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Objective To establish an information management platform for provincial rare blood group bank to achieve the interconnection and sharing of data such as rare blood group types, donor information and blood inventory, so as to enhance the supply security of rare blood group blood. Methods The information barriers of rare blood group management in each business link and among blood stations in Zhejiang province were analyzed using fishbone diagram. Data modeling technology was introduced based on the unified blood collection and supply business system and blood cloud platform of Zhejiang, the database view of rare blood group donors and rare blood group was constructed through demand analysis and model design, and a unified query platform was developed to achieve the sharing of rare blood group information. Results The system integrated, retrievaled and displayed rare blood type information, achieving the interconnection of information among various business links and blood stations within blood banks. Up to now, in addition to RhD negative blood group, there were 8 types of rare red blood cells in the bank, covering 7 blood group systems, 289 rare blood group donors and 216 units of frozen red blood cells of rare blood group. Conclusion The information system based on data modeling can improve the overall efficiency and collaboration of the system, and reduce the workload of system development and operation. It can provide reference for standardized data management and application, and also provide a model for establishing and improving of a national rare blood group information network.

The present study analyzed the listed rare and endangered plants on List of National Key Protected Wild Plants in China (2021) and List of Key Protected Wild Plants in Zhejiang Province (2023) (to be announced), which are known to occur in Zhejiang Province and their patterns of distribution. Using the coefficients of endangerment, genetic value, and species value, priority protection of rare and endangered plants in the province was quantitatively analyzed. The results were as follows: (1) A total of 333 rare and endangered species belonging 229 genera in 101 families had been documented as occurring in Zhejiang, of which 311 species (accounting for 93.39%) were seed plants. The family Orchidaceae had the greatest species richness with 56 species in 32 genera. (2) At the regional level, the highest densities of rare and endangered plants in Zhejiang were mainly concentrated in the Tianmu Mountain area (including 147 species) in Northwest Zhejiang and the Donggong Mountain area (including 164 species) in Southwest Zhejiang, whereas fewer rare and endangered plant species were distributed in the plains of North Zhejiang. (3) Based on elevation, the distribution of rare and endangered species revealed a reversed “U”-shaped pattern of firstly increasing with increasing elevation and then decreasing as the elevation continued to increase. The largest number of rare and endangered species (144 in 113 genera of 60 families) was found at elevations 601 to 800 m above sea level (a.s.l) . (4) According to the quantitative analysis of priority protection, 82 species (24.62%) were classified as requiring the first level of priority protection (I), and 144 (43.24%), 85 (25.53%), and 22 (6.61%) species were classified as levels Ⅱ, Ⅲ, and Ⅳ, respectively. It is a species richness of rare and endangered plants in Zhejiang Province, and this analysis provides a more intuitive reflection of urgent need for a specific degree of protection for various species. The current status of each species is roughly consistent with the results, and it is necessary to strengthen monitoring for proposing dynamically adjustments of the priority protection order for rare and endangered plants. [ABSTRACT FROM AUTHOR]

Extreme precipitation events often present significant risks to human life and property, making their accurate prediction an essential focus of current research. Recent studies have primarily concentrated on exploring the formation mechanisms of extreme precipitation. Existing prediction methods do not adequately account for the combined terrain and atmospheric effects, resulting in shortcomings in extreme precipitation forecasting accuracy. Additionally, the satellite data resolution used in prior studies fails to precisely capture nuanced details of abrupt changes in extreme precipitation. To address these shortcomings, this study introduces an innovative approach for accurately predicting extreme precipitation: the multimodal attention ConvLSTM-GAN for extreme rainfall nowcasting (ER-MACG). This model employs high-resolution Fengyun-4A(FY4A) satellite precipitation products, as well as terrain and atmospheric datasets as inputs. The ER-MACG model enhances the ConvLSTM-GAN framework by optimizing the generator structure with an attention module to improve the focus on critical areas and time steps. This model can alleviate the problem of information loss in the spatial–temporal convolutional long short-term memory network (ConvLSTM) and, compared with the standard ConvLSTM-GAN model, can better handle the detailed changes in time and space in extreme precipitation events to achieve more refined predictions. The main findings include the following: (a) The ER-MACG model demonstrated significantly greater predictive accuracy and overall performance than other existing approaches. (b) The exclusive consideration of DEM and LPW data did not significantly enhance the ability to predict extreme precipitation events in Zhejiang Province. (c) The ER-MACG model significantly improved in identifying and predicting extreme precipitation events of different intensity levels. [ABSTRACT FROM AUTHOR]

All provinces of China respond to the central government, predict future carbon dioxide emissions, and formulate action plans detailing how the province intends to fulfill its target of carbon emission peaking before 2030. Based on the bottom‐up energy consumption prediction and top‐down goal verification, this paper constructs a set of regional carbon dioxide emission prediction methods. Compared to the traditional bottom‐up prediction method, this method could simplify the parameters while improving the prediction accuracy. This model is used to predict and analyze the process of carbon dioxide emission peaking in Zhejiang. The results show that the mean absolute percentage error of the retrospective prediction value is only 1.56%. Zhejiang will reach carbon dioxide emission peaking around 2029–2030, and the peak value will be 569.7 million tons. Different factors have different effects on the process of carbon dioxide emission peaking. There is a strong correlation between the peak time of carbon dioxide emission and the production time of major energy‐consuming projects in Zhejiang. Meanwhile, if the 16 nuclear reactors are not put into operation, Zhejiang will not be able to achieve the goal of carbon dioxide emission peaking. Besides, the basic data used in this model is mainly from the local statistical departments of the region. Thus, it can be applied to other provinces and regions conveniently. [ABSTRACT FROM AUTHOR]

Carex linanensis X.D.Qiu & X.F.Jin, a new species in sect. Mitratae of the sedge family (Cyperaceae) from north-western Zhejiang is described and illustrated. We performed a statistical comparison of the new species with other closely-related species from the same section. Carex linanensis is similar to Carex sachalinensis F.Schmidt, but differs in having leaf blades 1–2 mm wide (vs. 2.5–3.5 mm wide), utricles longer than pistillate glumes, with beak margin smooth (vs. barbate) and peduncles of lateral spikes enclosed in bract sheaths (vs. exserted from bract sheaths). [ABSTRACT FROM AUTHOR]

Significant carbon emissions, a key contributor to global climate warming, pose risks to ecosystems and human living conditions. It is crucial to monitor the spatial and temporal patterns of carbon emissions at the county level to reach the goals of carbon peak and neutrality. This study examines carbon emissions and economic and social problems data from 89 counties in Zhejiang Province. It employs analytical techniques such as LISA time path, spatio-temporal transition, and standard deviational ellipse to investigate the trends of carbon emissions from 2002 to 2022. Furthermore, it utilizes the GTWR model to evaluate the factors that influence these emissions on a county scale. The findings reveal the following: (1) The LISA time path analysis indicates a pronounced local spatial structure in the distribution of carbon emissions in Zhejiang Province from 2002 to 2022, characterized by increasing stability, notable path dependency, and some degree of spatial integration, albeit with a diminishing trend in overall integration. (2) The LISA spatio-temporal transition analysis indicates significant path dependency or lock-in effects in the county-level spatial clustering of carbon emissions. (3) Over the period 2002–2022, the centroid of carbon emissions in Zhejiang's counties mainly oscillated between 120°55′15″ E and 120°57′01″ E and between 29°55′52″ N and 29°59′11″ N, with a general northeastward shift forming a "V" pattern. This shift resulted in a stable "northeast–southwest" spatial distribution. (4) Factors such as population size, urbanization rate, and economic development level predominantly accelerate carbon emissions, whereas industrial structure tends to curb them. It is crucial to customize carbon mitigation plans to suit the circumstances of each county. This study provides insight into the spatial and temporal patterns of carbon emissions at the county level in Zhejiang Province. It offers crucial guidance for developing targeted and practical strategies to reduce carbon emissions. [ABSTRACT FROM AUTHOR]

The construction of specialty towns is positioned as an important breakthrough and down-to-the-ground path in the implementation of China's new-type urbanization strategy. It highlights the roles of place-based industrial specialization and agglomeration economics. In this process, the Chinese government plays a supportive and guiding role in enabling and aligning multiple actors to engage with to build new platforms for innovation and entrepreneurial activities that integrate the functions of production, living, and ecology. The specialty towns construction strategy is aimed at promoting people-based urbanization and the regional ability of endogenous development. Given the "top-down" and standardization-led nature of the specialty towns policy program, implementation and practices at the local level are both challenging and problematic. This paper adopts perspectives and concepts from evolutionary economic geography and agglomeration economics to explore the antecedents and mechanisms of urbanization. It emphasizes the geographical spatiality of the program in local implementation. Taking 134 provincial specialty towns of Zhejiang province as research cases, the paper refers to a mixed set of methodologies of on-site, interview-based fieldwork; an online survey; and a document analysis to identify the historical foundations, industry attributes, and development objectives of the specialty towns. It also generates a typology of the 134 specialty towns, as well as a typological guideline regarding policy intervention for the broader implementation of specialty towns in China. Three main types of specialty towns are identified in our study: The first type is built on the basis of state-led, sci-tech industrial parks/new towns, whose development aims are oriented toward the development of new industrial paths. The second type is based on firm-led specialized markets located in small administrative towns that support the upgrading and renewal of existing local traditional industries. The third type is featured by the local presence of place-specific natural or sociocultural resources, and it is based on scenic spots. It is oriented to the development of the tourism economy. In conclusion, this study promotes the incorporation of evolutionary economic geography perspectives into the policy implementation of specialty towns and calls for taking the concepts of history, space, and place into account for a better understanding of these towns. By so doing, future policy methods will not be standardized, quota-based, and top-down.

The atmospheric low-level vortex is an important weather system that causes rainstorm and flood in southern China. The vortex induced rainstorm is sudden and local, and its occurence time, intensity and falling area have always been difficult for meteorological forecasting. In order to improve the accuracy of rainstorm prediction in Zhejiang Province and improve the localization application of the prediction model, based on daily precipitation data of Zhejiang Province from 1979 to 2020 and reanalysis dataset from the National Centers for Environmental Prediction Climate Forecast System, climatic characteristics of the heavy rain in Zhejiang Province induced by low-level vortex is studied, the vortex induced rainstorm in Zhejiang mostly occurs in the rainy season and has obvious interannual variation characteristics. Then, the 850 hPa vertical velocity, water vapor flux divergence, velocity divergence, low-level jet, shear line and 700 hPa vertical velocity are used as ingredient factors, and the potential falling area forecast for heavy rain induced by vortex is constructed by using logistic regression algorithm. Finally, the forecast products of the European Medium-Range Weather Prediction Center are used to forecast the rainstorm falling area based on this model, and the actual data of the same period are used for systematic test and weather process test. Results show that the overall performance of the model is good, and the rainstorm prediction ability of 24 h and 12 h ahead is improved, which can increase from 12% accuracy and 20% to around 14% and 40% respectively, and the omission rate drops from more than 75% to around 60%, but there is a certain degree of empty report. The forecast model of Zhejiang Province based on logistic regression method has a good indicator for the prediction of such rainstorm areas, and is of great significance for meteorological disaster prevention and mitigation.

Copyright of Tropical Geography is the property of Tropical Geography Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Taking Zhejiang province as an example, based on county-level economic and social statistics, we established an index system for main factors driving the development of the digital economy. We used entropy, spatial autocorrelation, a Geographically Weighted Regression (GWR) model, and cluster analysis to explore the spatial differences between the development level and driving factors of the digital economy in Zhejiang. First, we observed spatial differences in the development of the digital economy in Zhejiang, with the level being high in the northeast and low in the southwest. Second, the influence of each driving factor represents strong spatial characteristics, and industrial innovation was the most important factor, with a distribution pattern of high in the east and low in the west. As a secondary driving factor, government input is consistent with the spatial layout of the economic factors. Commercial culture is strong in the south and weak in the north. Third, we observed multiple combinations of characteristics in the spatial differences of the four driving factors to establish the mechanism that drives the development of the digital economy in Zhejiang: the local digital economy/new business type is driven by the coupling of industrial innovation atmosphere and consumer demand, formed by developed market advantages. The three main bodies of consumers, government, and enterprises have formed a virtuous circle, promoting each other through the digitization of traditional industries and emerging digital industries, leading the development in the surrounding counties. Fourth, under the action of the four factors, three types of regional development types and 13 subcategories have generally been formed in Zhejiang: enterprise-consumer-led, business-government-led, government-consumer-led. Certain places, such as Hangzhou and Ningbo, are leading the implementation of the concept of digital development, creating the core of the digital economy in Zhejiang; Jiaxing and Jinhua are relying on transportation hub cities or global wholesale centers to rapidly develop intelligent logistics and transportation. In addition, with the support of the government, the later-developing areas are improving their infrastructure and developing the digital industry represented by ecology and tourism. For this reason, in the process of empowering digital economy development, complete attention should be paid to the development path of ecology, tourism, and other suitable digital industries in underdeveloped areas under the leadership of the government. We observed that enterprises and consumers create emerging digital industries in the leading areas of the digital economy in Zhejiang and then promote the digital transformation and upgrading of industries and governments. However, in the later-developing areas dominated by policy investment, the development of the digital economy is mostly oriented toward meeting the needs of industries and consumers, and the force driving emerging digital industries is weak.

Background Helicobacter pylori (H. pylori) infection is the main cause of gastric cancer, but with the increase of H. pylori antibiotic resistance, the eradication rate has not substantially improved in many areas. Objective To understand the H. pylori antibiotic resistance situation in Wenzhou from 2013—2020, and analyse the difference of H. pylori antibiotic resistance with time period, age and gender. Methods From 2013-01-01 to 2020-12-31, a total of 47 658 patients undergoing gastroscopy in Wenzhou Central Hospital were selected. Gastric mucosa specimens were collected for H. pylori isolation and culture, and the isolated H. pylori strains obtained from the culture were analyzed for drug susceptibility to six antibiotics, including levofloxacin, clarithromycin, amoxicillin, metronidazole, tetracycline and furazolidone. A chi-square test was used to compare H. pylori antibiotic resistance rate between years, age groups and sexes. Results Multiple antibiotic resistance existed in 16 847 H. pylori strains isolated in Wenzhou from 2013—2020. Separate statistics on the resistance rates of H. pylori to the six commonly used antibiotics revealed that the resistance rates to levofloxacin, clarithromycin and metronidazole were high in the region, respectively 32.81% (5 536/16 874) 、26.02% (4 390/16 874) 、95.67% (16 144/16 874) . The resistance rate to amoxicillin was low, only 0.28% (47/16 874) , and 1.36% (25/1 844) in 2017. No strains were found with resistance to tetracycline hydrochloride and furazolidone. From 2013 to 2020, there were statistically significant differences in H. pylori resistance rates to levofloxacin, clarithromycin and amoxicillin (P88.00%) with no statistical difference (P>0.05) . There was statistically significant difference in the H. pylori resistance rate for evofloxacin, clarithromycin and metronidazole between female and male (P0.05) . There was statistically significant difference in the H. pylori resistance rate for levofloxacin or clarithromycin among different age groups in the region (P0.05) . Conclusion The H. pylori antibiotic resistance rate differed by year, and varied across different age and sex groups of H. pylori-positive cases in Wenzhou during the period. The overall H. pylori resistance rate was high. The eradication regimens based on metronidazole, clarithromycin or levofloxacin are difficult to achieve satisfactory results, so clinical H. pylori eradication treatment based on drug sensitivity test results should be encouraged.

Urban land use/land cover (LULC) monitoring and prediction are vital for understanding the spatiotemporal change dynamics of future land uses. They provide the necessary data for effectively planning and managing natural land resources. In this study, we analyzed and simulated the changes in urban LULC within Zhejiang Province, a region in China experiencing rapid urbanization. By exploring the historical change dynamics of the region, we observed substantial transformations in the extent of built-up areas, forests, and agricultural land from 1995 to 2020. Specifically, the study area witnessed the expansion in urban built-up areas by approximately 6126.93 km2, while forests and agricultural land witnessed decreases of 3252.47 km2 and 2885.13 km2, respectively. To predict the study area's future LULC, a cellular automata (CA) model was utilized in combination with an advanced patch-generating land use simulation (PLUS) model. This integrated approach allowed for multiple land use predictions based on different scenarios. Under the baseline scenario (BLS), it was projected that the area of urban expansion in Zhejiang Province would be approximately 4501.62 km2. However, under the scenario of cultivated land and ecological protection, i.e., CLPS and EPS, urban growth was observed to be 538.64 km2 and 1776.16 km2, respectively. These findings indicate that the extent of built-up area development in Zhejiang Province is significantly reduced when the CLPS and EPS are implemented in comparison to the BLS. Therefore, policy interventions are crucial to protect agricultural land and conserve ecological areas. This research provides the scientific data needed for proper planning and serves as reference data for other regions with similar rapid urbanization. [ABSTRACT FROM AUTHOR]

Two new species of Ochlodes Scudder, 1872, Ochlodes pseudochraceus Zhu, Fan & Wang, sp. nov. and Ochlodes cryptochraceus Zhu, Fan & Chiba, sp. nov., are found in China and described, and Ochlodes rikuchina (Butler, 1878) stat. rev. is restored. A lectotype is designated for Pamphila ochracea Bremer, 1861, and a neotype is designated for Pamphila rikuchina Butler, 1878. Overall, the two new species are similar to Ochlodes ochraceus (Bremer, 1861). They, however, can be distinguished from the latter and other species in the genus: O. pseudochraceus has long radial spots in spaces R3-5, and the lateral process of the phallus gradually widens at the distal half in male genitalia; O. cryptochraceus has the lateral process of the phallus enlarged only at the distal tip. Based on the phylogenetic analyses of the mitochondrial COI gene, members of currently defined O. ochraceus are grouped into four clades. The genetic distances between O. pseudochraceus and O. ochraceus, O. cryptochraceus and O. ochraceus, O. rikuchina and O. ochraceus, and O. pseudochraceus and O. cryptochraceus are 3.2%, 2.1%, 1.9%, and 2.7%, respectively. Based on the molecular and morphological evidence, O. pseudochraceus, O. cryptochraceus, and O. rikuchina are treated to be distinct species. The adult habitus and male and female genitalia of the new species are illustrated as well as those of O. ochraceus and O. rikuchina. [ABSTRACT FROM AUTHOR]

Significant carbon emissions, a key contributor to global climate warming, pose risks to ecosystems and human living conditions. It is crucial to monitor the spatial and temporal patterns of carbon emissions at the county level to reach the goals of carbon peak and neutrality. This study examines carbon emissions and economic and social problems data from 89 counties in Zhejiang Province. It employs analytical techniques such as LISA time path, spatio-temporal transition, and standard deviational ellipse to investigate the trends of carbon emissions from 2002 to 2022. Furthermore, it utilizes the GTWR model to evaluate the factors that influence these emissions on a county scale. The findings reveal the following: (1) The LISA time path analysis indicates a pronounced local spatial structure in the distribution of carbon emissions in Zhejiang Province from 2002 to 2022, characterized by increasing stability, notable path dependency, and some degree of spatial integration, albeit with a diminishing trend in overall integration. (2) The LISA spatio-temporal transition analysis indicates significant path dependency or lock-in effects in the county-level spatial clustering of carbon emissions. (3) Over the period 2002–2022, the centroid of carbon emissions in Zhejiang’s counties mainly oscillated between 120°55′15″ E and 120°57′01″ E and between 29°55′52″ N and 29°59′11″ N, with a general northeastward shift forming a “V” pattern. This shift resulted in a stable “northeast–southwest” spatial distribution. (4) Factors such as population size, urbanization rate, and economic development level predominantly accelerate carbon emissions, whereas industrial structure tends to curb them. It is crucial to customize carbon mitigation plans to suit the circumstances of each county. This study provides insight into the spatial and temporal patterns of carbon emissions at the county level in Zhejiang Province. It offers crucial guidance for developing targeted and practical strategies to reduce carbon emissions.

Cholera caused by Vibrio cholerae O139 was first reported in Bangladesh and India in 1992. To determine the genomic epidemiology and origins of O139 in China, we sequenced 104 O139 isolates collected from Zhejiang Province, China, during 1994–2018 and compared them with 57 O139 genomes from other countries in Asia. Most Zhejiang isolates fell into 3 clusters (C1–C3), which probably originated in India (C1) and Thailand (C2 and C3) during the early 1990s. Different clusters harbored different antimicrobial resistance genes and IncA/C plasmids. The integrative and conjugative elements carried by Zhejiang isolates were of a new type, differing from ICEVchInd4 and SXTMO10 by single-nucleotide polymorphisms and presence of genes. Quinolone resistance–conferring mutations S85L in parC and S83I in gyrA occurred in 71.2% of the Zhejiang isolates. The ctxB copy number differed among the 3 clusters. Our findings provided new insights for prevention and control of O139 cholera .

Two new species, Samarangopus testudineus sp. nov. from Hunan, South China and S. rotundifolius sp. nov. from Zhejiang, East China, are described and illustrated. Samarangopus testudineus sp. nov. is characterized by unusual testudinal patterns on the dorsal side of the body and well-differentiated marginal protuberances on tergites. Samarangopus rotundifolius sp. nov. features large, round, leaf-shaped marginal protuberances and small, candle-like dorsal protuberances on tergites. Both of these species are compared to similar species in detail. In addition, Eurypauropus japonicus Hagino & Scheller, 1985 is newly recorded from China. [ABSTRACT FROM AUTHOR]

Copyright of Tropical Geography is the property of Tropical Geography Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Physomerinus jiulongensis sp. nov. is described from a series of overwintering individuals collected in decomposing wood at Jiulong National Wetland Park, East China. The new species is characterized and separated from related congeners by the unique form of the sexually dimorphic maxillary palpi, greatly swollen male metafemora, as well as by the shape of the genitalia of both sexes. A key to, and a distributional map of, Physomerinus species occurring in China and on the Ryukyu Islands, Japan is provided. [ABSTRACT FROM AUTHOR]

Geological events and landscape features, as well as changes in the climate during the Pliocene period, have shaped the distribution of genetic diversity and demographic history of freshwater fish in mainland China. In this study, we investigated the phylogeny and population genetic structure of Acrossocheilus species (A. fasciatus, A. kreyenbergii and A. wenchowensis) in the Zhejiang region by the mitochondrial cytochrome b (cyt-b) and control (D-loop) region s. Mitochondrial phylogenetic analysis revealed three major lineages (lineages A, B and C), which may represent A. fasciatus, A. wenchowensis and A. kreyenbergii, respectively. Our results revealed that A. fasciatus and A. wenchowensis diverged from A. kreyenbergii in the Zhejiang region. The uplift of the Wuyi Mountains and the Xianxia Mountains served as an important geographic barrier in the diversification of the three Acrossocheilus species. The most recent common ancestors (TMRCAs) of the three lineages and lineages A + B were dated to 1.859 and 1.614 myr, respectively. Our results indicate that the effective population sizes of A. fasciatus and A. wenchowensis remained constant from the past to the present, as supported by ABC analysis. For conservation and protection, a strategy is required because of their genetic uniqueness, and we suggest that the two regions divided by the Xianxia Mountains be regarded as different management units (Mus), conforming to the major zoological regions of the Zhejiang region. [ABSTRACT FROM AUTHOR]

This study investigates the characteristics of tropical cyclones (TCs) that cause extreme hourly precipitation (EXHP) in Zhejiang, China, using datasets from 67 national stations (Con-ST) and 1551 surface stations (All-ST), spanning 1973–2020 and 2011–2020, respectively. Our analysis revealed notable variations in the EXHP caused by individual TCs. The top 10 % of TCs contributed 37.2–38 % of the total TC-induced EXHP amount, while the bottom 50 % only accounted for 5.8–22.7 %. Using sparse stations may overestimate the impact of TCs causing EXHP in the lower to middle rankings. Long-term trend analysis suggested a consistent increase in TC-induced EXHP despite a decreasing trend in the number of TCs affecting Zhejiang. High-value EXHP centers tended to be concentrated in mountainous areas within 0–50 km from the coastline, where Con-ST stations are sparse and can significantly underestimate EXHP. The maximum amount of EXHP per TC increased logarithmically with the number of observation stations. In Zhejiang, EXHP predominantly occurred northeast of the TC centers (50.4–61.7 %) and within 500 km from the TC center (69.5–81.5 %). High-frequency EXHP centers exhibited a clockwise rotation with increasing distance from the TC center–a pattern resembling a "spiral rainband." A key area where most EXHP in Zhejiang occurred when TC centers remained within this area was identified. The TC intensity within the key area was a key factor influencing EXHP occurrence in Zhejiang, whereas the duration of TC center residence within the key area and the distance of its movement were crucial predictors of significant EXHP occurrence. The analysis of large-scale environmental fields revealed that high-EXHP TCs are characterized by strong upper-level divergence, intense upward motion, and an expanded subtropical high. The southeasterly steering airflow drives these TCs northwestward, prolonging their impact on Zhejiang and resulting in significant moisture accumulation and EXHP. • From 1973 to 2020, 134 out of 208 tropical cyclones (TCs) affecting Zhejiang caused extreme hourly precipitation (EXHP) • Sparse station data can overestimate the impact of lower to middle-ranking TCs on EXHP in Zhejiang • High-value EXHP centers near coastlines (0–50 km) in mountainous areas are underestimated by sparse national stations • The maximum accumulated EXHP from TCs increased logarithmically with the number of observation stations • TC intensity and duration were crucial predictors of EXHP occurrence and magnitude, respectively [ABSTRACT FROM AUTHOR]

Objective To establish a management information system (referred to as the system) for plasma collection stations in Zhejiang province, so as to explore the current situation of plasma donors and implement effective supervision in Zhejiang. Methods The system was developed and connected to four plasma collection stations that were officially operating in Zhejiang in terms of plasma station setting and approval, as well as the publicity, recruitment and management of plasma donors, information management of the whole process of plasma collection, management of deferral plasma donors, plasma quality management and administrative supervision etc. Relevant plasma donor information was uploaded to the system by each plasma station, and information before (January 2016 to December 2020) and after (January 8, 2021 to June 2021) the system was collected. Information included the number of plasma donors/donations, demographic information of eligible plasma donors in the past 5 years, the type of plasma donors, and the deferral donors after the system was activated. The online approval of Plasma Donation Certificate and the intelligent supervision of key points of plasma apheresis stations in Zhejiang were also conducted. The frequency and composition ratio were described, and chi-square test was used for statistical analysis. Results The system (V1.0) was established and was officially launched on January 8, 2021, realizing the interconnection of blood donation and plasma donation information as well as the unified management of 24 quality indicators. Since the system was applied (January 8, 2021-June 2021), the proportion of donors both donated blood and plasma over the province was 3.56 (832/23 389), and 352 deferred donors were masked by the system. And 30.11% (106/352) , who intended to donate plasma, were deferred due to insufficient interval after blood donation; 11.65% (41/352) due to permanent masking in blood donations; 23.86% (23.86%) , who intended to donate blood, were deferred due to insufficient interval after plasma donation ( 84/352); 34.38% (121/352) due to permanent masking in plasma donations. The median approval rate of four plasma stations applying for Plasma Donation Certificate before the system (January 1, 2016 to January 7, 2021) and after the system (January 8 to June 2021) were 93.38% (10 609/11 361) vs 99.50% (2 602/2 615). Before the system was put into launch, the ratio of male to female donors and the proportion of regular donors showed an overall upward trend, while the age decreased slightly. The median proportion of women in the past 5 years was 61.52 %, significantly higher than that in last 6 months after the launch(58.86%). Conclusion The application of the system can realize information interconnection between blood centers and plasma collection stations in Zhejiang as well as the real-time supervision of plasma collection process, which is helpful to overcome the shortcomings in plasma donor management.

The Characteristic Town (CT) program is one of the most notable strategies in China's urbanization process in recent years, responding to the drawbacks of the past decades of crude urbanization development model and maintaining and promoting capital accumulation and economic growth with innovative approach to space production. However, no studies have been conducted to examine whether residents actually benefit from it. Therefore, we combined desk research, participatory observation, in-depth interviews, and questionnaires to evaluate its influence on residents in two representative cases in Hangzhou, Zhejiang Province, where the program originated. The results show limited improvement in public benefits: a general but insignificant improvement in the living standard of the residents; residents' public participation is generally lacking; residents' cognition of self-identity has begun to appear deviation, and barriers between them and foreign workers have begun to emerge; residents' assessment of the new development strategy varies from case to case. Compared to other urban and rural redevelopment, renewal, and construction practices around the world, the CT program does not seem to appear to be overly special or advanced in terms of securing and enhancing public benefits. To this end, this study concluded that it is necessary to consider the need to adopt an official evaluation system that attaches equal importance to economic, environmental, and social factors, further strengthen the supervision of local financial expenditure, effectively strengthen the role of the public, improve infrastructure and public service facilities, and enhance the comprehensive training of indigenous people. [ABSTRACT FROM AUTHOR]

Zhejiang province marine waters are a significant place of commercial fisheries in China as these resources are rich in fish fauna. However, decreased fish biomass catch has been observed during recent years, putting a big question about the ongoing stock status of commercial fisheries. Therefore, this paper strives to appraise the population dynamics of Trichiurus lepturus in Zhejiang, China which would help fishery managers. For this, authentic data, 1999 - 2018, collected from Fishery Yearbooks of China was statistically evaluated through depletion models (DMs). In principle, three models, viz., Fox (FM), Schaefer (SM), and Pella-Tomlinson (PTM) of surplus production models (SPMs), a specialized form of DMs, were used and compared for getting the better-fitted model to draw results. SPMs were applied with the help of computer-based fishery analysis software, i.e., catch and effort data analysis (CEDA) and a stock production model incorporating covariates (ASPIC). In the principle initial portion (IP = 0.9), CEDA output showed higher values of maximum sustainable yield (MSY) (480000 - 614000 t) as compared to ASPIC (468000 - 583000 t). Similarly, R2 values followed the pattern of estimation with MSY. Research findings signpost overexploitation of T. lepturus. Therefore, it is recommended to lower the catch quantity of T. lepturus to safeguard this fishery resource for the future. Besides, further analogous research is strongly advised prior to making or executing any administration strategy. [ABSTRACT FROM AUTHOR]

BackgroundDue to repeated COVID-19 outbreaks worldwide, COVID-19 containment in China has become a routine social issue, entering a new phase of containment, and residents' health literacy about infection disease prevention and treatment has obtained increasing attentions.ObjectiveTo explore the health literacy about infection disease prevention and treatment in residents of Taizhou, Zhejiang during 2017—2020, and to analyze the trend of changes as well as influencing factors, providing scientific evidence for the precise implementation of actions for achieving "Healthy Taizhou 2030".MethodsThis study was implemented from 2017 to 2020 with Taizhou permanent residents aged between 15 and 69 selected using multistage random sampling, for investigating their demographics, socioeconomic features and health literacy about infection disease prevention and treatment using the National Residents' Health Literacy Monitoring Questionnaire developed by us. In January 2021, the data of health literacy about infection disease prevention and treatment of residents in Taizhou City in four years was analyzed. The health literacy data during 2017—2020 were comparatively analyzed after being processed with weight standardization, and the trend of changes during the period was analyzed using a Chi-squared test for linear trend. Binary logistic regression was used for identifying factors associated with relevant health literacy of these residents in 2020.ResultsThe number of respondents for the survey conducted in four consecutive years from 2017 to 2020, was 3 595, 5 389, 5 929, and 5 847, respectively. The samples in the four yearly surveys showed basically similar demographics, with those aged 45-54 (27.42%-30.46%) , education level was junior high school (27.78%-29.93%) , occupation was farmer (44.52%-58.03%) accounting for the largest proportion. The urban to rural population ratio for the sample of four consecutive yearly surveys was 0.50∶1, 0.55∶1, 0.54∶1 and 0.52∶1, respectively. And the male to female ratio was 1∶1, 0.95∶1, 0.99∶1 and 0.94∶1, respectively. The prevalence of having health literacy about infection disease prevention and treatment for 2017—2020 was 7.86% (642/3 595) , 19.00% (1 024/5 389) , 19.51% (1 157/5 929) , and 27.14% (1 587/5 847) , respectively. After the data were processed with weight standardization, the prevalence of health literacy regarding infectious disease prevention and treatment in 15-69-year-old residents in 2017—2020 was 22.25%, 24.72%, 25.34% and 33.14%, respectively. The health literary level regarding infectious disease prevention and treatment in the residents showed a successive linear increment during the study period regardless of living in rural or urban areas, sex, age (except for 65-69 year olds) , and education level (except for illiteracy/lower illiteracy) , and occupation (P

ObjectiveTo evaluate the ability of the ForenSeqTM DNA Signature Prep kit （ForenSeq kit） in analyzing the sequence information of STRs in Zhejiang She ethnic group and its forensic application efficacy.MethodsA total of 50 Zhejiang She ethnic group samples were sequenced with the ForenSeq kit on the MiSeq FGx platform. The data was analyzed using ForenSeqTM universal analysis software to obtain the motif structure and flank regions of the 58 STRs, then compared with PCR-CE typing results to test the consistency. At last, the allele frequency and population genetic parameters were calculated.ResultsA total of 448 sequence polymorphic alleles were detected in 50 samples of Zhejiang She ethnic group. Compared with fragment length polymorphism detected by PCR-CE, 82 alleles were increased by MPS detection based on ForenSeq kit, and 7 SNPs variation were detected in the flanking regions of 6 loci. The 22 male individuals were genotyped, and total 19 haplotypes were detected in 24 Y chromosome STRs of these 22 males. The cumulative discrimination power of the 27 autosomal STRs was 1-8.87×10-30, the cumulative probability of exclusion of duo-testing was 0.999 999 962 640 657, the cumulative probability of exclusion of trios-testing was 0.999 999 999 999 633.ConclusionBased on MPS typing technology, using the ForenSeq kit greatly improves the detection efficiency. In addition, the 58 STRs have good genetic polymorphisms in Zhejiang She ethnic group, which are suitable for individual identification and paternity identification in forensic application.

Water pollution is closely related to the development of water pollution-intensive industries, but there is a lack of relevant research, and few studies to verify the existence of “pollution heaven.” This paper aims to study the layout and the spatio-temporal evolution of water-polluting enterprises. Taking Zhejiang Province, China as an example, this study visualized the spatial distribution of water pollution enterprises under the “Five Water Treatment” regulations during 2018–2022. At the same time, based on the Mann-Whitney U test, this paper verifies the hypothesis of pollution paradise in Zhejiang Province. The results show that the distribution of water pollution enterprises in Zhejiang is clustered, and water pollution control has been realized to a certain extent. However, water pollution enterprises still tend to be located in areas with lower environmental standards and weak environmental regulations. In view of this, the government should optimize the industry structure, strengthen the supervision of suburban water pollution enterprises.

The genus Pseudophanias Raffray includes 19 species distributed in the Oriental Region. Here, the first species from continental China, P. tianmuensis Yin & Zhao sp. nov., is described and illustrated from West Tianmu Mountain. This species can be readily separated from all congeners by the coarse vestiture, along with its male features. A previous key to Pseudophanias species of East and South Asia is modified to accommodate the new species. [ABSTRACT FROM AUTHOR]

This paper focuses on the regional inequality of resident income in local China at the county or district level, and Zhejiang Province is set as the empirical case. It takes a geographic approach to detect the spatial distribution pattern of resident income, and explore the relationship with regional-specific socio-economic factors. The analytical framework proposed by us has been proved appropriate by the case study. Our study results show that in terms of the resident income level, there exists great regional gap in Zhejiang with the northeast wealthy cluster and much poorer cluster in the southwest. The disposable income of residents is mainly determined by commerce prosperity, urban intensity and technological capacity of local areas, while the effect of regional income, household deposits and industrial production are much less or no significant. Our findings for Zhejiang lead us to suggest that those local states seeking to improve people's livelihood and income should not solely rely on the industrial or manufacturing expansion, but pay more attention to business environment, urban construction and indigenous innovation. Also, to narrow the significant regional gap of resident income, extra efforts should be made to push the regional cooperation system in economic development. [ABSTRACT FROM AUTHOR]