Search Results (211)

The increasing frequency and intensity of extreme weather events pose significant challenges to mountain communities, particularly in terms of flash flood risks. This study presents a framework for stress testing and evaluating flood resilience in mountain communities through the integration of high-resolution InfoWorks ICM two-dimensional hydrodynamic modeling and systematic resilience assessment. The framework makes three key innovations: (1) multi-scale temporal stress scenarios combining short-duration extreme events (1–2 h) with long-duration persistent events (24 h) and historical extremes; (2) integrated infrastructure–drainage stress analysis that explicitly models roads’ dual role as critical infrastructure and emergency drainage channels; and (3) dynamic resilience quantification under multiple stressors across 15 systematically designed stress conditions. Using Western Beijing as a case study, the model is validated, achieving Nash–Sutcliffe efficiency values exceeding 0.9, demonstrating its robust capability in simulating complex mountainous terrain flood processes. Through systematic analysis of fifteen rainfall scenarios designed based on Chicago rainfall patterns and historical events (including the July 2023 Haihe River basin flood), encompassing various intensities (30–200 mm/h), durations (1 h, 2 h, 24 h), and return periods (10, 50, 100 years), the key findings include the following: (1) A rainfall intensity of 60 mm/h represents a crucial threshold for system performance, beyond which significant impacts on community infrastructure emerge, with built-up areas experiencing inundation depths of 0.27–0.4 m that exceed safe passage limits. (2) Road networks become primary drainage channels during intense precipitation, with velocities exceeding 5 m/s in village roads and exceeding 5 m/s in country road sections, creating significant hazard potential. (3) Four major risk spots were identified with distinct waterlogging patterns, characterized by maximum depths ranging from 0.8 to 2.0 m and recovery periods varying from 2 to 12 hours depending on the topographic confluence effects and drainage efficiency. (4) The system demonstrates strong recovery capability, achieving >90% recovery within 3–6 hours for short-duration events, while showing vulnerability to extreme scenarios, with performance declining to 0.75–0.80, highlighting the coupling effects between water depth and flow velocity in steep terrain. This research provides quantitative insights for flood risk management and for enhancing community resilience in mountainous regions, offering valuable guidance for infrastructure improvement, emergency response optimization, and sustainable community development. This study primarily focuses on physical resilience aspects, with socioeconomic and institutional dimensions representing important directions for future research. Full article

The shear strength parameters of landslide zones are the necessary data basis for landslide stability evaluation and landslide surge disaster chain research. It is important to determine the physical and mechanical parameters of landslide zones scientifically and reasonably. In this study, four small residual landslide deposits near the Hei Duo Village road in Diebu County, Gansu Province, were investigated. The research involved detailed field investigations, the construction of landslide engineering geological models, and the use of the transfer coefficient method for simultaneous/inverse inversion and sensitivity analysis of the strength parameters of the four landslides. Based on the inversion results, an analysis of the landslide formation mechanism was conducted. The inversion results yielded the shear strength parameters of the sliding surface soil as c = 30.12 kPa and φ = 21.08°. It was found that the excavation at the base of the slope is the direct triggering factor for the landslides, with the 3# landslide being the most affected by the base excavation. In terms of the type of movement, all four landslides belong to the retrogressive landslide, with the maximum shear strain increment mainly concentrated at the slope angle after excavation. The slope body experiences shear failure, which is in good agreement with the field conditions. The study provides reference for stability prediction and disaster prevention and control of reservoir bank slope. Full article

The rapid urbanization process has accelerated the degradation of ecosystem services (ESs) in peri-urban rural areas of the Yangtze River Delta (YRD), leading to increasing landscape ecological risks (LERs). Establishing a scientifically grounded landscape ecological risk assessment (LERA) system and corresponding control strategies is therefore imperative. Using rural areas of Jiangning District, Nanjing as a case study, this research proposes an optimized dual-dimensional coupling assessment framework that integrates ecosystem service value (ESV) and ecological risk probability. The spatiotemporal evolution of LER in 2000, 2010, and 2020 and its key driving factors were further studied by using spatial autocorrelation analysis and geodetector methods. The results show the following: (1) From 2000 to 2020, cultivated land remained dominant, but its proportion decreased by 10.87%, while construction land increased by 26.52%, with minimal changes in other land use types. (2) The total ESV increased by CNY 1.67 × 10⁹, with regulating services accounting for over 82%, among which water bodies contributed the most. (3) LER showed an overall increasing trend, with medium- to highest-risk areas expanding by 55.37%, lowest-risk areas increasing by 10.10%, and lower-risk areas decreasing by 65.48%. (4) Key driving factors include landscape vulnerability, vegetation coverage, and ecological land connectivity, with the influence of distance to road becoming increasingly significant. This study reveals the spatiotemporal evolution characteristics of LER in typical peri-urban villages. Based on the LERA results, combined with terrain features and ecological pressure intensity, the study area was divided into three ecological management zones: ecological conservation, ecological restoration, and ecological enhancement. Corresponding zoning strategies were proposed to guide rural ecological governance and support regional sustainable development. Full article

Cumulative inhibition of voltage-gated Na⁺ channel current (I_Na) caused by high-frequency depolarization plays a critical role in regulating electrical activity in excitable cells. As discussed in this review paper, exposure to certain small-molecule modulators can perturb I_Na during high-frequency stimulation, influencing the extent of cumulative inhibition and electrical excitability in excitable cells. Carbamazepine differentially suppressed transient or peak (I_Na(T)) and late (I_Na(L)) components of I_Na. Moreover, the cumulative inhibition of I_Na(T) during pulse-train stimulation at 40 Hz was enhanced by lacosamide. GV-58 was noted to exert stimulatory effect on I_Na(T) and I_Na(L). This stimulated I_Na was not countered by ω-conotoxin MVIID but was effectively reversed by ranolazine. GV-58′s exposure can slow down I_Na inactivation elicited during pulse-train stimulation. Lacosamide directly inhibited I_Na magnitude as well as promoted this cumulative inhibition of I_Na during pulse-train stimuli. Mirogabalin depressed I_Na magnitude as well as modulated frequency dependence of the current. Phenobarbital can directly modulate both the magnitude and frequency dependence of ionic currents, including I_Na. Previous investigations have shown that exposure to small-molecule modulators can perturb I_Na under conditions of high-frequency stimulation. This ionic mechanism plays a crucial role in modulating membrane excitability, hereby supporting the validity of these findings. Full article

Under the background of global climate change, shallow landslide clusters induced by extreme rainfall are occurring with increasing frequency, causing severe casualties and economic losses. To address this challenge, this study proposes an integrated approach to support both emergency response and long-term mitigation for rainfall-induced shallow landslides. The workflow includes (1) rapid landslide detection based on time-series image fusion and threshold segmentation on the Google Earth Engine (GEE) platform; (2) numerical simulation of landslide runout using the R.avaflow model; (3) landslide susceptibility assessment based on event-driven inventories and machine learning; and (4) delineation of high-risk slopes by integrating simulation outputs, susceptibility results, and exposed elements. Applied to Qugaona Township in Zhouqu County, Bailong River Basin, the framework identified 747 landslides. The R.avaflow simulations captured the spatial extent and depositional features of landslides, assisting post-disaster operations. The Gradient Boosting-based susceptibility model achieved an accuracy of 0.870, with 8.0% of the area classified as highly susceptible. In Cangan Village, high-risk slopes were delineated, with 31.08%, 17.85%, and 22.42% of slopes potentially affecting buildings, farmland, and roads, respectively. The study recommends engineering interventions for these areas. Compared with traditional methods, this approach demonstrates greater applicability and provides a more comprehensive basis for managing rainfall-induced landslide hazards. Full article

Traditional villages are irreplaceable cultural heritages, embodying complex human–environment interactions. This study uses historical geography analysis, kernel density estimation, centroid migration modeling, and Geodetector techniques to analyze the 2000-year spatiotemporal evolution and formation mechanisms of 224 nationally designated traditional villages in China’s Qinling-Daba Mountains. The findings are as follows: (1) These villages significantly cluster on sunny slopes of hills and low mountains with moderate gradients. They are also closely located near waterways, ancient roads, and historic cities. (2) From the embryonic stage during the Qin and Han dynasties, through the diffusion and transformation phases in the Wei, Jin, Song, and Yuan dynasties, to the mature stage in the Ming and Qing dynasties, the spatial center of these villages shifted distinctly southwestward. This migration was accompanied by expansion along waterway transport corridors, an enlarged spatial scope, and a decrease in directional concentration. (3) The driving forces evolved from a strong coupling between natural conditions and infrastructure in the early stage to human-dominated adaptation in the later stage. Agricultural innovations, such as terraced fields, and sociopolitical factors, like migration policies, overcame environmental constraints through the synergistic effects of cultural and economic networks. Full article

In the course of rural spatial transformation in China, the vicissitudes of the traditional built environment have given rise to the deconstruction of locality, whereas place attachment emerges as the crux for addressing this issue. Considering that current research on how the built environment influences place attachment remains deficient in constructing a multi-dimensional and composite analytical framework from a rural perspective, this paper constructs a ”community–individual” nested analytical framework and establishes a five-dimensional system of rural built environment elements covering roads, boundaries, regions, nodes, and landmarks. On this basis, this paper takes 15 village cases in Leiling Town, Guangdong Province, China, as the research object, using a hierarchical linear model (HLM) to systematically analyze the impact of rural built environment elements on residents’ place attachment. The study finds that 1. At the individual level, the average score of place attachment is 0.61, with females showing significantly higher levels than males, and age and length of residence being positively correlated with place attachment. 2. At the community level, the built environment explains about 15% of the variance in attachment, with the distance from villages to town centers being negatively correlated and building compactness, environmental tidiness, and cultural landmark density being positively correlated. 3. Node–landmark elements have a significantly stronger impact on place attachment than road-boundary and functional-area elements. 4. The influence mechanism follows the identity cycle of “memory identity—place identity—social identity”. Full article

The Lijiang River Basin (LRB) is a karst ecosystem that presents unique challenges for agricultural land planning. Evaluating cultivated land suitability based on natural factors is critical for ensuring food security in this region. This study was based on the cultivated land distribution data of the LRB in the China Land-Use and Land-Cover Chang dataset, selecting 22 restriction factors across five dimensions: climate, topography, soil, hydrology, and social conditions, and the suitability of cultivated land (paddy fields and drylands) in the LRB was evaluated using the MaxEnt model to further identify the main restricting factors affecting the spatial distribution. The research showed that (1) For paddy fields, high-suitability areas covered 2875.05 km², medium-suitability 1670.58 km², low-suitability 3187.25 km², and non-suitable 9368.46 km². The main restriction factors were distance to villages, slope, surface gravel content, soil thickness, soil pH, and total phosphorus content. (2) For drylands, high-suitability areas covered 3282.3 km², medium-suitability 2260.93 km², low-suitability 4536.27 km², and non-suitable 6836.85 km². The main restriction factors were soil thickness, distance to roads, surface gravel content, elevation, soil pH, and soil texture. This research can provide a scientific basis for the layout of food security and planning agricultural land use in the LRB. Full article

This study presents an integrated surveying methodology for efficient and accurate cadastral documentation, combining UAV photogrammetry, SLAM-based terrestrial and aerial scanning, and conventional geodetic measurements. Designed to be scalable across various cadastral and planning contexts, the workflow was tested in Charlottenburg, Romania’s only circular heritage village. The approach addresses challenges in built environments where traditional total station or GNSS techniques face limitations due to obstructed visibility and complex architectural geometries. The SLAM system was initially deployed in mobile scanning mode using a backpack configuration for ground-level data acquisition, and was later mounted on a UAV to capture building sides and areas inaccessible from the main road. The results demonstrate that the integration of aerial and terrestrial data acquisition enables precise building footprint extraction, with a reported RMSE of 0.109 m between the extracted contours and ground-truth total station measurements. The final cadastral outputs are fully compatible with GIS and CAD systems, supporting efficient land registration, urban planning, and historical site documentation. The findings highlight the method’s applicability for modernizing cadastral workflows, particularly in dense or irregularly structured areas, offering a practical, accurate, and time-saving solution adaptable to both national and international land administration needs. Beyond the combination of known technologies, the innovation lies in the practical integration of terrestrial and aerial SLAM (dual SLAM) with RTK UAV workflows under real-world constraints, offering a field-validated solution for complex cadastral scenarios where traditional methods are limited. Full article

During the advancement of modern rural construction, traditional villages in the Xinjiang Oasis face the problem that uncoordinated system development affects scientific development and protection. Therefore, this study derives and constructs a coupling framework for the “Ecology–Humanities–Technology” system. Taking 53 traditional villages in Xinjiang as research objects, it uses the comprehensive evaluation model, the coupling coordination degree (CCD) model, and the geographic detector model to reveal the coupling coordination relationships and driving factors of the “Ecology–Humanities–Technology” system. The research results provide reference for evaluation methods and theoretical guidance for the balanced development of traditional villages in arid regions such as the Xinjiang Oasis. The results show the following: (1) The majority of the traditional villages in the Xinjiang Oasis are in the mild imbalance stage (71.7%). (2) The CCD rankings in various regions of Xinjiang are as follows: eastern Xinjiang > southern Xinjiang > northern Xinjiang. Humanities and technology have significantly different impacts on the traditional villages in different regions. (3) The inheritance level of the technology dimension and other factors are the main internal driving factors. The density of village road networks, the number of conservation and development projects, Baidu Index, and other factors are the main external driving factors. Nonlinear enhancement interaction effects are significant. Full article

Traditional villages in the Yellow River Basin of China are vital carriers of cultural heritage, ecological sustainability, and socio-economic development. This study employs spatial econometric analysis to examine the distribution patterns and influencing factors of 888 traditional villages in the region. The findings reveal a clustering pattern, with high-density areas in Shanxi and medium-density clusters in Shaanxi and Qinghai, while northern and southern regions remain sparse. Over time, the spatial center of village distribution has shifted along a north–south–north–east–west trajectory. The spatial distribution of traditional villages exhibits distinct regional characteristics and differences, shaped by several key influencing factors. These include elevation, precipitation, river proximity, road density, and the presence of cultural heritage units. Results show that in the upper reaches of the Yellow River Basin, natural factors primarily determine village locations. In contrast, economic development and infrastructure factors play a larger role in shaping village transformation in the middle and lower reaches. Policy interventions, such as cultural heritage protection, have a greater impact on remote upper areas. The influence of these factors varies spatially, highlighting the importance of region-specific conservation strategies. Based on these findings, this study proposes targeted strategies for the conservation and development of traditional villages, including multi-type protection systems, cultural corridor construction, watershed-based governance, and enhanced infrastructure and policy support. These strategies aim to support the sustainable development and long-term preservation of traditional villages in the Yellow River Basin. By integrating geographic, economic, and cultural perspectives, this research provides valuable insights into the spatial evolution of traditional villages and informs policy recommendations for achieving balanced rural development. Full article

The site selection and spatial arrangement of rural settlements embody the ethnic characteristics and cultural heritage of ethnic minority groups. Investigating their spatial layout features and underlying determinants can provide both theoretical foundations and practical methodologies for the conservation and development planning of these settlements. This paper takes the representative ethnic minority villages in the first batch of key traditional villages in Liuzhou, Guangxi, as the example, and employs a combination of qualitative and quantitative methods to study the spatial layout characteristics of ethnic minority villages in southern China. This study utilizes GIS-based analytical methods to calculate quantitative indicators based on planar graphs and digital elevation model (DEM) of ethnic minority settlements. The research results show that the spatial distribution of ethnic minority villages in southern China is closely correlated with natural geographical conditions. To be specific, ethnic minority villages in southern China generally distribute in accordance with the terrain and form specific spatial relationships with roads, topography, mountains, and water. Regardless of whether minority residents live on mountain tops or in valleys, they generally prefer gently sloping terrain. In addition, factors such as natural environment (sunshine and water sources, etc.) and traffic conditions are considered comprehensively in the settlement location. On this basis, the spatial layout features of rural settlement are extracted, and corresponding characteristic maps are constructed. The construction framework of the spatial characteristics map established based on “overall layout, architecture, roads and architecture-natural pattern” in this paper can be applied to general rural settlements. The findings can provide both theoretical foundations and practical references for the planning and development of rural settlements across different regions and ethnic groups. Full article

In 1964, the National Forest Reserve Act (B.E. 2507) of Thailand classified all unoccupied forested areas as forest reserve, or pa sanguan. It became illegal to obtain individual land titles in forest reserves, thus reducing the land rights of farmers. In addition, roads could not be built, electricity access could not be provided, and agricultural support programs could not operate on land without land titles. However, in recent years, Thailand’s National Committee on Land Policy (Khana Kammakarn Natyobai Thidin Haeng Chat) has been promoting the Kor Tor Chor (KTC) program for communal land titling, designed to create land tenure clarity but not to provide full ownership rights. The objective of this article is to assess the vertical geographies associated with the KTC program in Nan Province, northern Thailand, and their implications with regard to land rights and accessing government funding, one of the key objectives of KTC. The article reveals that vertical land classification aspects associated with watershed classification present particular challenges to KTC. In particular, we argue that while farmers are generally happy with the benefits that have come to them due to KTC, vertical geographical circumstances have significantly influenced the abilities of village communities to benefit from the KTC program. Full article

Identifying the most suitable areas for developing forest health care in Hainan Tropical Rainforest National Park (HTRNP) is of great significance to its ecological protection and development. This study selected 107 health care points in HTRNP as research objects to monitor environmental factors, a forest health care evaluation system was constructed based on those environmental factors, and the health care resource points were rated. Kernel density analysis and buffer zone analysis were used to analyze other factors such as roads, villages, and water inside and outside of the national park. Multi-factor superposition analysis of the first-level health care points with other impact factors was performed to obtain a map of the distribution of health care potential in different sub-areas of HTRNP. A total of 67 first-level health care points were selected through the forest health care evaluation system. Through superposition analysis, it was found that, among the seven sub-areas of HTRNP, there are 42 first-level health care points within the 5 km buffer zone for roads and waterways, including 11 in Diaoluo Mountain, 10 in Limu Mountain, 6 in Yingge Ridge, 5 in Jianfeng Ridge, 4 in Bawang Ridge, 4 in Maorui, and 2 in Wuzhi Mountain. There are nine first-level health care points located in the area with a village kernel density greater than 3000, including three in Diaoluo Mountain, two in Limu Mountain, two in Yingge Ridge, and two in Maorui. At the same time, to meet the above two conditions of the first level of health care points, there are six, including three in Diaoluo Mountain, two in Maorui, and one in Yingge Ridge. Through the results analysis, Diaoluo Mountain is considered to be the area with the greatest potential for developing forest health care in HTRNP. In addition, the comprehensive performance of Limu Mountain is second only to Diaoluo Mountain, and Limu Mountain, Maorui, and Yingge Ridge are listed as areas with great potential for developing forest health care. Full article

For avalanche risk management, local authorities need streamlined and quantitative approaches to define the risk of exposed elements. In this paper, two quantitative avalanche risk assessment approaches are compared: (1) Wilhelm’s method, referring exclusively to transport routes, defines numerically the risk, and (2) the multi-criteria risk assessment (McRA) (Italian avalanche risk guidelines), which defines the risk through categorical results. It provides a degree of avalanche risk to which the element is exposed, according to the definition of a risk class (RC). This method allows a simplified avalanche risk analysis for different types of buildings or infrastructures. The paper presents a comparison of the two methods for studying avalanche risk on a stretch of road that reaches the village of Planpincieux in Val Ferret (Aosta Valley, IT), highlighting their advantages and drawbacks. Additionally, to demonstrate the flexibility of the multi-criteria risk assessment, a risk analysis was performed on the hotel in Planpincieux hamlet. The key findings illustrate that Wilhelm’s method shines in defining the risk posed by diverse avalanche paths, but is hampered by imprecise parameter definition. McRA, by means of the RC, allows hierarchical and direct assessment of the risk severity at the territory scale but requires hazard intensity maps. Full article