PURPOSES : This study aimed to investigate the factors affecting the severity of traffic crashes caused by personal mobility (PM) devices compared with those involving victims. METHODS : Traffic crashes involving PM devices were used to build a non-parametric statistical model using a classification tree. Based on the results, the factors influencing both at-fault and victim-related crashes caused by PM devices were analyzed. The factors affecting accident severity were also compared. RESULTS : Common factors affecting the severity of traffic crashes involving both perpetrators and victims using PM devices include occurrences at intersections, crosswalks at intersections, single roads, and inside tunnels. Traffic law violations by PM device users (perpetrators) influence the severity of crashes. Meanwhile, factors such as the behavior of perpetrators using other modes of transportation, rear-end collisions, road geometry, and weather conditions affect the severity of crashes where PM device users are the victims. CONCLUSIONS : To reduce the severity of traffic crashes involving PM devices, it is essential to extend the length of physically separated shared paths for cyclists and pedestrians, actively enforce laws to prevent violations by PM device users, and provide systematic and regular educational programs to ensure safe driving practices among PM device users.

본 연구는 대나무 숲에서 당해년도 발생한 신죽의 양과 재적생장에 관계하는 환경인자를 찾기 위하여 수행되었다. 분석에 사용한 표준지는 120개소였으며, 신죽 발생량과 재적생장에 관여하는 환경인자로는 기존 입목죽의 밀도, H/D형상비, 수관밀도, 해발고, 토양형, 국소지형 등 이었다. 그리고 반응변수는 신죽 발생량과 재적생장을 두고, 설명변수는 이들에 영향하는 환경인자를 두어서, 반응변수와 설명변수 간 관계를 수량화 I 방법으로 분석하였다. 신죽의 발생량에 관여하는 인자는 기존 입목죽 밀도, H/D형상비, 해발고, 토양형, 국소지형인 것으로 나타났으며, 이들의 관계는 다중회귀식 형태의 모델로 도출되었다. 이 추정모델의 설명력은 50.4%였으며, 모델의 통계적 유의성은 5% 유의수준에서 인정이 되었다. 그리고 5개 설명변수 중 내부상관을 배제한 편상관계수를 도출한 결과, 계수는 국소지형, 입목죽의 입목밀도, H/D형상비 순으로 나타났다. 수량화분석 에 의한 신죽 재적생장에 관여하는 인자로는 입목죽의 밀도, H/D형상비, 수관밀도, 해발고로 나타났다. 4개 변수를 이용한 신죽 재적 추정모델은 64.3%을 설명력을 가지며, 통계적 유의수준 5%에서 유의성이 인정되었다. 그리고 편상관계수는 H/D형상비, 해발고, 입목죽의 밀도의 순으로 나타났다.

PURPOSES : This study aims to evaluate the vertical displacement caused by differential drying shrinkage in concrete pavements within tunnels under various independent variables using structural analysis. METHODS : The behavior of differential drying shrinkage was assessed based on literature reviews of slab thickness and atmospheric humidity. The equivalent linear temperature difference (ELTD) values were analyzed using regression analysis. A three-dimensional solid element model of a two-lane highway tunnel section with six slabs was created using the ABAQUS finite element program by referring to standard drawings. Dowels and tie bars were placed in accordance with the highway standards of the Korean Highway Corporation. RESULTS : The results of a finite element analysis revealed no significant difference in vertical displacement owing to the type of slab base. However, thicker slabs exhibited a smaller vertical displacement. Additional dowels installed at the shoulder of the driving lane did not significantly inhibit vertical displacement. A narrower joint spacing resulted in a smaller vertical displacement. A comparison with field data from Tunnel A showed that the amount of differential drying shrinkage varied with the relative humidity of the atmosphere during different seasons. CONCLUSIONS : Increasing the slab thickness and reducing the joint spacing can improve driving performance by mitigating differential drying shrinkage during dry winter conditions. Future research will involve the creation of indoor test specimens to further analyze the behavior of differential drying shrinkage under varying conditions of relative humidity, slab base moisture, and wind presence.

This study emphasizes R&D as a management strategy for small and medium-sized manufacturing enterprises (SMEs) to achieve competitive advantage and aims to analyze the impact of innovation resistance, prior knowledge, and technological capability on the intention to adopt R&D. The research targeted 403 decision-makers from SMEs that have not adopted R&D. The analysis revealed the following key findings: As a result, both technical capabilities and prior knowledge had a negative effect on innovation resistance. In addition, technological capabilities and prior knowledge had a positive effect on adoption intention, and innovation resistance had a negative effect on acceptance intention. The indirect effects of technical capabilities and prior knowledge both had a positive impact. In addition, we tested whether dependency on partners and trading organizations that accepted R&D had a moderating effect, but it was not significant. The academic implications of this study provide a detailed analysis of how prior knowledge and technological capability affect innovation resistance in SMEs and verify the intention to adopt R&D. The practical implications suggest a direction for small and medium-sized enterprises to reduce innovation resistance in accepting R&D, and companies need to recognize the suitability of R&D and recognize the importance of technological capabilities and prior knowledge in order to reduce innovation resistance.

이 연구에서는 경기교육종단연구 초등학교 4학년 패널의 7차년도, 9차년도 데이터를 사용하여 일반계 고등학생의 진로성숙도 잠재집단을 유형화하고, 각 잠재집단 간 전이 양상을 확인하며, 전이 양상에 영향 을 미치는 요인을 알아보고자 하였다. 연구 목적에 따라 잠재프로파일분석(Latent Profile Analysis: LPA) 을 실시하여 고등학교 1학년(7차년도), 3학년(9차년도) 시기 진로성숙도 잠재집단을 유형화하고, 잠재전 이분석(Latent Transition Analysis: LTA)을 통해 전이 패턴을 분석하였다. 추가로 로지스틱 회귀분석을 실시하여 전이패턴에 영향을 미치는 변인들을 분석하였다. 분석 결과 일반계 고등학생의 고1 시점(7차)에 서 3개의 잠재 집단(높은 진로성숙, 중간 진로성숙, 낮은 진로성숙)으로, 고3 시점(9차)에서 3개의 잠재 집단(높은 진로성숙, 중간 진로성숙, 낮은 진로성숙)으로 분류되었다. 두 시점의 잠재집단 간 전이확률 분 석 결과, 모든 잠재집단에서 절반가량의 학생들이 다른 잠재집단으로 전이하여 다양한 영향요인에 따른 진로성숙도 변화 가능성을 확인하였다. 집단 간 전이패턴은 전체 표본을 기준으로 􍾧중간 진로성숙􍾨 집단에 서 􍾧중간 진로성숙􍾨을 유지하는 경우가 31.1%로 가장 많았고, 다음으로 􍾧낮은 진로성숙􍾨 집단에서 􍾧낮은 진 로성숙􍾨을 유지하는 경우가 14.0% 순이었다. 전이 패턴을 􍾧상향􍾨, 􍾧유지􍾨, 􍾧하향􍾨으로 분석했을 때 유지 패턴 (57.5%)이 가장 많았았고 상향(22.5%) 패턴, 하향 패턴(20.0%) 순이었다. 학생의 개인적 특성, 진로활 동 도움 정도는 진로성숙도 잠재 집단 간 상향 및 하향 패턴에 영향을 미치는 것으로 나타났다. 이상의 연 구 결과를 토대로 일반계고 진로교육을 위한 결론 및 시사점을 제시하였다.

목적: 본 연구는 국내 초고령자를 대상으로 삶의 만족도 및 우울과 라이프스타일신( 체활동, 식습관, 참여빈도, 참여다양성) 간의 상관관계를 확인하고, 삶의 만족도와 우울에 영향을 미치는 라이프스타일 요인을 분석 및 확인하고자 하였다. 연구방법: 본 연구의 독립변수는 라이프스타일 요인으로 신체활동, 규칙적 식습관, 참여빈도, 참여다양성이었으 며, 종속변인은 삶의 만족도와 우울이었다. 분석을 위해 SPSS를 이용해 상관관계분석 및 다중회귀분석을 실시하였다. 결과: 다중회귀분석을 통해 삶의 만족도에 영향을 미치는 요인으로는 참여빈도(t = 6.262, p < 0.001)와 규칙적 식습관(t = 4.627, p < 0.001)이 통계적 유의성을 가지는 것으로 확인되었으며, 우울에 영향을 미치는 요인으로는 참여빈도(t = 6.540, p < 0.001)와 규칙적 식습관(t = 4.061, p < 0.001)이 통계적 유의성을 가지는 것으로 확인되었다. 결론: 본 연구를 통하여 국내 초고령자의 삶의 만족도와 우울에 영향을 주는 라이프스타일 요인을 확인하였다. 따라서 본 연구 결과를 토대로 초고령자의 삶의 만족도와 우울 개선을 위해서는 라이프스타일을 기반으로 하는 다면적 중재 프로그램이 필요하다.

본 연구는 코로나19 팬데믹 상황에서 장애인의 우울 진입에 영향을 미 치는 요인에 대하여 시기별 차이를 살펴보고 향후 감염병 확산 시 장애 인의 우울진입(정상상태에서 우울진단으로 이동)을 예방하기 위한 방안을 제시해 보고자 하였다. 이를 위해 한국복지패널조사 15~17차 자료를 결 합하여 생존분석을 실시하였다. 분석결과, 1년 후까지(2020년 기준 2021 년까지)는 여자가 남자보다, 대구·경북, 대전·충남, 강원·충북에 살고 있 는 경우가 서울에 거주하고 있는 경우보다, 사회적지지를 적게 받을수록, 사회적친분관계만족도가 낮을수록 우울진입 가능성이 높았다. 한편 2년 후까지(2020년 기준 2022년까지)는 여자가 남자보다, 강원·충북에 살고 있는 경우가 서울에 거주하고 있는 경우보다, 자아존중감이 낮을수록, 사 회적친분관계만족도가 낮을수록, 미취업자가 취업자보다 우울진입 가능 성이 높았다. 이를 바탕으로 감염병 확산 시 장애인의 우울진입을 예방 하기 위해서는 기간에 따라 차별적인 대안을 마련하고 적용할 필요성 등 이 있음을 제언하였다.

본 연구에서는 토지매수 청구 제도에 의한 국립공원 내 사유지 매수 현황을 분석하여, 토지매수 청구 제도의 유용성과 한계, 정책 시사점을 도출하였다. 토지매수 청구 제도가 도입된 2006년부터 2021년까지 국가가 매수한 사유지 데이터를 활용하여, 토지 소유자의 매수 청구 결정에 영향을 미치는 요인들을 로지스틱 회귀분석을 통해 분석하였다. 분석 결과, 사유지의 지목이 임야이고, 사유지 면적 중 공원자연보존지구 면적이 높으며, 공원 경계까지 거리가 멀고, 단위면적당 공시지가가 낮은 사유지가 매수 청구에 의해 매수될 확률이 높았다. 이 결과는 토지 소유자 관점에서 보면 재산권 행사가 어려운 사유지일수록 매수 청구될 확률이 높다는 뜻이고, 공원 관리자의 관점에서 보면 보전 가치가 높은 사유지가 매수 청구될 확률이 높다는 의미이다. 즉, 토지매수 청구 제도를 활용하여 사유지 매수를 진행해도 보전 가치가 높은 토지를 매수할 수 있어, 높은 자연환경 보전 효과를 기대할 수 있다. 로지스틱 회귀모형은 또한 북한산국립 공원 내 사유지 중 401㎡의 사유지가 향후 매수 청구될 확률이 높을 것으로 예측하였다. 토지매수 청구 제도는 국립공원 내 토지 소유자의 민원 해소에 효과적인 제도임에도 현재 활용도가 매우 낮은데, 본 연구에서는 실증 분석 결과를 바탕으로 제도의 활용도를 높일 수 있는 정책 방안을 제시하였다.

PURPOSES : This study is to analyze factors affecting improper parking behaviors in a perspective of personal mobility users. Detailed purposes are as follows. Firstly, exogenous and endogenous latent variables were set. Secondly, structural equation model were constructed. Hypothesis for the structural equation model were established. Then model’s goodness of fit was analyzed and following the result model was modified. Lastly, factors affecting improper personal mobility parking behavior was found out. METHODS : Based on the literature review, exogenous and endogenous latent variables were set. Correlation between latent variables and their observed variables was defined to build structural equation model. According to the model hypothesis was established. In order to collect data, survey was conducted on personal mobility users. Model’s goodness fit was verified and the model was modified. Lastly in order to find out the factors affecting improper personal mobility parking behavior path analysis was conducted. RESULTS : Based on literature review, based on 6 of latent variables the structural equation model was made. Survey was conducted on 341 participants who has used personal mobility at least once based on Likert 5-point scale. Out of 341 responses 22 responses considered as careless responses were removed. As a result of analysis of structural equation model, it turned out that ‘ease of transfer’ had a positive effect on improper parking of personal mobility meanwhile ‘convenience’ and ‘road condition’ had a negative effect. CONCLUSIONS : It was concluded that the proximity and accessibility to the transfer facility could be important when installing personal mobility parking lot as improper parking behavior of personal mobility users could be affected by ease of transfer to other traffic mode. Also, interval of parking lots, location and its road condition should be considered in order to make it convenient for users to find parking lot and to encourage them to use it more often.

PURPOSES : The purpose of this study is to statistically analyze the meteorological factors that contribute to the formation of road surface icing based on actual cases of icing accidents and provide directions for improving icing evaluation criteria. METHODS : In this study, we collected cases of domestic road icing accidents by searching news articles with the keyword ‘icing collision accidents’. Subsequently, we determined the latitude, longitude, and altitude of accident locations using satellite map service. We applied the Inverse Distance Weighting (IDW) method and temperature lapse rate to estimate meteorological data at each location. Finally, statistical analysis was conducted for temperature, humidity, and precipitation occurrence using probability density functions. RESULTS : As a result, road icing accident data points with identifiable location coordinates were collected. Among these, temperature, humidity, and precipitation occurrence from Automated Weather Stations (AWS) data were selected for analysis. During the process of correcting meteorological factors using the Inverse Distance Weighting (IDW) method, the optimal Weighting Exponent (p) that minimizes the error was determined and applied. The results showed that accidents occurring in the morning indicated the highest accident occurrence rate. The average temperature at the time of the accidents was -1.4°C, with a humidity level of 85.1%. Precipitation was observed at the time of the accident in 19 cases. CONCLUSIONS : Icing on pavement can occur not only under extreme weather conditions but also under typical meteorological conditions. Typically, icing can occur when the relative humidity is above 70%. Accordingly, for future improvements in the evaluation criteria for icing-prone areas by the Ministry of Land, Infrastructure and Transport, it is possible to incorporate the temperature and humidity ranges that generally lead to icing, taking into account climate characteristics.

이 논문은 브라스에서 리듬 그루브의 영향을 끼치는 요소들을 분석하여 연주자와 프로듀서들이 좀 더 다양하고 그루브한 연주를 하는 것에 도움이 되는 것을 목적으로 연구되었다. 연구 방법은 그루브에 영향을 끼칠 수 있는 요소 중에서 브라스에 적용 가능한 음정의 변화, 음길이의 변화, 음역대의 변화, 악센트의 변화, 전체 볼륨의 변화, BPM(빠르기)의 변화, 톤의 변화 총 7개 요소를 각각 변화가 없는 기준 샘플과 변화된 음원 샘플로 만들어 실험군에게 듣게 한 후 리듬 그루브의 변화를 가장 크게 느낀 요소를 선택하는 방식으로 제작 되었다. 연구 결과 리듬 그루브의 변화에 가장 많이 영향을 끼치는 요소 중 유의미한 상위 3개의 결과는 음길이의 변화 (54.5%), 악센트의 변화 (22.8%), BPM의 변화 (13.9%)로 도출됐으며 그 중 음길이의 변화 (54.5%)가 압도적으로 높게 나타났다. 흥미로운 것은 악센트와 빠르기(bpm)의 변화에서 보컬 전공은 각각 15%, 10%로 기악, 작곡전공의 8%, 4%에 비해 리듬 그루브의 변화를 더 느낀 것으로 결과가 도출되었다.

이 논문은 가창에서 리듬 그루브의 영향을 끼치는 요소들을 분석하여 가수와 디렉터 그리고 프 로듀서들이 좀 더 다양하고 그루브한 연주가 가능할 수 있도록 하는 목적을 갖고 연구되었다. 연구 방법은 그루브에 영향을 끼칠 수 있는 요소인 음길이, 악센트, 빠르기, 음정, 전체 음의 크 기, 딕션, 화성, 타이밍 중에서 가창에 적용 가능한 요소인 음역대의 변화, 음정의 변화, BPM(빠 르기)의 변화, 음길이의 변화, 악센트의 변화, 딕션의 변화, 전체 볼륨의 변화 총 7개 요소를 변 화가 없는 기준 샘플과 변화된 음원 샘플로 만들어 실험군에게 듣게 한 후 리듬 그루브의 변화에 가장 크게 영향을 준 요소를 선택하는 설문 방식으로 제작 되었다. 실험은 음악 전공자등의 전문 가 110명이 참여하였으며 전공은 보컬, 기타, 베이스 기타, 건반, 드럼, 프로듀싱(작곡, 미디, 디렉터)으로 나누어 실험을 진행 하였다.연구 결과 가창에서 리듬 그루브의 변화에 가장 많이 영 향을 끼치는 요소 중 유의미한 상위 4개의 결과는 음길이의 변화 (41.8%), BPM의 변화 (25.5%), 악센트의 변화 (19.1%), 딕션의 변화 (8.2%)순으로 나타났다. 흥미로운 것은 보컬과 기악, 작곡의 상위 3개 요소 선택 비율을 비교했을 때 보컬의 음길이와 BPM의 선택 비율이 각각 29.9%와 19%로 기악, 작곡의 13%, 6%에 비해 압도적으로 높은 결과를 확인할 수 있다.

There are analytical methods used for measuring activity when light photons are emitted for scintillating-based analytical application. When this electron returns to the original stable state, it releases its energy in the form of light emission (visible light or ultraviolet light), and this phenomenon is called scintillation. Scintillator is a general term for substances that emit fluorescence when exposed to radiation such as gamma-rays. Radioactivity is all around us and is unavoidable because of the ubiquitous existence of background radiations emitted by different sources. The scintillator contributes to these sensing, and it is expected that the inspection accuracy and limit of detection will be improved and new inspection methods will be developed in the future. Moreover, scintillators are chemical or nanomaterial sensors that can be used to detect the presence of chemical species and elements or monitor physical parameters on the nanoscale. In this study, it includes finding use in scintillating-based analytical sensing applications. A chemical and nanomaterial based sensors are self-contained analytical tools that could provide information about the chemical compositions or elements of their environment, that is, a liquid or even gas condition. Herein, we present an insightful review of previously reported research in the development of high-performance gamma scintillators. The major performance-limiting factors of scintillation are summed up here. Moreover, the 2D material has been discussed in the context of these parameters. It will help in designing a prototype nanomaterial based scintillators for radiation detection of gamma-ray.

PURPOSES : This study investigates the factors affecting extra-long tunnel accidents by integrating data on tunnel geometry, traffic flow, and traffic accidents and derives the underlying implications to mitigate the severity of accidents. METHODS : Two processes centered on three key data points (tunnel geometry, traffic flow, and traffic accidents) were used in this study. The first is to analyze the spatial characteristics of extra-long tunnel traffic accidents and categorize them from multiple perspectives. The other was to investigate the factors affecting extra-long tunnel traffic accidents using the equivalent property-damage-only (EPDO) of individual accidents and the aforementioned data as the dependent and independent variables, respectively, by employing an ordered logistic regression model. RESULTS : Gyeonggi-do, Gyeongsangnam-do, and Gangwon-do are three metropolitan municipalities that have a significant number of extra-long tunnel accidents; Busan and Seoul have the most extra-long tunnel accidents, accounting for 23.2% (422 accidents) and 18.6% (339 accidents) of the 1,821 accidents that occurred from 2007 to 2020, respectively. In addition, approximately 70% of extra-long tunnel traffic accidents occurred along tunnels with lengths of less than 2 km, and Seoul and Busan accounted for over 60% of the top 20 extra-long tunnels with accidents. Most importantly, the Hwangryeong (down) tunnel in Busan experienced the most extra-long tunnel traffic accidents, with 77 accidents occurring during the same period. As a result of the ordered logistic regression modeling with EPDO and multiple independent variables, the significant factors affecting the severity of extra-long tunnel traffic accidents were determined to be road type (freeway, local route, and metropolitan city road), traffic flow (speed), accident time (year, summer, weekend, and afternoon), accident type (rear end), traffic law violations (safe distance violation and center line violation), and offending vehicles (van, sedan, and truck). CONCLUSIONS : Based on these results, the following measures and implications for mitigating the severity of extra-long tunnel traffic accidents must be considered: upgrading the emergency response level of all road types to that of freeways and actively promoting techniques for regulating high-speed vehicles approaching and traversing within extra-long tunnels are necessary. In addition, the emergency response and preparation system should be reinforced, particularly when the damage from extra-long tunnel traffic accidents is more serious, such as during the summer, weekends, and afternoons. Finally, traffic law violations such as safe distance and centerline violations in extra-long tunnels should be prohibited.

This study analyzed the factors affecting the educational effect of safety innovation education for management of public institutions. A survey was conducted on 294 CEOs and executive directors of public institutions (divided into construction sites, workplaces, and research facilities) subject to the safety management rating system to understand the impact of educational participants' characteristics and behavioral intentions after safety innovation education. As a result of statistical analysis, it was found that the executive director had a higher behavioral intention than the CEO, and the education quality, education instructor, and educational environment all had a significant positive (+) effect on the behavioral intention. This study can be used as basic data for further research related to safety innovation education for management of public institutions

The purpose of this research is to better understand what factors influence on households’ waste sorting behavior at source in Mongolia. To accomplish the goal, this study conducted online survey with self-report questionnaire method and the 353 participants’ data were collected through Facebook groups and pages related to house owners’ associations and waste recycling related non-profit organizations. The results show that the underlying factors determining the intention of waste sorting at source are (1) motivational bases such as prior beliefs and social norms; (2) and an ability/knowledge about the waste sorting at source. Furthermore, the intention is crucial predictor of the real behavior of waste sorting at source, but the most important one is an opportunity to do so. The conclusions and the recommendations are provided.

PURPOSES : This study predicts the concentration of suspended road dust (PM10) by analyzing meteorological, traffic, and atmospheric environmental data acquired at various angles, and attains a comprehensive understanding of the influencing factors of suspended road dust. METHODS : Experimental field methods were applied and statistical analyses were conducted. Field experiments were conducted using a vehicle-based measurement of suspended dust (PM10) to measure its concentration at the measurement site while maintaining a constant driving vehicular speed. Statistical analysis demonstrated the effects of the concentration of suspended dust on changes in meteorological and environmental factors and lanes per traffic volume at the time of measurement. Finally, a multiple linear regression model was applied to identify the factors which affected the generation of suspended dust. RESULTS : The analysis of suspended road dust concentrations according to the lanes per traffic volume and environmental factors showed that suspended dust concentrations increased at increasing driving speeds. In addition, the background concentration at the monitoring station was higher at high-wind speeds (>3.0 m/s) than at low-wind speeds (<1.6 m/s), but the suspended dust concentrations were higher at low-wind speeds. During the temperature inversion period from evening to morning, the suspended effects of traffic and meteorological factors were greater than the background concentration at the station. Multiple linear regression analysis showed that excluding yellow-dust days, which are known to affect atmospheric pollution levels, the accuracy of the model improved and resulted in increases in background PM10, vapor pressure, sea-level pressure, visibility, after-rainfall time, and in decreases in insolation and precipitation during low-wind speed conditions. CONCLUSIONS : At low-wind speeds, 5 days after rain, and when the relative humidity was higher than 72%, suspended dust was found to be higher than atmospheric PM10 concentration and may increase at increasing driving speeds and section lane traffic volumes. However, the volume of measured data in this study is limited to determining the patterns of suspended dust, as the silt loading of the operational road or the effects of prominent variables were not considered in this study. However, we identified prominent factors related to road-suspended dust for real-time road-dust predictions.

Zinc injection into the coolant system of nuclear power plants is an effective method for reducing corrosion and improving performance. The effectiveness of this method is influenced by various factors such as zinc concentration and injection rate. This paper provides an overview of the factors affecting the effectiveness of zinc injection in nuclear power plants, with a focus on zinc concentration and injection rate, and discusses various research results on the effects of these factors on corrosion reduction and coolant system performance. Zinc concentration is an important factor affecting the effectiveness of zinc injection. The research results show that gradual increases in zinc concentration are more effective for coolant system stability. However, the concentration should not exceed the recommended levels as high zinc concentrations can have negative effects on the system. Injection rate is also an important factor affecting the effectiveness of this method. The research results show that gradual increases in injection rate are more effective for coolant system stability. However, excessive injection rates can have negative effects on the system such as overload of the zinc injection facility and chemical shocks within the coolant system, and therefore, should be optimized. In conclusion, zinc concentration and injection rate are important factors affecting the effectiveness of zinc injection in nuclear power plants. The optimal concentration and injection rate should be determined based on specific reactor conditions and system requirements, and efforts should be made to maximize corrosion reduction and performance improvement.