Eastern China Research Articles

Differences in networks of alexithymia and cognitive emotion regulation strategies among older adults with different health statuses in eastern China—A network analysis and network comparison

To identify core and bridge nodes in the network structure of alexithymia and cognitive emotion regulation strategies in community-dwelling older adults, and compare network differences among older adults with different health statuses, we recruited 677 participants and network analysis was performed in R 4.2.0. After including the covariates, the nodes Catastrophizing, Difficulty Identifying feelings, and Refocusing on Planning ranked as the top three. The nodes Externally Oriented Thoughts and Difficulty Identifying Feelings were identified as bridge nodes based on bridge strength values. Significant differences were observed between the healthy and comorbidity groups, and also between the single chronic disease and comorbidity groups (p < 0.05). Catastrophizing, Difficulty Identifying Feelings, and Refocusing on Planning were the core nodes, and Externally Oriented Thoughts and Difficulty Identifying Feelings were the key bridge nodes. The network structure of comorbidity in older adults was characterized by stronger ties to non-adaptive cognitive emotion regulation strategies.

Plant species and associated root nutritional traits influence soil dominant bacteria in coastal wetlands across China.

Climate and edaphic properties drive the biogeographic distribution of dominant soil microbial phylotypes in terrestrial ecosystems. However, the impact of plant species and their root nutritional traits on microbial distribution in coastal wetlands remains unclear. Here, we investigated the nutritional traits of 100 halophyte root samples and the bacterial communities in the corresponding soil samples from coastal wetlands across eastern China. This study spans 22° of latitude, covering over 2500 km from north to south. We found that 1% of soil bacterial phylotypes accounted for nearly 30% of the soil bacterial community abundance, suggesting that a few bacterial phylotypes dominated the coastal wetlands. These dominated phylotypes could be grouped into three ecological clusters as per their preference over climatic (temperature and precipitation), edaphic (soil carbon and nitrogen), and plant factors (halophyte vegetation, root carbon, and nitrogen). We further provide novel evidence that plant root nutritional traits, especially root C and N, can strongly influence the distribution of these ecological clusters. Taken together, our study provides solid evidence of revealing the dominance of specific bacterial phylotypes and the complex interactions with their environment, highlighting the importance of plant root nutritional traits on biogeographic distribution of soil microbiome in coastal wetland ecosystems.

Monitoring yellow rust progression during spring critical wheat growth periods using multi-temporal Sentinel-2 imagery.

Yellow rust (Puccinia striiformis f. sp. tritici) is a devastating hazard to wheat production, which poses a serious threat to yield and food security in the main wheat-producing areas in eastern China. It is necessary to monitor yellow rust progression during spring critical wheat growth periods to support its prediction by providing timely calibrations for disease prediction models and timely green prevention and control. Three Sentinel-2 images for the disease during the three wheat growth periods (jointing, heading, and filling) were acquired. Spectral, texture, and color features were all extracted for each growth period disease. Then three period-specific feature sets were obtained. Given the differences in field disease epidemic status in the three periods, three period-targeted monitoring models were established to map yellow rust damage progression in spring and track its spatiotemporal change. The models' performance was then validated based on the disease field truth data during the three periods (87 for the jointing period, 183 for the heading period, and 155 for the filling period). The validation results revealed that the representation of the wheat yellow rust damage progression based on our monitoring model group was realistic and credible. The overall accuracy of the healthy and diseased pixel classification monitoring model at the jointing period reached 87.4%, and the coefficient of determination (R2) of the disease index regression monitoring models at the heading and filling periods was 0.77 (heading period) and 0.76 (filling period). The model-group-result-based spatiotemporal change detection of the yellow rust progression across the entire study area revealed that the area proportions conforming to the expected disease spatiotemporal development pattern during the jointing-to-heading period and the heading-to-filling period reached 98.2% and 84.4% respectively. Our jointing, heading, and filling period-targeted monitoring model group overcomes the limitations of most existing monitoring models only based on single-phase remote sensing information. It performs well in revealing the wheat yellow rust spatiotemporal epidemic in spring, can timely update disease trends to optimize disease management, and provide a basis for disease prediction to timely correct model. © 2024 Society of Chemical Industry.

Trends of maximum annual sea surface temperature in the Eastern China Seas

The increasing ocean warming due to climate change significantly threatens regional marine ecosystems by raising the frequency and severity of extreme temperature events. This study examines patterns and trends of maximum annual sea surface temperature (Tmax) in the Eastern China Seas from 1985 to 2022. The results show a significant warming trend in Tmax, exceeding the global average, with notable differences between southern and northern regions. The northern Tmax warming rate is faster, with occurrence times significantly advancing, while the southern Tmax warming rate is slower, with occurrence times significantly delayed. The southern Tmax and its timing are closely correlated with the annual maximum air temperature and its timing. In the north, Tmax timing is influenced by latent heat flux (QLH); a significant increase in August QLH inhibits the continued rise of SST, causing Tmax to advance. The study also highlights a significant increase in marine heatwaves at Tmax timing, with higher Tmax indicating a higher occurrence probability. By elucidating these Tmax trends and dynamics, our study enhances understanding of regional climate impacts, supporting targeted conservation efforts and adaptive ecosystem management strategies in the Eastern China Seas.

Polycyclic aromatic hydrocarbons in fish from four lakes in central and eastern China: Bioaccumulation, pollution characteristics, sources, and health risk assessment

Polycyclic aromatic hydrocarbons (PAHs) are highly concerning environmental pollutants due to their toxicity, persistence, and bioaccumulation. In this paper, concentrations and compositions of 16 United States Environmental Protection Agency (USEPA) priority control PAHs in the fish collected from four lakes in central and eastern China were analyzed. 18 species of fish were collected from four typical lakes, namely Taihu Lake, Danjiangkou Reservoir, Yuncheng Salt Lake, and Nansi Lake. Quantitative analysis of PAHs were carried out with gas chromatograph/mass spectrometer, and 13 out of 16 PAHs were identified, with the main components being pyrene, chrysene, naphthalene, and benzo(b)fluoranthene. The accumulation of PAHs in fish from Taihu Lake, Danjiangkou Reservoir, Yuncheng Salt Lake, and Nansi Lake was 28.75–47.27, 26.60–31.93, 33.56–39.30, and 27.22–43.01 ng·g−1, respectively. The toxic equivalents of high-cyclic PAHs in fish of the four lakes were significantly higher than those of low-cyclic and middle-cyclic PAHs (P < 0.05). In Taihu Lake, Danjiangkou Reservoir, and Nansi Lake, the toxicity equivalents were predominantly contributed by benzo[a] pyrene (BaP), while in Yuncheng Salt Lake, dibenzo(a,h) anthracene (DahA) was the main contributor. The residents in central and eastern China exposed to PAHs had a negligible non-cancer risk (non-carcinogenic risk values <1) and a potential low cancer risk. It was noteworthy that the Pleuronichthys cornutus and Lateolabrax japonicus from Yuncheng Salt Lake could pose carcinogenic risks (>10−4) to humans, with benzo[b]fluoranthene (BbF) having the highest risk contribution rate. Source analysis indicated that the main source of PAHs in fish was combustion sources. BaP, DahA, and BbF could become potential pollutants of concern in the field of ecotoxicology. The results of this study on PAHs bioaccumulation, pollution characteristics, sources and health risks in fish from four lakes would provide a scientific basis for local governments to formulate targeted environmental management policies, pollution control measures, and public health strategies.

Microbiological safety assessment of restaurants and HACCP-certified kitchens in hotels: A study in eastern China

The Hazard Analysis and Critical Control Point (HACCP) system plays a crucial role in ensuring food safety within food service establishments, effectively reducing the risk of foodborne diseases. This study focused on assessing the risk of microbe contamination in poultry-based cook-served food during meal preparation in four restaurants and five selected HACCP-certified hotels in eastern China. We examined samples collected from 26 poultry-based cooked dishes, 248 food contact surfaces, 252 non-food contact surfaces, and 121 hand swabs. Our findings indicated a favorable trend of compliance with Chinese national standards, as Escherichia coli and Campylobacter were not detected in any cooked food samples. However, the microbiological assessments revealed non-compliance with total plate count standards in 7 % of the cooked samples from restaurants. In contrast, both dine-in hotels and restaurants exhibited significant non-compliance with guidance concerning food and non-food contact surfaces. Furthermore, our study found that chefs' hand hygiene did not meet microbiological reference standards, even after washing. Notably, Campylobacter persisted at 27 % and 30 % on chefs' hands, posing a significant risk of cross-contamination and foodborne diseases. These findings emphasize the urgent necessity for enhanced supervision of hygiene procedures and process monitoring in the HACCP-certified establishments engaged in the preparation and serving of food. Targeted interventions and food safety education for different chef subgroups can enhance food handling practices and reduce the risk of foodborne diseases in independent food establishments.

Legacy and novel brominated flame retardants in outdoor settled dusts and pine needles in a megacity of Eastern China: Interpretation of plant uptake

Brominated flame retardants, considered emerging contaminants, are widespread and persist in the environment. This study investigated the contamination of legacy and novel brominated flame retardants in paired outdoor settled dusts and pine needles sampled from a megacity in the Eastern China. The measured total concentrations of PBDEs (∑27PBDEs) in outdoor settled dusts and pine needles were in the range of 77.4–345.2 ng/g dw and 20.7–120.0 ng/g dw, respectively, and equivalent ranges for novel brominated flame retardants (∑11NBFRs) were 25.7–1917.2 ng/g dw and 9.4–38.7 ng/g dw, respectively. BDE-209 and DBDPE dominated PBDEs and NBFRs profiles, respectively, in both dusts and pine needles. Outdoor settled dusts exhibited greater potentials to accumulate high-brominated PBDE homologues and EH-TBB while pine needles tended to accumulate low-brominated PBDE homologues, BTBPE and TBC. The plant uptake of BFRs was interpreted by McLachlan's framework on the assumption that the levels of BFRs in outdoor settled dusts and particle phase of air were positively correlated. The accumulation of PBDEs in pine needles was dominated by equilibrium partitioning between the vegetation and the gas phase when log KOA values <10 and by particle-bound deposition when log KOA values >13. However, NBFRs exhibited more complicated accumulation behavior. The predicted 50th percentile of the estimated daily intakes of ∑27PBDEs via outdoor settled dusts exposure for adults and children were 3.5 × 10−2 and 1.4 × 10−1 ng/kg body weight (bw)/day, respectively, and equivalent values for ∑11NBFRs were 1.6 × 10−2 ng/kg bw/day and 6.3 × 10−2 ng/kg bw/day, respectively. The calculated hazard index (HI) values were far <1, indicating exposure of BFRs via outdoor settled dust intake would not pose potential non-carcinogenic health risks to both adults and children.

Warming of mid-latitude North Atlantic Sea surface temperature strengthens the daily variability of winter PM2.5 in eastern China

Abstract Climate factors, in addition to human activities, are acknowledged to exert a notable influence on the synoptic PM2.5 variations over eastern China in extensive case studies. Based on observed daily PM2.5 concentrations data, this study reveals the enhanced daily variability (DV) of PM2.5 concentrations over eastern China and identifies its association with mid-latitude sea surface temperature anomalies over the North Atlantic. The dominant daily mode of PM2.5 concentrations identified through empirical orthogonal function analysis accounts for 43.75% of the total variance, with its DV experienced a significant enhancement from 1979 to 2019. The identified enhancement is attributed to the intensified wave train propagation along the mid-latitudes on a time scale of 10–30 d. The eastward propagation of the identified wave train can expose eastern China to recurrent influences of cyclonic and anticyclonic anomalies, resulting in an initial increase and subsequent decrease in PM2.5 concentrations. Statistical analysis and dynamic diagnostics show that the warming of the mid-latitude North Atlantic Ocean enhances the wave train at its source through the local energy exchange, and ultimately leads to an increased DV of PM2.5 concentrations.

Spatiotemporal change characteristics of NDVI and response to climate factors in the Jixi Wetland, Eastern China.

Exploring the spatiotemporal variation characteristics of vegetation in the confluent area of water systems in western Jinan and its response mechanism to climatic factors is of great significance for the scientific evaluation of the benefits of the water system connectivity project and eco-environmental protection and can provide a reference for ecotourism development in the Jixi wetland park. Based on the Landsat series of images and meteorological data, this study used ENVI to interpret the normalized difference vegetation index (NDVI) of the confluent area from 2010 to 2021, and the spatiotemporal change characteristics and trends of NDVI were quantitatively analyzed. The response of the growing-season NDVI (GSN) to climate factors and its time-lag effect were explored. The results showed that the overall change in the interannual NDVI in the confluent area from 2010 to 2021 was stable. The GSN in the confluent area was significantly positively correlated with precipitation, average temperature, and relative humidity in 37.64%, 25.52%, and 20.87% of the area respectively, and significantly negatively correlated with sunshine hours in 15.32% of the area. There was a time-lag effect on the response of the GSN to climate factors; the response to precipitation and sunshine hours lagged by 1month, and the response to average temperature and relative humidity was longer.

Integrated study on the conservation of ecocultural heritage in the Tiantai Mountain area, China

This study deeply analyzes the ecocultural heritage of the Tiantai Mountain area in Eastern China, assesses its current status and explores effective mechanisms for its conservation and construction. Employing remote sensing technology, kernel density analysis and Minimum Cumulative Resistance Model, the study comprehensively evaluated the environmental characteristics of the region and its role in historical and modern conservation efforts. The results demonstrate the unique distribution patterns of ecocultural heritage in various conservation zones, such as restoration, controlled construction and core conservation zone. Furthermore, the study highlights the importance of religious beliefs and clan systems in the preservation of traditional knowledge and practices, with significant impacts of local community participation on conservation strategies. This research provides new theoretical and practical support for the implemention of ecocultural heritage conservation and development within religiously significant areas, highlights the need for conservation measures and synergistic strategies between ecological and cultural practices.

Improving visibility forecasting during haze-fog processes in shanghai and eastern China: The significance of aerosol and hydrometeor extinction

Aerosols and droplets are the main factors of visibility reduction by scattering and absorbing light. In this study we use the 3-D meteorology fields from the 9-km WRF-ADAS Real-Time Modeling System (WARMS) to drive the Community Multiscale Air Quality (CMAQ) model. A visibility forecasting framework is developed by combining extinction due to hydrometeors and aerosols, based on WARMS and CMAQ predictions. We have analyzed the results of a one-month forecasting period during the winter of 2021–2022 to assess the performance of the WARM-CMAQ model and to understand the impact of hydrometeor and aerosol extinction on operational visibility forecasting in Shanghai, the Yangtze River Delta (YRD), and part of the North China Plain (NCP). With our newly developed framework, we generally find improved or comparable results in visibility forecasts when compared to recent studies. We find that for the city of Shanghai, aerosol extinction has a minor impact on the model's performance when forecasting visibility below 1 km, but it becomes crucial for predictions spanning 1–10 km. Comparison against observations shows that the framework well captures the general contributions from various chemical constituents with nitrate as the most important factor in aerosol extinction (∼60%). Finally, our assessment of the YRD and part of the NCP highlights that in highly polluted areas aerosols could be significant for visibility below 1 km. This study emphasizes the necessity of integrating both aerosol and hydrometeor extinction in visibility forecasting during haze-fog processes, particularly for regions characterized by diverse pollutant levels and environmental conditions.

Highly oxidized intraplate basalts and deep carbon storage.

Deep carbon cycle is crucial for mantle dynamics and maintaining Earth's habitability. Recycled carbonates are a strong oxidant in mantle carbon-iron redox reactions, leading to the formation of highly oxidized mantle domains and deep carbon storage. Here we report high Fe3+/∑Fe values in Cenozoic intraplate basalts from eastern China, which are correlated with geochemical and isotopic compositions that point to a common role of carbonated melt with recycled carbonate signatures. We propose that the source of these highly oxidized basalts has been oxidized by carbonated melts derived from the stagnant subducted slab in the mantle transition zone. Diamonds formed during the carbon-iron redox reaction were separated from the melt due to density differences. This would leave a large amount of carbon (about four times of preindustrial atmospheric carbon budget) stored in the deep mantle and isolated from global carbon cycle. As such, the amounts of subducted slabs stagnated at mantle transition zone can be an important factor regulating the climate.

Government procurement and corporate investment efficiency: Evidence from China

This study investigates the impact of government procurement on the microeconomic landscape, particularly focusing on investment decisions and efficiency within corporations. Utilizing a dataset spanning 2015 to 2021 from A-share listed companies in China, the study examines how government contracts, as reported by the China Government Procurement website, influence corporate investment strategies. The analysis reveals that government procurement significantly enhances investment efficiency and mitigates common corporate investment deficiencies. These findings are robust, confirmed through instrumental variable techniques and validation procedures. Furthermore, the study explores the underlying mechanisms, suggesting that government procurement facilitates corporate financial fluidity and reduces environmental unpredictability. The impact is notably more pronounced in private sector entities, high-tech industries, and economically advanced regions in eastern China. This research provides empirical evidence of government procurement's efficacy as an economic instrument, highlighting its role in promoting corporate fiscal prudence. However, the study acknowledges limitations, such as potential variability in procurement practices across different regions and industries, which may affect the generalizability of the findings. Future research could explore the long-term effects of government procurement on corporate innovation and broader economic outcomes.

A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat over the Yangtze River Basin

ABSTRACT The thermodynamic and convective characteristics of the seasonal progression of the monsoon over eastern China are examined, with the aim of understanding why regional heavy rainfall events (RHREs) over the Yangtze River Basin (YRB) are more frequent and intense during the monsoon progression from mid-June to mid-July than during the retreat from mid-August to mid-September. During the monsoon progression, the southerly monsoon flow at low and mid-levels intensifies and moves northward, while the Western Pacific subtropical high shifts northeastward. These changes result in enhanced moisture advection over eastern China. The stronger southerly flow brings warmer and moist air into the YRB, leading to a higher equivalent potential temperature (θE) and favouring convection. Conversely, during the monsoon retreat, the northerly flow becomes stronger and drier, causing lower θE air over the YRB. Additionally, as the Western Pacific subtropical anticyclone retreats, easterly prevailing winds prevail over eastern China, causing reduced specific humidity. The monsoon progression period exhibits higher convective available potential energy but also higher convective inhibition, which is overcome by the presence of the monsoon front providing sufficient dynamical uplift. Understanding the severity of RHREs, particularly over the YRB, is crucial for improving forecasting capabilities and reducing societal vulnerability.

Mapping and assessing drought losses in China: A process-based framework analysis

Drought has exerted significant impacts on socio-economic systems in China, yet accurately estimating its direct economic loss remains challenging. The main constraint lies in establishing a robust relationship between drought events and associated losses, compounded by insufficient loss data. To address this gap, we developed a set of annual gridded Gross Domestic Product (GDP) and applied to a process-based sigmoidal type of drought loss function. The pioneering effort produced the first gridded dataset of drought-induced economic losses for 1991 to 2016, offering valuable insights for the previously unrecorded period from 1991 to 2001. The sigmoidal curve fits well in most provinces, with R2 values exceeding 0.5, and higher accuracy observed before 2010, indicating a certain level of the model's credibility before 2002. The estimated losses ranged from 3.91 billion CNY in 1991 to 22.02 billion CNY in 1999, thereby filling the statistical gap and providing critical reference information for 1991 to 2001 in China. Spatial analysis revealed a pronounced pattern of elevated losses per unit area in southern and eastern China, aligns closely with GDP distribution and demarcated by the Hu Line. This correlation underscores the significant influence of economic development on drought losses. This study also highlights the necessity of integrating policy measures into drought loss assessments to account for the impacts of adaptation and mitigation strategies. This integration is essential for enhancing the accuracy of drought-related hazards assessments and facilitating more strategic adaptation and mitigation initiatives.

Impact and mechanism analysis of industrial robot imports on export performance of Chinese firms

Digital import trade is of great practical significance for enhancing the export performance of enterprises and preventing external shocks. This paper empirically examines the impact and mechanism of industrial robot imports on Chinese firms’ export performance based on Chinese microenterprise data from 2004 to 2014. The study shows that the application of imported robots can significantly improve firms’ export performance, and this conclusion still holds after a series of robustness tests. Heterogeneity analysis shows that imported robots have a more significant role in boosting the export performance of state-owned enterprises and enterprises in capital- and technology-intensive industries; at the same time, they have a significant effect on the export performance of enterprises in different modes of trade; and they have a significant role in boosting the export performance of enterprises in eastern China compared with those in central and western regions. Mechanism analysis shows that the enhancement of export performance of enterprises by imported robots is mainly realized by promoting enterprise productivity and human capital efficiency. The policy implication of this paper is that in the era of digital trade, Chinese enterprises should fully utilize the import of digital products to enhance their productivity and promote the high-quality development of foreign trade.

Both nutrients and macrophytes regulate organic carbon burial: Insights from high-resolution spatiotemporal records of a large shallow lake (Baiyangdian) in eastern China

Both ecological regime shifts and carbon cycling in lakes have been the subject of global debates in recent years. However, the direct linkage between them is poorly understood. Lake Baiyangdian, a representative large shallow lake with the coexistence of a macrophyte-dominated area (MDA) and an algae-dominated area (ADA) in eastern China, allowing better understanding of the relationship between regime shifts and organic carbon (OC) burial in lakes. On the basis of Bayesian isotopic mixing modelling of C/N ratios and δ13C values, the sediment OC is primarily of autochthonous origin. The mean OC burial rate (OCBR) was 39 g C m−2 yr−1 before eutrophication occurred in 1990 and increased approximately 2.7-fold to 106 g C m−2 yr−1 after eutrophication. Partial least squares path modelling revealed that this change can be largely attributed to enhanced primary productivity and rapid burial as a result of intensified human perturbation. In terms of spatial patterns, the OCBR was greater in the MDA than in the ADA, which may be related to the different burial and mineralization processes of debris from macrophytes and algae. It then deduced that a decrease in the OCBR and an increase in the mineralization rate might have occurred after a shift from a macrophyte-dominated state to an algae-dominated state. Our findings highlight that eutrophication generally increases OC burial by enhancing lake primary productivity. However, once nutrient levels reach a critical range, lake ecosystems may shift from a macrophyte-dominated state to an algae-dominated state, which can lead to a significant reduction in the carbon burial capacity of lakes. Therefore, more attention should be given to avoiding shifts in eutrophic lakes, as such shifts can alter carbon cycling.

The characteristics of modern flood deposits in the lower reaches of a small watershed and the significance of paleo-flood identification

The mountainous region of central Shandong Province in eastern China is renowned for its high frequency of rainstorms, which often result in devastating flood disasters and have profoundly affected the evolution of local ancient civilizations. To identify ancient flood disaster events, recognizing sediment signatures via multiple indices is important. Here, we investigated the 2018 flood deposits in the Danhe River Basin and sampled short core DH2, on which the grain size, total organic matter (TOM) content, carbonate content, magnetic susceptibility (MS) and pollen were measured. The fine grain size of the flood sedimentary layer reveals that the flood energy in the alluvial plain area is usually weak. The pollen species and concentration and the tree pollen content in the flood layer are significantly greater than those in the soil layer, suggesting that the flood sediment mainly originates from the mountainous areas in the upper reaches of the river, which provides more forest vegetation information. The MS of flood deposits is lower than that of the soil layer, which is mainly related to the intensity of pedogenesis. The research results indicate that the flood sediments in the downstream floodplain areas of small watersheds are predominantly composed of fine-grained components, with characteristics of high loss on ignition, low magnetic susceptibility, high pollen abundance and diverse species. These findings establish a multi-index identification system for paleoflood sedimentation, which has important reference significance for the study of paleoflood sedimentology and hydrology.

An Optimal Weighted Ensemble Machine Learning Approach to Accurate Estimate the Coastal Boundary Layer Height Using ERA5 Multi‐Variables

AbstractThe coastal boundary layer height (CBLH/Coastal‐BLH) is critical in determining the exchange of heat, momentum, and materials between the land and ocean, thereby regulating the local climate and weather change. However, due to the complexity of geographical characteristics and meteorological conditions, accurate estimation of the CBLH remains challenging. Herein, based on continuous high‐resolution measurements of CBL performed from November 2019 to April 2020 in coastal Ningbo city in eastern China, an optimal weighted ensemble model (OWEM) integrating multi‐meteorological variables of the ERA5 reanalysis data sets is constructed and validated to estimate the CBLH. The mean absolute percentage error of the derived CBLH by OWEM is as low as 3%–5%, significantly lower than that of 36%–65% of the ERA5 CBLH products. Furthermore, three categories of different weather scenarios, that is, sunny, cloudy, and rainy, are separately discussed, and OWEM shows greater performance and higher accuracies in comparison with the traditional Least Absolute Shrinkage and Selection Operator, Random Forest, Adaboost, LightGBM, and ensemble model, among which, OWEM under fair weather days behave best, with a robust R2 of 0.97 and a minimum mean absolute error (MAE) of 23 m. Further training results based on wind flow classification, that is, land breeze, sea breeze, and parallel wind, also indicate the outperformance of OWEM than other models, with a relatively large error in parallel wind of 50 m. Subsequent analysis of the Shapley Additive Explanations method strongly correlated with model feature importance, both reveal that thermodynamic factors such as temperature (T2m) and wind velocity (10 m U) are the major factors positively related to estimation accuracy during sunny days. Nevertheless, Relative Humidity dominates on rainy and cloudy days, TP on land breeze days, and dynamic variables like 10 m U and 10 m V on entire types of wind flow weather. In conclusion, the accurate estimation of CBLH from OWEM serves as a feasible and innovative approach, providing technical support for marine meteorology and related engineering applications, for example, onshore wind power, coastal ecological protection, etc.

Marketization and corporate cash holdings: Role of financial constraint alleviation

AbstractThis study examines the relationship between marketization and corporate cash holdings. Using a sample of the Chinese stock market spanning from 2007 to 2020, our empirical results show that marketization negatively affects corporate cash holdings. This effect is more pronounced for firms in the eastern and central regions of China and Chinese Growth Enterprise Market (GEM). Additionally, our study finds that investment opportunities and state‐owned features of firms play moderating roles in the effect of marketization on firms' cash holdings. State‐owned enterprises (SOEs) are less affected by marketization; however, the more investment opportunities a firm has, the greater is the negative impact of marketization on its cash holdings. Finally, we find that marketization can affect corporate cash holdings through firms' financing constraints. These results are robust to various tests and alternative explanations.