Field Measurement Method Research Articles

Analysis of the movement pattern of overburden and the form of spatial development of separation after mining in a fully mechanized caving face

For the fully mechanized caving face, it is easy to cause significant surface subsidence and other related problems after large-scale mining of coal seams, we should take some measures to solve them. In this study, in order to further explore the movement pattern of overburden and the form of spatial development of separation after mining in a fully mechanized caving face, we combined the engineering practice of Tangshan mining area, took the T2294 and T2291 working faces as the engineering background and used the three methods of similar simulation, numerical simulation and field measurement to comprehensively study. The results show that in the first stage of working face mining, the separation can generally reach 0.31 times the mining thickness of the coal seam, and the maximum can reach 0.58 times the mining thickness; in the second stage, the width of the separation seam is narrow, and the separation is small. It generally takes 20–30 days for the separation to reach its maximum from initiation, which is equivalent to the working face advancing 70–100 m, and the corresponding horizon height is 200 m. The research results provide theoretical guidance and a basis of engineering practice for the safe mining of multiple working faces under the Jingshan railway. This study even provides a basic theoretical reference for the safe mining of a thick coal seam working face under similar engineering geological conditions.

Evaluation of electrical activity at the carpal tunnel area in response to median nerve elbow stimulation using magnetoneurography

ObjectiveTo develop a magnetic field measurement method in the carpal tunnel area in response to electrical median nerve stimulation at the elbow and evaluate its usefulness. MethodsFive healthy subjects participated. The magnetic field recording evoked by median nerve electrical stimulation at the elbow with electrical intensity that minimized the pronator quadratus and flexor carpi radialis muscle response was measured with 132-channel superconducting quantum interference device magnetoneurography. The current distributions were reconstructed from magnetic fields with the spatial filter method. The magnetic fields evoked by electrical stimulation at the index distal interphalangeal joint were also measured. ResultsAfter median nerve elbow stimulation, intra-axonal current and inward currents flowing perpendicularly to the nerve pathway were visualized. The mean ± SD inward current intensity at the center of the carpal tunnel area was significantly larger with elbow stimulation than with index distal interphalangeal joint stimulation: 1.11 ± 0.65 nAm versus 0.51 ± 0.15 nAm (p = 0.047). ConclusionsMagnetic field measurement in the carpal tunnel area with adjusted submaximal stimulation at the elbow can detect larger signals compared with digit stimulation. SignificanceThis method has the potential to be more useful for the examination of carpal tunnel syndrome patients.

Analysis of Control Technology for Large Deformation of a Geological Bedding Bias Tunnel with Weakly Cemented Surrounding Rock

The Baishitou Tunnel of the Dali–Lincang railway project is a weakly cemented surrounding rock tunnel with geological bedding bias. The deformation of the surrounding rock on the side with the greatest stress is nearly 1 m, which seriously affects construction progress and significantly increases construction cost. In order to achieve the goal of safe, efficient, economic, and socially sustainable development in tunnel construction, it is necessary to study the large deformation of weakly cemented surrounding rock in the geological bedding bias tunnel. Engineering technicians first used field measurement methods to monitor the pressure and deformation of surrounding rock and studied the deformation law of surrounding rock pressure and deformation over time. Secondly, numerical simulation methods were used to study the stress distribution law, plastic failure depth, and initial support stress of tunnel-surrounding rock under different support schemes, and they independently designed a yielding anchor bolt with enhanced anchoring, which plays a key role in controlling the deformation of the surrounding rock. The main conclusions are as follows: (1) Through the analysis of the measured pressure data of the initial branch of the section and the displacement monitoring data of the measuring point, it is found that the deformation of the surrounding rock of the weakly cemented tunnel is large and fast. At the same time, the pressure and deformation of the surrounding rock of the tunnel are greatly affected by geological bedding bias. After the excavation of the inverted arch, the pressure and deformation of the surrounding rock at the right arch shoulder of the tunnel are the highest, reaching 0.832 MPa and 0.53 m, which are significantly greater than those on the left arch shoulder. (2) Using the numerical simulation software FLAC3D 5.0 and ANSYS 16.0, a three-dimensional numerical model of the roadway was established to simulate the stress distribution, plastic failure depth, and initial support stress of the tunnel’s surrounding rock under the influence of geological bedding bias. By comparing the support effects of different support schemes, it was concluded that under the support scheme of “I25 arch + yielding anchor bolt”, the surrounding rock failure depth was small, the stress concentration was weak, and the initial support deformation was controllable as a whole. (3) The self-designed yielding anchor bolt has good economic and applicable value, and it has received the expected support effect after field verification. (4) Various special support measures such as advanced grouting anchor rods, casing arches, or temporary cross supports are used to assist in controlling the large deformation of weakly cemented surrounding rock tunnels to a certain extent.

Simulation-based comparative analysis of U-value of field measurement methods

Accurate analysis of building energy performance necessitates methodologies that can diagnose the thermal performance of a building's envelope. The building envelope contains various uncertainties and poses difficulties in verifying the measurement results, making it crucial to ensure the reliability of the measurement method. This study used dynamic simulations to verify the accuracy and reproducibility of commonly used field measurement methods. The simulation data were applied to the heat flux meter (HFM) and infrared thermography (IRT) methods to calculate the thermal transmittance of the building envelope and confirm their suitability as a field measurement method. According to the accuracy verification results, the HFM and indoor IRT (IRTi) methods, which are less affected by the external environment, evaluated the actual thermal performance of the wall close to the theoretical value with average relative errors of 3.3% and 4.2%, respectively. In the reproducibility evaluation, the HFM method exhibited similar levels of deviation over time. Additionally, to reduce the deviation in the reproducibility of the thermal transmittance derived from the IRT method, the average method was applied for data analysis, leading to a decrease in the reproducibility deviation from 36.5% to 13.3% for IRTi and from 107.3% to 71.8% for IRT outdoors (IRTo).

N2O Emissions from Aquatic Ecosystems: A Review

Emissions of nitrous oxide (N2O) from aquatic ecosystems are on the rise due to the dramatic increase in global reactive nitrogen input by anthropogenic activities (e.g., agricultural nitrogen fertilizer use). However, uncertainties exist in the estimation of aquatic N2O budgets due to limited knowledge of mechanisms involved in aquatic N2O emissions, as well as the N2O flux measurements and modelling. To give a full picture of aquatic N2O emissions, this review discusses the biotic and abiotic mechanisms involved in aquatic N2O emissions, common methods used in aquatic N2O flux measurements (including field measurement methods and formula simulation methods), and alternatives for aquatic N2O budget estimation. In addition, this review also suggests that stable isotope technology is promising in the application of aquatic N2O source partitioning.

Open Data and machine learning in the service of complementing municipal GIS inventory

Abstract. In this study the authors investigated the possibilities to use open data and open software complemented with machine learning to enhance the content of municipal databases. In the study area in Székesfehérvár, a GIS system is used with approximately with 30 modules, although many are still missing. The authors prepared examine the easiest and most affordable methods to extract data to use in two future modules: Parking and Traffic Engineering module. In parking model along field survey, they used QGIS and OpenStreetMap, in the other module they used Google StreetView for defining the places of traffic signs and used machine learning to define the signposts. They found that the accuracy of creating the parking module is based on the completeness of the database and the field measurement method, in case of the Traffic Engineering method the up-to-dateness and completeness of the original data source (Google Street View) and the number of teaching samples influence the results.

Characterization of the growth, productivity and physical fiber properties of indigenous cashmere goats in southern Kyrgyzstan

Since 2008, a breeding flock of Kyrgyz indigenous goats has been developed by a Kyrgyz non-government organisation (NGO) in the mountainous region of Osh Province in southern Kyrgyzstan, to preserve, select and distribute improved cashmere goats to villagers to increase their income from selling fine white cashmere. The NGO has trained farmers in 31 villages on better goat management and cashmere harvesting, established and advises 22 villages in a community-based breeding program with the foundation of improved sires and females from the NGO’s nucleus flock. This report provides the initial characterisation of the phenotypic, genetic and socio-economic value of this cashmere landrace. Live weights for females were (mean±s.d., kg): 1-year old, 27.4 ± 3.0 (n = 54); adult 6-years and older, 37.8 ± 4.8 (n = 58); and for males: 1-year old, 28.8 ± 3.2 (n = 40); 3-year old, 55–60 (n = 3). Using measurements (means±s.d.) taken on one-year old goats born between 2017 and 2021, shows cashmere weight (CW) 123 ± 56 g (n = 240), mean fiber diameter (MFD) 14.9 ± 1.2 µm (n = 332) and cashmere length (CL) 30.1 ± 6.7 mm (n = 200). Applying a linear animal model including birth year, birth type and sex we calculated heritabilities and their sampling errors (s.e.) as 0.12 ± 0.12, 0.58 ± 0.16 and 0.50 ± 0.24 for CW, MFD and CL, respectively. Genetic correlations between CW and both MFD and CL resulted rather low (−0.22 ± 0.54 and 0.16 ± 0.57) and between MFD and CL rather high (0.48 ± 0.25). Similarly, phenotypic correlations between CW and both MFD and CL resulted low (0.12 ± 0.07 and 0.22 ± 0.09) and between MFD and CL high (0.49 ± 0.06). Cashmere weight has increased 2.6 g per year (P = 0.017) while cashmere MFD has not decreased significantly (P = 0.066). There has also been no significant increase in cashmere length (P > 0.3). Changes in the average selection index since 2019 indicated additional economic worth of 10% (P = 0.017). Various body dimensional characteristics were measured. Heart girth measurement accounted for 80% of the variance in live weight indicating girth would be a useful field measurement method in remote regions. Given the positive phenotypic correlation between cashmere production and MFD continuing objective measurement of cashmere production and MFD are essential for future improvements in economic benefits for farmers.

Towards a Field-Theory based Relativistic Quantum Information

We present our program for the development of quantum informational concepts in relativistic systems in terms of the unequal-time correlation functions of quantum fields. We employ two formalisms that provide the basis for further developments. (i) The Quantum Temporal Probabilities (QTP) Method for quantum field measurements and (ii) the Closed-Time-Path (CTP) formalism for causal time evolutions. We present the main ideas of QTP and we show how it relates to the CTP formalism, allowing us to express concepts of measurement theory in terms of path-integrals. We also present many links of our program to non-equilibrium quantum field theories. Details can be found in a recent paper by the authors [1].

Assessment of Indoor Thermal Condition on Traditional Vernacular Masjid: A Case Study on Masjid Kampung Laut, Malaysia

Traditional vernacular architectures in Malaysia include public buildings such as a masjid were designed with the tropical climate in mind and have proven to be an excellent example of providing indoor thermal comfort to the occupants. It is a naturally ventilated building being greatly influenced by the building designs. In traditional vernacular architecture, the roof is the main building enclosure that contributes to the total heat gain. Hence, the research aims to assess the indoor thermal condition of Masjid Kampung Laut, Kelantan, the first traditional vernacular masjid in Malaysia. Data were collected using the method of field measurement to evaluate the indoor comfort level of the masjid, in terms of indoor air temperature, air velocity, and relative humidity. The results demonstrate that the average indoor air temperature is acceptable and Masjid Kampung Laut responded favorably to the local climate. However, it is believed that with an increase of 0.4m/s to 1.2m/s of air movement, will further enhance indoor thermal comfort. Therefore, the findings can guide further thermal comfort prediction studies for other naturally ventilated buildings. Several other potential passive design strategies for roof design are proposed in this study to achieve acceptable indoor thermal comfort conditions for the masjid in Malaysia.

Transverse Velocity Field Measurements in High-resolution Solar Images Based on Deep Learning

To address the problem of the low accuracy of transverse velocity field measurements for small targets in high-resolution solar images, we proposed a novel velocity field measurement method for high-resolution solar images based on PWCNet. This method transforms the transverse velocity field measurements into an optical flow field prediction problem. We evaluated the performance of the proposed method using the Hα and TiO data sets obtained from New Vacuum Solar Telescope observations. The experimental results show that our method effectively predicts the optical flow of small targets in images compared with several typical machine- and deep-learning methods. On the Hα data set, the proposed method improves the image structure similarity from 0.9182 to 0.9587 and reduces the mean of residuals from 24.9931 to 15.2818; on the TiO data set, the proposed method improves the image structure similarity from 0.9289 to 0.9628 and reduces the mean of residuals from 25.9908 to 17.0194. The optical flow predicted using the proposed method can provide accurate data for the atmospheric motion information of solar images. The code implementing the proposed method is available on https://github.com/lygmsy123/transverse-velocity-field-measurement.

Study on Deformation Characteristics of Retaining Structures under Coupled Effects of Deep Excavation and Groundwater Lowering in the Affected Area of Fault Zones

In order to study the deformation characteristics of the retaining structure under the coupled effect of excavation and dewatering in the affected area of fault zones, this paper takes a deep excavation project in the F1322 fault zone influence area in Shenzhen as an example. The research methods of theoretical analysis, numerical simulation and field measurement are used to conduct in-depth research on the deformation of the retaining structure caused by the excavation and dewatering of the foundation pit. The results show that considering the coupled effect of dewatering in the foundation pit, the energy method based on elastic theory is more accurate in solving the deformation of the retaining pile. By comparing and analyzing the theoretical calculation results, numerical analysis results, and field measurement values, we found that the numerical laws of the three are basically the same. Simplified calculations that only consider rotational deformation and ignore the translational deformation of the wall lead to large deviations between the theoretical calculation results and the measured values of the wall bottom deformation. In order to reduce the deviation between numerical results and measured values, the construction of the foundation pit should strictly adopt measures such as “sectional excavation, avoiding peripheral loads, and optimizing construction deployment”, strengthen construction monitoring, and reduce the impact on the deformation of the retaining pile. The maximum deformation growth rate k (ΔSmax/Δ) of the retaining pile decreases approximately exponentially with the increase of the structural stiffness parameters (E and I) and the embedment ratio within a certain range. The sensitivity analysis of the lateral displacement of the retaining pile to different geological parameters is conducted, and the sensitivity factors of the geological parameters to the deformation of the retaining structure are obtained, namely the maximum internal friction angle, followed by the cohesion, and the elastic modulus is the smallest. Based on the original design plan, an optimization of the excavation design is proposed by reducing the stiffness of the support structure. Therefore, the research findings in this paper have significant theoretical and practical implications for the engineering design of excavation projects located in fault zones. By optimizing the excavation support system, not only can standardized construction procedures be achieved, but also investment costs can be reduced, and construction time shortened, which fully aligns with the current safety, economic, and sustainable design principles of excavation projects aiming to conserve resources.

Evaluation of Hybrid Soft Computing Model’s Performance in Estimating Wave Height

In coastal and port engineering, wind-generated waves have always been a crucial, fundamental, and important topic. As a result, various methods for estimating wave parameters, including field measurement and numerical methods, have been proposed over time. This study evaluates the wave height at Sri-Lanka Hambantota Port using soft computing models such as Artificial Neural Networks (ANNs) and the M5 model tree (M5MT). In order to overcome its nonstationarity, the primary wave height time series were divided into subtime series using the wavelet transform. The collected subtime series were then utilized as input data for ANN and M5MT in order to determine the wave height. For the sake of the model performance, the daily wind and wave data from the Acoustic Wave and Current (AWAC) sensor for Hambantota Port in 2020 and Sanmen Bay in 2017 were used in this study. The training state utilizes 80% of the available data, while the test state uses 20%. The Root Mean Square Error (RMSE) of the ANN, M5, WANN, and Wavelet-M5 models in the Hambantota Port for the test stage are 0.12, 0.11, 0.04, and 0.06, respectively. While in Sanmen Bay, the RMSE of the ANN, M5, WANN, and Wavelet-M5 models for the test stage are 0.14, 0.16, 0.06, and 0.08, respectively. According to the findings of this study, the accuracy of WANN and Wavelet-M5 hybrid models in evaluating wave height is superior to that of classic ANN and M5MT, and it is recommended that WANN and Wavelet-M5 hybrid models be used to estimate wave height.

Stray Magnetic Field Measurement Method of Magnetic Hysteresis Curve of Open-Ended Sensor and Actuator Cores

In the design and development of measurement systems, such as magnetometric security systems or sophisticated devices such as satellites, it is necessary to consider the magnetic properties of all its parts and components, especially if it contains any magnetometric subsystem. The magnetic parameters of the materials are generally well described by the manufacturers in relation to their unprocessed raw state. However, their magnetic properties change as the subsequent machining or heat treatment is performed. These behavioral reactions of the material may lead to changes in its hysteresis during the magnetization cycles. This effect is necessary to consider, especially in the case of metallic ribbons, the magnetic characteristics of which are usually estimated by measurements performed on toroidal cores. Since the magnetic properties of a toroidal core differ from the magnetic properties of the preferably used open-ended samples, the corresponding measurement method needs to be used to determine its magnetic characteristics. Therefore, in the proposed article, the authors present a stray magnetic field-based method and measuring workstation intended to measure the magnetic hysteresis curves of the ferromagnetic open-ended samples used in the applications concerning the magnetometric systems and stabilization subsystems of small satellites. The physical background of the measurement method is described in detail, as well as the hardware and software used. The magnetic hysteresis curves of a small satellite electromagnetic actuator were measured as an example of an open-ended ferromagnetic component produced from amorphous ribbons, the permeability of which differs in comparison to manufacturer-stated permeability of raw amorphous material. The results are supplemented by measurements of the core characteristics of the used magnetometer probe, as well as by the characteristics of the semi-produced materials used for the production of both investigated cores. The primary advantage of the presented measurement method lies in the ability of design validation prior to the production of the final component and its assembly.

Study on the Vertical Vibration Comfort of Prefabricated Skyscraper Steel-Concrete Composite Industrial Plant

Steel-concrete composite structure is widely used in the present skyscraper industrial plant. This type of structure has a lot of advantages, such as high structural strength, efficient construction etc. However, the stiffness of this composite structure is lower than that of steel structures or reinforced-concrete structure, especially in the skyscraper industrial plant. The skyscraper industrial plant has a large span and high floor height, which means that the vibration comfort issues must be considered. This paper takes the actual skyscraper industrial plant under construction as the background, adopts the two methods of field measurement and finite element simulation, to obtain the first order vertical self-vibration frequency value of the steel-concrete composite slabs. The results show that the value is within the allowable range of error.

3-D Positioning Method of Pipeline Robots Based on a Rotating Permanent Magnet Mechanical Antenna

At present, the 3-D positioning of pipeline robots is limited by complex structures, large device sizes, and difficulties in the miniaturization of the sensor array. In this article, a multipoint magnetic field measurement method (MFM) is proposed for the spatial positioning of pipeline robots. The method can effectively obtain the 3-D coordinate positioning of pipeline robots in a short range, without complex sensor arrays, and without knowing the direction of the pipeline in advance. Furthermore, to address the problem in which weak magnetic field value is very susceptible to background noise and ferromagnetic interference in the environment, a dislocation superposition method (DSM) is developed to process the measured signals. In the MFM, a rotating permanent magnet mechanical antenna is used as the transmitter of low-frequency magnetic signals due to its advantages of small size, low energy consumption, and high radiation efficiency. Moreover, a single three-axis fluxgate sensor is used to measure the magnetic signal at multiple points. Finally, to verify the superiority of the proposed MFM and DSM, experiments are carried out in a seabed engineering laboratory. The test results show that the average absolute error of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${x}$ </tex-math></inline-formula> -axis positioning is 0.04 m, the average absolute error of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${y}$ </tex-math></inline-formula> -axis positioning is 0.01 m, and the average absolute error of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${z}$ </tex-math></inline-formula> -axis positioning is 0.07 m.

Discussion on the Relationship between Debris Flow Provenance Particle Characteristics, Gully Slope, and Debris Flow Types along the Karakoram Highway

Debris flow, the most extensive and most severe geological hazard along the Karakoram Highway, frequently blocks the Karakoram Highway. Based on the methods of field measurement, indoor statistical analysis and theoretical research, this paper discusses the relationship between the four types of debris flow along the Karakoram Highway. The four types are the rain type, the rain glacier type, the glacier ice lake break type and the freeze–thaw type, and their particle characteristics and gully slope are also considered in the discussion. The results are as follows: (1) The provenance particle size of debris flow is controlled by the type of debris flow. Generally, the provenance average particle equivalent diameter of the debris flow induced by the glacier ice lake type is relatively small, followed by the freeze–thaw type and glacier ice lake break type, and the equivalent diameter of the debris flow induced by the rain type is relatively large; (2) The gully slope coefficient of the debris flow C along the Karakoram Highway is greater than 1, and it increases with the increase in gully slope α, that is, the larger C is, the steeper the gully slope will be; (3) The gully slope coefficient C and the average particle equivalent diameter D of the four types of debris flow are distributed in the ellipse with them as the axis. This ellipse quantitatively describes the relationship between the gully slope of the four types of debris flow and the corresponding provenance particle characteristics. This paper analyzes the formation and causes of debris flow along the Karakoram Highway. It accurately understands the scientific connotation of debris flow formation in the surface matrix layer and improves the diversity, stability, and sustainability of the ecosystem. The paper also proposes ideas and suggestions for promoting the ecological protection and restoration of the Karakoram Highway. Therefore, the research has a certain theoretical significance and practical application value for the appropriate selection and rational design of the debris flow prevention projects along the China–Pakistan Highway.

An improved stochastic subspace modal identification method considering uncertainty quantification

This paper develops a novel stochastic subspace modal identification method in which the uncertainty quantification of structural modal parameters is considered. On the basis of a 4-degree-of-freedom (4DOF) simulation model, the detailed procedure of the proposed approach is first demonstrated. Then, by conducting a series of numerical simulations on the 4DOF model, the accuracy and effectiveness of the proposed method are verified for the cases of structural responses containing high-level noise and non-stationary properties. Furthermore, the proposed approach is applied to field measurements on a 260-m-high supertall building under ambient excitations, and the estimated modal parameters are further compared with the results determined by the forced vibration test performed on the building. The good agreement between these two sets of estimated modal parameters verifies the applicability and effectiveness of the developed modal identification method for field measurements. The objective of this study is to provide an efficient instrument for the accurate modal identification of civil structures.

Investigation of estuarine mangrove ecosystem changes using unmanned aerial vehicle images: Case study in Xuan Thuy National Park (Vietnam)

This paper introduces an optimized approach for the integration of digital surface models (DSM), orthophotos, and point clouds constructed by unmanned aerial vehicle (UAV) photogrammetry for mapping topography and canopy height of mangrove forests. Object-oriented classification has been applied to orthophoto to accurately determine open mudflats. Elevation points of the point cloud that fall within open mudflats are used to linearly interpolate a digital terrain model (DTM) of mangroves, which is generally unavailable due to the great challenge for both remote sensing and field measurement methods. A canopy height model (CHM) of mangroves is generated by subtracting the DTM from the DSM. Consequently, the constructed CHM has higher accuracy compared to previous studies using only one fixed ground elevation or the water mean level to represent the irregular topography of mangrove forests. The optimized approach is applied to UAV images acquired in 2014 and 2020 to investigate topographical changes and vertical growth of mangroves in a 4 km 2 estuarine area of Xuan Thuy national park in Vietnam. Results show that the study area is vertically eroded with the rate of -0.015 m year −1 due to the groundwater flows, while the vertical growths of the two dominant mangrove species Kandelia obovata and the Sonneratia caseolaris are 0.242 m year −1 and 0.565 m year −1, respectively. A very weak correlation between topographical changes and vertical growth (R = -0.286) is the empirical evidence for the insignificant influence of erosion and/or deposition on the mangrove growth. This study used sole UAV-SfM method to provide comprehensive information on both the topography and canopy structure of fragmented mangrove forests. A combination of LiDAR data and UAV photogrammetry is recommended for dense mangrove inventory.

Efektivitas Pertanian Perkotaan (Urban Farming) dalam Mitigasi Urban Heat Island di Kawasan Perkotaan

Title: The Effectiveness of Urban Farming for Urban Heat Island Mitigation in Urban Areas Urban farming and greenery are the emerging idea in maintaining a sustainable environment in term of economic, social, and environmental aspects. The existence of urban farming is primarily aimed to maintaining food security for the community, especially in the pandemic crisis. Moreover, the high rate of urbanization also affects the transformation of urban space, which is one of the factors causing climate change. The integration of vegetation in urban area is considered to be a strategy to maintain the quality of the microclimate and reducing the intensity of the urban heat island. This study aims to observe the effectiveness of urban farming/greenery in maintaining the microclimate quality at District of Tompeyan Yogyakarta, which is well known for their urban farming integrated inside the residential areas. Using field measurement and simulation methods, the results show that the vegetation in the outdoor space have a significant impact, especially related to surface temperature and air temperature. The simulation using ENVI-MET shows that there is an increase in the thermal comfort index in the areas with vegetation, although it has not yet reached the ideal value. This represents how the role of vegetation in urban heat island mitigation to provide a comfortable and sustainable environment. The study can be further developed regarding the impact of other physical elements on microclimate to be the foundation for spatial planning recommendations.

Panoramic Digital Image Correlation for 360-Deg Full-Field Displacement Measurement

In full-field 3D displacement measurement, stereo digital image correlation (Stereo-DIC) has strong capabilities. However, as a result of difficulties with stereo camera calibration and surface merging, 360-deg panoramic displacement measurements remain a challenge. This paper proposes a panoramic displacement field measurement method in order to accurately measure the shape and panoramic displacement field of complex shaped objects with natural textures. The proposed method is based on the robust subset-based DIC algorithm and the well-known Zhang’s calibration method to reconstruct the 3D shape and estimate the full-field displacements of a complex surface from multi-view stereo camera pairs. The method is used in the determination of the scale factor of the 3D reconstructed surface and the stitching of multiple 3D reconstructed surfaces with the aid of the laser point cloud data of the object under test. Based on a discussion of the challenges faced by panoramic DIC, this paper details the proposed solution and describes the specific algorithms implemented. The paper tests the performance of the proposed method using an experimental system with a 360-deg six camera setup. The system was evaluated by measuring the rigid body motion of a cylindrical log sample with known 3D point cloud data. The results confirm that the proposed method is able to accurately measure the panoramic shape and full-field displacement of objects with complex morphologies.