MAPAN最新文献 - Book学术

A Stacked GRU Approach to Enhance Predictive Accuracy of Global Horizontal Irradiance 一种提高全球水平辐照度预测精度的叠加GRU方法

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-03-18 DOI: 10.1007/s12647-026-00897-3

Girijapati Sharma, Subhash Chandra, Arvind Kumar Yadav

{"title":"A Stacked GRU Approach to Enhance Predictive Accuracy of Global Horizontal Irradiance","authors":"Girijapati Sharma, Subhash Chandra, Arvind Kumar Yadav","doi":"10.1007/s12647-026-00897-3","DOIUrl":"10.1007/s12647-026-00897-3","url":null,"abstract":"<div><p>The recent outbreaks solar energy generation, some challenges have popped up owing to solar intermittent behaviour, require an accurate estimation of the worldwide solar radiation. In this reference AI-ML algorithms are gaining popularity and effectiveness in calculating solar radiation. Since collinearity might cause troubles such as unstable parameter estimation, inaccurate models, and poor predictive performance. However, multiple linearity tends to become a major issue in linear models. To address these issues, the spearman rank Correlation (SRC) and variance inflation factor (VIF) was introduced, and a new variable selection method called Spearman Rank Correlation-Variance Inflation Factor (SRC-VIF) was proposed, in addition to this article presents a better stack ensemble with GRU (SE-GRU) regressor include the machine learning models like, Random Forest Regressor (RF), Support Vector Regressor (SVR), Multilayer perceptron Regressor (MLP), K-Nearest Neighbor Regressor <b>(</b>KNN), Light Gradient Boost Machine (LGMs), CatBoost Regressor (CB), and Extreme Gradient Boost (XGBost), while the ensemble stacking with GRU regressor is used as meta learners. The ensemble technique includes stacking, blending, bagging and boosting methodology. In this paper use above all technique for the prediction of solar radiation of Agra (India) location. With the help of this technique we precise the result and able to minimise the errors in predicted value such as Mean Absolute Error (MAE) 15–56%, Root Mean Squared error (RMSE) 22–60% and R squared error (R2) 26–45%. Ultimately, we can say that the ensemble technique helps to decrease prediction errors and improves planning for intermittent solar resources.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"253 - 283"},"PeriodicalIF":1.3,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PM1 in the Atmosphere: Mapping Global Trends, Characterization, Source Attribution, and Health Consequences 大气中的PM1：绘制全球趋势、特征、来源归属和健康后果

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-03-16 DOI: 10.1007/s12647-026-00900-x

Suryakant Manikpuri, Manas Kanti Deb, Shamsh Pervez, Shubhra Sinha, Rajiv Nayan, Indrapal Karbhal

{"title":"PM1 in the Atmosphere: Mapping Global Trends, Characterization, Source Attribution, and Health Consequences","authors":"Suryakant Manikpuri, Manas Kanti Deb, Shamsh Pervez, Shubhra Sinha, Rajiv Nayan, Indrapal Karbhal","doi":"10.1007/s12647-026-00900-x","DOIUrl":"10.1007/s12647-026-00900-x","url":null,"abstract":"<div><p>This systematic review integrates data from 56 studies from the period 2000–2024 to analyze the concentration, sources, and health effects of ambient PM<sub>1</sub> in India and other parts of the world. The mean concentration of PM<sub>1</sub>, as determined using filter-based methodologies in different areas of India, was 102.84 ± 51.63 μg m<sup>−3</sup>, varying between 30.03 and 231 μg m<sup>−3</sup>. In studies that addressed source apportionment in 14 Asian region, secondary aerosol formation was identified as the primary contributor of PM<sub>1</sub>, followed by industrial emissions and biomass burning. The review additionally addresses the analytical and sampling methods employed, for mass measurements of PM<sub>1</sub> as well as the chemical profiling. Notably, a clear gap exists regarding direct, on-site monitoring efforts to develop accurate chemical source profiles for PM<sub>1</sub>. Many studies lack thorough chemical characterization, especially concerning carbonaceous matter, ions, and elements, which are crucial for precise source identification. Additionally, research on the long-term atmospheric and health effects of PM<sub>1</sub> exposure remains limited, with chronic health impacts receiving insufficient attention. These gaps highlight the urgent need for more comprehensive and targeted research to advance understanding of PM<sub>1</sub> pollution and its broader environmental and public health implications.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"361 - 396"},"PeriodicalIF":1.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metrological Foundations for Soil Analysis: A Global Review of Certified Reference Materials for Agricultural Laboratories 土壤分析的计量基础：农业实验室认证标准物质的全球综述

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-03-16 DOI: 10.1007/s12647-026-00894-6

Aziz Soulaimani, Reda Oulfakir, Latifa Hajji, Said Gmouh

{"title":"Metrological Foundations for Soil Analysis: A Global Review of Certified Reference Materials for Agricultural Laboratories","authors":"Aziz Soulaimani, Reda Oulfakir, Latifa Hajji, Said Gmouh","doi":"10.1007/s12647-026-00894-6","DOIUrl":"10.1007/s12647-026-00894-6","url":null,"abstract":"<div><p>Certified Reference Materials (CRMs) constitute the metrological foundation for reliable and comparable soil measurements in agricultural laboratories worldwide. They provide SI-traceable benchmarks for instrument calibration, method validation, and quality control in the determination of key agronomic parameters, including texture, pH, electrical conductivity, organic carbon, macro- and micronutrients, and potentially toxic elements.</p><p>This review critically examines the international metrological framework governing soil CRMs, with emphasis on ISO/IEC 17025, ISO 17034, and the emerging ISO 33400 series (notably ISO 33405 and ISO 33401), which collectively define requirements for sampling, pretreatment, homogenization, homogeneity and stability assessment, characterization, value assignment, and uncertainty evaluation. It summarises global advances in CRM production and evaluates the current availability of soil matrix CRMs from major producers such as NIST, BAM, LGC, and the JRC.</p><p>Despite a growing market, the portfolio of soil CRMs remains limited relative to the diversity of pedological and agro-climatic conditions. High acquisition costs, logistical constraints, and limited regional production capacity particularly constrain laboratories in emerging economies, hindering method validation, proficiency testing, accreditation, and interlaboratory comparability.</p><p>The review identifies critical gaps in matrix-specific soil CRMs that should be addressed as a priority and outlines the investment, infrastructure development, and international collaboration required to strengthen regional production capabilities and metrological traceability chains. Addressing these gaps is essential to enhance measurement confidence, support ISO/IEC 17025 accreditation, and underpin evidence-based agricultural management, food security, and environmental regulation.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"341 - 359"},"PeriodicalIF":1.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Evaluation of a Digital Density Meter Method for High-Precision Hydrometer Calibration 高精度比重计标定数字密度计方法的性能评价

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-03-09 DOI: 10.1007/s12647-026-00893-7

Mohamed Hamdy, Alaaeldin A. Eltawil, B. M. Sayed

{"title":"Performance Evaluation of a Digital Density Meter Method for High-Precision Hydrometer Calibration","authors":"Mohamed Hamdy, Alaaeldin A. Eltawil, B. M. Sayed","doi":"10.1007/s12647-026-00893-7","DOIUrl":"10.1007/s12647-026-00893-7","url":null,"abstract":"<div><p>Accurate calibration of density hydrometers is critical for many applications. This study evaluates an alternative calibration method using a Digital Density Meter (DDM) and compares its performance against the established hydrostatic weighing technique (Cuckow's method). Full description of the proceeding methods is described. Experiments were conducted using three reference liquids at controlled temperatures (20 °C, 23 °C, and 25 °C) to calibrate different ranges of hydrometers: three with high resolution (0.0001 g/cm<sup>3</sup>) and three with lower resolution (0.001 g/cm<sup>3</sup>). The influence of the DDM's precision was also analyzed. According to the calibration results, the errors obtained using the DDM method and the hydrostatic weighing technique range from 31 to 95 ppm. The expanded uncertainty of the DDM method is approximately twice that of the hydrostatic weighing technique. Three statistical methods are used to evaluate the performance for each method (weighted mean reference value and Chi-squared consistency test and degree of equivalence test. For the high-resolution hydrometers, calibration compared with a 6-digit DDM yielded a standard uncertainty of approximately 122 ppm. This uncertainty is projected to increase only slightly to 126 ppm and 205 ppm for 5-digit and 4-digit DDMs, respectively. For the lower-resolution hydrometers (3-digit), the hydrometer's resolution became the dominant source of uncertainty, resulting in a standard uncertainty of approximately 353 ppm, with negligible impact from the DDM's precision. The results validate the DDM-based method as a robust alternative to hydrostatic weighing and provide a clear framework for estimating the achievable uncertainty for hydrometers of different resolutions.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"313 - 325"},"PeriodicalIF":1.3,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Clinical Investigation and Statistical Analysis Improve the Metrological Reliability of Forehead Infrared Radiation Thermometers 临床调查与统计分析提高前额红外辐射体温计计量可靠性

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-03-03 DOI: 10.1007/s12647-026-00891-9

Pedro Diniz, Rafael Farias, Klaus Quelhas, Rodrigo Costa-Felix

{"title":"Clinical Investigation and Statistical Analysis Improve the Metrological Reliability of Forehead Infrared Radiation Thermometers","authors":"Pedro Diniz, Rafael Farias, Klaus Quelhas, Rodrigo Costa-Felix","doi":"10.1007/s12647-026-00891-9","DOIUrl":"10.1007/s12647-026-00891-9","url":null,"abstract":"<div><p>Forehead Infrared Radiation Thermometers (FIRTs) are widely employed in healthcare settings and access control due to their practicality. However, concerns persist regarding their metrological reliability, particularly in clinical applications. These devices operate in two modes: object and adjusted (body temperature). However, current evaluation methodologies lack standardised procedures and statistical criteria for assessing clinical performance. This study aimed to develop a clinical investigation protocol and establish robust statistical criteria for evaluating the metrological performance of FIRTs in adjusted mode. Eighteen FIRTs from ten different models were assessed through clinical measurements conducted on 106 emergency room patients. Simultaneously, a digital contact thermometer was used to obtain reference body temperatures. The analysis included four statistical approaches: clinical tendency analysis (mean error and standard deviation), outcome agreement tests (paired t-test and Wilcoxon signed-rank test), Bland–Altman analysis, and effect size assessment. Only six devices (33%) met the performance criteria across all volunteers. Among febrile patients (≥ 37.5 °C), seven thermometers performed satisfactorily, while only one device met the requirements for non-febrile patients (< 37.5 °C). The proposed clinical methodology proved effective for performance assessment, and the combination of statistical tools facilitated the establishment of evaluation criteria. Among these, the effect size analysis provided the most comprehensive insights. The significant disparity in results between febrile and non-febrile groups suggests a potential influence of correction algorithms embedded in the devices.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"211 - 227"},"PeriodicalIF":1.3,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12647-026-00891-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative Analysis of Factors Influencing PM2.5 Using Sentinel-5P and CPCB Data by Machine Learning Techniques: Case Study of Gurugram City (2019–2023) 基于机器学习技术的Sentinel-5P与CPCB数据PM2.5影响因素对比分析——以古鲁格拉姆市为例（2019-2023年）

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-03-02 DOI: 10.1007/s12647-026-00907-4

Shilpa Mahajan, Pankaj Rathi, Duiena Rai, Tripti Sharma, Avi Aneja, Avni Jettley

{"title":"Comparative Analysis of Factors Influencing PM2.5 Using Sentinel-5P and CPCB Data by Machine Learning Techniques: Case Study of Gurugram City (2019–2023)","authors":"Shilpa Mahajan, Pankaj Rathi, Duiena Rai, Tripti Sharma, Avi Aneja, Avni Jettley","doi":"10.1007/s12647-026-00907-4","DOIUrl":"10.1007/s12647-026-00907-4","url":null,"abstract":"<div><p>PM<sub>2.5</sub> particulates are major contributing factors that pose a serious threat to public health, particularly in urban cities like Gurugram, India. This study investigates the spatiotemporal variations of PM<sub>2.5</sub> concentration in Gurugram from 2019 to 2023 by integrating satellite and surface-level data. Meteorological and ground-level air quality data were collected through the Central Pollution Control Board, and spatial patterns of pollution were collected using satellite data from Google Earth Engine. Supervised Machine learning algorithms were then used to predict PM<sub>2.5</sub> concentrations and identify the key parameters influencing pollution. Among the evaluated models, the Random Forest algorithm demonstrated superior performance, achieving a coefficient of determination (R<sup>2</sup>) of 0.912, a mean absolute error of 2.946, a root mean square error of 5.013, and a mean square error of 25.13 Analysis has revealed that ground-based predictors exhibited stronger linear association with PM<sub>2.5</sub>, whereas satellite-derived predictors captured broader regional trends. Strict tests for accuracy and precision in satellite-retrieved data were performed using comparative studies with ground measurement datasets. Temporal analysis indicated strong seasonal variation with the elevated PM<sub>2.5</sub> recorded during the winter months, whereas spatial analysis using satellite data revealed that the densely populated areas and transportation-dominated zones have high levels of pollutants. The findings demonstrate that the combination of satellite-based atmospheric indicators with ground measurements increases the spatiotemporal characterisations of air quality in cities.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"285 - 300"},"PeriodicalIF":1.3,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental Validation of Interpolation and Function Approximation Techniques for Error Compensation in Angle Measurement Systems 角度测量系统误差补偿的插值和函数逼近技术的实验验证

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-02-24 DOI: 10.1007/s12647-026-00901-w

Donatas Gurauskis, Albinas Kasparaitis

{"title":"Experimental Validation of Interpolation and Function Approximation Techniques for Error Compensation in Angle Measurement Systems","authors":"Donatas Gurauskis, Albinas Kasparaitis","doi":"10.1007/s12647-026-00901-w","DOIUrl":"10.1007/s12647-026-00901-w","url":null,"abstract":"<div><p>Industrial rotary angle measurement systems often employ mathematical modelling techniques for error compensation. In practice, choosing the most suitable method for systematic error modelling is important, because it directly influences overall accuracy and reliability of the system. However, comparative evaluations of different approaches remain limited. This study systematically evaluates six angular error compensation methods using a comprehensive, uncertainty-aware assessment framework. Angular deviation data was obtained from repeated cross-calibration measurements of an industrial rotary angle measurement system using a 36-sided polygon and an autocollimator. Three interpolation methods (linear, nearest-neighbor, cubic spline) and three approximation methods (polynomial, Fourier series, sum-of-sines) were evaluated using validation RMSE, information criteria, cross-validation, bootstrap robustness, Monte Carlo uncertainty propagation, and spectral analysis. Results show that linear interpolation achieves the lowest validation RMSE (0.648″) with good robustness and implementation simplicity. Among approximation methods, a fourth-degree polynomial provides the best robustness, while a three-term sum-of-sines model achieves comparable accuracy to a four-harmonic Fourier series using 56% fewer parameters and superior data robustness. Moreover, the study reveals a critical overfitting paradox: models exhibiting excellent noise smoothing can be catastrophically sensitive to calibration data selection. These findings demonstrate that bootstrap and Monte Carlo analyses quantify complementary robustness properties and are essential for reliable model selection. A comprehensive assessment framework is therefore required to ensure stable and physically meaningful error compensation in precision measurement systems.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"229 - 252"},"PeriodicalIF":1.3,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online Calibration of Transformer Angle Difference in Power Metering Energy Meters Based on FFT Algorithm and Phase Compensation Technology 基于FFT算法和相位补偿技术的电力计量电能表变压器角差在线标定

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-02-19 DOI: 10.1007/s12647-025-00879-x

Xian Xue, Jiwei Zhang, Jiaying Chen, Zhenzhao Yu, Huiqun Lin, Zuquan Zhuo

{"title":"Online Calibration of Transformer Angle Difference in Power Metering Energy Meters Based on FFT Algorithm and Phase Compensation Technology","authors":"Xian Xue, Jiwei Zhang, Jiaying Chen, Zhenzhao Yu, Huiqun Lin, Zuquan Zhuo","doi":"10.1007/s12647-025-00879-x","DOIUrl":"10.1007/s12647-025-00879-x","url":null,"abstract":"<div><p>In power supply metering systems, phase angle errors in electricity meter transformers cause measurement inaccuracies. Traditional calibration methods rely on offline testing and fixed parameter compensation, making them ill-suited for grid frequency fluctuations and dynamic operating conditions, resulting in insufficient calibration precision. To address this, this study proposes an online calibration method for phase angle errors in power supply metering electricity meter transformers based on FFT algorithms and phase compensation technology. High-precision phase extraction is achieved through a three-spectrum-line interpolation fast Fourier transform (FFT) algorithm, effectively suppressing spectral leakage and asynchronous sampling errors. This significantly enhances the robustness of angular difference detection against frequency fluctuations (50 Hz–51.5 Hz) and noise interference (up to 0.35% intensity). Further, a dynamically adjustable RC phase-shifting circuit implements online phase compensation. This circuit adapts parameters based on real-time phase error calculations, enabling continuous phase adjustment within 0–180°, overcoming the poor adaptability of traditional fixed-parameter compensation circuits. This achieves online correction of transformer phase error in utility meters. Experimental data demonstrate: under 50 Hz–51.5 Hz frequency fluctuations and 0.35% noise intensity, this method exhibits minimal angular error detection deviation. Post-correction angular error decreases from 7.1° to 0.15°, meeting the ≤ 0.17° accuracy requirement and effectively countering frequency fluctuations and noise interference.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"301 - 312"},"PeriodicalIF":1.3,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimation of Radiation Exposure from Using Waste Rock from Uranium Mines as Construction Material in Dwellings 铀矿废石作为住宅建筑材料的辐射暴露评估

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-02-11 DOI: 10.1007/s12647-025-00884-0

Abhigyan, Gopal P. Verma, Ranjan Prakash, V. Kumaraswamy, B. Naresh, Pallavi Singhal, A. C. Patra

{"title":"Estimation of Radiation Exposure from Using Waste Rock from Uranium Mines as Construction Material in Dwellings","authors":"Abhigyan, Gopal P. Verma, Ranjan Prakash, V. Kumaraswamy, B. Naresh, Pallavi Singhal, A. C. Patra","doi":"10.1007/s12647-025-00884-0","DOIUrl":"10.1007/s12647-025-00884-0","url":null,"abstract":"<div><p>In this study, the radiation dose to an occupant living in a dwelling constructed with uranium mine waste rock was estimated. The RESRAD-BUILD software was used to simulate radiological exposure in a model room, where both the floor and ceiling were made using different compositions of uranium mine waste rock. The model room had standard dimensions of 5 × 4 × 2.8 m, with the floor and ceiling built from concrete incorporating waste rock as coarse aggregate (gravel). The occupant was assumed to be located at the center of the room, 1 m above the floor. Potential exposure pathways included external exposure and inhalation of radon and its progeny. The additional dose to the occupant was found to be 0.95 mSvy<sup>−1</sup> for a waste rock composition of 30%, which is below the public dose limit of 1 mSvy<sup>−1</sup>. Additionally, radon concentrations within the room, attributable to the waste rock, ranged from 8.8 to 33.8 Bqm<sup>−3</sup> for waste rock compositions of 25–100%, significantly lower than the recommended action level for radon.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"205 - 210"},"PeriodicalIF":1.3,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncertainty Evaluation for Activity Measurements Using 4π Gamma Ion Chamber 用4π γ离子室测量活度的不确定度评定

IF 1.3 4区工程技术

MAPAN Pub Date : 2026-02-11 DOI: 10.1007/s12647-026-00886-6

D. B. Kulkarni, R. Anuradha, Ritu Sharma, Astha Singh, Sneha Chandrasekhar, Probal Chaudhury

{"title":"Uncertainty Evaluation for Activity Measurements Using 4π Gamma Ion Chamber","authors":"D. B. Kulkarni, R. Anuradha, Ritu Sharma, Astha Singh, Sneha Chandrasekhar, Probal Chaudhury","doi":"10.1007/s12647-026-00886-6","DOIUrl":"10.1007/s12647-026-00886-6","url":null,"abstract":"<div><p>National metrology institutes (NMIs) and Designated Institutes (DIs) play a crucial role in establishing and maintaining measurement standards within a country. These institutes are responsible for ensuring the accuracy and traceability of measurements across various fields, including radiation metrology. In India, Radiation Standards Section (RSS) of Bhabha Atomic Research Center (BARC) is the DI and is responsible to develop, establish and disseminate the ionizing radiation standards. As the measurement of activity using primary standards is destructive, cumbersome and time consuming, secondary standards are used to conserve the unit of activity realized by primary standards. The secondary standards are fast and non-destructive and routinely used for activity measurements provides results with slightly higher uncertainty. The 4π Gamma Ion Chamber (GIC) is used as a secondary standard at RSS for activity measurements of gamma emitting radionuclides. The activity of the sample of a gamma emitting radionuclide was determined by measuring the current produced in the GIC using the sensitivity coefficient of a particular radionuclide in the given geometry. Overall, uncertainty evaluation is an essential part of the measurement process ensuring the reliability and traceability of activity measurements carried out using gamma ion chambers. By quantifying and reporting uncertainties, demonstrates the quality and comparability of activity measurements. Various quantities contributing to the overall uncertainty in measurement of activity is described in the paper. The method of the evaluation of uncertainties in these quantities is also discussed in detail.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"41 1","pages":"191 - 203"},"PeriodicalIF":1.3,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147631752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0