Southern Anhui Research Articles

A Comprehensive Study of Water Resource–Environment Carrying Capacity via a Water-Socio-Ecological Framework and Differential Evolution-Based Projection Pursuit Modeling

Water resources are fundamental to sustaining life, fostering social development, and maintaining ecological balance. This study focuses on Anhui Province (AP) as the research area, employing 22 indicators from the Water-Socio-Ecological (WSE) framework for the water resource‒water environment carrying capacity (WR‒WECC) of AP. The WR-WECC of AP is assessed via differential evolution projection pursuit modeling (DE-PPM). Additionally, the degree of coupled coordination model (DCCM) is utilized to analyze the coordinated development among the municipalities of AP, whereas the obstacle degree model is employed to identify the primary obstacles affecting the enhancement of the WR-WECC and to forecast them via autoregressive composite moving averages. The findings of the study are as follows: (1) WR-WECC in AP showed a steady upward trend, and the water, socio-economic, and ecological subsystems showed a fluctuating upward trend, with ES increasing the fastest. The overall WR-WECC of each city shows a fluctuating upward trend, and the spatial gap narrows, with Southern Anhui (SA) > Central Anhui (CA) > Northern Anhui (NA). (2) The DCC of the WSE carrying capacity of AP also shows a fluctuating upward trend, gradually transitioning from barely coordinated to well coordinated. The DCC level of the WR-WECC in SA is better than that in CA and NA, and the growth rate is greater than that in CA and NA, whereas the DCC level in CA is better than that in NA, and the DCCs of the three major regions show an upward trend. (3) The degree of obstruction at the criterion level of AP’s WR-WECC basically maintains the following order: WS > SS > ES. In the indicator layer, the water supply modulus, water production modulus, and proportion of tertiary industry are the main obstacle factors restricting the enhancement of the WR-WECC of AP. (4) The prediction results for 2025–2040 indicated that the WR-WECC level and the three subsystem levels of AP showed a continuous increasing trend. Measuring WR-WECC plays a crucial role in regional sustainable development.

Research on the Impact of Real Estate Investment on Housing Prices

The real estate market occupies a core position in the national economic system, and its steady development is very important to maintain the steady growth of macro economy and promote the balanced progress of social well-being. This paper aims to explore the impact of real estate investment on housing prices and its regional heterogeneity, using the data of 16 prefecture-level cities in Anhui Province from 2001 to 2022. Using two-way fixed effect model, we find that real estate investment has a significant positive impact on housing price, which is still robust after controlling economic variables such as economic development level, government intervention degree, industrial structure, human capital and asset scale. The heterogeneity analysis further reveals that there are significant differences in the impact of real estate investment on housing price in northern Anhui, central Anhui and southern Anhui, and the positive impact in central Anhui and southern Anhui is more significant. Based on these conclusions, this paper puts forward targeted policy recommendations, including implementing regional differentiated regulation strategy, maintaining the balance between market supply and demand, strengthening market supervision, promoting the coordination between economic development and housing policy, and providing financial policy support, to promote the stable and healthy development of the real estate market in Anhui Province. The results not only provide a new perspective for understanding the operation mechanism of the real estate market, but also provide theoretical and empirical basis for formulating effective macro-control policies, which has reference significance for real estate market regulation in other regions.

Enrichment and Source Apportionment of Heavy Metals in Selenium-Enriched Soils in Eastern China.

Selenium (Se)-enriched soils in southern Anhui Province, eastern China, exhibit significantly elevated geochemical backgrounds of heavy metals (HMs). However, the enrichment characteristics and sources of these HMs require further elucidation. This study conducted comprehensive geochemical analyses on soils and underlying bedrocks to investigate the enrichment and sources of eight HMs including As, Cd, Cr, Cu, Mo, Pb, Zn, and Ni. The concentrations of HMs in Se-enriched soils generally exceed regional background values and even surpass risk screening thresholds in China, particularly for As, Cd, and Mo. Sequential extraction analysis reveals that As, Pb, and Cr in Se-enriched soils are predominantly associated with the residual fraction (>50%). In contrast, Cd is characterized by high bioavailability, with 29.85% found in the exchangeable fraction and 14.01% in the carbonates fraction. Pb isotope tracing indicates that the sources of Pb in soils derive from the weathering of underlying bedrocks (34.59%), coal combustion (34.21%), and vehicle exhaust (31.20%). Using the positive matrix factorization (PMF) model, four primary sources of HMs in these soils were identified: (1) mining and smelting activities associated with coal combustion (Cd, Cr, Zn); (2) weathering of the underlying bedrocks; (3) leaching from Mo-rich ores in bedrocks; and (4) traffic emissions and agricultural inputs. These findings establish a scientific basis for the effective utilization and management of Se-enriched soils.

Response of Bird Communities to Human-Dominated Habitats in Southern Anhui Mountainous Area, China

Response of Bird Communities to Human-Dominated Habitats in Southern Anhui Mountainous Area, China

The Spatiotemporal Epidemiology and Influencing Factor Analysis of Leptospirosis - Anhui Province, China, 2004-2023.

Leptospirosis has historically been a severe public health concern across multiple Chinese provinces. Despite an overall decline in incidence in recent years, the disease continues to exhibit fluctuations and occasionally triggers localized outbreaks. This study aimed to characterize the demographic and spatiotemporal patterns of leptospirosis in Anhui Province - a historically significant epidemic region - from 2004 to 2023, to investigate potential climatic and environmental risk factors, and to identify critical targets for disease prevention and control. Spatiotemporal cluster analysis was conducted using SaTScan software. Spearman correlation analysis was performed using SPSS to examine the short-term lagged effects of rainfall, temperature, and normalized difference vegetation index (NDVI) on leptospirosis incidence in the high-risk counties of Huaiyuan and Jingde. A total of 458 leptospirosis cases were reported across Anhui Province during the 20-year study period. Middle-aged individuals (40-59 years), males, and agricultural workers constituted the primary high-risk populations. Spatiotemporal scanning identified nine adjacent hotspots in southern Anhui during 2004-2012, with a subsequent shift to Huaiyuan County in the northern Huaihe River Basin during 2016-2021. Significant associations were observed between leptospirosis cases and temperature, rainfall, and NDVI in both Huaiyuan and Jingde counties. This study revealed significant spatial heterogeneity, distinct spatiotemporal clustering patterns, and potential climatic and environmental risk factors for leptospirosis in Anhui Province during 2004-2023. These findings provide critical information regarding target regions, high-risk populations, and climatic and environmental factors to inform early warning systems and enhance prevention and control strategies for leptospirosis.

Variability Identification and Uncertainty Evolution Characteristic Analysis of Hydrological Variables in Anhui Province, China.

Variability identification and uncertainty characteristic analysis, under the impacts of climate change and human activities, is beneficial for accurately predicting the future evolution trend of hydrological variables. In this study, based on the evolution trend and characteristic analyses of historical precipitation and temperature sequences from monthly, annual, and interannual scales through the Linear Tendency Rate (LTR) index, as well as its variability point identification using the M-K trend test method, we further utilized three cloud characteristic parameters comprising the average Ex, entropy En, and hyper-entropy He of the Cloud Model (CM) method to quantitatively reveal the uncertainty features corresponding to the diverse cloud distribution of precipitation and temperature sample scatters. And then, through an application analysis of the proposed research framework in Anhui Province, China, the following can be summarized from the application results: (1) The annual precipitation of Anhui Province presented a remarkable decreasing trend from south to north and an annual increasing trend from 1960 to 2020, especially in the southern area, with the LTR index equaling 55.87 mm/10a, and the annual average temperature of the entire provincial area also presented an obvious increasing trend from 1960 to 2020, with LTR equaling about 0.226 °C/10a. (2) The uncertainty characteristic of the precipitation series was evidently intensified after the variability points in 2013 and 2014 in the southern and provincial areas, respectively, according to the derived values of entropy En and hyper-entropy He, which are basically to the contrary for the historical annual average temperature series in southern Anhui Province. (3) The obtained result was basically consistent with the practical statistics of historical hydrological and disaster data, indicating that the proposed research methodologies can be further applied in related variability diagnosis analyses of non-stationary hydrological variables.

Alteration in network centrality of psychopathology symptoms in public bus driver between the COVID-19 control policies unbundling

BackgroundBus drivers face complex work challenges and high infection risks, particularly heightened during the COVID-19 pandemic, which significantly affects their mental health. This study used network analysis to conduct a longitudinal follow-up of the psychological symptom network of bus drivers, utilizing the Symptom Checklist-90-Revised (SCL-90-R).DesignA repeated-measures self-controlled observational design was used to survey 1,600 intercity bus drivers in a city in southern Anhui, China, in September 2022 and January 2023, respectively, and participant data were analyzed using regularized partial correlation network analysis.ResultsA total of 1134 (74.56%) completed the two surveys, 1121 (98.9%) were male, with a mean age of 47.3 ± 6.27 years, and all had junior high school education and above. The results showed a significant reduction in the severity of psychological symptoms among bus drivers the second time around. Anxiety remained the core symptom in the network; however, depression emerged as a secondary core symptom following the relaxation of policies related to COVID-19. Additionally, the weights of significant edges in the symptom network also changed.ConclusionAlthough this study lacked causal inference and relied on self-reported symptoms, it reveals changes in bus drivers' psychological symptom networks under two psychological physical examinations, highlighting the implications of COVID-19 and subsequent policy changes for future research and intervention to improve mental health among this population.

The Effects of Nutrient and Water Use Efficiency on Plant Species Diversity in the Understory of Broad-Leaved Evergreen Forests

The factors driving plant species diversity in different forest types and layers are still insufficiently understood. Therefore, we investigated the limiting factors of nutrient and water use efficiency in three forest layers (arbor, shrub and herb layers) and two forest types (plantation forest and natural forest), as well as their potential relationship with plant species diversity. The study area is located in mid-latitude evergreen broad-leaved forest ecosystems in southern Anhui province. The nitrogen content in the soil (2.90 g kg−1) exceeded the national average for forest ecosystems (1.06 g kg−1), whereas the phosphorus content (0.43 g kg−1) was below the national average for such ecosystems (0.65 g kg−1). The plant species diversity in the arbor layer was comparatively low, and nitrogen exerted a more substantial influence on it. In contrast, phosphorus had the most significant impact on the shrub and herb layers. In conclusion, nitrogen has little effect on plant growth patterns in this area, while there is a potential role for phosphorus in regulating plant succession rates. There are phenomenon of excessive nitrogen deposition and phosphorus loss in this forest ecosystem. Despite the fact that the plant species diversity indices (the Pielou Evenness Index, Gleason Richness Index, Shannon–Wiener Diversity Index and Simpson Dominance Index) in natural forests were higher than that in plantation forests, the disparity between them was not significant (p > 0.05). This may be due to similar water use efficiency and climate. The findings of this research hold substantial significance for forecasting the alterations in plant species diversity, functionality, and their influencing factors within mid-latitude evergreen broad-leaved forests.

Spatial differentiation and coupling between village development intensity and landscape pattern of 100 villages in Anhui, China

Spatial development and landscape pattern are fundamental elements of the land system of village. Analysing the spatial differentiation and coupling relationship between spatial development intensity and landscape pattern is of great significance for the development and protection of village land resources. In order to address the current research lack on the coupling response between village spatial development intensity and landscape pattern, a technical method for analysing the spatial differentiation and coupling relationship between village spatial development intensity and landscape pattern is constructed based on the methods of village spatial development intensity model, landscape pattern index, bivariate spatial autocorrelation model, coupling degree and coupling coordination degree model. Taking 100 villages in Anhui Province, China as an example, the spatial distribution characteristics and coupling characteristics of village spatial development intensity and landscape pattern are analysed. The results show that there are obvious regional differences in the spatial distribution of village spatial development intensity and landscape pattern in Anhui Province. The village spatial development intensity shows a pattern of the Northern Anhui plain region (NAPR) > along the Yangtze River plain region (YRPR) > Jiang-huai Hilly region (JHHR) > Southern Anhui mountainous region (SAMR) > Western Anhui mountainous region (WAMR). The village landscape pattern in NAPR and YRPR are high fragmentation, while the village in JHHR has the lowest fragmentation, and the villages in SAMR and WAMR show relatively low fragmentation. The spatial coupling relationship between village spatial development intensity and landscape pattern is mainly characterised by high-high clustering and low-high clustering. The coupling coordinated development of villages in NAPR is the best, followed by YRPR, JHHR and SAMR, and WAMR is the worst. There is only a significant multi-linear relationship between village landscape pattern and multiple spatial development intensity indicators in WAMR and NAPR. The spatial differentiation and coupling relationship are influenced by both natural geographical factors and human activity factors. Finally, the study puts forward some targeted countermeasures and suggestions. The research results can provide theoretical method and practical application reference for village land space development and protection and village planning.

Ainsliaea guniuensis (Asteraceae), a new species from southern Anhui, eastern China

Ainsliaea guniuensis W.Y.Ni and S.Y.Zhang sp. nov, a new species from the Guniujiang National Nature Reserve in southern Anhui, eastern China, is described based on morphological and molecular evidence. The new species is distinguishable from morphologically related species (A. fragrans and A. kawakamii) by its usually sub‐paniculate inflorescences, thickly chartaceous leaves with veins noticeably sunken, and well‐developed villous hairs on the abaxial surface of the leaf. Along with comments on its conservation, distribution, ecology and taxonomy, an identification key to all species of Ainsliaea occurring in eastern China is also presented.

Association between ABCB4 variants and intrahepatic cholestasis of pregnancy

The ABCB4 gene encodes multidrug resistance protein 3(MDR3), which is a phosphatidylcholine(PC) transfer enzyme that transfers lecithin from the inner part of the phospholipid bilayer to the extracellular bile. The occurrence of intrahepatic cholestasis of pregnancy(ICP) is closely related to ABCB4 variants, but there is limited research on this topic in southern Anhui, China. We sequenced ABCB4 in pregnant women with ICP and healthy pregnant women to explore the relationship. A total of 30 patients diagnosed with ICP were selected as the study objects and 90 healthy pregnant women were selected as the control group. DNA was extracted from peripheral blood of ICP patients and healthy pregnant women, 27 exons were sequencing by Sanger sequencing. Polymerase chain reaction (PCR) was used to amplify those exons. PolyPhen2, Mutation Taster, Provean, SIFT and Mutpred2 were used to predict protein structure, and Pymol software was used to predict the impact of missense variant c.1954 A > G(p.Arg652Gly) on proteins. Four exonic variants of ABCB4 gene were detected in ICP patients and healthy pregnant women, including synonymous variants c.175 C > T, c.504 C > T,c.711 A > T and missense variant c.1954 A > G(p.Arg652Gly). The incidence of the missense variant c.1954 A > G(p.Arg652Gly) was 6/90 in healthy pregnant womenand 8/30 in ICP patients.In healthy pregnant women with the missense variant c.1954 A > G(p.Arg652Gly), no other exonic variants were found. In ICP patients with missense variant c.1954 A > G(p.Arg652Gly), other exonic variants were found. PolyPhen2, Mutation Taster, Provean, SIFT and Mutpred2 were used to predict that the four exonic variants were benign, while Pymol was used to showed that the missense variant was located in the linker region of MDR3 and had a slight impact on protein function. Among ICP patients with missense variant c.1954 A > G(p.Arg652Gly), patients with three exonic variants(c.504 C > T, c.711 A > T, c.1954 A > G) had higher γ-GT, TBA, ALT and AST than those with two exonic variants. ABCB4 missense variant c.1954 A > G(p.Arg652Gly) requires the combination of other variants(c.175 C > T, c.504 C > T,c.711 A > T) to cause ICP symptoms, and when combined with other variants, it has a superimposed effect.

Wheat Stripe Rust Inoculum from the Southwest Dispersed to the East Huang-Huai-Hai Region Through Southern Anhui in China.

Stripe rust, caused by Puccinia striiformis f. sp. tritici, is a continuous threat to global wheat production. In 2021, the epidemic of wheat stripe rust in China affected approximately 4.5 million hectares, resulting in severe yield losses. When confronted with the epidemic, tracing the sources of the pathogen can offer valuable insights for disease prevention and control. This study was conducted to analyze the genetic structure, aerodynamics, geographical features, and cultivation practices of the pathogen population in various wheat-producing regions and to further reveal the spread patterns of the stripe rust pathogens in China. The findings indicated an overall trend of the pathogen dissemination from the west to the east. The pathogen was primarily spread from the northwestern region to the Huang-Huai-Hai region through the Guanzhong Plain and the NanXiang Plain. Meanwhile, the pathogen also spread eastward from the southwestern region to the lower reaches of the Yangtze River, using the Jianghan Plain as a bridge and the Yangtze River Valley in southwestern Anhui as the main pathway. Furthermore, the pathogen spread northward into Shandong under the driving force of the southeast winds. The findings of this study may provide valuable insights for the integrated management of wheat stripe rust in China.

Study on the Evolutionary Characteristics of Spatial and Temporal Patterns and Decoupling Effect of Urban Carbon Emissions in the Yangtze River Delta Region Based on Neural Network Optimized by Aquila Optimizer with Nighttime Light Data

China produces the largest amount of CO2 emissions since 2007 and is the second largest economy in the world since 2010, and the Yangtze River Delta (YRD) area plays a crucial role in promoting low-carbon development in China. Analyzing its evolutionary characteristics of spatial and temporal patterns and its decoupling effect is of great importance for the purpose of low-carbon development. However, this analysis relies on the estimation of CO2 emissions. Recently, neural network-based models are widely used for CO2 emission estimation. To improve the performance of neural network models, the Aquila Optimizer (AO) algorithm is introduced to optimize the hyper-parameter values in the back-propagation (BP) neural network model in this research due to the appealing searching capability of AO over traditional algorithms. Such a model is referred to as the AO-BP model, and this paper uses the AO-BP model to estimate carbon emissions, compiles a city-level CO2 emission inventory for the YRD region, and analyzes the spatial dependence, spatial correlation characteristics, and decoupling status of carbon emissions. The results show that the CO2 emissions in the YRD region show a spatial distribution pattern of “low in the west, high in the east, and developing towards the west”. There exists a spatial dependence of carbon emissions in the cities from 2001 to 2022, except for the year 2000, and the local spatial autocorrelation test shows that high-high is concentrated in Shanghai and Suzhou, and low-low is mainly centered in Anqing, Chizhou, and Huangshan in southern Anhui. Furthermore, there exist significant regional differences in the correlation levels of CO2 emissions between cities, with a trend of low in the west and high in the east in location, and a decreasing and then increasing trend in time. From 2000 to 2022, the decoupling of carbon emissions and economic growth shows a steadily improving trend.

The Planning and Design Research of the Rural Architectural Landscape of Southern Anhui Province by Virtual Reality Technology

At present, virtual reality technology has been widely used in the planning and design of architectural landscapes, and its core content is to use virtual reality technology to carry out relevant planning and design. To improve the planning and design level of rural buildings in southern Anhui, and to verify the role of virtual reality technology in the planning and design of rural buildings in southern Anhui, this paper analyzes the basic features of virtual reality technology, discusses the superiority of virtual reality technology in the planning and design of rural buildings in southern Anhui, and takes advantage of the strong immersion and interaction effect that this technology can bring to the users to simulate and experiment the real rural landscape of southern Anhui, so that the users do not need to be physically present to carry out the simulation and experiment. With the advantage that this technology can bring users a strong sense of immersion and interactive effect, it simulates and experiments with the rural landscape of southern Anhui, so that users can feel the overall situation without personal participation, and thus carries out a preliminary exploration of the planning and design of rural buildings in the southern Anhui region.

Characteristics of Dissolved Organic Matter (DOM) Combined with As in Fe-Rich Red Soils of Tea Plantations in the Southern Anhui Province, East China

Dissolved organic matter (DOM) is widely present in soil environments and plays a crucial role in controlling the morphology, environmental behavior, and hazards of arsenic (As) in soil. In the Fe-rich red soil of tea plantations, the decomposition of tea tree litter complicates DOM properties, leading to more uncertain interactions between DOM, Fe, and As. This study focused on three tea plantations in Huangshan City to investigate the contents of DOM, Fe, and As in surface red soils (Ferralsols) and establish their correlations. Three-dimensional fluorescence spectroscopy and PARAFAC analysis methods were used to analyze the DOM components and fluorescence signatures. Additionally, the process and mechanism of the binding of DOM-Fe with As were explored through laboratory experiments on the morphological transformation of As by DOM-Fe. The results showed that the pH values of the soils in the three tea plantations ranged from 3.9 to 5.2, and the entire sample was strongly acidic. The DOM exhibited strong intrinsic properties and low humification, containing three types of humic acid components and one intermediate protein component. The DOC content in the Fe-rich red soil did not have a direct correlation with Fe and As, but the interaction of DOM fractions with Fe significantly influenced the As content. Specifically, the interaction of protein-like fractions with Fe had a more pronounced effect on the As content. The maximum sorption rate of As by DOM was 15.45%, and this rate increased by 49 to 75% with the participation of Fe. In the configuration of the metal electron bridge, Fe acts as a cation, forming a connecting channel between the negatively charged DOM and As, thus enhancing the DOM’s binding capacity to As. DOM-Fe compounds bind As through surface pores and functional groups. These findings provide deeper insights into the influence of DOM on As behavior in Fe-rich soil environments and offer theoretical support for controlling As pollution in red soil.

Research on the Development of Li Bai Cultural Tourism Products in Southern Anhui Based on Network Text Analysis

Against the background of the in-depth development of cultural and tourism integration, the cultural connotation of my country's tourism industry has significantly improved. As a part of cultural tourism, Li Bai cultural tourism is a typical representative of the integration of traditional culture and modern tourism. Research on the development of Li Bai cultural tourism products has practical and theoretical significance. This study uses network text analysis method to select several Li Bai cultural tourism scenic spots in southern Anhui, and uses tourists' evaluations to study the perception of Li Bai cultural tourism. Li Bai's cultural tourism product development ideas are proposed from the perspective of the six elements of tourism, travel, shopping and entertainment tourism, hoping to provide a basis for the development of cultural tourism products with similar themes.

Spatio-temporal Characteristics and Influencing Factors of Carbon Sources/Sinks in the Yangtze River Delta Under Carbon Neutrality Target

Clarifying the dynamic relationship between carbon sources/sinks and urban development is crucial to achieving carbon neutrality and sustainable development in the region. This study used net ecosystem productivity （NEP） to evaluate the carbon sinks of the terrestrial ecosystem in the Yangtze River Delta （YRD） from 2005 to 2020. Geodetectors were used to explore the impact of urban expansion, socio-economic factors, and their interactions on carbon sources/sinks in the YRD and to evaluate the gap in achieving carbon neutrality in cities. The results showed that： ① In 2005-2020, the NEP contribution of the YRD was 69.13 Mt·a-1 and the loss of carbon sinks due to urban expansion was 1.97 Mt. The carbon emissions offset by carbon sinks were approximately 3% to 6%. ② The high carbon source areas were mainly distributed in the central and eastern YRD and the high carbon sink areas were primarily distributed in Zhejiang Province and southern Anhui Province. The forest-rich cities of Huangshan and Lishui, with smaller gaps between carbon emissions and carbon sinks, had the greatest potential for achieving carbon neutrality. Industrial or resource-based cities such as Xuzhou and Maanshan faced greater pressure to achieve carbon neutrality. Developed cities such as Shanghai and Suzhou had the largest carbon neutrality gap. ③ Urban expansion, economic and industrial agglomeration, high-density distribution of the population, and compact urban form were the key variables leading to the widening gap between carbon emissions and carbon sinks in the YRD. The increase in ecological space could effectively reduce carbon emissions. Urban expansion and socioeconomic development could be coupled with each other and have significant synergistic effects on carbon emissions.

Purification of Vein Quartz Using a New Fluorine-Free Flotation: A Case from Southern Anhui Province, China

High-purity quartz is an emerging strategic material that has been extensively used in the semiconductor and photovoltaic fields. Taking vein quartz from southern Anhui Province as an example, raw materials were processed by ultrasonic scrubbing-desliming, magnetic separation, flotation, high-temperature calcination, water quenching, hot-press acid leaching, and deionized water cleaning to prepare high-purity quartz sand. At the same time, the microscopic structure, inclusions, phase, mineral morphology, water content in inclusions, and trace impurities of the gangue samples were analyzed using an optical microscope, a laser Raman spectrometer, an X-ray diffractometer, a scanning electron microscope, an infrared spectrum analyzer, and an inductively coupled plasma mass spectrometer. The results showed that feldspar and muscovite were the main impurities. After purification, the total amount of 13 impurities in quartz sand was reduced to 28.66 μg/g, and the contents of the main impurity elements Al, Na, and Fe were 12.81 μg/g, 12.80 μg/g, and 0.52 μg/g, respectively. The mass fraction of SiO2 increased from 99.06% to 99.9972%. This shows that flotation, high-temperature calcination, and hot-pressing acid leaching are the keys to obtaining high-purity quartz sand. Fluoride-free flotation with the new collector XK02 can effectively realize the deep separation of quartz and mineral impurities. High-temperature calcination can form more cracks on the surface of quartz sand particles, and the mixed acid enters the open crack channels to effectively remove impurities from the inclusions. This method provides technical support for the preparation of high-purity quartz sand with high value and for the efficient utilization of quartz ore.

The paleo-oceanic environment and organic matter enrichment mechanism of the early Cambrian in the southern Lower Yangtze platform, China

The paleo-oceanic environment and organic matter enrichment mechanism of the early Cambrian in the southern Lower Yangtze platform, China

Surface water monitoring from 1984 to 2021 based on Landsat time-series images and Google Earth Engine

Surface water monitoring from 1984 to 2021 based on Landsat time-series images and Google Earth Engine