneity. Specifically, we incorporate green innovation efficiency and environmental regulation intensity to test the technological and regulatory channels through which green finance operates. The empirical results show that: (1) the GFRIPZ policy significantly improves UEER, and this finding is robust across a range of alternative specifications and robustness checks. (2) Green innovation efficiency and environmental regulation intensity serve as key mechanisms through which the policy enhances UEER. (3) The policy effect is stronger in eastern cities, megacities, small cities, and non-resource-based cities, while it is relatively weaker in central and western cities, medium-sized cities, and resource-based cities. These findings provide additional empirical evidence to inform the refinement and further advancement of the GFRIPZ policy and offer evidence-based implications for urban green development strategies. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
20 pages, 5799 KB  
Article
Comparative Evaluation of Multi-Source Geospatial Data and Machine Learning Models for Hourly Near-Surface Air Temperature Mapping
by Zexiang Yan, Yixu Chen, Ruoxue Li and Meiling Gao
Atmosphere 2026, 17(1), 71; https://doi.org/10.3390/atmos17010071 - 9 Jan 2026
Abstract
Accurate estimation of hourly near-surface air temperature (NSAT) is critical for climate analysis, environmental monitoring, and urban thermal studies. However, existing temperature datasets remain constrained by coarse spatial resolution and limited hourly accuracy. This study systematically evaluates four widely used land surface temperature [...] Read more.
Accurate estimation of hourly near-surface air temperature (NSAT) is critical for climate analysis, environmental monitoring, and urban thermal studies. However, existing temperature datasets remain constrained by coarse spatial resolution and limited hourly accuracy. This study systematically evaluates four widely used land surface temperature (LST) datasets—MODIS, ERA5-Land, FY-2F, and CGLS—and five machine learning models (RF, MDN, DNN, XGBoost, and GTNNWR) for NSAT estimation across two contrasting regions in Shaanxi, China: a complex-terrain region in southwestern Shaanxi and the urban area of Xi’an. Results demonstrate that single-source LST inputs outperform multi-source LST stacking, largely due to compounded systematic biases across heterogeneous datasets. MODIS provides the best performance in the mountainous region, while CGLS excels in the urban environment. Among all models, GTNNWR—which explicitly captures spatiotemporal non-stationarity—consistently achieves the highest accuracy, reducing RMSE by 44.8% and 44.2% relative to the second-best model in the two study areas, respectively, whereas the remaining four models exhibit broadly comparable performance. This work identifies effective data–model configurations for generating high-resolution hourly NSAT products and provides methodological insights for climate and environmental applications in regions with complex terrain or strong urban heterogeneity. Full article
(This article belongs to the Section Atmospheric Techniques, Instruments, and Modeling)
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28 pages, 766 KB  
Article
The Rebirth of Industrial Heritage: How the Regeneration of Historical Spaces Impacts People’s Mental and Physical Health Through Restorative Perception
by Yinghang Fu and Mengchang Yang
Buildings 2026, 16(2), 290; https://doi.org/10.3390/buildings16020290 - 9 Jan 2026
Abstract
This study aims to explore how industrial heritage regeneration spaces influence employees’ physical and psychological health through restorative perception. With the rapid urbanization and increasing emphasis on sustainable development, the adaptive reuse of industrial heritage sites has become a vital strategy in urban [...] Read more.
This study aims to explore how industrial heritage regeneration spaces influence employees’ physical and psychological health through restorative perception. With the rapid urbanization and increasing emphasis on sustainable development, the adaptive reuse of industrial heritage sites has become a vital strategy in urban renewal. However, the impact of such spaces on people’s health remains underexplored, especially in terms of how the work environment and restorative psychological mechanisms interact. Using a cross-sectional survey design, data from 486 employees in adaptive reuse projects across major cities in China were analyzed through Structural Equation Modeling (SEM). Employees were chosen as the target population because they represent a group with stable, repeated, and long-term exposure to the regenerated environment during daily routines. Compared with visitors, whose exposure duration, activity purposes, and spatial routes are highly variable, employees provide a more consistent context to test the proposed restorative mechanisms. The results revealed that industrial heritage attribute perception (IHAP), including scale, materiality, historical presence, and functional transformation, significantly predicted restorative perception (β = 0.546, p < 0.001), which in turn positively influenced both psychological health (β = −0.647, p < 0.001) and physical health (β = 0.688, p < 0.001). Instrumental variable analysis using “building age” and “green coverage rate” confirmed the robustness of these findings, showing that restorative perception still significantly improved mental (β = −2.295, p < 0.001) and physical health (β = 0.528, p < 0.001) after addressing endogeneity issues. Furthermore, individual differences such as work tenure (β = 0.239, p < 0.001) and environmental sensitivity (β = 0.054, p > 0.05) moderated these effects. This study extends Attention Restoration Theory (ART) by applying it to historical industrial environments, offering both theoretical insights and practical guidance for designing adaptive reuse spaces that promote employee well-being. Full article
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19 pages, 12335 KB  
Article
Method for Monitoring the Safety of Urban Subway Infrastructure Along Subway Lines by Fusing Inter-Track InSAR Data
by Guosheng Cai, Xiaoping Lu, Yao Lu, Zhengfang Lou, Baoquan Huang, Yaoyu Lu, Siyi Li and Bing Liu
Sensors 2026, 26(2), 454; https://doi.org/10.3390/s26020454 - 9 Jan 2026
Abstract
Urban surface subsidence is primarily induced by intensive above-ground and underground construction activities and excessive groundwater extraction. Integrating InSAR techniques for safety monitoring of urban subway infrastructure is therefore of great significance for urban safety and sustainable development. However, single-track high-spatial-resolution SAR imagery [...] Read more.
Urban surface subsidence is primarily induced by intensive above-ground and underground construction activities and excessive groundwater extraction. Integrating InSAR techniques for safety monitoring of urban subway infrastructure is therefore of great significance for urban safety and sustainable development. However, single-track high-spatial-resolution SAR imagery is insufficient to achieve full coverage over large urban areas, and direct mosaicking of inter-track InSAR results may introduce systematic biases, thereby compromising the continuity and consistency of deformation fields at the regional scale. To address this issue, this study proposes an inter-track InSAR correction and mosaicking approach based on the mean vertical deformation difference within overlapping areas, aiming to mitigate the overall offset between deformation results derived from different tracks and to construct a spatially continuous urban surface deformation field. Based on the fused deformation results, subsidence characteristics along subway lines and in key urban infrastructures were further analyzed. The main urban area and the eastern and western new districts of Zhengzhou, a national central city in China, were selected as the study area. A total of 16 Radarsat-2 SAR scenes acquired from two tracks during 2022–2024, with a spatial resolution of 3 m, were processed using the SBAS-InSAR technique to retrieve surface deformation. The results indicate that the mean deformation rate difference in the overlapping areas between the two SAR tracks is approximately −5.54 mm/a. After applying the difference-constrained correction, the coefficient of determination (R2) between the mosaicked InSAR results and leveling observations increased to 0.739, while the MAE and RMSE decreased to 4.706 and 5.538 mm, respectively, demonstrating good stability in achieving inter-track consistency and continuous regional deformation representation. Analysis of the corrected InSAR results reveals that, during 2022–2024, areas exhibiting uplift and subsidence trends accounted for 37.6% and 62.4% of the study area, respectively, while the proportions of cumulative subsidence and uplift areas were 66.45% and 33.55%. In the main urban area, surface deformation rates are generally stable and predominantly within ±5 mm/a, whereas subsidence rates in the eastern new district are significantly higher than those in the main urban area and the western new district. Along subway lines, deformation rates are mainly within ±5 mm/a, with relatively larger deformation observed only in localized sections of the eastern segment of Line 1. Further analysis of typical zones along the subway corridors shows that densely built areas in the western part of the main urban area remain relatively stable, while building-concentrated areas in the eastern region exhibit a persistent relative subsidence trend. Overall, the results demonstrate that the proposed inter-track InSAR mosaicking method based on the mean deformation difference in overlapping areas can effectively support subsidence monitoring and spatial pattern identification along urban subway lines and key regions under relative calibration conditions, providing reliable remote sensing information for refined urban management and infrastructure risk assessment. Full article
(This article belongs to the Special Issue Application of SAR and Remote Sensing Technology in Earth Observation)
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23 pages, 4895 KB  
Article
How Landscape Morphology Shapes Urban Park Cooling Effects Across Different Scales? A Case Study of Wuhan, China
by Wenchen Zhang and Dongyun Liu
Land 2026, 15(1), 137; https://doi.org/10.3390/land15010137 - 9 Jan 2026
Abstract
As a typical nature-based solution, urban parks play an important role in mitigating urban heat island effects. Although previous studies highlighted the complex impacts of landscape morphology on urban park cooling effects (PCE), the interactions and impact thresholds between specific features on PCE [...] Read more.
As a typical nature-based solution, urban parks play an important role in mitigating urban heat island effects. Although previous studies highlighted the complex impacts of landscape morphology on urban park cooling effects (PCE), the interactions and impact thresholds between specific features on PCE remain insufficiently explored across different scales. Here, taking 119 parks in Wuhan, China, as examples, the PCE and their responses to landscape morphology were quantified across three scales, including 47 small, 41 medium, and 31 large parks. Results showed that 79.8% of parks (95) exhibited obvious cooling effects. From small to large parks, the largest park cooling distance (LPCD), area (LPCA), and intensity (LPCI), as well as the accumulative park cooling gradient (APCG) and intensity (APCI), showed upward trends, while largest park cooling efficiency (LPCE) declined. Scale-dependent differences in landscape morphology impacting PCE were evident. In small and medium parks, LPCD and LPCA were mainly shaped by the surrounding environment, while LPCI and LPCE were primarily determined by internal morphology. In large parks, LPCA, APCI, and APCG were impacted by the surrounding environment, while LPCD and LPCI were dominated by internal morphology. Moreover, interactions between specific landscape morphology features significantly enhanced the model explanatory power and exhibited clear impact thresholds on PCE. Overall, this study enhances our understanding of cross-scale cooling mechanisms of urban parks and offers practical implications for heat-governance-oriented park planning. Full article
(This article belongs to the Special Issue Urban Morphology: A Perspective from Space (3rd Edition))
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21 pages, 2707 KB  
Article
Urban Industrial Land Shrinkage in China: Formation Mechanisms, Identification, and Response Strategies
by Wenrui Liu, Bingqing Li and Hongwei Zhang
Land 2026, 15(1), 138; https://doi.org/10.3390/land15010138 - 9 Jan 2026
Abstract
In the context of urban development transforming from external expansion to internal improvement, identifying the patterns and characteristics of urban industrial land shrinkage and proposing response strategies are crucial for achieving high-quality and sustainable urban development. Unlike previous studies that focused on the [...] Read more.
In the context of urban development transforming from external expansion to internal improvement, identifying the patterns and characteristics of urban industrial land shrinkage and proposing response strategies are crucial for achieving high-quality and sustainable urban development. Unlike previous studies that focused on the expansion of industrial land based on absolute changes in land area, we propose a formation mechanism for urban industrial land shrinkage from the perspectives of both absolute and potential shrinkage. We quantitatively identified the Chinese cities that experienced shrinkage between 2006 and 2020, and developed a comprehensive indicator system to investigate the changes in the structural and functional characteristics of industrial land use during this process. The results indicated that urban industrial land shrinkage has become a widespread phenomenon nationwide. Absolute shrinkage was predominantly attributed to resource depletion and a lack of economic development, while potential shrinkage was mainly influenced by high-quality development and a lack of economic development. Cities exhibiting potential shrinkage experienced more severe structural deterioration, while cities with absolute shrinkage faced greater functional degradation. Extensive land use remains a serious challenge that must be addressed in industrial land redevelopment. Finally, we propose that more attention should be given to the utilization of stock urban industrial land, in particular in cities with relatively low administrative levels, small populations, and remote locations. Urban land redevelopment projects need to be conducted in accordance with the principle of intensive land use to promote the sustainable development of cities. Full article
(This article belongs to the Special Issue Urban–Rural Land Governance and Sustainable Development in New Era)
19 pages, 5832 KB  
Article
Joint PS–SBAS Time-Series InSAR for Sustainable Urban Infrastructure Management: Tunnel Subsidence Mechanisms in Sanya, China
by Jun Hu, Zihan Song, Yamin Zhao, Kai Wei, Bing Liu and Qiong Liu
Sustainability 2026, 18(2), 688; https://doi.org/10.3390/su18020688 - 9 Jan 2026
Abstract
Monitoring construction-phase settlement of estuary-crossing tunnels founded on coastal soft soils is critical for risk management, yet dense in situ measurements are often unavailable along linear corridors. This study uses Sentinel-1A ascending SAR imagery (65 scenes, September 2022–August 2025) to retrieve time-series deformation [...] Read more.
Monitoring construction-phase settlement of estuary-crossing tunnels founded on coastal soft soils is critical for risk management, yet dense in situ measurements are often unavailable along linear corridors. This study uses Sentinel-1A ascending SAR imagery (65 scenes, September 2022–August 2025) to retrieve time-series deformation along the Sanya Estuary Channel tunnel (China) using Permanent Scatterer InSAR (PS-InSAR) and Small Baseline Subset InSAR (SBAS-InSAR). The two approaches reveal a consistent subsidence hotspot at Tunnel Section D (DK0+000–DK0+330), while most of the corridor remains within ±5 mm/a. The line-of-sight deformation rates range from −24 to 17.7 mm/year (PS-InSAR) and −29.9 to 18.7 mm/a (SBAS-InSAR). Time-series analysis at representative points in Section D indicates a maximum cumulative settlement of −75.7 mm and a clear acceleration after May 2023. By integrating the deformation results with geological reports, construction logs and rainfall records, we infer that compressible marine clays and interbedded sand/aquifer zones control the hotspot, whereas excavation/dewatering and rainfall-related groundwater fluctuations further promote consolidation. The results provide a practical basis for subsidence risk screening and monitoring prioritization for estuary-crossing infrastructure in coastal soft-soil settings. From a sustainability perspective, the proposed joint PS–SBAS InSAR framework provides a scalable and cost-effective tool for continuous deformation surveillance, supporting preventive maintenance and risk-informed management of urban underground infrastructure. Full article
(This article belongs to the Section Sustainability in Geographic Science)
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24 pages, 4812 KB  
Article
Sustainable Value Assessment of Textile Industrial Heritage Along the Longhai Railway (Guanzhong Section) from a Linear Heritage Perspective
by Panpan Liu, Yi Liu, Yuxin Zhang, Xingchen Lai and Hiroatsu Fukuda
Buildings 2026, 16(2), 281; https://doi.org/10.3390/buildings16020281 - 9 Jan 2026
Abstract
The adaptive reuse of industrial heritage is increasingly recognized as an effective low-carbon strategy that reduces resource consumption, lowers embodied carbon emissions, and supports sustainable urban transitions. Developing appropriate reuse strategies, however, requires a robust understanding of heritage value. As material evidence of [...] Read more.
The adaptive reuse of industrial heritage is increasingly recognized as an effective low-carbon strategy that reduces resource consumption, lowers embodied carbon emissions, and supports sustainable urban transitions. Developing appropriate reuse strategies, however, requires a robust understanding of heritage value. As material evidence of China’s modern industrialization, railway-associated industrial heritage possesses the characteristics of linear cultural heritage. Yet systematic and multi-scalar value assessments from a linear heritage perspective remain limited. Focusing on the Guanzhong Section of the Longhai Railway—one of the most representative industrial development axes in Northwest China—this study establishes a two-level value assessment framework and conducts a comprehensive evaluation of fourteen textile industrial heritage units. At the individual level, five dimensions—historical significance, architectural features, structural integrity, authenticity, and rarity—were assessed through field investigation, and type-specific weights were introduced to correct structural imbalances between quantity and value across building categories. At the unit level, the Analytic Hierarchy Process (AHP) was employed to determine the weights of spatial–functional integrity, process completeness, railway connectivity, industrial landscape characteristics, and the integrated individual-level value. The results show that factory workshops and warehouses consistently exhibit the highest value, whereas structures and residential buildings, despite their numerical dominance, contribute relatively little. Spatially, a clear west–east gradient emerges: high-value units cluster in Baoji and Xi’an, medium-value units in Xianyang, and low-value units mainly in Weinan and surrounding counties. The findings indicate that textile industrial heritage along the Guanzhong Section forms a railway-linked linear cultural heritage system rather than isolated sites. The proposed evaluation framework not only supports heritage identification and conservation planning but also provides a theoretical basis for promoting low-carbon adaptive reuse of existing industrial buildings. Full article
(This article belongs to the Special Issue Carbon-Neutral Pathways for Urban Building Design)
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22 pages, 367 KB  
Article
The Common Prosperity Effect of Integrated Urban Rural Development: Evidence from China
by Junguo Hua, Yu Jing, Juan Wang and Jing Ding
Sustainability 2026, 18(2), 683; https://doi.org/10.3390/su18020683 - 9 Jan 2026
Abstract
Common prosperity is an essential requirement of socialism with Chinese characteristics for a new era. Problems caused by the urban rural dual structure, such as resource misallocation, ecological-economic imbalance, and insufficient farmer income growth, not only hinder common prosperity but also conflict with [...] Read more.
Common prosperity is an essential requirement of socialism with Chinese characteristics for a new era. Problems caused by the urban rural dual structure, such as resource misallocation, ecological-economic imbalance, and insufficient farmer income growth, not only hinder common prosperity but also conflict with the sustainable development strategy. As the core path to break the dual structure and narrow gaps, the multi-dimensional impact and mechanism of urban rural integrated development on common prosperity need systematic verification. Based on panel data of 31 Chinese provinces from 2014 to 2023, this paper uses fixed-effects and mechanism test models to examine its direct, indirect, and spatial spillover effects, focusing on transmission mechanisms of wage, property, and operating incomes. Findings show: First, it exerts significant positive direct and cross-regional spillover effects on common prosperity; Second, wage and property incomes are key transmission paths, while operating income’s mediating effect is unclear; Third, effects vary geographically, stronger in eastern/central China, weaker in northeast China and insignificant in west China; Fourth, economic and spatial integration play prominent roles, social service integration has inhibitory effect, and ecological integration’s effect is under-released. Accordingly, this paper puts forward countermeasures to optimize resource allocation, tackle the rural operating income dilemma, advance regional coordination, and enhance equal social services, providing references for improving common prosperity policies and rural sustainable development. Full article
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22 pages, 5199 KB  
Article
Evaluation for the Development Potential of Rural Recreational Resources Surrounding Megacities: A Case Study of Zhengzhou
by Siyu Fan, Jingjing Yan, Han Li, Xiao Wang, Fanfan Wang, Hong Wei and Bo Mu
Land 2026, 15(1), 129; https://doi.org/10.3390/land15010129 - 9 Jan 2026
Abstract
Under the requirements of ecological civilization and rural revitalization strategies in China, studying and evaluating the development potential of rural recreational resources surrounding the urban areas of megacities is of great significance for promoting the integrated development of urban and rural areas. Based [...] Read more.
Under the requirements of ecological civilization and rural revitalization strategies in China, studying and evaluating the development potential of rural recreational resources surrounding the urban areas of megacities is of great significance for promoting the integrated development of urban and rural areas. Based on the collection and processing of multi-source datasets, this paper proposes corresponding evaluation methods for the development potential of three types of rural recreational resources (nature-historical culture-village). It combines AHP-entropy weight combination weighting, GIS spatial analysis, and Graphab network connectivity analysis to explore and evaluate the potential of rural recreational resources within the Zhengzhou urban area, which is in Central China. It quantifies the contribution degree and development priority of potential points to the overall recreational network. The results show that the recreational resources in rural areas are abundant and have great development potential. High potential points of the natural category are concentrated in the western shallow mountainous and hilly areas, with convenient transportation and a high green coverage rate, suitable for developing as suburban forest parks. High-potential points of historical sites are close to the urban area, and should be integrated and connected with the urban leisure corridors, suitable for developing as suburban cultural parks. High-potential points of villages are suitable for creating composite stations (homestay, study, folk customs) and developing into key nodes of the recreational network. Potential points with high contribution to the overall recreational network should be prioritized for development. In the future, the optimization and development of rural recreational resources can be achieved through four paths of overall planning, key promotion, brand driving, and network collaboration. Full article
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26 pages, 1669 KB  
Article
Does the National Key Ecological Function Zones Policy Promote Leapfrog Development in Urban–Rural Integration?
by Fanfan Li, Guangpeng Ma and Guixiang Zhang
Land 2026, 15(1), 128; https://doi.org/10.3390/land15010128 - 9 Jan 2026
Abstract
Integrated urban–rural development is an inevitable requirement of regional development. Developing green industries based on rural ecological resources are important approaches to promoting urban–rural integration. The National Key Ecological Function Zones (NKEFZ) policy focuses on safeguarding national ecological security. However, whether the resulting [...] Read more.
Integrated urban–rural development is an inevitable requirement of regional development. Developing green industries based on rural ecological resources are important approaches to promoting urban–rural integration. The National Key Ecological Function Zones (NKEFZ) policy focuses on safeguarding national ecological security. However, whether the resulting ecological improvements can, through the realization of ecological value, provide momentum for urban–rural integration remains unclear in existing research. This study uses a sample of 284 prefecture-level cities in China from 2006 to 2023, treating the establishment of NKEFZ as a quasi-natural experiment. First, the study constructs a “Driving-constraining” bidirectional theoretical framework, and then uses the entropy weight method to measure the level of urban–rural integration, which is selected by 18 sub-indicators from the populational, spatial, and economic dimensions. Finally, a multi-period difference-in-differences (DID) model is constructed to test the impact of NKEFZ on urban–rural integration, and the transmission mechanisms and heterogeneity are explored. The results indicate the following: (1) Following the implementation of the NKEFZ policy, it shows an overall inhibitory trend on urban–rural integration, consequently slowing the progress of urban–rural integration. The inhibitory effects are particularly pronounced in spatial and economic integration dimensions, and these results are robust. (2) Constrained industrial upgrading and increased fiscal pressure on local governments are the main mechanisms behind the slowed urban–rural integration. (3) Due to differences in policy coverage and the heterogeneous characteristics of city locations, the negative effects of the policy are more pronounced in cities with a high proportion of key ecological function counties, as well as in prefecture-level cities in central and western regions. Based on these findings, it is suggested to promote high-quality urban–rural integration in eco-priority areas through pathways such as developing ecological industries, improving the ecological compensation system, and clarifying central–local collaborative governance. Full article
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27 pages, 31276 KB  
Article
Occurrence Frequency Projection of Rainfall-Induced Landslides Under Climate Change in Chongqing, China
by Jiayao Wang, Juan Du, Jiacan Zhang and Chengfeng Ren
Water 2026, 18(2), 178; https://doi.org/10.3390/w18020178 - 9 Jan 2026
Abstract
As one of China’s major megacities, Chongqing is highly vulnerable to rainfall-induced landslides, and the increasing frequency of extreme rainfall driven by climate change further exacerbates risks to infrastructure and public safety. Although numerous studies on landslide susceptibility, quantitative assessments of future landslide [...] Read more.
As one of China’s major megacities, Chongqing is highly vulnerable to rainfall-induced landslides, and the increasing frequency of extreme rainfall driven by climate change further exacerbates risks to infrastructure and public safety. Although numerous studies on landslide susceptibility, quantitative assessments of future landslide frequency under different climate scenarios remain insufficient. This study addresses this gap by integrating high-resolution climate projections with a landslide early-warning model to predict spatiotemporal variations in landslide hazard across Chongqing. Based on regional climate characteristics, the rainy season was divided into three periods: May–June, July, and August–September. Soil moisture variations, together with static geological and topographic factors, were integrated using the information value model to assess the semi-dynamic landslide susceptibilities. On this basis, a regional warning model was then established by linking rainfall thresholds to four geological subregions. High-resolution NEX-GDDP-CMIP6 projections and historical ERA5 0rainfall data were used to quantify changes in exceedance days under four shared socioeconomic pathways (SSPs) from 2021 to 2100. Results indicate a substantial increase in days exceeding the 30% landslide-triggering rainfall threshold, with maximum relative growth of 15.57%. Landslide frequency exhibits pronounced spatial and temporal heterogeneity: increases are observed in May–June and August–September, whereas July trends vary with radiative forcing-decreasing under low-forcing scenarios (SSP1-2.6, SSP2-4.5) and increasing under high-forcing scenarios (SSP3-7.0, SSP5-8.5). The largest increase in frequency reaches 72%, primarily affecting southwestern and central Chongqing. By linking climate projections with rainfall thresholds and semi-dynamic susceptibility assessment, the framework provides a scientific reference for landslide risk prevention and mitigation under future climate scenarios, and offers transferable insights for other mountainous urban regions facing similar hazards. Full article
(This article belongs to the Special Issue Climate Change Impacts on Landslide Activity)
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37 pages, 5897 KB  
Article
Users’ Perceptions of Public Space Quality in Urban Waterfront Regeneration: A Case Study of the South Bank of the Qiantang River in Hangzhou, China
by Zilun Shao, Yue Tang and Jiayi Zhang
Land 2026, 15(1), 125; https://doi.org/10.3390/land15010125 - 8 Jan 2026
Abstract
Mega-event-led urban waterfront regeneration has played a key role in shaping public open spaces, particularly in newly developed areas within the Chinese context. However, public perceptions and their influence on the use of newly built open spaces created through mega-event-led regeneration have not [...] Read more.
Mega-event-led urban waterfront regeneration has played a key role in shaping public open spaces, particularly in newly developed areas within the Chinese context. However, public perceptions and their influence on the use of newly built open spaces created through mega-event-led regeneration have not been examined in existing research. To address this gap, this study establishes an integrated assessment framework to evaluate the quality of urban waterfront open spaces. A mixed methods approach was adopted, including direct observations and 770 online questionnaires collected between July and October 2024 at the South Bank of the Qiantang River (SBQR) in Hangzhou, China. Spatial analysis and Importance–Performance Analysis (IPA) were employed to determine priority improvement areas that should inform future waterfront regeneration strategies. The results indicate that inclusiveness emerged as the most important factor for enhancing waterfront open space quality, while spatial aesthetics ranked the lowest. Among the sub-sub factors, elements related to improving water accessibility, enhancing natural surveillance, providing artificial shelters and diverse seating options, introducing distinctive water features, and shaping collective memory through digital technologies are the key priorities for improvement in the future urban waterfront regeneration policies. Finally, the study highlights that the intangible legacies of the Asian Games and the adaptive reuse of informal built heritage have the potential to reshape a distinctive new city image and collective memory, even in the absence of tangible and formally recognised heritage buildings. Full article
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33 pages, 6654 KB  
Article
Ecological Restoration Zoning Based on the “Importance–Vulnerability” Framework for Ecosystem Services
by Nan Li, Zezhou Hu, Miao Zhang, Bei Wang and Tian Zhang
Sustainability 2026, 18(2), 648; https://doi.org/10.3390/su18020648 - 8 Jan 2026
Abstract
The Qinling–Bashan mountainous region and its surrounding areas in Shaanxi Province constitute a critical ecological security barrier and significant socio-economic zone within China, currently experiencing mounting ecological stress from both natural processes and anthropogenic activities. This study proposes an ecological restoration zoning framework [...] Read more.
The Qinling–Bashan mountainous region and its surrounding areas in Shaanxi Province constitute a critical ecological security barrier and significant socio-economic zone within China, currently experiencing mounting ecological stress from both natural processes and anthropogenic activities. This study proposes an ecological restoration zoning framework built upon assessments of ecological vulnerability (EV) and ecosystem service value (ESV). The InVEST model was used to quantify major ecosystem services, while the Vulnerability Scoping Diagram (VSD) model evaluated ecological vulnerability. Both the ESV and EV layers were classified using the natural breaks method and aggregated at the township level to delineate restoration zones. Unlike previous studies relying on subjective judgment, this study constructs a standardized ‘vulnerability–service value’ decision matrix for the Qinling–Bashan region, providing a clear technical pathway for spatial restoration. Key findings include the following: (1) Spatial Vulnerability Pattern: The Qinling and Bashan mountain cores exhibit predominantly low vulnerability (potential and slight), while severe vulnerability is concentrated in the urbanizing Guanzhong Plain, emphasizing the need for urban ecological restoration. (2) Dominant Ecosystem Services: Carbon storage and net primary productivity (NPP) together account for 93% of the total ESV, highlighting the importance of forest conservation for national climate regulation. (3) Zoning Strategy: Four functional zones were defined, with the largest being the ecological conservation zone (44.8%), while a smaller ecological restoration zone (2.8%) in urban peripheries requires targeted intervention. Full article
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13 pages, 1447 KB  
Article
Longitudinal Wastewater-Based Epidemiology Reveals the Spatiotemporal Dynamics and Genotype Diversity of Diarrheal Viruses in Urban Guangdong, China
by Shuling Li, Jiadian Cao, Yuxi Yan, Wenwen Deng, Yuwei He, Siling Xiang, Chuting Zeng, Heshi Long, Shuxian Li, Qiao Yao, Biao Zeng, Baisheng Li, Song Tang and Jing Lu
Viruses 2026, 18(1), 83; https://doi.org/10.3390/v18010083 - 8 Jan 2026
Abstract
Following the normalization of the COVID-19 pandemic, the focus of wastewater-based epidemiology (WBE) must be broadened from SARS-CoV-2 to encompass surveillance of other major infectious diseases, particularly for pathogens where conventional clinical monitoring systems exhibit inherent surveillance gaps. In this study, we conducted [...] Read more.
Following the normalization of the COVID-19 pandemic, the focus of wastewater-based epidemiology (WBE) must be broadened from SARS-CoV-2 to encompass surveillance of other major infectious diseases, particularly for pathogens where conventional clinical monitoring systems exhibit inherent surveillance gaps. In this study, we conducted a continuous two-year WBE study (January 2023 to December 2024) across three high-population-density cities in Guangdong, China to establish epidemiological baselines for enteric diarrheal viruses. We analyzed monthly raw wastewater samples from major treatment plants using advanced molecular methods, including digital PCR (ddPCR) for viral load quantification and targeted high-throughput sequencing (tNGS) for genotypic analysis. Our findings revealed diverse circulation patterns among the monitored enteric viruses. Astrovirus (AstV) had the highest detection rate (100%), reflecting its broad endemic distribution, while Norovirus genogroup II (NoV GII) exhibited relatively high viral loads (median 4 × 104 copies/mL) and presented explosive seasonal peaks (significant upward trend in spring.), highlighting its epidemic potential. Furthermore, distinct spatiotemporal patterns were observed, with Sapovirus showing a significant summer peak in Foshan city, contrasting with the winter/spring peaks in the other cities. The tNGS results demonstrated similar sensitivity to RT-PCR in virus detection, and sequencing analyses uncovered the co-circulation and periodic shifts in dominant viral genotypes, such as the emergence of multiple NoV and AstV lineages. This longitudinal WBE surveillance successfully established critical baseline data and demonstrated significant regional heterogeneity in viral circulation, providing essential, complementary data to inform public health strategies for preventing diarrheal outbreaks in urban settings. Full article
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