Temporal Changes In Temperature Research Articles

Skin graft monitoring using forward-looking infrared thermal imaging.

This study examined the feasibility of non-invasive infrared thermography to monitor skin graft viability. Sixty-three patients with skin defects attending a single institution from May 2022 to August 2023 were included. Patients underwent full-thickness or split-thickness skin grafts based on clinical indication. Infrared thermal images were obtained on postoperative days 0, 2, 4, 6 and 8. The temperature difference between the skin graft and surrounding normal skin was assessed using image analysis software. All 33 patients with full-thickness skin grafts showed successful healing. Among the 30 patients with split-thickness skin grafts, 7 experienced failure. The groups with successful full-thickness and split-thickness skin grafts exhibited a gradual increase in graft temperature, peaking on postoperative day 6 and decreasing on postoperative day 8. Temporal temperature changes were significant in each patient group (p < 0.001), and the differences in temperature change patterns between the two groups with successful grafts and the group with graft failure were also significant (p < 0.001). On postoperative day 6, the temperature difference was highest in the full-thickness skin graft group (0.197 ± 0.335°C), followed by the successful split-thickness skin graft group (0.426 ± 0.428°C), and the split-thickness skin graft group with graft failure (-2.100 ± 0.361°C). In conclusion, infrared thermal imaging can provide a non-invasive real-time assessment of graft status and predict graft success or failure.

CFD Simulation of Dynamic Temperature Variations Induced by Tunnel Ventilation in a Broiler House.

Maintaining the optimal microclimate in broiler houses is crucial for bird productivity, yet enabling efficient temperature control remains a significant challenge. This study developed and validated a computational fluid dynamics (CFD) model to predict temporal changes in indoor air temperature in response to variable ventilation operations in a commercial broiler house. The model accurately simulated air velocity and airflow distribution for different numbers of tunnel fans in operation, with air-velocity errors ranging from -0.22 to 0.32 m s-1. The predicted airflow rates through inlets and cooling pads showed good agreement with measured values with an accuracy of up to 108.1%. Additionally, the CFD model effectively predicted temperature dynamics, accounting for chicken heat production and ventilation effect. The model successfully predicted the longitudinal temperature gradients and their variations during ventilation cycles, validating its reliability through comparison with experimental data. This study also explored different variable inlet configurations to mitigate the temperature gradient. The variable inlet adjustment showed the potential to relieve the high temperatures but may reduce overall ventilation efficiency or intensify temperature gradients, which confirms the importance of optimising ventilation strategies. This CFD model provides a valuable tool for evaluating and improving ventilation systems and contributes to enhanced indoor microclimates and productivity in poultry houses.

Temporal change in minimum mortality temperature under changing climate: A multicountry multicommunity observational study spanning 1986-2015.

The minimum mortality temperature (MMT) or MMT percentile (MMTP) is an indicator of population susceptibility to nonoptimum temperatures. MMT and MMTP change over time; however, the changing directions show region-wide heterogeneity. We examined the heterogeneity of temporal changes in MMT and MMTP across multiple communities and in multiple countries. Daily time-series data for mortality and ambient mean temperature for 699 communities in 34 countries spanning 1986-2015 were analyzed using a two-stage meta-analysis. First, a quasi-Poisson regression was employed to estimate MMT and MMTP for each community during the designated subperiods. Second, we pooled the community-specific temporally varying estimates using mixed-effects meta-regressions to examine temporal changes in MMT and MMTP in the entire study population, as well as by climate zone, geographical region, and country. Temporal increases in MMT and MMTP from 19.5 °C (17.9, 21.1) to 20.3 °C (18.5, 22.0) and from the 74.5 (68.3, 80.6) to 75.0 (71.0, 78.9) percentiles in the entire population were found, respectively. Temporal change was significantly heterogeneous across geographical regions (P < 0.001). Temporal increases in MMT were observed in East Asia (linear slope [LS] = 0.91, P = 0.02) and South-East Asia (LS = 0.62, P = 0.05), whereas a temporal decrease in MMT was observed in South Europe (LS = -0.46, P = 0.05). MMTP decreased temporally in North Europe (LS = -3.45, P = 0.02) and South Europe (LS = -2.86, P = 0.05). The temporal change in MMT or MMTP was largely heterogeneous. Population susceptibility in terms of optimum temperature may have changed under a warming climate, albeit with large region-dependent variations.

Effects of spatial versus seasonal sources of environmental variability in springs: a case study of microcrustaceans (Ostracoda, Harpacticoida) in a calcareous helocrene

The cold temperate helocrenes are usually attributed to high biodiversity because of environmental heterogeneity. Their temporal stability of environmental conditions reduces seasonal changes in assemblage composition. However, the within-site patterns and processes have been only rarely studied in springs, thus our knowledge remains limited. In this study, we investigated a microcrustacean assemblage of a helocrenic calcareous spring at a high spatial resolution. We tested differences among visually distinct mesohabitats, and related the assemblage composition variation to environmental variables and seasonal changes by a repeated sampling in spring, summer and autumn. At this single site, we recorded 26 species of ostracods and harpacticoids, accounting for almost 50% of the whole known regional species pool. Species richness and composition varied significantly between the mesohabitats, the latter mainly due to differences in environmental variables (mainly water depth and temperature). The occurrence of cold-adapted species was restricted to the spring source, but species inhabiting other mesohabitats had clearly broader ecological niches. Despite significant temporal changes in water temperature, microcrustaceans showed almost negligible seasonal changes in species composition, suggesting that their microdistribution remains stable throughout the year. Our findings have important implications for sampling design of large-scale ecological studies and spring conservation.

Temperature profile during endourological laser activation: introducing the thermal safety distance concept.

To examine temporal-spatial distribution of heat generated upon laser activation in a bench model of renal calyx. To establish reference values for a safety distance between the laser fiber and healthy tissue during laser lithotripsy. We developed an in-vitro experimental setup employing a glass pipette and laser activation under various intra-operative parameters, such as power and presence of irrigation. A thermal camera was used to monitor both temporal and spatial temperature changes during uninterrupted 60-second laser activation. We computed the thermal dose according to Sapareto and Dewey's formula at different distances from the laser fiber tip, in order to determine a safety distance. A positive correlation was observed between average power and the highest recorded temperature (Spearman's coefficient 0.94, p < 0.001). Irrigation was found to reduce the highest recorded temperature, with a maximum average reduction of 9.4°C at 40W (p = 0.002). A positive correlation existed between average power and safety distance values (Spearman's coefficient 0.86, p = 0.001). A thermal dose indicative of tissue damage was observed at 20W without irrigation (safety distance 0.93±0.11mm). While at 40W, irrigation led to slight reduction in mean safety distance (4.47±0.85 vs. 5.22±0.09mm, p = 0.08). Laser settings with an average power greater than 10W deliver a thermal dose indicative of tissue damage, which increases with higher average power values. According to safety distance values from this study, a maximum of 10W should be used in the ureter, and a maximum of 20W should be used in kidney in presence of irrigation.

Temporal changes in rainfall and Temperature influence on Solid Waste Generation in Bungoma County Urban Centres, Kenya

Temporal changes in rainfall and Temperature influence on Solid Waste Generation in Bungoma County Urban Centres, Kenya

MANGROVE FOREST MANAGEMENT STRATEGY IN BEDUL, BANYUWANGI: COLLABORATION BETWEEN COMMUNITY AND ALAS PURWO NATIONAL PARK FOR SUSTAINABLE ECOTOURISM DEVELOPMENT

This study aimed to: (1) identify the condition of the Bedul Banyuwangi mangrove forest area for sustainable ecotourism; (2) evaluate the fitness of the Bedul Banyuwangi mangrove forest for sustainable ecotourism; (3) evaluate collaboration between the community and the management of Alas Purwo National Park in conserving Bedul mangrove forest areas; and (4) design a management strategy for the Bedul mangrove forest for developing sustainable ecotourism. This research is a descriptive analytic study with a survey technique constructed using a remote sensing approach and a Geographic Information System (GIS). Landsat and Quickbird satellite imagery are used to identify temporal changes in mangrove forests and temperature over the last decade. Quickbird remote sensing data are used to evaluate the current land use associated with community activities in mangrove areas and government policies related to the presence of mangrove forests. The results showed that: 1) the condition of the Bedul Banyuwangi mangrove area from 1995-2022 was in a stable state. ; 2) the fitness of the Bedul Banyuwangi mangrove forest for sustainable ecotourism is included in the S2 category or following with the Bedul mangrove ecotourism fitness index; 3) the collaborative management of the Bedul mangrove ecotourism between the community (fishing community, local government) and the management of Alas Purwo National Park is continuing good to maintain the condition of the mangroves and provide economic benefits to the community in a sustainable manner; 4) the management strategy implemented is to maintain the quality and quantity of Bedul mangroves and supporting facilities in a sustainable manner. This research can be used as a reference for future research into sustainable ecotourism, as well as for the government to create policies that support sustainable ecotourism.

Future projections of compound temperature and precipitation extremes and corresponding population exposure over global land

Extreme climate events are hotspots in global change. However, research on the changes in future compound events and population exposure is still limited. Leveraging from the data of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), this paper aims to analyze the temporal and spatial changes of global compound temperature and precipitation extreme events in the future. We also predict the risk of population exposure and quantify the contribution of different factors to exposure. The results show that: (1) In the next 80 years, compound hot-dry event (CHDE) will increase at a rate of 0.02, 0.03, and 0.08 days per decade under the three scenarios of SSP1–2.6, SSP2–4.5 and SSP5–8.5, respectively. By comparison, compound hot-humidity event (CHHE) shows a downward trend under the three scenarios, with a downward rate of 0.01, 0.02, and 0.11 days per decade, respectively. (2) Under the SSP1–2.6 and SSP2–4.5 scenarios, CHDE and CHHE have two or more mutation points. Under the SSP5–8.5 scenario, CHDE shows a significant upward and CHHE shows a significant downward trend in the middle and late 21st century. These two indices exhibit periodic changes in all three scenarios (3) South Asia, West Asia, and Northeast Africa have higher CHDE values, while regions with higher CHHE values are located in North Asia and Greenland. (4) Climate change is a major factor affecting population exposure. For CHDE, climate, population, and their synergistic effects contribute about 75%, 20%, and 5% to the exposure, respectively. For CHHE, the contributions of these three factors are 85%, 10%, and 5% respectively. These findings provide scientific guidance for the rational formulation of population policies, the effective avoidance of climate disaster risks and the protection of human health.

Activity budget of Bengal Monitor Varanus bengalensis: Effect of daytime, season, age and temperature

The Bengal Monitor (Varanus bengalensis) is a large, ecologically flexible species and commonly found in many ecological settings including human-modified habitats. We conducted a study on the activity budget of this species employing the focal sampling method in the Chandpur district of Bangladesh. The Bengal Monitor spent the highest proportion of time in resting (33.09%) and the least proportion (3.75%) of time in anti-predatory behavior. The proportion of time spent on each activity by Bengal Monitor varied significantly between age classes and seasons except anti-predatory behavior. The highest proportion of basking activity was recorded for adult and sub-adult individuals in the dry season. Meanwhile, resting and foraging behavior was higher during the wet season. Locomotion activities were higher in sub-adults than in adult individuals. The duration of the activities did not differ significantly for daytime and season. However, an increase of air temperature significantly impacted lowering basking and rising locomotion activities among all behaviors of adult Bengal Monitor. The present findings suggest that the activities of the Bengal Monitor varied according to temporal and seasonal changes in the habitat's temperature, and age may crucially affect the allocation time for different activities.

Effect of iodized oil embolization on temperature change during cryoablation for renal cell carcinoma

Introduction We aimed to evaluate the effect of transcatheter arterial embolization (TAE) with iodized oil (Lipiodol) on temperature change during cryoablation (CA) for renal cell carcinoma (RCC). Material and methods We retrospectively reviewed patients receiving CA for RCC from February 2020 to July 2021, including those who received Lipiodol TAE prior to CA (TAE group) and those who underwent only CA with comparable clinical and tumor characteristics (non-TAE group). Clinical data and tumor characteristics of both groups were recorded. The temperature readings of each cryoprobe at every 15 s and ‘time to −100 °C’ were compared between the groups. Results A total of 17 patients with 18 RCCs were recruited (seven in the TAE group and 11 in the non-TAE group). The ‘time to −100 °C’ was significantly longer in the TAE group than in the non-TAE group (64.5 ± 24.3 s vs. 48.8 ± 9.7 s, p = 0.018). Positive correlation between ‘time to −100 °C’ and tumor maximal diameter, RENAL nephrometry and PADUA score were observed in the non-TAE group, while no corresponding correlation was found in the TAE group. Conclusions Pre-embolization with iodized oil influences the temporal temperature changes during cryoablation by disrupting the positive correlation between the time to reach the target temperature and tumor characteristics.

Implications of Flat‐Slab Subduction on Hydration, Slab Seismicity, and Arc Volcanism in the Pampean Region of Chile and Argentina

AbstractThe Pampean flat slab in central Chile and Argentina is characterized by the inland migration and subsequent cessation of arc volcanism since the mid‐Miocene. Slab flattening also affects the distribution and number of intermediate‐depth earthquakes and the evolution of the overlying continental thermal structure. In this study, we combine thermal‐mechanical models with petrological models to examine temporal changes in pressure, temperature, and composition during flat‐slab subduction and estimate water carrying capacity, predicted melt distributions and predicted changes in melt composition. Model results indicate that the present‐day flattened Nazca plate carries water to ∼700 km inland from the trench and could cause flux melting if the material above the slab remains fertile. Observed slab seismicity matches areas where hydrated materials have ∼&gt;3 wt% H2O in the oceanic crust and mantle lithosphere. Seismicity increases as slab water carrying capacity decreases (slab dehydration). As P‐T conditions and compositions of the rock trapped above the slab change during slab flattening, flux melting switches from a peridotite‐dominated early phase to a combined mid‐ocean ridge basalt/eclogite and peridotite melting at ∼8 Ma. The results provide broad consistency with known earthquake distributions, seismic velocities, and observed temporal and spatial changes in volcanic patterns above the Pampean flat slab and point toward the role of melt depletion in the decrease and ultimate cessation of arc volcanism in this region.

Tracking the Temporal Changes in Land Surface Temperature, Vegetation, and Built-up Patterns in Rizal Province, Philippines using Landsat Imagery

The Rizal Province was subjected to a series of natural and human-induced disturbances throughout the years. Currently, the area is undergoing urbanization which in turn results in shifts in the extent of impervious surfaces that can intensify heat-related health concerns, increase energy consumption for cooling, and alter local weather patterns. This study uses remote sensing images from to quantify the various environmental considerations that remain undocumented and unmapped for areas caused by changes in land use and land cover from Landsat Collection 1- Level 1 (Landsat 4-5 ™ C1- Level 1 &amp; Landsat 8 OLI/ TIRS C1 Level 1) and calculated three parameters namely, (i) Land surface temperature (LST), (ii) Normalized Difference Vegetation Index (NDVI), and (iii) the Normalized Difference Built-up Index (NDBI). The results showed the following: (i) an increase in the vegetation cover from 1993-2020 showed a decrease in LST from 29.34°C to 24.03°C, (ii) the relationship between LST and NDBI is directly proportional, whereas an inversely proportional relationship can be observed between LST and NDVI, and (iii) there is a fluctuating LST due to the changes in the land cover of the study site for almost three decades. This implicates the extensive shift in the ambient temperature of Rizal which further emphasizes the effects of the modification in certain land use land cover classifications, especially in vegetation cover and urban development. This highlights how human-induced and natural factors significantly contribute to the release of heat and ambient temperature, thus, accentuating the need for sustainable urban planning.

Evaluation of Spatio -Temporal Changes in Leaf Area Index and Land Surface Temperature in the Bioclimatic Regions of Northern Iran

Evaluation of Spatio -Temporal Changes in Leaf Area Index and Land Surface Temperature in the Bioclimatic Regions of Northern Iran

Response of dissolved carbon dioxide and methane concentration to warming in shallow lakes

Shallow lake ecosystems are highly sensitive to temperature fluctuation because of their high water surface-to-volume ratios. Shallow lakes have been increasingly identified as a hotspot of CO2 and CH4 emissions, but their response to temperature variation remains unclear. Here, we report from a 5-month outdoor mesocosm experiment where we investigated the impacts of a projected 3.5 °C future warming and monthly temperature changes on lake CO2 and CH4, as well as the key drivers affecting the lake carbon cycling. Our results show that CO2 and CH4 concentrations had a significantly positive correlation with monthly temperatures. CH4 concentration was primarily regulated by monthly temperature, while nutrients effects on CO2 concentration overrode climate warming and temporal temperature changes. These findings imply the varied roles that temperature and nutrient levels can play on CO2 and CH4 dynamics in shallow lake systems. The relationship between temperature and CO2 concentration was nonlinear, showing a threshold of approximately 9 °C, at which CO2 concentration could be strongly modified by nutrient level in the lake systems. Understanding this complex relationship between temperature with CO2 and CH4 concentrations in shallow lakes is crucial for effective lake management and efficient control of greenhouse gases (GHGs) emissions.

Predicting nitrate exposure from groundwater wells using machine learning and meteorological conditions

AbstractPrivate groundwater wells can be unmonitored sources of contaminated water that can harm human health. Developing models that predict exposure could allow residents to take action to reduce risk. Machine learning models have been successful in predicting nitrate contamination using geospatial information such as proximity to nitrate sources, but previous models have not considered meteorological factors that change temporally. In this study, we test random forest (regression and classification) and linear regression models to predict nitrate contamination using rainfall, temperature, and readily available soil parameters. We trained and tested models for (1) all of North Carolina, (2) each geographic region in North Carolina, (3) a three‐county region with a high density of animal agriculture, and (4) a three‐county region with a low density of animal agriculture. All regression models had poor predictive performance (R2 &lt; 0.09). The random forest classification model for the coastal plain showed fair agreement (Cohen's κ = 0.23) when trying to predict whether contamination occurred. All other classification models had slight or poor predictive performance. Our results show that temporal changes in rainfall and temperature, or in combination with soil data, are not enough to predict nitrate contamination in most areas of North Carolina. The low level of contamination (&lt;25%) measured during the study could have contributed to the poor performance of the models.

Spatio-Temporal Variations of Climate Variables and Extreme Indices over the Aral Sea Basin during 1960 - 2017

The Aral Sea plays a key role in the socio-economic development of Central Asia. In the past few decades, with the combined effects of global warming and human activities, the ecological environment of the Aral Sea has undergone significant changes, such as the reduction of the basin area and the drop in water levels. In this study uses the observed climate data, combined with remote sensing to systematically analyze the characteristics of changes in climate in the Aral Sea Basin (ASB). We used linear regression, Pearson's correlation and Pettit's test to determine climate change. The main conclusions are as follows. Based on the analysis of the temporal and spatial changes of temperature, precipitation, and potential evapotranspiration in the Aral Sea Basin from 1960 to 2017, it was found that the annual average temperature, precipitation, and potential evapotranspiration increased by 0.32 ℃ decade-1, 0.16 mm decade-1, and 0.04 mm day-1 decade-1, respectively. In addition, the changes of these climatic variables were different in the growing season (April - September) and the non-growing season (October - March). Temperature and potential evapotranspiration increased in both growing and non-growing seasons; however, the precipitation decreased (increased) in the growing (non-growing) season. This means that the climate in the growing season showed a warming and drying trend. HIGHLIGHTS In this study, we present the complex and detailed analysis that we performed by combining temporal and spatial changes in key climate parameters temperature, precipitation and potential evapotranspiration and change of climate extreme indices in the entire Aral Sea Basin and its sub-regions. GRAPHICAL ABSTRACT

Analyzing the Impact of Land Surface Temperature Due to Urbanization Using Landsat 8 Satellite Image

Over the past years, global warming has become one of the enormous issues the world has faced. Malaysia is also not excluded from this worldwide problem. Due to rapid urbanization and deforestation, the temperature is getting warmer day by day. One of the dangerous effects that can be occurred were heatwaves. This phenomenon can even cause death due to heatstroke. This study aims to analyse the temporal changes in Land Surface Temperature due to Land Cover changes using multispectral Landsat 8 satellite images. The study area is Puncak Alam, Selangor where thermal images and landcover classification images were produced. By using Landsat 8 TIRS, analysing the land surface temperature of the study area can be achieved. The output was landcover classification images using Support Vector Machine algorithm and thermal images for year 2014 and 2021. From the result, it can be analysed that, the study area had been experiencing deforestation due to urbanization over the years. This causes an increase in land surface temperature in 2021 compared to 2014. The increase in land surface temperature percentage was obvious in class range 20°C to 25°C to a hotter range of 27.5°C to 32.5°C by almost 15% to 30% increase. The forest and urban area which show the most deforestation area has experienced an increase in land surface temperature to 27.5°C - 30°C by 44%.

Simulating synergistic impacts of climate change and human induced stressors on a northern Gulf of Mexico estuarine food web

Apalachicola Bay, an estuary located in northwest Florida, is likely to experience a continuing increase in the severity of the effects of changing climate and human-induced stressors, such as sea level rise and changes in freshwater inflow. A coupled hydrodynamic and food web modeling approach was used to simulate future scenarios of freshwater input and sea level rise in Apalachicola Bay from 2020 to 2049 to demonstrate the range of temporal and spatial changes in water temperature, salinity, fisheries species biomasses, total food web biomass and upper trophic level diversity. Additionally, a survey of Apalachicola Bay stakeholders was conducted concurrently with model development to assess stakeholder knowledge and concerns regarding species and environmental changes within the system. Results of the model simulations indicated an increase in water temperature across all scenarios and an increase or decrease in salinity with scenarios of low or high river flow, respectively. These results aligned with the impacts anticipated by stakeholders. White shrimp biomass increased with low river flow and decreased with high river flow, while Gulf flounder biomass decreased across all scenarios. The simulated trends in white shrimp biomass contrasted with stakeholder perceptions. The food web model results also showed an increase in total food web biomass and decrease in upper trophic level diversity across all future scenarios. For all modeled simulations, the largest differences in future environmental variables and species biomasses were between scenarios of low and high river flow, rather than low and high sea level rise, indicating a stronger influence of river flow on the abiotic and biotic characteristics of the estuary. Stakeholders anticipated a future reduction in river flow and increase in sea level rise as negatively impacting the Franklin County economy and stakeholders’ personal interaction with the Apalachicola Bay ecosystem. The use of the ensemble modeling approach combined with the stakeholder survey highlights the use of multiple knowledge types to better understand abiotic and biotic changes in the estuarine system. Results provide insight on the synergistic effects of climate change and human-induced stressors on both the estuarine food web and human community of Apalachicola Bay.

Comparative Analysis of Three Near-Surface Air Temperature Reanalysis Datasets in Inner Mongolia Region

Near-surface air temperature is important for climate change, agriculture, animal husbandry, and ecosystems undergoing climate warming in Inner Mongolia. Land surface reanalysis products feature finer spatial and temporal resolutions, that can provide important data support for the determination of crop growth limits, grassland biomass growth, and desertification research in Inner Mongolia. In this study, 119 in situ observed sites were collected to compare and evaluate the performance of near-surface air temperature in three reanalysis products from 2018 to 2020 in Inner Mongolia. The three reanalysis products included three widely used products derived from the European Centre for Medium-Range Weather Forecasts (ECMWF) Fifth Generation Land Surface Reanalysis (ERA5-Land), and U.S. Global Land Data Assimilation System (GLDAS), as well as the latest reanalysis product from the High-Resolution Land Data Assimilation System reanalysis product by the China Meteorological Administration (HRCLDAS). Results are as follows: (1) The three reanalysis temperature products all reasonably reflect the characteristics of spatial and temporal changes in surface temperature in Inner Mongolia. Compared with ERA5L and GLDAS, HRCLDAS is more consistent with the observed results. (2) For the evaluation period, HRCLDAS has a certain underestimation of temperature, while ERA5-Land and GLDAS have a significant overestimation of temperature. (3) During high-temperature processes, HRCLDAS is more accurate in simulating higher temperatures than ERA5-LNAD and can demonstrate the changes in high-temperature drop zones. The major conclusion of this study is that the HRCLDAS product demonstrates a relatively high reliability, which is of great significance for the study of climate, ecosystem, and sustainable development.

Scanning pulse phase thermography for surface defect detection in manganese steel turnout frogs

Austenitic manganese steel is a commonly used material for railway turnout frogs due to its beneficial mechanical properties. In service, surface defects caused by rolling contact fatigue (RCF) can occur and need to be detected and assessed during maintenance intervals. In this work inductive scanning pulse phase thermography is used to localize these surface defects. During scanning the surface of the frog is heated (∆T&lt;5K) with an air-cooled inductor. The surface temperature is recorded with an infrared camera. A registration target is also recorded in each frame of the image sequence. This method recognizes the movement in the sequence itself without external sensors. Furthermore, by using a registration target it is also possible to scan manually, as motion speed is calculated frame by frame. For the evaluation, the recorded sequence is transformed such that the turnout frog and the registration target seem to be stationary. In this new sequence the temporal changes in temperature of each pixel of the surface are evaluated by Fourier transform to a phase image. The evaluation via phase image is known to be robust to negative effects such as inhomogeneous heating and emissivity. This work aims at developing a mobile prototype, which allows service personnel to use scanning pulse phase thermography to localize and characterize surface defects on manganese steel turnout frogs during maintenance.