Measurement Methodology Research Articles

Methane Emissions from Coal Mines: Quantification, Capture, and Utilization Strategies for Atmospheric Impact Mitigation—A Case Study from Poland

Methane emissions from coal mines represent a significant environmental and atmospheric challenge, contributing to global greenhouse gas accumulation and impacting local air quality. This study aimed to quantify methane emissions from Polish coal mines, analyze their environmental and economic impacts, and evaluate advanced mitigation technologies to inform sustainable practices and policy alignment with global climate objectives. The study examined methane emissions from hard coal mining in Poland, emphasizing their scale, sources, and implications for the sector’s carbon footprint. A comprehensive overview of measurement methodologies, including direct sampling and advanced monitoring systems, is provided to highlight current capabilities and limitations. Furthermore, innovative capture technologies, such as ventilation air methane oxidation systems and methane drainage techniques, are explored alongside utilization pathways for energy production, including electricity generation and hydrogen synthesis. By integrating quantitative analyses and case studies, the article evaluates the effectiveness of these strategies in reducing methane emissions and improving air quality. The findings underscore the critical role of methane management in transitioning the coal industry toward more sustainable practices and achieving carbon neutrality goals. This study aims to inform policymakers, industry stakeholders, and researchers by presenting actionable insights into mitigating methane emissions, while fostering the dual objectives of environmental protection and resource efficiency.

Super-resolution ultrasound imaging of ischaemia flow: An in silico study.

Super-resolution ultrasound (SRU) is a new ultrasound imaging mode that promises to facilitate the detection of microvascular disease by providing new vascular bio-markers that are directly linked to microvascular pathophysiology, thereby augmenting current knowledge and potentially enabling new treatment. Such a capability can be developed through thorough understanding as articulated by means of mathematical models. In this study, a 2D numerical flow model is adopted for generating flow adaptation in response to ischaemia, in order to determine the ability of SRU to register the resulting flow perturbations. The flow model results demonstrate that variations in flow behaviour in response to locally induced ischaemia can be significant throughout the entire vascular bed. Measured velocities have variations that are dependent on the location of ischaemia, with median values ranging between 2-7 mms-1. Moreover, the distinction between healthy and ischaemic networks are recorded accurately in the SRU results showing excellent agreement between SRU maps and the model. Up to 7-fold spatial resolution improvement to conventional contrast ultrasound was achieved in microbubble localisation while the detection precision and recall was consistently above 98%. The microbubble tracking precision was of a similar accuracy, whereas the recall was reduced (77%) under varying ischaemic impacted flow. Further, regions with velocities up to 30 mms-1 are in excellent agreement with SRU maps, while at regions that include a proportion of higher velocities, the median velocity values are within 1.28%-3.32% of the ground-truth. In conclusion, SRU is a highly promising methodology for the direct measurement of microvascular flow dynamics and may provide a valuable tool for the understanding and subsequent modelling of behaviour in the vascular bed.

Current utility, instruments, and future directions for intra-renal pressure management during ureteroscopy: scoping review by global research in intra-renal pressure collaborative group initiative.

Technical advancements and intrarenal pressure are synergistic in improving perioperative outcomes during flexible ureteroscopy (FURS). Mismanaged intra-renal pressure (IRP) has negative consequences and it is associated with an increased risk of sepsis, bleeding, pelvicalyceal fluid extravasation, and even collecting system injuries and acute as well as chronic renal failure. The cornerstone of a safe FURS is the ability to continuously monitor IRP to avoid elevation of IRP above the normal range of 10 mmHg. This scoping review aims to report the current state of real-time IRP monitoring in in vivo clinical studies and the various monitoring methods and technology to understand how this may be best used in daily clinical practice. A systematic literature search was conducted. Only in vivo clinical studies published in English documenting IRP measurement methodologies during semirigid or flexible ureteroscopy for urolithiasis management were included. Out of 1326 retrieved papers, 17 studies met the inclusion criteria, comprising 2 randomized controlled trials, 2 retrospective studies, and 13 observational studies. Current noninvasive IRP monitoring devices include ureteric catheters placed retrogradely or via percutaneous tubing and connected to pressure transducers, amplified by cardiology-used pressure sensing systems or urodynamic systems, automated pressure-regulating systems, pressure sensing guidewires, and IRP sensing flexible ureteroscopes. The review revealed significant variations in IRP measurement methods, reporting units, and irrigation techniques. Notably, elevated IRP above 30 mmHg was consistently associated with increased postoperative complications, including sepsis. Current clinical studies have only ascertained that increased IRP above 40 mmHg positively correlates with infectious complications and postoperative pain. No standardized values are available to predefine safe thresholds in practice. With the availability of noninvasive tools for IRP monitoring, future research should focus on multicenter studies to establish reference ranges and best practices for IRP management, ultimately improving patient outcomes in endourological procedures.

Surface roughness analysis: A comprehensive review of measurement techniques, methodologies, and modeling

Surface roughness analysis: A comprehensive review of measurement techniques, methodologies, and modeling

Influence of Sample Preparation Method on Total Dietary Fiber Content Measurement of Low Carbohydrate Bread Containing High Levels of Cross‐Linked Phosphorylated RS4 Wheat Starch

ABSTRACTBackground and ObjectivesCross‐linked phosphorylated (CLP) RS4 wheat starch has been approved as a dietary fiber source by FDA because it can reduce insulin levels following a meal containing a carbohydrate that raises blood glucose levels. It has been successfully formulated in many high‐fiber and low‐carbohydrate bread products. This study aimed to determine the influence of sample preparation methods on the total dietary fiber content of these fiber‐fortified bread products during the assay with AOAC Method 991.43. In addition, the effects of CLP RS4 wheat starch on the morphology, crystallinity, and thermal properties of the bread were investigated.FindingsThe total dietary fiber content of breads formulated with unmodified wheat starch or CLP RS4 wheat starch was influenced by the sample preparation methods (drying, grinding, and sieving). Preferred methods are forced air oven over freeze‐drier and vacuum oven; coffee grinder over mortar and pestle; and 35‐mesh over 70‐mesh sieve. The proposed method excludes influence of operator and shows more repeatable results. CLP RS4 wheat starch in the bread was gelatinized and had restricted swelling, reduced enthalpy, and reduced crystallinity.ConclusionsThe proposed sample preparation method generated from this study involves drying the bread in a forced air oven at 40°C, particle size reduction using a coffee grinder, and screening the ground samples in a 35‐mesh sieve before total dietary fiber assay using AOAC Method 991.43.Significance and NoveltyOur study provided new and useful information on sample preparation methodology for total dietary fiber measurement of high‐fiber or low‐carbohydrate bread products containing CLP RS4 wheat starch. This methodology has potential applications in many high‐fiber flour‐based products other than bread.

GAN augmented phase noise modeling of PLL for use in automated testing

ABSTRACT Phase noise measurement of Phase Locked Loop (PLL) in automated test equipment (ATE) is expensive and time-consuming. Indirect phase noise measurement relies on a few correlated low-cost measurements called signatures obtained from specific nodes of the PLL. A regression model using these signatures is learned during the design phase for phase noise estimation. Extraction of these signatures and phase noise performance in PLL requires significant simulation time, raising non-recurring design costs and computer aided design (CAD) tool usage costs. In this work, a new methodology for indirect phase noise measurement is developed where Generative Adversarial Network (GAN), a deep learning framework, has been used for generating a substantial amount of model-driven synthetic signatures that are strongly correlated to simulation-driven real signatures. These model-driven signatures are then used to construct a regression model for phase noise prediction. The GAN model efficacy is verified by comparing the prediction accuracy of the simulation-driven signature-based model with the GAN-augmented signature-based regression model.

Profile and methodology of ancillary protective measures employed during percutaneous renal cryoablation in a single high-volume centre.

To evaluate the at-risk organs that require protection during percutaneous cryoablation (PCA) of renal tumours and the correlation with patient and target lesion characteristics, type of protective measure used and postoperative outcomes. Single-centre retrospective review of patients with renal tumours who underwent PCA between 2008 and 2020. Final analysis included 374 tumours. Patient, tumour, and procedure technical details were extracted and analysed. At-risk organs were classified according to tumour location relative to kidney side, pyelic axis, and polar lines. There were 171 (46.0%) tumours in the left kidney, and 194 (52.0%) in the right. Cryoprotection was required for 272 (272/374; 73.0%) tumours, with hydrodissection (216/374; 58.0%) being the most common technique. Protective measures were used for 82 (82/93; 88.0%) tumours in under/normal-weight patients and 143 (143/196; 73.0%) in overweight/obese ones (P = 0.004). In the left kidney, colon was the most common at-risk organ (63/171; 37.0%), followed by spleen (21/171; 12.3%), small bowel (21/171; 12.3%), ureter (19/171; 11.1%), abdominal wall (15/171; 8.8%), psoas muscle (10/171; 5.8%), and pancreas (9/171; 5.3%). In the right kidney, common at-risk organs were the colon (67/194; 35.0%), liver (50/194; 25.7%), ureter (15/194; 15.5%), diaphragm (16/194; 8.2%), abdominal wall (14/194; 7.2%), and duodenum (12/194; 6.1%). No cryoinjuries to at-risk organs occurred. Hydrodissection is the most common cryoprotective measure used for renal tumour PCA. Under/normal-weight patients are more likely to require cryoprotection. The colon is the most common adjacent at-risk organ requiring protection for both right- and left-sided tumours.

VIBRATIONS MEASUREMENTS IN INDUSTRIAL PLANTS AND THEIR INFLUENCE ON MACHINES

In the field of industrial machinery condition monitoring, vibration analysis is a vital technique that helps engineers and maintenance specialists identify possible problems in intricate systems before they become expensive failures. Ensuring the best performance and longevity of industrial gear is crucial, especially in sectors that largely depend on intricate machinery. The proper selection and application of measurement tools and methodologies is one of the most important components of an efficient vibration analysis. This research analyzes the impact of vibrations on the performance of two distinct machines, as well as the different methods employed by the machine manufacturers in interpreting the vibration measurements.

Holovan's House: determination methodology of measures for the storm drains sewerage of buildings and territory

Under the general understanding of the "Holovan's House" complex, this article examines the buildings and structures along with the land on which they are situated. The construction of the sculptor's own two-story brick residential house, which became the main element of the complex and gave it its name, was started by the renowned contemporary Ukrainian sculptor Mykola Holovan (1943 – 2022) in the 1980 s. Today, the history of the Holovan's House complex spans over 40 years. One of the reasons for this prolonged construction is the sculptor's creative approach, as he handcrafted various sculptural elements throughout the building process, aiming to incorporate them into the structural solutions for the house's enclosing constructions. These include lintels above the entrance doors, numerous decorative elements on the exterior walls, and the roof. The artist also applied this principle when arranging the house's storm drains sewerage, using handmade sculptural elements. Overall, most of the construction work on the buildings and structures, improvement of the territory was carried out manually by the sculptor. For Mykola Holovan, this was a continuous creative process. However, this also became one of the reasons for the partial incompletion of the Holovan's House complex, with the sculptor expressing in interviews his hope that his descendants would complete the work. The preliminary review of the Holovan's House complex revealed that the partial incompletion of certain construction works related to the installation of the storm drains sewerage for the buildings, structures and territory would have a negative impact on the technical condition of the residential house. Specifically, one of the reasons for the damage to the enclosing structures of the house, identified during the inspection, is the negative influence of the existing storm drains sewerage. In this context, the article justifies the methodology for determining measures to install the storm drains sewerage for the buildings, structures and territory. This methodology is based on the belief that a methodologically sound approach to making technical decisions in construction, reconstruction and restoration will provide protection against the gradual damage and deterioration of the house's structures.

The validity of physical optics for microwave analysis: accuracy through simplicity

Abstract Traditionally, the optics and microwave communities have been separated not only by the THz band but also by differences in technical knowledge, analytical and computational approaches, design processes, and measurement methodologies. In this contribution, we aim to bridge this divide by leveraging a computational asymptotic technique from optics, known as physical optics, which holds significant potential for the microwave/antenna community. This technique allows for precise microwave calculations for radiation patterns, reflection coefficients, material losses, and mutual coupling between antennas.

Design and Realization of a Cutting Force Measuring System to Analyze the Chip Removal Process in Rotational Turning

This study focuses on a detailed analysis of the cutting forces in rotational turning, a novel machining process designed to achieve high surface quality and productivity. Unlike traditional longitudinal turning, rotational turning employs a helical cutting-edged tool that performs a circular feeding movement, introducing complex kinematics that complicates the accurate measurement of the cutting forces. To address this, the theoretical background was described for modeling the cutting force removal. The process was experimentally simulated on a CNC milling machine using a custom-designed measurement system. The major cutting force, passive force, and feed force were successfully measured and analyzed under varying feed conditions for both rotational and longitudinal turning. The results demonstrate a significant reduction in the passive force during rotational turning compared to longitudinal turning, which directly contributes to lower elastic deformation in the radial direction of the workpiece. This reduction improves the dimensional accuracy and stability during machining. Additionally, the feed force was observed to be slightly higher in rotational turning, reflecting the influence of the rotational movement of the tool. These findings highlight the advantages of rotational turning for applications requiring precision and surface quality, particularly where radial deformation is a critical concern. This study establishes a reliable methodology for force measurement in rotational turning and provides valuable comparative insights into its performance relative to conventional turning processes.

The limits to growth(ism) in ChatGPT—corpus assisted discourse studies in AI-generated texts

The release of ChatGPT in 2022 has caused many concerns about the unpredictable consequences of popular AI usage in education, business, and other areas of human life. Some media have speculated about the adverse effects of AI on human communication, discourse, and even cognition, although the scholarly evidence to either confirm or dismiss such claims is very limited. In order to bridge this knowledge gap, the following article was designed as a corpus-assisted study of discourse in ChatGPT-generated texts, making it one of the first inquiries into AI discourse to date. The study analyzes the growthist bias in ChatGPT (4o version) and a possible methodology of reliable detection and measurement of bias in AI using corpus tools. Two differently composed corpora of the responses of ChatGPT in the semantic domain of the economy are studied quantitatively through the generation and statistical comparison of word frequency lists, keywords, and other measures. This procedure serves to objectify the qualitative analysis data, as well as to outline the size and range of bias. The results of the critical analysis of AI discourse and biases is treated as the crucial ground for any global discussion of AI impact on human discourse, as well as for the speculation on the ideological stance of the source information used for the initial training of the chatbot.

Evaluating Key Indicators for Urban Decarbonization: A Framework for Sustainable Cities

Urban decarbonization is critical for addressing climate change, given that urban areas are major contributors to global greenhouse gas emissions. In this paper there are synthesized findings from several studies on indicators for urban decarbonization. The review highlights the complexity of measuring urban decarbonization due to the diverse and interconnected factors involved. Key findings indicate that while there are numerous indicators available, there is no single measure that captures the full scope of urban decarbonization outcomes. Instead, a combination of indicators is necessary to provide a comprehensive assessment. The paper also identifies best practices and successful case studies from various cities that have implemented effective decarbonization strategies. Despite the progress, significant challenges remain, including data availability, financial constraints, and the need for coordinated governance structures. The review underscores the importance of continuous improvement in measurement methodologies and the integration of multiple indicators to guide policy decisions. This literature review contributes to the growing body of knowledge on urban decarbonization and provides a foundation for future research and policy development.

DESI2024: Dark Energy Spectroscopic Instrument (DESI) survey, presentation of Year 1 results

The series of papers included in this special issue represent the first cosmological measurements from the Dark Energy Spectroscopic Instrument (DESI). These papers present the validation of the DESI clustering catalogs, the methodology for the cosmology measurements, and the full cosmology implications. These measurements were derived from a catalog of approximately 6.4 million extragalactic sources in a redshift range of 0.1 < z < 4.2. Owing to advances in fiber positioner technology and to a larger telescope, this sample was acquired in only one year of observation, yet is more than double the size of the galaxy and quasar samples from the first four phases of the Sloan Digital Sky Survey (SDSS) that spanned 20 years. With these new galaxy and quasar catalogs, the DESI collaboration completed percent-level constraints on the cosmic expansion history and the growth of structure. In turn, these new measurements provided a new platform from which to test the equation of state of dark energy, the summed mass of the three neutrino mass eigenstates, global curvature, and General Relativity. By surpassing the precision of the previous generation spectroscopic survey, the results in this special issue mark the transition in the field of cosmology to Stage-IV dark energy science.

Towards a comprehensive framework for digital inclusion: a comparison of international measurements

PurposeMeasuring the extent of digital inclusion is a complex task. This study aims to monitor existing digital inclusion indices at the national level, compare their consistencies and differences and based on this, develop a more comprehensive measurement framework.Design/methodology/approachThe study selected the existing digital inclusion indices that met the screening criteria through a literature survey. Eight digital inclusion indices were included in the final selection and their measurement methodologies were collected. Thereafter, the study adopted a content analysis method to examine and compare the methodologies of the selected digital inclusion indices, with the coding framework grounded on the literature review.FindingsResults suggest that five dimensions of digital inclusion – Access, Skills, Usage, Acceptance and Impact – were measured. Access is the first priority dimension that all digital inclusion indices pay attention to. Skills and Usage are under-measured by methodological limitations in practical measurement tools. Acceptance and Impact are the least covered dimensions both in academic research and practical measurement. Based on this, we propose three suggestions for developing a more comprehensive global framework: designing from the national lens, using more objective and original data sources and improving the framework and indicators with theory.Originality/valueThe study provides scholars and policymakers in the field of digital inclusion with a reference point to create a more comprehensive measurement framework for digital inclusion.

Preliminary analysis of patient assessment within a study on the impact of hydrokinetotherapy on body composition and metabolic disease risk in an adult population segment

In clinical and research settings, the accurate and reliable evaluation of body composition is necessary. Existing methods present various challenges, either in measurement meth-odology or in the assumptions they rely on.The purpose of this study is to conduct a preliminary analysis of patient assessment within a study concerning the impact of hydroki-netotherapy on body composition and metabolic disease risk in an adult population seg-ment. Methods: The research was carried out at the Diabetes Ambulatory Clinic of the Suceava County Hospital in January 2024. An essential component of this investigation involves evaluating body composition parameters measured using the Tanita 738 device and assessing metabolic risk factors such as diabetes mellitus, hypertension, and dyslipidemia. In parallel with this research, a hydrokinetotherapy model adapted to this population is proposed for development. Results: The interpretation of BMI data for wom-en aged 40-60 revealed significant variability in this group’s body composition, as was al-so observed in women aged 61-80. Among women aged 61-80, there was a significant proportion of participants with morbid obesity (BMI ≥ 40). Similarly, the BMI data for men aged 40-60 indicated notable variability in body composition, consistent with the findings for men aged 61-80. Both age groups in men exhibited significant overweight and obesity, highlighting the need for increased attention to weight management and metabolic health among men. Conclusions: The study on body composition and metabolic disease risk among adults aged 40 to 80, participants at the Diabetes Ambulatory Clinic of the Suceava County Hospital, demonstrated significant findings in both women and men. Implement-ing a 4-month hydrokinetotherapy program indicates an approach aimed at optimizing participants’ health. A personalized approach and careful management of hydrokineto-therapy exercises are necessary. Weight loss through diet and physical exercise is proven to be the most effective treatment strategy for obese and overweight elderly subjects, facili-tating the maintenance of muscle mass and promoting functional recovery.

Methodology and uncertainty estimation for measurements of methane leakage in a manufactured house

Abstract. Methane emissions from natural gas appliances and infrastructure within buildings have historically not been captured in greenhouse gas inventories, leading to under-estimates, especially in urban areas. Recent measurements of these post-meter emissions have indicated non-negligible emissions within residences, with impacts on both indoor air quality and climate. As a result, methane losses from residential buildings have been included in the latest US national inventory, with emission factors determined from a single study of homes in California. To facilitate future additional studies investigating building methane emissions, we conducted a controlled experiment to document a methodology for such measurements and estimated associated uncertainties. We determined whole-house methane emission rates with a mass balance approach using near-simultaneous measurements of indoor and outdoor methane mole fractions at a manufactured house. We quantified the uncertainty in whole-house methane emission rates by varying the forced outdoor air ventilation rate of the manufactured house, measuring the outdoor air change rate using both sulfur hexafluoride and carbon dioxide tracers, and performing methane injections at prescribed rates. We found that the whole-house quiescent methane emission rate (i.e., emission rate when all gas appliances were off) in the manufactured house averaged 0.33 g d−1 with methodological errors in the calculated emission rates of approximately 19 % (root-mean-square deviation). We also measured the quiescent leakage from the manufactured house over 3 months to find 26 % (1σ) variability in emissions over two seasons. Our findings can be used to inform plans for future studies quantifying indoor methane losses downstream of residential meters using similar methods. Such quantification studies are sorely needed to better understand building methane emissions and their drivers to inform inventories and plan mitigation strategies.

Improved Method for Methane Pyrolysis Rate Measurement using Molten Metal Catalysts for Turquoise Hydrogen Production

Abstract To develop low-$$\hbox {CO}_2$$ CO 2 emission ferrous metallurgical process, $$\hbox {H}_2$$ H 2 -based ironmaking processes are being actively developed. Several technologies are being developed to provide a sufficient mass of $$\hbox {H}_2$$ H 2 in an environmentally friendly manner. One of such processes is “turquoise” $$\hbox {H}_2$$ H 2 , based on a natural gas pyrolysis such as $$\hbox {CH}_4$$ CH 4 (g) $$\rightarrow $$ → 2$$\hbox {H}_2$$ H 2 (g) + C(s), thereby minimizing $$\hbox {CO}_2$$ CO 2 emission. The reaction could be catalyzed using molten metals in a bubble column reactor. Therefore, the selection of the molten metal catalyst is important for enhancing the reaction efficiency and for minimizing the production cost. In the previous research of the present authors, a new methodology for the pyrolysis rate measurement was introduced by employing an electromagnetic levitation heating of catalytic molten metals followed by quadrupole mass spectrometer (QMS) analysis to assist in the selection of the catalyst metal. However, a potential source of error in this technique was identified. Therefore, two modifications of the methodology are reported in the present study: (1) changing the heating and feed gas supply patterns and (2) gas analysis technique from QMS to Gas Chromatography (GC). Accordingly, the reported pyrolysis rate of pure In, Ga, Bi, Sn, and Cu of the previous study was revised in the present study. It was revealed that Ga and In emitted non-negligible amounts of $$\hbox {H}_2$$ H 2 upon heating, even without the fuel gas ($$\hbox {CH}_4$$ CH 4 ). This was regarded as a noise in the $$\hbox {H}_2$$ H 2 signal measured by GC. On the other hand, Cu, Sn, and Bi did not show the noticeable $$\hbox {H}_2$$ H 2 (noise). The modified method provides $$\hbox {H}_2$$ H 2 production rate by the pyrolysis, by separating the noise in the regime of the chemical reaction control at the surface of the molten metals. $$1^\text {st}$$ 1 st -order reaction was confirmed. Graphical Abstract

Comparison spectral analysis and photometric parameters for different indoor and outdoor LEDs lighting

Light emitting diode (LED) lighting have gained in popularity owing to the advantages offered by them over incandescent lamps with respect to energy efficiency, strong robustness, operation life, and steadiness with time, making them suitable for a wide range of applications like residential and commercial lighting. In this work, the luminous flux and thermal stabilization time, color parameters, and spectral mismatch factors and their uncertainties have been measured and estimated for some indoor and outdoor commercial LED lamps of three different brands with nominal powers of 3, 9, and 36 watts. These lamps were classified into indoor-1, indoor-2, indoor-3, and outdoor LED lamps in order to enable the present analysis. The measurement methodology included a sophisticated luminous flux system using a 2.5-meter integrating sphere at the National Institute of Standards, NIS, equipped with the NIS photometer LMT U1000 and a series of NIS luminous flux secondary standard lamps calibrated at the National Physical Laboratory, NPL, in England. This is important for making proper, accurate measurements of the total luminous flux emitted by different LED lamps. In addition, an NIS Spectroradiometer (Ocean Optics HR 2000) and a photometric bench were used in order to measure the spectral power distribution of the lamps, by means of which we had the possibility to calculate the spectral mismatch correction factor quantify the color parameters and estimate the associated measurement uncertainties. The comprehensive approach in our study involves assessing luminous flux, thermal stabilization time, spectral mismatch correction factors, and chromaticity color coordinates, all in comparison to established standards provided by NIS Secondary Standard Lamps. This paper demonstrates that the obtained spectral mismatch correction factors and chromaticity color coordinates with their uncertainties can be used as basic corrections to luminous flux and color measurements. By doing this, the accuracy and dependability of these kinds of measurements are significantly improved, increasing the knowledge about the performance of LED lamps.

Prevention and Under-Reporting Effects of Food Waste Diaries

One method of quantifying food wastage in households is a food waste diary. The goal of this study is to evaluate the reliability of food waste diaries as a methodology of waste-level measurements. This form of self-reporting is considered to underestimate the levels of food wastage because of three phenomena. The so-called self-selection bias is minimized by the chosen study set-up. The under-reporting and prevention effects were determined by measuring the food waste levels amongst 80 participating households. In week 1, the food waste amounts were determined by individual waste sorting analysis; in week 2, they used a food waste diary followed by a waste sorting analysis. The use of food waste diaries leads to a considerable prevention effect of 20%. Individual sorting analysis of uninformed households showed a generation of 59 kg∙inh−1∙yr−1 of avoidable food waste and 28 kg∙inh−1∙yr−1 of non-avoidable food waste. When using food waste diaries, these amounts dropped to 47 and 23 kg∙inh−1∙yr−1, respectively. In the study, instead of an under-reporting effect, the analyses showed an over-reporting of 7%. In medium-rise housing, the food wastage level is lower than in the overall population of the study, whereas both the prevention effect and the over-reporting is higher. Low-rise housing shows the highest initial food waste level. High-rise housing shows the smallest prevention effect. In the countryside, both the food wastage level and the prevention effect are significantly lower than elsewhere. In smaller towns, a slight under-reporting effect was observed; elsewhere there was an over-reporting effect. Further research might focus on if and how long the prevention effect of the food waste diaries lasts amongst Polish households.