Linfen City Research Articles

Study on Vehicle Travel Trajectory Completion based on AHP-Entropy-TOPSIS Method

In this paper, we proposed a vehicle travel trajectory completion algorithm based on license plate recognition data. Firstly, a processing method for redundant license plate data is proposed. Secondly, the abnormal travel trajectory is extracted based on the travel time threshold between adjacent nodes. Then, the alternative trajectory was obtained through the K shortest path algorithm. The combined algorithm of AHP and EWM was used to calculate the weight of multi- objective attribute indexes. The Hierarchical-Entropy-TOPSIS method for determining vehicle travel trajectory was constructed to complete vehicle travel trajectory decision-making. Finally, the reliability of the algorithm is verified by the license plate data of Yicheng County, Linfen City.

A Death Due to Neurobrucellosis - Linfen City, Shanxi Province, China, May 2021.

A Death Due to Neurobrucellosis - Linfen City, Shanxi Province, China, May 2021.

Hydrochemical Characteristics and Formation Causes of Ground Karst Water Systems in the Longzici Spring Catchment

The water of the Longzici Spring catchment is the source of industrial, agricultural, and urban domestic water in Linfen City, Shanxi Province. It is of great significance to identify the sources and influencing factors of karst water resources for their development and utilization, and the protection of the ecological environment. Taking the karst groundwater in the Longzici Spring Area as the research object, systematic sample collection and isotope analysis were carried out. Hydrochemistry methods (Durov diagram, ion ratio system, Gibbs diagram, hydrogen and oxygen isotopes, and sulfur isotopes) were used to analyze the hydrochemical characteristics of groundwater. The hydrogeochemical and environmental isotopic characteristics of Longzici Spring water are revealed. The hydrochemical field of karst groundwater in the Longzici Spring domain has obvious zonation, from the deep buried detention area to the supply area to the runoff and discharge area. The hydrochemical types of karst groundwater detention area are SO4-Ca and SO4-Ca·Mg, with total dissolved solids (TDS) of 960.5-2340 mg·L-1; the supply area is HCO3-Ca·Mg and HCO3·SO4-Ca·Mg, with TDS of 340.5-562 mg·L-1; and the runoff and discharge areas are SO4·HCO3-Ca·Mg·Na, SO4·HCO3-Ca, and SO4·HCO3-Ca·Mg, with TDS of 494.0-1168.5 mg·L-1. The karst groundwater is mainly SO4·HCO3-Ca and SO4·HCO3-Ca·Mg type water. The content range of sulfate ions is 61.6-1503 mg·L-1, with an average of 481.4 mg·L-1. A total of 70.3% of the karst groundwater SO42- samples exceed the standard. The sulfate ions in karst groundwater mainly come from the dissolution of gypsum in the Ordovician aquifer and the oxidation of pyrite in a coal aquifer. The ratio of sulfate ions in the Longzici Spring catchment that come from pyrite oxidation in water is 20.2%. According to the analysis of hydrogen, oxygen and sulfur isotopes, 70% of karst groundwater is polluted by the acid water of coal mines to different degrees. Using the software PHREEQC, it is concluded that the hydrochemical characteristics of the study area are mainly affected by dissolution and dedolomitization, rock salt, and gypsum.

Specific sources of health risks caused by size-resolved PM-bound metals in a typical coal-burning city of northern China during the winter haze event

High particulate matter (PM) pollution frequently occurs in winter over northern China , resulting in threats to human health. To date, there are limited studies to link source apportionments and health risk assessments in the different size-resolved PM samples during high PM events. In this study, size-segregated PM samples were collected in Linfen, a typical coal-burning city, in northern China during a wintertime haze pollution. In addition to water-soluble ions and carbon contents, metallic elements in the different size-segregated PM samples were also determined for health risk assessments by inhalation of PM. During the sampling period, the average concentration of PM10 was 274 ± 57 μg m−3 with a major fraction (73%) of organic material and secondary-related aerosols, and an insignificant portion of trace elements (TEs, ~ 3%). The size distribution showed that As and Se, markers of coal combustion, exhibited a mono-modal distribution with a major peak at 0.4–0.7 μm and the others mostly possessed mono−/bi-modal patterns with a major peak at 3.3–5.8 μm. The cancer risk (CR) resulted from PM10 metals by inhalation was estimated to be 2.91 × 10−5 for children and 7.75 × 10−5 for adults while non-cancer risk (NCR) was 2.10 for children and 0.70 for adults. Chromium (Cr) was the dominant species (~89%) of cancer risk in PM10. Road dust was a major fraction (~65%) to total metals in coarse PM (dp > 3.3 μm) whereas coal combustion was a dominant source (~55%) in submicron (dp < 1.1 μm) PM metals. However, traffic emissions (40%) and coal combustion (36%) were the dominant sources of CR since both emissions contributed major fractions (74%) to Cr, especially in submicron PM which exhibited high deposition efficiency of TEs into respiratory tracts, resulting in high CR in Linfen City.

Comprehensive evaluation of modern agricultural development level in contiguous destitute area of Lvliang Mountain, Shanxi Province

&lt;p class="NOTENormal"&gt;An evaluation model was established using a combination of AHP and multi-objective linear weighted function methods to comprehensively evaluate the development level of modern agriculture in the contiguous poverty-stricken areas of Lvliang Mountain in Shanxi Province. The results show that: (1) As a whole, the contiguous poverty-stricken areas have a low degree of agricultural modernization and are in the initial stage of development. The degree of modernization of agricultural production conditions, agricultural production results, and farmers’ living standards is gradually decreasing; at the municipal level, the degree of agricultural modernization in the three cities is the same. Not high, the order is Xinzhou City &amp;gt; Linfen City &amp;gt; Lvliang City; at the county level, the degree of agricultural modernization varies greatly. The counties in Xinzhou City are in the high-level sub-stage of the initial stage, and the counties in Lvliang City are in the low-level sub-stage of the initial stage. The overall degree of agricultural modernization in counties shows a spatial pattern of low in the middle and high in the north and south; (2) The contributions of agricultural production conditions, production results and farmers’ living standards to modern agriculture are 16.4%, 29.7% and 53.9% respectively. The low level of agricultural electrification and mechanization and backward production conditions are bottlenecks in the development of modern agriculture. The backward agricultural production conditions lead to inefficient production results, low disposable income of farmers, and low living standards of farmers, which are the root causes of the slow development of modern agriculture in the region.&lt;/p&gt;

Research on Dynamic Forecast of Flowering Period Based on Multivariable LSTM and Ensemble Learning Classification Task

The flowering forecast provides recommendations for orchard cleaning, pest control, field management and fertilization, which can help increase tree vigor and resistance. Flowering forecast is not only an important part of the construction of agro-meteorological index system, but also an important part of the meteorological service system. In this paper, by analyzing local meteorological data and phenological data of “Red Fuji” apples in Fen County, Linfen City, Shanxi Province, with the help of machine learning and neural networks, we proposed a method based on the combination of time series forecasting and classification forecasting is proposed to complete the dynamic forecasting model of local flowering in Ji County. Then, we evaluated the effectiveness of the model based on the number of error days and the number of days in advance. The implementation shows that the proposed multivariable LSTM network has a good effect on the prediction of meteorological factors. The model loss is less than 0.2. In the two-category task of flowering judgment, the idea of combining strategies in ensemble learning improves the effect of flowering judgment, and its AUC value increases from 0.81 and 0.80 of single model RF and AdaBoost to 0.82. The proposed model has high applicability and accuracy for flowering forecast. At the same time, the model solves the problem of rounding decimals in the prediction of flowering dates by the regression method.

Supporting problems at an island mining face in shanxi, China. Case study based on field observation

Abstract In this paper, field observation is conducted in Fujiaao Coal Mine, Linfen city in Shanxi province, China, which is unique because of its island-typed mining layout. Firstly, geology, layout of the coal cutting face, supporting pattern are presented and details are also provided. Then the problems are discussed and analyzed based on existing bolting theories. It finds out the length of the cable bolt is too long, which requires long time to drill boreholes, whilst the effectiveness is limited due to the illogical combination between cable bolt function zone and rock bolt function zone. Also, the face place allocated to rock bolt is very likely to cause line contact between its edge and steel belt, thus the bearing force is tremendously weakened and solely determined by strength of belt. Furthermore, field observation proves the low active supporting effects to roof, thus leading obvious roof sink even without the disturbance of mining activity. Eventually, some solutions are proposed with the intention to improve the situation based on the economic and technical considerations, including bolting in humidity environment, rational cable bolt length, wise choice of face plate, and ways to increase pretension force. The viewpoints and comments of this study can be referred by practitioners in coal mines sharing same difficulties.

Relationship between Meteorological Factors and Diffusion of Atmospheric Pollutants

In order to explore the influence of meteorological conditions on the diffusion of atmospheric pollutants, this study takes Linfen City, a key national air pollution city, as an example, and uses the daily air pollution concentration data, wind direction and wind speed observation data and the ground weather observation data from 2016 to 2017 in this area to analyze the distribution characteristic and variation law of the main atmospheric pollutants (PM10, PM2.5, SO2, CO, O3, NO2). The influence of local meteorological conditions and general atmospheric circulation on the diffusion of atmospheric pollutants is discussed. The results show that the air pollution in Linfen City has obvious seasonal difference. The air quality is better in summer and autumn, and the main pollution is concentrated in heating period. The effect of meteorological factors on air quality index (AQI) is significantly different at different periods. In the non-heating period, there is a good negative correlation between precipitation and PM2.5, PM10, SO2 and NO2; the relative humidity, air temperature and cloud cover are negatively correlated with most pollution factors. In the heating period, the air temperature, relative humidity and cloud cover are positively correlated with most pollution factors. The wind speed is less correlated with AQI in the non-heating period, and only has a good negative correlation with NO2. In the heating period, the wind speed is negatively correlated with pollution factors except O3.

TEACHING MODEL DESIGN OF ENZYME ENGINEERING COURSE BASED ON MIND MAPPING.

18Dec 2018 TEACHING MODEL DESIGN OF ENZYME ENGINEERING COURSE BASED ON MIND MAPPING. Liang Li-qin , Yang Rui , Xue Rui-ting and Yang Ting-ting. College of Life Sciences, Shanxi Normal University, No. 1 Gongyuan Street, Linfen City, Shanxi Province.

A Study of the TPR Method in the Teaching of English to Primary School Students

In order to use TPR teaching method effectively in primary school English class, this paper uses the experiment method, two groups of students from Experimental primary school in Hongdong County of Linfen City are selected as the experimental subjects. In the process of the experiment, one group of students are taught by the TPR teaching method, another group of students are taught by the common traditional teaching method. The data from this experiment shows that the TPR teaching method is a more effective method. On the basis of the above research, this paper comes to a conclusion that the use of TPR teaching method will greatly enhance the students’ learning efficiency. Through the research of this paper, the author hopes to deepen teachers’ understanding of the TPR teaching method, the teacher can use the TPR method to carry on the teaching in the class and help students to learn effectively.

Case study on road landscape restoration of the underground commercial street

In recent years, with the intensive commercial activities in cities, the underground commercial area has developed promptly. The underground commercial street, with the intention of solving the urban field, results in negative affects to the urban landscapes. For example, the underground commercial area on Jiefang road, Linfen City is used in this paper. The project overview and present situation of its landscape, principal of its restoration, design and cost estimation, are analyzed in detail. As a whole, the paper summarizes the significance of underground landscape restoration, in a commercial area, and any issues or problems that one should be attentive to in the process of development.

临汾市水生态足迹动态分析

临汾市水生态足迹动态分析

Maxwell-equations Based on Mining Transient Electromagnetic Method for Coal Mine-Disaster water Detection

Water-bearing geological structure is a serious threat to coalmine safety. This research focuses on detecting water-bearing geological structure by transient electromagnetic method. First, we introduce the principle of mining transient electromagnetic method, and then explain the technique of Finite Different Time Domain using in the transient electromagnetic method. Based on Maxwell equations, we derive the difference equations of electromagnetic field and study the responses of water-bearing geological structure using FDTD. Moreover, we establish the relationship between receiving electromagnetic field and geological information. The typical coal geological model of goaf-water is chosen to do the numerical simulation. Besides, we verify the availability of the method by numerical simulation using coal geological model. Finally, we use the method in the coalmine which is located in Linfen city in Shanxi province in China, and the detecting result is verified by drilling.DOI: http://dx.doi.org/10.5755/j01.eie.23.3.18326

Identification of Heavy Metal Pollution Derived From Traffic in Roadside Soil Using Magnetic Susceptibility.

The study integrates surface and vertical distribution of magnetic susceptibility and heavy metal contents (Pb, Cu, Zn and Fe) to characterize the signature of vehicle pollutants in roadside soils at Linfen city, China. Sites with reforestation and without vegetation cover were investigated. The results showed that magnetic susceptibility and heavy metal contents were higher at the roadside without trees than in the reforest belt. The variations of magnetic susceptibility and heavy metal contents decreased both with distance and with depth. The maximum value was observed at 5-10m away from the roadside edge. The vertical distribution in soil revealed accumulation of pollutants in 0-5cm topsoils. The average contents were higher than the background values and in the order Fe (107.21gkg-1), Zn (99.72mgkg-1), Pb (90.99mgkg-1), Cu (36.14mgkg-1). Coarse multi domain grains were identified as the dominating magnetic particles. Multivariate statistical and SEM/EDX analyses suggested that the heavy metals derived from traffic sources. Trees act as efficient receptors and green barrier, which can reduce vehicle derived pollution.

Research on the Relationship Between Urbanization and the Level of Economic Development Based on Co-integration Test in Linfen City

This paper mainly uses the data of urbanization rate in urban area obtained 1990-2014 and the sequential data of per capita GDP of Linfen City in Shanxi Province. And the result shows that there exists a long-term equilibrium stage between the urbanization level and economic growth through the way of unit root test and Johansen cointegration test. And then Granger causality test has been conducted on this basis and it shows that the urbanization development greatly affects on the economic growth while the effect is not obvious in return. This conclusion maybe due to the unreasonable industrial structure in Linfen city, thus it is necessary for Linfen to optimize the industrial structure further and accelerate the development of tertiary industry.

Faxian’s Biography and His Contributions to Asian Buddhist Culture: Latest Textual Analysis

&lt;p class="1Body"&gt;To provide more updated and accurate information on Faxian, an eminent monk of ancient China’s Jin Dynasty (266–421 CE), the present study conducts a literature survey to analyze his native region. It is found that Faxian was actually born in modern Linfen City in Shanxi Province, not Xiangyuan County as previously described. In his childhood, he became a novice monk and was compassionate toward the poor. To search out and collect Buddhist scriptures, Faxian undertook a westward pilgrimage to India from 399 to 412 CE. During this hard and dangerous pilgrimage, Faxian burst into tears three times. Finally, he succeeded in bringing a trove of Buddhist scriptures back to China from India. For the rest of his life, along with Buddhabhadra, he was engaged in translating Buddhist scriptures into Chinese. These translated scriptures were highly beneficial for Chinese Buddhism, especially the precepts (sila-vinaya) and Mahāyāna works. Faxian himself is demonstrated to have been a Mahāyāna Buddhist follower. His pilgrimage experience was recorded in his work “Record of Buddhist Kingdoms”, which provides important information about ancient Asian kingdoms. Faxian’s story promoted Asian tourism relevant to Buddhist culture. As a pioneer in the 4&lt;sup&gt;th&lt;/sup&gt; century, Faxian started a new era of westbound pilgrimage to ancient India, including the similar pilgrimages of Xuanzang and Yijing in the 7&lt;sup&gt;th&lt;/sup&gt; century. Even today, Faxian continues to strengthen friendship among Asian countries.&lt;/p&gt;

Magnetic response to air pollution recorded by soil and dust-loaded leaves in a changing industrial environment

Linfen city is one of the World's most polluted cities due to uncontrolled industrial activities of coal combustion releasing huge amounts of heavy metals (HMs) and polycyclic aromatic hydrocarbons (PAHs) into the atmosphere. We used soil and leaves as receptors for atmospheric particulate matter to test the efficiency of magnetic approach for assessing and discriminating past and present pollution. The results indicate that strong magnetic particles in topsoil and leaf samples are mainly low-coercivity magnetite, occurring in a larger grain-size range than in background soil, which is helpful to separate anthropogenic and natural sources. Topsoil magnetic signals reflect pollutants, which accumulated over the last decades. Differences in the vertical distribution of magnetic properties between undisturbed and disturbed (cultivated) soil profiles show that the plowing depth is the most important factor for migration of pollutants in cultivated soils. Magnetic susceptibility (MS) values of leaf samples reflect the present state of pollution and can even trace seasonal changes. Spatial maps of MS identify differences of the past and present environmental conditions caused by the shutdown of industrial sites within the last decade. Correlation coefficients between analyzed HM contents (Fe, Cr, Ni, Cu, Pb) and MS values are significantly positive in leaf samples, and still moderate in topsoil samples. Our results demonstrate the practical and economical value of magnetic techniques for pollution assessment, also for the studied case with a complex pollution history, a relatively high magnetic background and disturbing land use.

Application of an Endophytic Bacillus amyloliquefaciens CC09 in Field Control of Rehmannia glutinosa Root Rots Disease

Aims: To investigates whether a new bio control agent Bacillus amyloliquefaciens CC09 can be used to manage the root rot disease of Rehmannia glutinosa resulting from continuous cropping. Study Design: Completely randomized block experiments with 3 replicates were conducted in the field where R. glutinosa had been grown for one-year. Place and Duration of Study: Yangyue village, Linfen city, Shanxi province, from April 11

Integrating Remote Sensing and GIS for Prediction of Winter Wheat (Triticum aestivum) Protein Contents in Linfen (Shanxi), China

In this study, relationships between normalized difference vegetation index (NDVI) and plant (winter wheat) nitrogen content (PNC) and between PNC and grain protein content (GPC) were investigated using multi-temporal moderate-resolution imaging spectroradiometer (MODIS) data at the different stages of winter wheat in Linfen (Shanxi, P. R. China). The anticipating model for GPC of winter wheat was also established by the approach of NDVI at the different stages of winter wheat. The results showed that the spectrum models of PNC passed F test. The NDVI4.14 regression effect of PNC model of irrigated winter wheat was the best, and that in dry land was NDVI4.30. The PNC of irrigated and dry land winter wheat were significantly (P<0.01) and positively correlated to GPC. Both of protein spectral anticipating model of irrigated and dry land winter wheat passed a significance test (P<0.01). Multiple anticipating models (MAM) were established by NDVI from two periods of irrigated and dry land winter wheat and PNC to link GPC anticipating model. The coefficient of determination R2 (R) of MAM was greater than that of the other two single-factor models. The relative root mean square error (RRMSE) and relative error (RE) of MAM were lower than those of the other two single-factor models. Therefore, test effects of multiple proteins anticipating model were better than those of single-factor models. The application of multiple anticipating models for predication of protein content (PC) of irrigated and dry land winter wheat was more accurate and reliable. The regionalization analysis of GPC was performed using inverse distance weighted function of GIS, which is likely to provide the scientific basis for the reasonable winter wheat planting in Linfen city, China.

Magnetic properties of tree leaves and their significance in atmospheric particle pollution in Linfen City, China

Fifty-one tree leaves were sampled in the industrial area, residential area, and Fenhe River ecological zone, for the purpose of a magnetic study on atmospheric pollution in Linfen City, Shanxi Province, China. Measurements of mass-specific magnetic susceptibility (γ) show a significant variation range (from 11.6 × 10−8 m3/kg to 129.7 × 10−8 m3/kg). Overall values of magnetic susceptibility decline in the following sequence: industrial area > residential area > Fenhe River ecological zone. The relatively elevated concentration-related magnetic parameters (saturation isothermal remanent magnetization, anhysteretic remanent magnetization and magnetic susceptibility) appear in the industrial area, with their highest values in the vicinity of Linfen Steel Mill. Magnetic particles are dominated by multidomain, magnetite-like minerals. Magnetic particle concentration and grain size both decrease with the increasing distance from industrial area, indicating the industrial area, especially Linfen Steel Mill, is the main source of atmospheric particle pollution. Residential area and Fenhe River ecological zone are also affected by industrial emission to a certain extent. The results of this study indicate that magnetic measurements of tree leaves are practicable for monitoring and determination of atmospheric pollution in Linfen City.