Search Results (202)

The precise characterization of surface rupture zones and associated co-seismic displacement fields from large earthquakes provides critical insights into seismic rupture mechanisms, earthquake dynamics, and hazard assessments. Stereo-photogrammetric digital elevation models (DEMs), produced from high-resolution satellite stereo imagery, offer reliable global datasets that are suitable for the detailed extraction and quantification of vertical co-seismic displacements. In this study, we utilized pre- and post-event WorldView-2 stereo images of the 2024 Ms7.1 Wushi earthquake in Xinjiang to generate DEMs with a spatial resolution of 0.5 m and corresponding terrain point clouds with an average density of approximately 4 points/m². Subsequently, we applied the Iterative Closest Point (ICP) algorithm to perform differencing analysis on these datasets. Special care was taken to reduce influences from terrain changes such as vegetation growth and anthropogenic structures. Ultimately, by maintaining sufficient spatial detail, we obtained a three-dimensional co-seismic displacement field with a resolution of 15 m within grid cells measuring 30 m near the fault trace. The results indicate a clear vertical displacement distribution pattern along the causative sinistral–thrust fault, exhibiting alternating uplift and subsidence zones that follow a characteristic “high-in-center and low-at-ends” profile, along with localized peak displacement clusters. Vertical displacements range from approximately 0.2 to 1.4 m, with a maximum displacement of ~1.46 m located in the piedmont region north of the Qialemati River, near the transition between alluvial fan deposits and bedrock. Horizontal displacement components in the east-west and north-south directions are negligible, consistent with focal mechanism solutions and surface rupture observations from field investigations. The successful extraction of this high-resolution vertical displacement field validates the efficacy of satellite-based high-resolution stereo-imaging methods for overcoming the limitations of GNSS and InSAR techniques in characterizing near-field surface displacements associated with earthquake ruptures. Moreover, this dataset provides robust constraints for investigating fault-slip mechanisms within near-surface geological contexts. Full article

Heavy metal contamination in groundwater has emerged as a significant environmental issue, driven by rapid industrialization and intensified human activities, particularly in southern China. Heavy metal pollution in groundwater often presents complex spatial patterns and multiple sources; understanding the spatial heterogeneity and controlling factors of heavy metals is crucial for pollution prevention and water resource management in industrial regions. This study applied spatial autocorrelation analysis and self-organizing maps (SOM) coupled with K-means clustering to investigate the spatial distribution and key influencing factors of nine heavy metals (Cr, Fe, Mn, Ni, Cu, Zn, As, Ba, and Pb) in a typical industrial area in southern China. Heavy metals show significant spatial heterogeneity in concentrations. Cr, Mn, Fe, and Cu form local hotspots near urban and peripheral zones; Ni and As present downstream enrichment along the river pathway with longitudinal increase trends; Zn, Ba, and Pb exhibit a fluctuating pattern from west to east in the piedmont region. Local Moran’s I analysis further revealed spatial clustering in the northwest, riverine zones, and coastal outlet areas, providing insight into potential source regions. SOM clustering identified three types of groundwater: Cluster 1 (characterized by Cr, Mn, Fe, and Ni) is primarily influenced by industrial pollution and present spatially scattered distribution; Cluster 2 (dominated by As, NO₃⁻, Ca²⁺, and K⁺) is associated with domestic sewage and distributes following river flow; Cluster 3 (enriched in Zn, Ba, Pb, and NO₃⁻) is shaped by agricultural activities and natural mineral dissolution, with a lateral distribution along the piedmont zone. The findings of this study provide a scientific foundation for groundwater pollution prevention and environmental management in industrialized areas. Full article

Background: Autism spectrum disorder (ASD) is a neurodevelopmental condition with a complex and multifactorial etiology, diagnosed on the basis of clinical criteria. Medical comorbidities are common and often lead to instrumental examinations; however, the clinical utility of routinely performing such tests remains uncertain. This study aimed to assess the practical value of instrumental assessments in ASD by examining both prescribing behaviors and the prevalence of abnormal findings in a sample of autistic children. Methods: A combined-method approach was adopted: (1) an online survey of child neuropsychiatrists across the Piedmont region (Italy) explored current attitudes and practices regarding instrumental testing in children with ASD; (2) a retrospective cross-sectional analysis examined the frequency and clinical relevance of abnormal findings in ASD patients who underwent comprehensive testing at a tertiary hospital in Turin. Results: The survey showed that 85.7% of centers follow specific protocols for instrumental examinations, though practices vary considerably. Genetic testing and blood analyses are routinely performed, while EEG, MRI, audiometry, and metabolic screenings are generally based on clinical indication. In the retrospective study, instrumental tests revealed a low rate of clinically significant findings. Clinically relevant genetic abnormalities were detected in 7.9% of CGH-array tests. EEG abnormalities were seen in 9% of cases, though 57% had nonspecific or unclear results. Among biochemical parameters, notable findings included altered lipid profiles (45%), ferritin deficiency (24%), and anemia (12.5%) and no metabolic disorders were identified. Discussion: These findings highlight substantial variability in clinical practice and suggest that while some instrumental tests may provide valuable insights, routine screening is often of limited benefit. The high prevalence of nonspecific findings reinforces the need for careful clinical correlation, emphasizing the importance of balancing comprehensive assessment against the risks of over-testing and challenges in interpreting results. Future research should focus on developing evidence-based guidelines for instrumental assessments in this population. Full article

In recent years, major breakthroughs have been achieved in oil and gas exploration within China’s complex thrust–fault zones in the western region, confirming their significant potential. The northern piedmont zone of the Turpan–Hami Basin, a classic thrust–fold belt formed by the Bogda Orogenic belt’s overthrusting, has seen the discovery of several Jurassic–Cretaceous hydrocarbon fields, yet exploration at its thrust-front margins remains relatively underdeveloped. This study focuses on the central piedmont segment at Qialekan and Kekeya, integrating 3D seismic data with fault-related folding theory and balanced cross-section restoration to systematically analyze the area’s tectonic evolution. We specifically examine the formation and modification of wedge structures and assess their petroleum geological significance. Our results indicate that the wedge bodies formed in the Late Jurassic, along with their subsequent basinward insertion, critically controlled the present-day structural framework. In the Qialekan area, wedge formation coincided with the main hydrocarbon expulsion phase of underlying Permian source rocks. Type I faults acted as effective migration pathways, while later tectonic reworking was limited, favoring for hydrocarbon preservation. In contrast, in the Kekeya area, wedge structures underwent intense modification by Type II faults, which pierced the wedge and facilitated vertical hydrocarbon migration, creating a mixed-source accumulation pattern. The findings of this study provide new theoretical insights and practical guidance for future exploration in the northern piedmont zone and also offer a valuable reference for hydrocarbon exploration in structurally similar foreland basins. Full article

The response mechanisms of vegetation dynamics to climate change in arid regions, particularly under extreme low-altitude and high-temperature environments, remain unclear. Focusing on China’s lowest and hottest Turpan-Hami Basin, this study investigates the spatiotemporal evolution of vegetation cover (using MODIS NDVI) and its response to temperature, precipitation, and potential evapotranspiration (PET) based on data from 2001 to 2020. Theil–Sen trend analysis, the Mann–Kendall test, and Pearson correlation were employed. Key findings include the following: (1) NDVI exhibited a significant increasing trend, with the largest rise in winter and peak values in summer. Spatially, high NDVI was concentrated in oasis and mountainous forest-grassland zones, while low values prevailed in desert Gobi regions; 34.2% of the area showed significant improvement, though localized degradation occurred. (2) Temperature showed no significant overall correlation with NDVI, except for strong positive correlations in limited high-altitude cold zones (2.9%). Precipitation had minimal influence (no correlation in 75.4% of the area), with localized positive responses in northwestern foothills linked to runoff. PET exhibited positive correlations (weak or strong) with NDVI across nearly half of the region (46.8%), predominantly in oasis-desert and piedmont transition zones. (3) Human activities, notably irrigation and shelterbelt projects, are key drivers of oasis vegetation restoration. Critically, the positive PET-NDVI correlation challenges the conventional paradigm viewing evapotranspiration solely as water stress. This study elucidates the compound responses of vegetation dynamics to climatic and anthropogenic factors in a low-altitude arid region, providing a scientific basis for ecological restoration and water resource management optimization. Full article

Water hardening and NO₃⁻ pollution have affected water quality globally. These environmental problems threaten social sustainability and human health, especially in piedmont agricultural areas. The aim of this study is to determine the biogeochemical mechanisms of HCO³–Ca water and NO₃⁻ pollution in a typical piedmont agricultural area (Qingshui River, Zhangjiakou, China). Here, an extensive biogeochemical investigation was conducted in a typical piedmont agricultural area (Qingshui River, China) using multiple hydrochemical, isotopic (δ²H-H₂O, δ¹⁸O-H₂O and δ¹³C-DIC) and molecular-biological proxies in combination with a forward model. In the region upstream of the Qingshui River, riverine hydrochemistry was dominated by HCO₃–Ca water, with only NO₃⁻ concentrations (3.08–52.8 mg/L) exceeding the acceptable limit (10 mg/L as N) for drinking water quality. The riverine hydrochemistry responsible for the formation of HCO₃–Ca water was mainly driven by carbonate dissolution, with a contribution rate of 49.8 ± 3.96%. Riverine NO₃⁻ was mainly derived from agricultural NH₄⁺ emissions rather than NO₃⁻ emissions, originating from sources such as manure, domestic sewage, soil nitrogen and NH₄⁺-synthetic fertilizer. Under the rapid hydrodynamic conditions and aerobic water environment of the piedmont area, NH₄⁺-containing pollutants were converted to HNO₃ by nitrifying bacteria (e.g., Flavobacterium and Fluviimonas). Carbonate (especially calcite) was preferentially and rapidly dissolved by the produced HNO₃, which was attributed to the strong acidity of HNO₃. Therefore, higher levels of Ca²⁺, Mg²⁺, HCO₃⁻ and NO₃⁻ were simultaneously released into river water, causing riverine HCO₃–Ca water and NO₃⁻ pollution in the A-RW. In contrast, these biogeochemical mechanisms did not occur significantly in the downstream region of the river due to the cement-hardened river channels and strict discharge management. These findings highlight the influence of agricultural HNO₃ on HCO₃–Ca water and NO₃⁻ pollution in the Qingshui River and further improve the understanding of riverine hydrochemical evolution and water pollution in piedmont agricultural areas. Full article

Pantoea stewartii subsp. stewartii (Pss) is a Gram-negative bacterium causing Stewart wilt, a severe disease in maize. Native to North America, it has spread globally through the maize seed trade. Resistant maize varieties and insecticides are crucial to mitigate the disease’s economic impact. Pss is a quarantine pest, requiring phytosanitary certification for the seed trade in European countries. Accurate diagnostic tests, including real-time PCR, are fundamental to detect Pss and distinguish it from other bacteria, like Pantoea stewartii subsp. indologenes (Psi), a non-quarantine bacteria associated with maize seeds. Population genetics is a valuable tool for studying adaptation, speciation, population structure, diversity, and evolution in plant bacterial pathogens. In this study, the key activities of interlaboratory comparisons are reported to assess diagnostic sensitivity (DSE), diagnostic specificity (DSP) and accuracy (ACC) for different real-time PCR able to detect Pss in seeds. The results of complete sequencing of Italian bacterial isolates are presented. This study enhances our understanding of molecular methods for diagnosing and identifying pathogens in maize seeds, improving knowledge of Pss genomes to prevent their spread and trace possible entry routes from endemic to non-endemic areas. Full article

This study addresses the limitations of machine learning in regional groundwater dynamics research, particularly the insufficient integration of the hydrogeological background and low simulation accuracy. Focusing on the shallow groundwater in the Hebei Plain south of Beijing and Tianjin, we integrate static data, including hydrogeological parameters, with the commonly used time-series data. A novel regionalization strategy based on depositional systems is proposed to enhance the model’s spatial adaptability. The Long Short-Term Memory (LSTM) model, augmented with an attention mechanism, adjusts the dynamic model weights using static data to reflect geological impacts on groundwater dynamics. Comparative results show that the refined regionalization and the inclusion of static data significantly improve the accuracy of the model. Based on the fitting results, the comparison of shallow groundwater level prediction between 2023 and 2040 under two mining conditions shows that the continuous implementation of the pressure mining policy has accelerated the recovery of water level, and the rise in groundwater level is obviously different between regions. The alluvial fan in the piedmont has the largest rise, and the marine sedimentary plain has the smallest rise. This study provides a new method for analyzing groundwater dynamics under complex hydrogeological conditions and provides a basis for regional groundwater management and sustainable utilization. Full article

Background: Gambling risk behaviour is an emerging problem among adolescents. This study investigated the role of psychological factors, school behaviours, and normative perceptions as correlates of gambling among 12–14-year-old students in Italy. Methods: The study included 1822 students from 29 secondary schools in two Italian Regions (Piedmont and Lazio) who participated in the baseline survey of the experimental controlled trial “GAPUnplugged”. Results: The prevalence of gambling in the last 30 days was 36.4%. The mean age was 13.1 years. Multilevel mixed-effect regression models identified high positive attitudes, high performance beliefs, low risk perceptions toward gambling, friends’ gambling, friends’ approval of gambling, and gambling with friends as independent correlates of adolescent gambling behaviour. Conclusions: It appears essential to design and implement preventive strategies addressing these factors among early adolescents in order to reduce gambling behaviours and their consequences in later ages. Full article

The extreme rainstorm flood disaster in Beijing on 31 July 2023 resulted in 33 fatalities and 18 missing persons, with direct economic losses across the Beijing–Tianjin–Hebei metropolitan area exceeding RMB 10 billion. Despite its inland location, which is not conventionally classified as a flood-prone zone, Beijing is not conventionally considered a flood-prone region, yet it frequently experiences flood disasters, which has led to confusion and perplexity. This article collects records of historical flooding disasters in Beijing over the past 1000 years, spanning the Jin, Yuan, Ming, and Qing dynasties, the Republics of China, and the founding of New China up to the present, aiming to analyze the basic patterns and characteristics of regional historical flooding disasters. Taking the extreme rainstorm flood disaster in Beijing on 31 July 2023 as an example, this research employs a multidisciplinary approach, including field investigations and numerical simulations, to dissect the disaster-causing mechanisms. The study shows that the significant characteristics of historical flood disasters in Beijing are concentrated in the plain area and the high-frequency outbreaks (below the 3-year return period). Flood disaster events under the participation of typhoons accounted for a high proportion and caused great harm. The extreme rainstorm flood disaster in Beijing on 31 July 2023 was an extreme weather event under the complex coupling of typhoons and terrain. The residual typhoon circulation stayed on the mainland for nearly 70 h, providing abundant precipitation conditions for Beijing. Water vapor is blocked by the Yanshan–Taihang Mountains, uplifting and converging, forming a strong precipitation center in the Piedmont, which aggravates the regional local precipitation intensity. The research results can provide a reference for the scientific prevention and control of typhoon rainstorm flood disasters in Beijing. Full article

A syndrome called “Kiwifruit Decline Syndrome” (KiDS) affects kiwifruit in several Mediterranean areas, causing growth arrest and wilt that rapidly progress to desiccation, scarce root growth, absence of fibrous roots, brown soft-rotting areas, and cortical detachment from the central cylinder. The origin is considered multifactorial, and a correlation with hydraulic conductance impairment caused by a high vapor pressure deficit (VPD) and temperature was detected. In this work, over-tree micro-sprinkler irrigation and shading nets were tested to protect leaves from overheating and locally decrease VPD. Leaf gas exchanges, leaf temperature, stem water potential, stem growth, root starch content, root xylem vessel diameter, density, and vulnerability to cavitation were assessed. A positive effect of over-tree irrigation associated with shading was observed: lower leaf temperature, higher stem water potential, stomatal conductance, and photosynthesis were detected; moreover, root starch content was higher in the summer. Narrow xylem vessel diameters were observed, indicating a long-term adaptation to rising VPD for lower vulnerability to cavitation, in all plants, but higher diameter, lower density, and higher vulnerability index indicated lower plant water stress under over-tree irrigation associated with shading. These results indicate that microclimate control by proper agronomic management can protect kiwifruit from climate stress, decreasing the risk of KiDS onset. Full article

The population of the southeastern USA is exposed to frequent extreme summertime high heat and humidity and is thus vulnerable to the resulting human thermal stress. Regional dew point variability in the USA is relatively underexplored in the literature compared to extreme heat. Here, we analyze hourly summer dew point data from 34 cities in the region during the period 1973–2022 (n = 50) to identify annual values of extreme dew point hours (EDH) and extreme dew point days (EDD). Regionally, significant (p ≤ 0.05) positive trends for both EDH (r_s = 0.28, R² = 0.078, +1.53 EDH/year) and EDD (r_s = 0.30, R² = 0.086, +0.05 EDD/year) occurred, although not all stations had increased dew point temperatures. Rather, positive changes are most concentrated among stations located along the upper Piedmont of the southern Appalachian Mountains. Conversely, no significant (i.e., p < 0.05) differences in either aggregate mean values of EDH or EDD occurred when splitting the data into early (1973–1997) and late (1998–2022) periods. High summer values of EDH and EDD are associated with variability in the 500 hPa geopotential height flow over North America. In particular, anomalous high pressure over the Gulf of Alaska is associated with the highest frequencies of summer extreme dew points in the study area, and vice versa. This connection to slow-changing ocean–atmosphere variability could lead to enhanced predictability of periods of extreme high dew point conditions in the Southeast, with implications for human well-being. Full article

Background: Nationwide studies described a reduction in preterm birth (PTB) during the Coronavirus disease 19 (COVID-19) pandemic, but this was not confirmed in others. Very few data are available on the trend of PTBs over a longer period, including the post-pandemic period, and on potential risk factors, especially those associated with social disparities. Objective: To investigate the trend in PTB rates and the influence of maternal risk factors in Italy from January 2018 to December 2022, based on 12 Regional Birth Registries covering 86.1% of Italian births. Methods: PTB trend was investigated by an interrupted time series analysis. We assessed the associations of potential risk factors with PTB (Poisson regressions) and calculated their population impact fractions (PIFs). Results: We studied 1,762,422 births; 7.25% were PTB. Before the pandemic, we observed a monthly decrease in PTB rate [−0.2% (95% CI: −0.3; −0.1)]; from July 2020 onwards, the average monthly level of PTBs was 5% lower than before (95% CI: −7.3; −2.7), with a flat trend until December 2022 [−0.02% (95% CI: −0.5; 0.5)]. Socio-economic maternal risk factors (low education, unemployment) and foreign nationality, whose risk ratios were 1.14 (95% CI: 1.04; 1.24), 1.08 (1.05; 1.12), and 1.17 (1.14; 1.21), respectively, showed a decreasing trend after pandemic; their impact on the decrease in PTBs was modest (PIFs between −2.4‰ and −4.2‰). Conclusions: The COVID-19 pandemic changed the pattern of PTB rates in Italy, lowering their average frequency and interrupting a previous decreasing trend. Changes in the trend of socio-economic maternal risk factors marginally explained this pattern. Full article

Since the 19th century, the cultivation of Ocimum basilicum L. has increasingly been established in Liguria, with the in situ reproduction of seeds. Over the years, Ligurian basil accessions were crossed with allochthonous genomes to obtain disease-resistant plants. To preserve the original genetic resource, nine old Ligurian accessions (CV1–9) were recovered. As part of the PSR 2014–2022 Mis. 10.2 of Liguria Region, this work aimed to characterize these CVs by morphological and phytochemical analyses to safeguard their biodiversity. Commercial O. basilicum Genovese Superbo grown in Liguria (SL) was added for comparison. The micro-morphological investigation showed significantly different trichome densities among the samples. CV4 showed the highest densities of both peltate and capitate trichomes, while CV9 and CV1 had the lowest peltate and capitate densities, respectively. In addition, to perform the germplasm characterization, seed morphometric data and germinability were evaluated. Volatile Organic Compounds (VOCs) analysis was carried out on CV1–9, SL, and Superbo plants grown in Piedmont (SP), to test the influence of territory on basil aromatic profiles. The results showed that the old accessions and SL were rich in linalool, eugenol, and bergamotene. Only CV1 slightly differed, with higher levels of methyl eugenol, eucalyptol, and camphor. On the contrary, SP had very high levels of methyl eugenol and camphor. These data represent valuable insights for preserving Ligurian old basil accessions and maintaining the production of Genovese Basil PDO (Protected Designation of Origin) in the future. Full article

‘Timorasso’ is an autochthonous, non-aromatic white grape variety cultivated mainly in the southwest of the Piedmont region (northwestern Italy). The sensory profile of wines produced from this variety evolves greatly with aging. In this study, 31 wines from 2015–2021 vintages were analyzed to investigate changes in sensory descriptors at various stages of aging and their correlation with physicochemical properties (wine basic parameters, color, and total polyphenols) and sensory-perceptual typicity. A sensory analysis was conducted by a panel of experts, who were asked to indicate the in-mouth and aroma descriptors. The aroma-related terms were analyzed as individual descriptors or grouped in “Categories”. Moreover, the panel rated the Color, In-Mouth, and Aroma typicity of these wines. ‘Timorasso’ based wines were found to have, on average, a relevant alcohol content (14.20 ± 0.56% v/v), moderate acidity (5.8 ± 0.6 g/L), and low pH (3.19 ± 0.09). In fact, Timorasso wines were sensorially identified in terms of citation frequency with the in-mouth descriptors acidity (32.9%), sapidity (25.5%), and minerality (17.4%). The aroma of younger wines (2 years of aging) was characterized by “Green”, “White flowers”, “White pulp fruit”, and “Citrus”. In general, the most cited aroma category was “Kerosene” (27.9%), distinguishing wines with 5–6 years of aging. “Kerosene” category correlated with Aroma typicity (p < 0.001), as well as with “Balsamic” (10.8%, p < 0.01) and “Empyreumatic” (5.5%, p < 0.05) aroma categories. Full article