East China University of Technology

Li F., Zhang Z., Zhao C., Han J., Liu J., Guo Y., Tang X., Su C., Chang X., Wu T.

The Junggar Basin basement comprises microcontinental blocks amalgamated through successive paleo-oceanic accretion events. Stratigraphic and provenance studies within the basin are crucial for reconstructing its evolution and understanding the closure of paleo-oceanic systems. This study presents an integrated petrographic and geochemical analysis of the Lower Jurassic Badaowan Formation sandstones in the Dongdaohaizi Depression, located in the eastern Junggar Basin. The results reveal a progressive decrease in lithic fragment content and an increase in quartz content from older to younger strata within the Badaowan Formation, indicating an increase in compositional maturity. Provenance analysis indicates that the sandstones are predominantly derived from tuffaceous rocks, granites, basalts, and minor metamorphic rocks. Heavy mineral assemblages, including zircon, chromian spinel, tourmaline, and garnet, suggest parent rocks consisting primarily of intermediate to acidic igneous rocks, mafic igneous rocks, and metamorphic rocks. Integrated petrographic and geochemical data from the surrounding areas of the Dongdaohaizi Depression confirm that the Badaowan Formation sandstones are primarily sourced from the eastern Kelameili Mountain. The continued uplift and migration of the Kelameili Mountain during the Early Jurassic played a dominant role in shaping the sedimentary provenance. LA-ICP-MS analyses reveal that the rare earth element (REE) concentrations in the Lower Jurassic sandstones are slightly lower than the average REE content of the upper continental crust. The sandstones exhibit weak differentiation between light and heavy REEs, reflecting a depositional environment characterized by anoxic reducing conditions. Geochemical results indicate a tectonic setting dominated by a passive continental margin and continental island arc in the source area. Synthesizing these findings with related studies, we propose that the Kelameili Ocean, as part of the Paleo-Asian Ocean, underwent a complex evolution involving multiple oceanic basins and microcontinental subduction–collision systems. From the Middle Ordovician to Late Silurian, the Kelameili region evolved as a passive continental margin. With the onset of subduction during the Middle Devonian to Early Carboniferous, the eastern Junggar Basin transitioned into a continental island arc system. This tectonic transition was likely driven by episodic or bidirectional subduction of the Kelameili Ocean.

Xue S., He H., Ling M., Zhang W., Ding X., Sun W.

The occurrence of sulfate and fluoride minerals in carbonatite-hosted rare earth element (REE) deposits suggests that sulfur and fluorine play important roles in REE mineralization. However, their influence on the partitioning behavior of REEs during the immiscibility process remains poorly understood. This study performed partitioning experiments to explore the impact of sulfur and fluorine on the liquid immiscibility between carbonatitic melt and alkaline silicate melt at 1000‒1200 °C and 0.5‒2.2 GPa. Surprisingly, the experimental results indicate that the addition of sulfur and fluorine does not significantly change the partition coefficients of trace elements between carbonatitic melt and silicate melt. The key factor determining REE partitioning is the structural difference between the two immiscible melts, which can be characterized by the non-bridging oxygen per tetrahedrally coordinated cation of the silicate melt (NBO/T). Partition coefficients tend to decrease as NBO/T increases. Importantly, REE, SO3, and F exhibit similar behaviors, making sulfate and fluoride minerals useful indicators for exploring carbonatite-hosted REE deposits. Additionally, we used rhyolite-MELTS software to simulate crystallization differentiation and liquid immiscibility in alkaline silicate melts. Modeling results show that the initial CO2 content of silicate melt determines the degree of crystallization at which liquid immiscibility occurs. Lower initial CO2 content enhances the enrichment of REEs in the immiscible carbonatitic melt.

Selmi B., Shen S., Yuan Z.

Measures were constructed on symbolic spaces that satisfy an extended multifractal formalism, where Olsen’s functions [Formula: see text] and [Formula: see text] differ, and their Legendre transforms have the expected interpretation in terms of dimensions. These measures were composed with a Gray code and projected onto the unit interval to obtain doubling measures. It was demonstrated that the projected measure retains the same Olsen’s functions as the original and also satisfies the extended multifractal formalism. In this paper, we show that the use of a Gray code is not essential to achieve these results, even when dealing with non-doubling measures. Moreover, general results on multifractal analysis of inhomogeneous multinomial measures with their non-doubling projections are obtained. The key points of the proof include two main components: the study of weak doubling properties and the method of constructing auxiliary measure to get sharp bound for the dimension under consideration.

Li M., Wang Y., Ni J., Zhang S., Zhao X., Zhu L., Wang Z.

Yang D., Li Z., Lian Y., Fu Z., Li T., Ma P., Yang G.

By introduction of hydrogen peroxide into the reaction system of ZrOCl2·8H2O and K14[As2W19O67(H2O)], a novel polyoxometalate K8Na19.5H0.5[Zr2(O2)2(β-AsVW10O38)]4·68H2O (1) has been successfully obtained via one-pot method and systematically characterized by IR, XPS, solid UV spectra, PXRD pattern, and TGA analysis. The analysis of X-ray crystallography exhibits that compound 1 crystallizes in the triclinic space group P-1 and presents a novel square-shaped Zr-substituted tetrameric polyoxometalate. The catalytic oxidation of sulfides by 1 are carried out, which demonstrate that 1 exhibits a good performance for the catalytic oxidation of sulfides to sulfones with high conversion (100%) and high selectivity (100%).

Pan Y., Zuo Z., Huang X., Zhu R.

Airborne microorganisms (AM) have significant environmental and health implications. Extensive studies have been conducted to investigate the factors influencing the composition and diversity of AM. However, knowledge of AM with anthropogenic activities has not reach a consensus. In this study, we took advantage of the dramatic decline of outdoor anthropogenic activities resulting from COVID-19 lockdown to reveal their associations. We collected airborne particulate matter before and during the lockdown period in two cities. The results showed that it was fungal diversity and communities but not bacteria obviously different between pre-lockdown and lockdown samples, suggesting that airborne fungi were more susceptible to anthropogenic activities than bacteria. However, after the implementation of lockdown, the co-occurrence networks of both bacterial and fungal community became more complex, which might be due to the variation of microbial sources. Furthermore, Mantel test and correlation analysis showed that air pollutants also partly contributed to microbial alterations. Airborne fungal community was more affected by air pollutants than bacterial community. Notably, some human pathogens like Nigrospora and Arthrinium were negatively correlated with air pollutants. Overall, our study highlighted the more impacts of anthropogenic activities on airborne fungal community than bacterial community and advanced the understanding of associations between anthropogenic activities and AM.

Chen X., Che Q., Chen G., Hu T., Zhang J., Tu Q.

As a significant source of greenhouse gas emissions, objectively understanding the quantity of emissions from the livestock industry and their spatiotemporal evolution is crucial for advancing low-carbon and green development in regional livestock industries. Therefore, based on the Life Cycle Assessment (LCA) method, this study estimated greenhouse gas emissions from the livestock industry across 11 municipal regions in Jiangxi Province from 2002 to 2022, revealing the spatiotemporal characteristics of these emissions. The study also employed the Logarithmic Mean Divisia Index (LMDI) model to analyze the influencing factors. The results showed that (1) between 2002 and 2022, total greenhouse gas emissions from Jiangxi Province’s livestock industry exhibited an upward trend, increasing from 13.52 million tons to 21.27 million tons, with an average annual growth rate of 2.36%. (2) During the study period, the spatial patterns of super-high-emission and light-emission zones remained relatively stable, while medium and heavy emission zones showed dynamic evolution. (3) Intensity effects, agricultural structural effects, and rural population size played a suppressive role in livestock greenhouse gas emissions, while regional development levels and urbanization levels were key drivers of increased emissions. Therefore, governments should accelerate the implementation of clean production models, enhance technological innovation, promote pollution reduction at the source, and develop differentiated livestock development strategies based on regional resource endowments and demographic–economic characteristics.

Quan S., Zhang Y., Zeng H.

Kang Q., Jiang Y., Li J., Qin Z., Zhang W., Guo Y., Zhang J.

The study of pore structure in low-permeability sandstone uranium deposits has become a key factor in the profitability of uranium mining. In this paper, pore and fracture distribution in the target sandstone were determined by using mercury injection parameters. Single and multi-fractal models are used to calculate the heterogeneity of pore and fracture volume distribution. Moreover, the correlation between compressibility and the heterogeneity of pore distribution has been studied. The results are as follows. (1) All the samples can be divided into three types by using maximum mercury injection volume and mercury withdrawal efficiency. Type A is represented by a lower maximum mercury injection volume (less than 0.5 cm3·g−1) and a higher mercury withdrawal efficiency (larger than 25%). The volume percentage of pores whose diameter is less than 100 nm and 100~1000 nm in type A samples is larger than that of type B and C samples since in this type of sample, micropores are developed. (2) The fractal dimension value assessed using the Menger model has a good linear relationship with the thermodynamic model, which indicates that the abovementioned models have good consistency in characterizing the pore distribution of tight sandstone. Multi-fractal results show that the lower pore volume in the selected samples controls the heterogeneity of pore distribution in the overall sample. (3) As the effective stress increases, the permeability damage rate gradually increases in a power exponential equation. The correlation between porosity and compressibility is weaker, indicating that only a portion of the pore volume in the sample provides compression space. As the pore volume of 100~1000 nm increases, the compressibility decreases linearly, indicating that pore volumes larger than 1000 nm provide compression space for all the selected samples.

Gao C., Zhang Z., Liu J., Yi K., Liu Y., Wen J.

ABSTRACTMagnetic data inversion excels in identifying surface magnetic anomalies, yet it lacks crucial depth information. On the other hand, direct current resistivity (DC resistivity) measurements can provide more detailed depth information with high vertical resolution. This study focuses on the joint inversion DC resistivity and magnetic data, which combines complementary information to establish a more robust geological model. This method addresses the inconsistencies inherent in separate inversions, thereby enhancing the resolution, stability and interpretability of geological features. We develop a novel joint inversion cost function for DC resistivity and magnetic data. This cost function leverages a model parameter transformation function to bridge the significant discrepancies between resistivity and magnetic susceptibility, thereby offering practical advantages in enhancing the inversion model's accuracy. By incorporating cross‐gradient and fuzzy C‐means (FCM) clustering, we enhance the coupling between inversion parameters and further improve the efficacy of joint inversion. Theoretical and field data inversion results demonstrate that the hybrid constraints, combining cross‐gradient and FCM clustering, notably enhance the inversion performance of the magnetic susceptibility model. This method is capable of effectively recovering boundary anomalies and physical property values, which also resolves the inconsistencies that are often encountered in separate inversions.

Zhang Y., Wang Y., Shen J., Zhang D., Gan Z., Yang B., Gan Z., Wang F.

AbstractAlthough single‐crystal diamond is successfully grown on some other substrate materials, the heteroepitaxial mechanism is still not fully understood. In this research, by analyzing the density of states curve of surface atoms in heterostructures and comparing them with atoms in the bulk material, the electronic properties of the surface atoms can be revealed. Monolayer carbon (C) atoms on cubic boron nitride (c‐BN) surface exhibit some properties of diamond‐like carbon. Conversely, the monolayer C atoms covering the Iridium (Ir) surface demonstrate distinct metallic properties. The C atoms on the surface of the 8‐layer heterostructure exhibit some properties of diamond‐like carbon. This explains why single‐crystal diamond heteroepitaxy growth on Ir film requires the bias‐enhanced nucleation process. However, on the c‐BN surface, single‐crystal diamonds can be grown directly. The method is also used to analyze the heteroepitaxy of indium phosphide (InP) on gallium arsenide (GaAs) and gallium nitride (GaN) on aluminum nitride (AlN), and the results have further confirmed the effectiveness. Therefore, this approach offers a new perspective for identifying suitable substrate materials based on their electronic properties, rather than solely relying on the matching of lattice constants and surface energies.

Xu W., Wang Q., Weinberg R.F., Zhu D., Tian S.

AbstractPercolation of dioritic melts through ultramafic cumulate mushes and their reaction and hybridization have been documented in some arcs, but the impact of the processes on the compositions of arc igneous rocks is not yet fully understood. Here, we investigate the petrogenesis of meladiorites from the ca. 200 Ma Cuijiu Igneous Complex in the eastern Gangdese Arc, southern Tibet. The meladiorites are pervasively intruded by normal diorite dykes and show geochemical affinities with high‐Mg intermediate igneous rocks, and their amphibole is characterized by low‐Mg core and high‐Mg rim. Our new data, together with published data, demonstrate that the meladiorites resulted from hybridization of an ultramafic cumulate mush (∼30%–∼50%) with percolating normal dioritic melts (∼50%–∼70%), and that dissolution‐crystallization and chemical diffusion dominated the hybridization. We propose that percolation of dioritic melts through ultramafic cumulate mushes is a viable way to form hybrid high‐Mg intermediate igneous rocks.

Li X., Tan Y., Liu K., Wang X., Zhou X.

Xu L., Wang X., Qi Y., Yuan C., Ding Z., Xu R.

This study investigates the strength development of cement-stabilized marine clay, which is influenced by a complex interplay of microstructural factors. To optimize its performance for coastal and offshore engineering, we explored the relationship between microstructure and unconfined compressive strength (UCS). Using Scanning Electron Microscopy (SEM) and the Pore/Crack Analysis System (PCAS), we analyzed samples with varying cement contents (10%, 15%, and 20%) and curing times (3, 7, 14, and 28 days). Key microstructural parameters, including porosity, particle shape, size, and arrangement, were quantified and correlated with UCS results. A novel comprehensive micro-parameter was introduced to encapsulate the combined effects of these factors, revealing an exponential relationship with strength development. The findings provide a quantitative framework for predicting the performance of cement-stabilized marine clay, contributing to more efficient solutions in geotechnical engineering.

Zhang L., Shi Q., Xiao S., Zhang Z., Luo Y., Sun C., Liu X., Liang R., Qiu J.