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Characteristics and Preliminary Causes of Tropical Cyclone Remote Precipitation over China

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Journal of Ocean University of China 2024年第4期23卷 845-858页

作者： JIA Li REN Fumin MCBRIDE John Leonard CONG Chunhua School of Atmospheric Science Nanjing University of Information Science and TechnologyNanjing 210044China state Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China School of Earth Science University of MelbourneMelbourne 3052Australia Research and Development Division Bureau of MeteorologyMelbourne 3052Australia Shandong Meteorological bureau Jinan 250031China

In this study,the characteristics and preliminary causes of tropical cyclone remote precipitation(TRP)over China during the period from 1979 to 2020 are *** indicated that approximately 72.42%of tropical cyclones(TCs)in the Western Pacific produce TRP over *** peak months for TRP are July and *** four key regions of TRP are the adjacent areas between the Sichuan and Shaanxi Provinces,the northern coast of the Bohai Sea,the coast of the Yellow Sea,and the southern coast *** typical distance between the station with TRP and the TC center ranges from 1500 to 2500 *** of these stations are situated north to 60°west of north of the *** south–west water vapor transportation on the west side of the TC is crucial to *** has a decreasing trend because of the decrease in the number of TCs that generate *** the perspective of large-scale environmental conditions,a decrease in the integrated horizontal water vapor transport in China' Mainland,the weakening of upward motion at approximately 25°–35°N,which is inconducive to convection,and an increase in low-level vertical wind shear,which is unfavorable for the development of TC in areas with high frequencies of TRP-related TCs,are the factors that result in the decreasing trend of TRP.

关键词： tropical cyclone remote precipitation characteristics causes

Exploiting demand-side heterogeneous flexible resources in risk management of power system frequency

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Science China(Technological Sciences) 2024年第5期67卷 1612-1627页

作者： YAO Yu SONG YongHua YE ChengJin DING Yi ZHAO YuMing College of Electrical Engineering Zhejiang UniversityHangzhou310027China state Key Laboratory of Internet of Things for Smart City University of MacaoMacao SAR519000China Shenzhen Power Supply bureau Co. Ltd.Shenzhen518051China

More demand-side flexible resources(DFRs)are participating in the frequency regulation of renewable power systems,whose heterogeneous characteristics have a significant impact on the system frequency ***,selecting suitable DFRs poses a formidable challenge for independent system operators(ISO).In this paper,a reserve allocation methodology for heterogeneous DFRs is proposed to manage the risk of power system ***,a performance curve is developed to describe the cost,capacity,and response speed of ***,a clustering method for multiple distributed DFRs is conducted to calculate the aggregated performance curves and uncertainty ***,the frequency security criterion considering DFRs’performance is constructed,whose linearity makes it can be easily coupled into the system scheduling model and ***,a risk management model for DFRs considering frequency-chance-constraint is proposed to make a trade-off between cost and frequency ***,the model is transformed into mixed integer second-order cone programming(MISOCP)and solved by the commercial *** proposed model is validated by the IEEE 30 and IEEE 118 bus systems.

关键词： demand-side heterogenous flexible resources risk management of power system frequency performance curve aggregation method mixed integer second-order cone programming

Origin and Geological Significance of the Cambrian-Permian Mafic-felsic Magmatic Rocks in the Longshenggeng Area of the East Kunlun Orogenic Belt

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Journal of Earth Science 2024年

作者： Li Hua Su Huimin Tong Haikui Luo Changhai Zhang Jianxin Wang Tao Li Wenjun Xue Chaoping Dong Jiaxiang Che Yuying Chen Xiaolin Li Xiong Qinghai Provincial bureau Geological Survey bureau， MNR Technology Innovation Center for Exploration and Exploitation for Strategic Mineral Resources in Plateau Desert Region state Key Laboratory of Geological Processes and Mineral Resources， Collaborative Innovation Center for Exploration of Strategic Mineral Resources， School of Earth Resources， China University of Geosciences Northwest bureau of China Metallurgical Geology bureau The Third Geological Exploration Institute of Nonferrous Metals Xining

A set of ultramafic-mafic-felsic rock assemblages was discovered in the Longshenggeng area of the eastern part of the East Kunlun Orogenic Belt. Petrography， chronology and whole-rock geochemistry were conducted on this set of intrusive rock assemblages. U-Pb dating of apatite shows that the lherzolite formed at (492 ± 5) Ma， the granite at (473 ± 6) Ma， and the diabase at (260 ± 14) Ma， respectively. The lherzolites belong to a Supra-Subduction Zone type (SSZ-type) ophiolite component above a subduction zone; the granites formed in an ocean-continent subduction setting; and the diabases represent products of partial melting of an asthenospheric mantle at shallow depth. The East Kunlun Orogenic Belt features the East Kunzhong and Buqingshan-Animaqing ophiolitic melange belts， with the latter representing remnants of the Proto-Tethys Ocean. The late Cambrian lherzolites and granites in the Longshenggeng area were magmatic products of the back-arc ocean basin and island arc formed during the northward subduction of the Proto-Tethys Ocean. Subsequently， extensive island arc magmatism occurred from the late Permian to middle Triassic， driven by the northward subduction of the Paleo-Tethys Ocean beneath the East Kunlun Block. The diabase may have formed during the transition from subduction to post-collisional extension.

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Study　on　electric　variations　of　media　in　epicentral　area　by　geomagnetic　transfer　functions

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Acta Seismologica Sinica(English Edition) 1995年第3期8卷 413-418页

作者：曾小苹林云芳朱忠杰续春荣赵明张崇阳刘绮亮 Institute of Geophysics State Seismological Bureau Beijing China seismological bureau of Gansu Province Lanzhou China Institute of Crustal Dynamics State Seismological Bureau Beijing China

Taking the graph of the apparent resistivity Pyx in Lanzhou area, its geomagnetic transfer function variations andthe investigation of moderate-strong local earthquakes as example and *** viewpoint of seismomagnetic effect,the authors found that subterranean conductivity values might be applied to the division of Lanzhou areafrom the surface downward into four layers, i. e., the anomalous, the transitional,the non-anomalous and theanomalous layer. Only the transfer function modular |A| and |B|,magnetic azimuth ap with its variance ap,and the total variance yi in the anomalous layers showed obvious anomalies with time changes. Thus, it could beconjectured that the anomalous layer was closely associated with the anisotropic variations of conductivity of thesubterranean media in the seismicity *** phenomenon might provide a way to the further study of itsmechanism. It is needed to study the inherent connotation deeply.

关键词： geomagnetic pulsation apparent resistivity anomalous layer,electric variation of media

Modularized and Parametric Modeling Technology for Finite Element Simulations of Underground Engineering under Complicated Geological Conditions

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 621-645页

作者： Jiaqi Wu Li Zhuo Jianliang Pei Yao Li Hongqiang Xie Jiaming Wu Huaizhong Liu state Key Laboratory of Hydraulics and Mountain River Engineering College of Water Resource and HydropowerSichuan UniversityChengdu610065China Research Institute of Testing and Inspection Sinohydro Bureau 7 Co.Ltd.Chengdu610213China

The surrounding geological conditions and supporting structures of underground engineering are often updated during construction,and these updates require repeated numerical *** improve the numerical modeling efficiency of underground engineering,a modularized and parametric modeling cloud server is developed by using Python *** basic framework of the cloud server is as follows:input the modeling parameters into the web platform,implement Rhino software and FLAC3D software to model and run simulations in the cloud server,and return the simulation results to the web *** modeling program can automatically generate instructions that can run the modeling process in Rhino based on the input modeling *** main modules of the modeling program include modeling the 3D geological structures,the underground engineering structures,and the supporting structures as well as meshing the geometric *** particular,various cross-sections of underground caverns are crafted as parametricmodules in themodeling *** and parametric modeling program is used for a finite element simulation of the underground powerhouse of the Shuangjiangkou Hydropower *** complicatedmodel is rapidly generated for the simulation,and the simulation results are ***,this modularized and parametric modeling program is applicable for three-dimensional finite element simulations and analyses.

关键词： Underground engineering modularized and parametric modeling finite element method complex geological structure cloud modeling

A census tract-level assessment of social determinants of health,traffic exposure,and asthma exacerbations in New York state's Medicaid Population(2005–2015)

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Eco-Environment & Health 2024年第3期3卷 300-307页

作者： Temilayo Adeyeye Tabassum Zarina Insaf Catherine Adler Victoria Wagner Anisa Proj Susan McCauley bureau of Environmental and Occupational Epidemiology New York State Department of HealthAlbanyNY 12237USA Department of Environmental Health Sciences University at Albany School of Public HealthAlbanyNY 12222USA bureau of Cancer Epidemiology New York State Department of HealthAlbanyNY 12237USA Department of Epidemiology and Biostatistics University at Albany School of Public HealthAlbanyNY 12222USA Office of Quality and Patient Safety New York State Department of HealthAlbanyNY 12237USA bureau of Chronic Disease Evaluation and Research New York State Department of HealthAlbanyNY 12237USA

This study aims to evaluate the association between social determinants,environmental exposure metrics,and the risk of asthma emergency department(ED)visits in the New York state(NYS)Medicaid population using smallarea *** densities for each census tract in NYS were calculated using the length of road segments within each tract and total area of the tract to produce a measure of average number of vehicles per square meter per *** on social determinants of health including internal and external environments and other demographic factors were obtained from various *** regression analyses were conducted to identify significant factors associated with asthma ED visits in Medicaid claim and encounter data for years 2005–*** traffic density in NYS excluding New York City(NYC)correlated with increased risk of asthma ED visits(RR 1.69;95%CI:1.42,2.00),mitigated by adjusting for environmental and social determinants(RR 1.00;95%CI:0.85,1.19).Similar trends were observed in NYC only(RR 1.19;95%CI:1.00,1.41),with the adjusted risk remaining elevated(RR 1.14;95%CI:0.98,1.33)albeit not statistically *** in census tracts with high concentrated disadvantage index,high proportions of minorities,and less green space predicted higher asthma ED *** mapped predicted rates and model residuals to identify areas of high *** results support previous findings that environmental and social risk factors in poor and urban areas contribute to asthma exacerbations in the NYS Medicaid population,even if they may not necessarily contribute to its development.

关键词： Asthma Medicaid Social determinants Traffic density Environmental exposures

Mapping soil organic matter in cultivated land based on multi-year composite images on monthly time scales

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Journal of Integrative Agriculture 2024年第4期23卷 1393-1408页

作者： Jie Song Dongsheng Yu Siwei Wang Yanhe Zhao Xin Wang Lixia Ma Jiangang Li state Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Agricultural and Rural bureau of Luanping County Luanping 068250China Chinese Academy of Sciences University Beijing 100049China

Rapid and accurate acquisition of soil organic matter(SOM)information in cultivated land is important for sustainable agricultural development and carbon balance *** study proposed a novel approach to predict SOM with high accuracy using multiyear synthetic remote sensing variables on a monthly *** obtained 12 monthly synthetic Sentinel-2 images covering the study area from 2016 to 2021 through the Google Earth Engine(GEE)platform,and reflectance bands and vegetation indices were extracted from these composite *** the random forest(RF),support vector machine(SVM)and gradient boosting regression tree(GBRT)models were tested to investigate the difference in SOM prediction accuracy under different combinations of monthly synthetic *** showed that firstly,all monthly synthetic spectral bands of Sentinel-2 showed a significant correlation with SOM(P<0.05)for the months of January,March,April,October,and ***,in terms of single-monthly composite variables,the prediction accuracy was relatively poor,with the highest R^(2)value of 0.36 being observed in *** monthly synthetic environmental variables were grouped in accordance with the four quarters of the year,the first quarter and the fourth quarter showed good performance,and any combination of three quarters was similar in estimation *** overall best performance was observed when all monthly synthetic variables were incorporated into the ***,among the three models compared,the RF model was consistently more accurate than the SVM and GBRT models,achieving an R^(2)value of *** for band 12 in December,the importance of the remaining bands did not exhibit significant *** research offers a new attempt to map SOM with high accuracy and fine spatial resolution based on monthly synthetic Sentinel-2 images.

关键词： soil organic matter Sentinel-2 monthly synthetic images machine learning model spatial prediction

Incorporation of source contributions to improve the accuracy of soil heavy metal mapping using small sample sizes at a county scale

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Pedosphere 2024年第1期34卷 170-180页

作者： Jie SONG Xin WANG Dongsheng YU Jiangang LI Yanhe ZHAO Siwei WANG Lixia MA state Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Chinese Academy of Sciences University Beijing 100049China Agricultural and Rural bureau of Luanping County Luanping 068250China

Estimating heavy metal(HM) distribution with high precision is the key to effectively preventing Chinese medicinal plants from being polluted by the native soil. A total of 44 surface soil samples were gathered to detect the concentrations of eight HMs(As, Hg, Cu, Cr, Ni, Zn, Pb, and Cd) in the herb growing area of Luanping County, northeastern Hebei Province, China. An absolute principal component score-multiple linear regression(APCS-MLR) model was used to quantify pollution source contributions to soil HMs. Furthermore, the source contribution rates and environmental data of each sampling point were simultaneously incorporated into a stepwise linear regression model to identify the crucial indicators for predicting soil HM spatial distributions. Results showed that 88% of Cu, 72% of Cr, and 72% of Ni came from natural sources;50% of Zn, 49% of Pb, and 59% of Cd were mainly caused by agricultural activities;and 44% of As and 56% of Hg originated from industrial activities. When three-type(natural, agricultural, and industrial) source contribution rates and environmental data were simultaneously incorporated into the stepwise linear regression model, the fitting accuracy was significantly improved and the model could explain 31%–86% of the total variance in soil HM concentrations. This study introduced three-type source contributions of each sampling point based on APCS-MLR analysis as new covariates to improve soil HM estimation precision, thus providing a new approach for predicting the spatial distribution of HMs using small sample sizes at the county scale.

关键词： absolute principal component score-multiple linear regression Chinese herbal medicine influencing factors spatial distribution stepwise multiple regression

Comparison of fish communities using environmental DNA metabarcoding and capture methods in a plateau Erhai Lake,China

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Journal of Oceanology and Limnology 2024年第5期42卷 1597-1608页

作者： Hong CHEN Wanchao HE Fenge YANG Li LIAO Chengjie YIN Yushun CHEN Longgen GUO state Key Laboratory of Freshwater Ecology and Biotechnology Institute of HydrobiologyChinese Academy of SciencesWuhan 430072China University of Chinese Academy of Sciences Beijing 100049China Dali Monitoring Station of Yunnan Ecology and Environment bureau Dali 671000China

Environmental DNA(eDNA)has been used as an important tool for fish diversity analysis,which can greatly solve the problems in traditional survey ***,little work has been done on the actual monitoring accuracy of *** this study,we analyzed the current status of fish resources in Erhai Lake in Yunnan,SW China,by dividing the lake into three sectors according to habitat differences,and compared the results of eDNA and traditional capture methods to investigate the shortcomings of the current analysis of eDNA results.A total of 27 fish species were detected by eDNA and traditional capture methods,including 20 and 19 fish species,respectively,and additional differences in fish composition between the two *** alpha diversity showed higher fish abundance and lower fish diversity by eDNA method compared to the traditional capture method,demonstrating that eDNA was not superior for use in fish diversity *** community similarity analysis showed that community differences were generally significant for eDNA(P<0.05).RDA analysis indicated that environmental factors did not significantly affect fish communities monitored by the eDNA ***,water temperature,aquatic plants,and water depth had significant(P<0.05)effects on fish communities in the traditional capture method,suggesting that eDNA results are insensitive to the effects of environmental *** results illustrate the effectiveness of eDNA in fish identification and the issues in quantification compared to traditional capture ***,combining eDNA with traditional methods is a more effective method for analyzing eDNA metabarcoding,following which the protocols of both quantitative methods can be designed to explore the regularity of eDNA quantification.

关键词： environmental DNA traditional capture method fish communities habitat differences Erhai Lake