bluuebunny/crossref_metadata_2025 huggingface dataset:
Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China
Authors: Wang Yunqian , Yang Jing , Chen Yaning , Su Zhicheng , Li Baofu , Guo Hao , De Maeyer Philippe
Published: July 2020

Droughts are one of the costliest natural disasters. Reliable drought monitoring and prediction are valuable for drought relief management. This study monitors and predicts droughts in Xinjiang, an arid area in China, based on the three drought indicators, i.e., the Standardized Precipitation Index (SPI), the Standardized Soil Moisture Index (SSMI) and the Multivariate Standardized Drought Index (MSDI). Results indicate that although these three indicators could capture severe historical drought events in the study area, the spatial coverage, persistence and severity of the droughts would vary regarding different indicators. The MSDI could best describe the overall drought conditions by incorporating the characteristics of the SPI and SSMI. For the drought prediction, the predictive skill of all indicators gradually decayed with the increasing lead time. Specifically, the SPI only showed the predictive skill at a 1-month lead time, the MSDI performed best in capturing droughts at 1- to 2-month lead times and the SSMI was accurate up to a 3-month lead time owing to its high persistence. These findings might provide scientific support for the local drought management.
Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard
Authors: Bellvert Joaquim , Jofre-Ĉekalović Christian , Pelechá Ana , Mata Mercè , Nieto Hector
Published: July 2020

In viticulture, detailed spatial information about actual evapotranspiration (ETa) and vine water status within a vineyard may be of particular utility when applying site-specific, precision irrigation management. Over recent decades, extensive research has been carried out in the use of remote sensing energy balance models to estimate and monitor ETa at the field level. However, one of the major limitations remains the coarse spatial resolution in the thermal infrared (TIR) domain. In this context, the recent advent of the Sentinel missions of the European Space Agency (ESA) has greatly improved the possibility of monitoring crop parameters and estimating ETa at higher temporal and spatial resolutions. In order to bridge the gap between the coarse-resolution Sentinel-3 thermal and the fine-resolution Sentinel-2 shortwave data, sharpening techniques have been used to downscale the Sentinel-3 land surface temperature (LST) from 1 km to 20 m. However, the accurate estimates of high-resolution LST through sharpening techniques are still unclear, particularly when intended to be used for detecting crop water stress. The goal of this study was to assess the feasibility of the two-source energy balance model (TSEB) using sharpened LST images from Sentinel-2 and Sentinel-3 (TSEB-PTS2+3) to estimate the spatio-temporal variability of actual transpiration (T) and water stress in a vineyard. T and crop water stress index (CWSI) estimates were evaluated against a vine water consumption model and regressed with in situ stem water potential (Ψstem). Two different TSEB approaches, using very high-resolution airborne thermal imagery, were also included in the analysis as benchmarks for TSEB-PTS2+3. One of them uses aggregated TIR data at the vine+inter-row level (TSEB-PTairb), while the other is based on a contextual method that directly, although separately, retrieves soil and canopy temperatures (TSEB-2T). The results obtained demonstrated that when comparing airborne Trad and sharpened S2+3 LST, the latter tend to be underestimated. This complicates the use of TSEB-PTS2+3 to detect crop water stress. TSEB-2T appeared to outperform all the other methods. This was shown by a higher R2 and slightly lower RMSD when compared with modelled T. In addition, regressions between T and CWSI-2T with Ψstem also produced the highest R2.
Elucidating the Life Cycle of Warm-Season Mesoscale Convective Systems in Eastern China from the Himawari-8 Geostationary Satellite
Authors: Chen Dandan , Guo Jianping , Yao Dan , Feng Zhe , Lin Yanluan
Published: July 2020

The life cycle of mesoscale convective systems (MCSs) in eastern China is yet to be fully understood, mainly due to the lack of observations of high spatio-temporal resolution and objective methods. Here, we quantitatively analyze the properties of warm-season (from April to September of 2016) MCSs during their lifetimes using the Himawari-8 geostationary satellite, combined with ground-based radars and gauge measurements. Generally, the occurrence of satellite derived MCSs has a noon peak over the land and an early morning peak over the ocean, which is several hours earlier than the precipitation peak. The developing and dissipative stages are significantly longer as total durations of MCSs increase. Aided by three-dimensional radar mosaics, we find the fraction of convective cores over northern China is much lower when compared with those in central United States, indicating that the precipitation produced by broad stratiform clouds may be more important for northern China. When there exists a large amount of stratiform precipitation, it releases a large amount of latent heat and promotes the large-scale circulations, which favors the maintenance of MCSs. These findings provide quantitative results about the life cycle of warm-season MCSs in eastern China based on multiple data sources and large numbers of samples.
Detection and Avoidance of Atmospheric Aviation Hazards Using Infrared Spectroscopic Imaging
Authors: Prata Fred
Published: July 2020

Atmospheric aviation hazards due to turbulence, poor visibility, high-altitude ice crystals and volcanic ash and gases are known problems for aviation and can cause both economic damage to engines and airframes as well as having the potential to cause the engines to stall in flight with possible loss of the aircraft. Current space- and ground-based assets allow observations of some of these hazards and their detection and movement can be forecast using modern computer weather forecasting and dispersion models. These largely strategic resources have proved very valuable but somewhat limited in the tactical sense, where commercial aviation must make rapid decisions in order to avoid an undetected or un-forecast hazardous cloud or atmospheric condition. Here we investigate the use of multi-spectral (two channels or more) infrared imaging from an aircraft perspective, and show that it is possible to use this information to provide tactical awareness tools for use by aviators and other stakeholders. This study has a strong focus on volcanic ash as an aviation hazard but also includes applications to some forms of clear air turbulence (CAT), to high-altitude ice crystals (HAIC) and windblown desert dust. For volcanic ash detection, the research shows that current two-channel satellite-based infrared techniques provide acceptable discrimination and quantification, but two-channel infrared imaging airborne solutions have significant drawbacks. Because of the limitation of two-channel methods, infrared spectroscopic techniques are investigated and it is shown they can significantly reduce the confusion caused by meteorological hydrometeors and potentially provide information on other atmospheric hazards to aviation, such as HAIC and some forms of turbulence. Not only are these findings important for on-going efforts to incorporate IR imaging onto commercial aircraft, but they also have relevance to the increasing use of drones for hazard detection, research and monitoring. Uncooled infrared bolometric imaging cameras with spectroscopic capabilities are available and we describe one such system for use on airborne platforms.
Triple-Frequency GPS Un-Differenced and Uncombined PPP Ambiguity Resolution Using Observable-Specific Satellite Signal Biases
Authors: Liu Gen , Guo Fei , Wang Jian , Du Mingyi , Qu Lizhong
Published: July 2020

The new generations of global navigation satellite system (GNSS) space vehicles can transmit three or more frequency signals. Multi-frequency observations bring a significant improvement to precise point positioning ambiguity resolution (PPP AR). However, the multi-frequency satellite code and phase biases need to be properly handled before conducting PPP AR. The traditional satellite bias correction methods, for example, the commonly used differential code biases (DCB), are limited to the dual-frequency ionosphere-free (IF) case and become more and more difficult to extend to multi-GNSS and multi-frequency cases. In this contribution, we propose the observable-specific signal bias (OSB) correction method for un-differenced and uncombined (UDUC) PPP AR. The OSB correction method, which includes observable-specific satellite code and phase bias correction, can directly apply kinds of OSBs to GNSS original observation data, thus, it is more appropriate for multi-GNSS and multi-frequency cases. In order to verify the performance of multi-frequency UDUC-PPP AR based on the OSB correction method, triple-frequency GPS observation data provided by 142 Multi-GNSS Experiment (MGEX) stations were used to estimate observable-specific satellite phase biases at the PPP service end and some of them were also used to conduct AR at the PPP user end. The experiment results showed: the averaged time-to-first-fix (TTFF) of triple-frequency GPS kinematic UDUC-PPP AR with observable-specific satellite code bias (SCB) corrections could reach about 22 min with about 29% improvement, compared with that without observable-specific SCB corrections; TTFF of triple-frequency static UDUC-PPP AR with observable-specific phase-specific time-variant inter-frequency clock bias (IFCB) corrections took about 15.6 min with about 64.3% improvement, compared with that without observable-specific IFCB corrections.
Mapping Coastal Dune Landscape through Spectral Rao’s Q Temporal Diversity
Authors: Marzialetti Flavio , Di Febbraro Mirko , Malavasi Marco , Giulio Silvia , Acosta Alicia Teresa Rosario , Carranza Maria Laura
Published: July 2020

Coastal dunes are found at the boundary between continents and seas representing unique transitional mosaics hosting highly dynamic habitats undergoing substantial seasonal changes. Here, we implemented a land cover classification approach specifically designed for coastal landscapes accounting for the within-year temporal variability of the main components of the coastal mosaic: vegetation, bare surfaces and water surfaces. Based on monthly Sentinel-2 satellite images of the year 2019, we used hierarchical clustering and a Random Forest model to produce an unsupervised land cover map of coastal dunes in a representative site of the Adriatic coast (central Italy). As classification variables, we used the within-year diversity computed through Rao’s Q index, along with three spectral indices describing the main components of the coastal mosaic (i.e., Modified Soil-adjusted Vegetation Index 2—MSAVI2, Normalized Difference Water Index 2—NDWI2 and Brightness Index 2—BI2). We identified seven land cover classes with high levels of accuracy, highlighting different covariates as the most important in differentiating them. The proposed framework proved effective in mapping a highly seasonal and heterogeneous landscape such as that of coastal dunes, highlighting Rao’s Q index as a sound base for natural cover monitoring and mapping. The applicability of the proposed framework on updated satellite images emphasizes the procedure as a reliable and replicable tool for coastal ecosystems monitoring.
Identifying Hydro-Geomorphological Conditions for State Shifts from Bare Tidal Flats to Vegetated Tidal Marshes
Authors: Wang Chen , Smolders Sven , Callaghan David P. , van Belzen Jim , Bouma Tjeerd J. , Hu Zhan , Wen Qingke , Temmerman Stijn
Published: July 2020

High-lying vegetated marshes and low-lying bare mudflats have been suggested to be two stable states in intertidal ecosystems. Being able to identify the conditions enabling the shifts between these two stable states is of great importance for ecosystem management in general and the restoration of tidal marsh ecosystems in particular. However, the number of studies investigating the conditions for state shifts from bare mudflats to vegetated marshes remains relatively low. We developed a GIS approach to identify the locations of expected shifts from bare intertidal flats to vegetated marshes along a large estuary (Western Scheldt estuary, SW Netherlands), by analyzing the interactions between spatial patterns of vegetation biomass, elevation, tidal currents, and wind waves. We analyzed false-color aerial images for locating marshes, LIDAR-based digital elevation models, and spatial model simulations of tidal currents and wind waves at the whole estuary scale (~326 km²). Our results demonstrate that: (1) Bimodality in vegetation biomass and intertidal elevation co-occur; (2) the tidal currents and wind waves change abruptly at the transitions between the low-elevation bare state and high-elevation vegetated state. These findings suggest that biogeomorphic feedback between vegetation growth, currents, waves, and sediment dynamics causes the state shifts from bare mudflats to vegetated marshes. Our findings are translated into a GIS approach (logistic regression) to identify the locations of shifts from bare to vegetated states during the studied period based on spatial patterns of elevation, current, and wave orbital velocities. This GIS approach can provide a scientific basis for the management and restoration of tidal marshes.
Hierarchical Modeling of Street Trees Using Mobile Laser Scanning
Authors: Xu Jingzhong , Shan Jie , Wang Ge
Published: July 2020

This paper proposes a novel method to reconstruct hierarchical 3D tree models from Mobile Laser Scanning (MLS) point clouds. Starting with a neighborhood graph from the tree point clouds, the method treats the root point of the tree as a source point and determines an initial tree skeleton by using the Dijkstra algorithm. The initial skeleton lines are then optimized by adjusting line connectivity and branch nodes based on morphological characteristics of the tree. Finally, combined with the tree point clouds, the radius of each branch skeleton node is estimated and flat cones are used to simulate tree branches. A local triangulation method is used to connect the gaps between two joint flat cones. Demonstrated by street trees of different sizes and point densities, the proposed method can extract street tree skeletons effectively, generate tree models with higher fidelity, and reconstruct trees with different details according to the skeleton level. It is found out the tree modeling error is related to the average point spacing, with a maximum error at the coarsest level 6 being about 0.61 times the average point spacing. The main source of the modeling error is the self-occlusion of trees branches. Such findings are both theoretically and practically useful for generating high-precision tree models from point clouds. The developed method can be an alternative to the current ones that struggle to balance modeling efficiency and modeling accuracy.
Validation of the EGSIEM-REPRO GNSS Orbits and Satellite Clock Corrections
Authors: Sušnik Andreja , Grahsl Andrea , Arnold Daniel , Villiger Arturo , Dach Rolf , Beutler Gerhard , Jäggi Adrian
Published: July 2020

In the framework of the European Gravity Service for Improved Emergency Management (EGSIEM) project, consistent sets of state-of-the-art reprocessed Global Navigation Satellite System (GNSS) orbits and satellite clock corrections have been generated. The reprocessing campaign includes data starting in 1994 and follows the Center for Orbit Determination in Europe (CODE) processing strategy, in particular exploiting the extended version of the empirical CODE Orbit Model (ECOM). Satellite orbits are provided for Global Positioning System (GPS) satellites since 1994 and for Globalnaya Navigatsionnaya Sputnikovaya Sistema (GLONASS) since 2002. In addition, a consistent set of GPS satellite clock corrections with 30 s sampling has been generated from 2000 and with 5 s sampling from 2003 onwards. For the first time in a reprocessing scheme, GLONASS satellite clock corrections with 30 s sampling from 2008 and 5 s from 2010 onwards were also generated. The benefit with respect to earlier reprocessing series is demonstrated in terms of polar motion coordinates. GNSS satellite clock corrections are validated in terms of completeness, Allan deviation, and precise point positioning (PPP) using terrestrial stations. In addition, the products herein were validated with Gravity Recovery and Climate Experiment (GRACE) precise orbit determination (POD) and Satellite Laser Ranging (SLR). The dataset is publicly available.
A Versatile Illumination System for Real-Time Terahertz Imaging
Authors: Perraud Jean-Baptiste , Chopard Adrien , Guillet Jean-Paul , Gellie Pierre , Vuillot Antoine , Mounaix Patrick
Published: July 2020

Terahertz technologies are attracting strong interest from high-end industrial fields, and particularly for non-destructive-testing purposes. Currently lacking compactness, integrability as well as adaptability for those implementations, the development and commercialisation of more efficient sources and detectors progressively ensure the transition toward applicative implementations, especially for real-time full-field imaging. In this work, a flexible illumination system, based on fast beam steering has been developed and characterized. Its primary goal is to suppress interferences induced by the coherence length of certain terahertz sources, spoiling terahertz images. The second goal is to ensure an enhanced signal-to-noise ratio on the detector side by the full use and optimized distribution of the available power. This system provides a homogeneous and adjustable illumination through a simplified setup to guarantee optimum real-time imaging capabilities, tailored to the sample under inspection. Working toward industrial implementations, different illumination process are conveniently assessed as a result of the versatility of this method.
Space Environmental Chamber for Planetary Studies
Authors: Vakkada Ramachandran Abhilash , Nazarious Miracle Israel , Mathanlal Thasshwin , Zorzano María-Paz , Martín-Torres Javier
Published: July 2020

We describe a versatile simulation chamber that operates under representative space conditions (pressures from < 10−5 mbar to ambient and temperatures from 163 to 423 K), the SpaceQ chamber. This chamber allows to test instrumentation, procedures, and materials and evaluate their performance when exposed to outgassing, thermal vacuum, low temperatures, baking, dry heat microbial reduction (DHMR) sterilization protocols, and water. The SpaceQ is a cubical stainless-steel chamber of 27,000 cm3 with a door of aluminum. The chamber has a table which can be cooled using liquid nitrogen. The chamber walls can be heated (for outgassing, thermal vacuum, or dry heat applications) using an outer jacket. The chamber walls include two viewports and 12 utility ports (KF, CF, and Swagelok connectors). It has sensors for temperature, relative humidity, and pressure, a UV–VIS–NIR spectrometer, a UV irradiation lamp that operates within the chamber as well as a stainless-steel syringe for water vapor injection, and USB, DB-25 ports to read the data from the instruments while being tested inside. This facility has been specifically designed for investigating the effect of water on the Martian surface. The core novelties of this chamber are: (1) its ability to simulate the Martian near-surface water cycle by injecting water multiple times into the chamber through a syringe which allows to control and monitor precisely the initial relative humidity inside with a sensor that can operate from vacuum to Martian pressures and (2) the availability of a high-intensity UV lamp, operating from vacuum to Martian pressures, within the chamber, which can be used to test material curation, the role of the production of atmospheric radicals, and the degradation of certain products like polymers and organics. For illustration, here we present some applications of the SpaceQ chamber at simulated Martian conditions with and without atmospheric water to (i) calibrate the ground temperature sensor of the Engineering Qualification Model of HABIT (HabitAbility: Brines, Irradiation and Temperature) instrument, which is a part of ExoMars 2022 mission. These tests demonstrate that the overall accuracy of the temperature retrieval at a temperature between −50 and 10 °C is within 1.3 °C and (ii) investigate the curation of composite materials of Martian soil simulant and binders, with added water, under Martian surface conditions under dry and humid conditions. Our studies have demonstrated that the regolith, when mixed with super absorbent polymer (SAP), water, and binders exposed to Martian conditions, can form a solid block and retain more than 80% of the added water, which may be of interest to screen radiation while maintaining a low weight.
Robust Finger-vein ROI Localization Based on the 3σ Criterion Dynamic Threshold Strategy
Authors: Yao Qiong , Song Dan , Xu Xiang
Published: July 2020

Region of interest (ROI) localization is one of the key preprocessing technologies for a finger-vein identification system, so an effective ROI definition can improve the matching accuracy. However, due to the impact of uneven illumination, equipment noise, as well as the distortion of finger position, etc., these make accurate ROI localization a very difficult task. To address these issues, in this paper, we propose a robust finger-vein ROI localization method, which is based on the 3 σ criterion dynamic threshold strategy. The proposed method includes three main steps: First, the Kirsch edge detector is introduced to detect the horizontal-like edges in the acquired finger-vein image. Then, the obtained edge gradient image is divided into four parts: upper-left, upper-right, lower-left, and lower-right. For each part of the image, the three-level dynamic threshold, which is based on the 3 σ criterion of the normal distribution, is imposed to obtain more distinct and complete edge information. Finally, through labeling the longest connected component at the same horizontal line, two reliable finger boundaries, which represent the upper and lower boundaries, respectively, are defined, and the ROI is localized in the region between these two boundaries. Extensive experiments are carried out on four different finger-vein image datasets, including three publicly available datasets and one of our newly developed finger-vein datasets with 37,080 finger-vein samples and 1030 individuals. The experimental results indicate that our proposed method has very competitive ROI localization performance, as well as satisfactory matching results on different datasets.
Damage Detection of Bridges under Environmental Temperature Changes Using a Hybrid Method
Authors: Wang Xiang , Gao Qingfei , Liu Yang
Published: July 2020

Principal component analysis (PCA)-based method is popular for detecting the damage of bridges under varying environmental temperatures. However, this method deletes some information when the damage features are projected in the direction of nonprincipal components; thus, the effectiveness of PCA-based methods will decrease if the deleted information is related to bridge damage. To address this issue, a hybrid method is proposed to detect the damage of bridges under environmental temperature changes. On one side, the PCA-based method is applied to deal with the nonprincipal components; on the other side, the Gaussian mixture method (GMM) is used to classify all the principal components into different clusters, and then the novel detection method is implemented to detect bridge damage for each cluster. In this way, all the damage feature information is saved and used to detect bridge damage. The numerical example and example of an actual bridge show that the proposed hybrid method is effective in detecting bridge damage under environmental temperature changes. The GMM is effective for classifying the natural monitoring frequency data of actual bridges, and the relationship between the natural frequencies of actual bridges and the environmental temperature is not always linear.
Can Ensemble Deep Learning Identify People by Their Gait Using Data Collected from Multi-Modal Sensors in Their Insole?
Authors: Moon Jucheol , Minaya Nelson Hebert , Le Nhat Anh , Park Hee-Chan , Choi Sang-Il
Published: July 2020

Gait is a characteristic that has been utilized for identifying individuals. As human gait information is now able to be captured by several types of devices, many studies have proposed biometric identification methods using gait information. As research continues, the performance of this technology in terms of identification accuracy has been improved by gathering information from multi-modal sensors. However, in past studies, gait information was collected using ancillary devices while the identification accuracy was not high enough for biometric identification. In this study, we propose a deep learning-based biometric model to identify people by their gait information collected through a wearable device, namely an insole. The identification accuracy of the proposed model when utilizing multi-modal sensing is over 99%.
Wi-SL: Contactless Fine-Grained Gesture Recognition Uses Channel State Information
Authors: Hao Zhanjun , Duan Yu , Dang Xiaochao , Liu Yang , Zhang Daiyang
Published: July 2020

In recent years, with the development of wireless sensing technology and the widespread popularity of WiFi devices, human perception based on WiFi has become possible, and gesture recognition has become an active topic in the field of human-computer interaction. As a kind of gesture, sign language is widely used in life. The establishment of an effective sign language recognition system can help people with aphasia and hearing impairment to better interact with the computer and facilitate their daily life. For this reason, this paper proposes a contactless fine-grained gesture recognition method using Channel State Information (CSI), namely Wi-SL. This method uses a commercial WiFi device to establish the correlation mapping between the amplitude and phase difference information of the subcarrier level in the wireless signal and the sign language action, without requiring the user to wear any device. We combine an efficient denoising method to filter environmental interference with an effective selection of optimal subcarriers to reduce the computational cost of the system. We also use K-means combined with a Bagging algorithm to optimize the Support Vector Machine (SVM) classification (KSB) model to enhance the classification of sign language action data. We implemented the algorithms and evaluated them for three different scenarios. The experimental results show that the average accuracy of Wi-SL gesture recognition can reach 95.8%, which realizes device-free, non-invasive, high-precision sign language gesture recognition.
A Conceptual Design of an Integrated Façade System to Reduce Embodied Energy in Residential Buildings
Authors: Pan Wen , Iturralde Kepa , Bock Thomas , Martinez Roberto Garay , Juez Olga Macias , Finocchiaro Pietro
Published: July 2020

(1) The overall energy requirement of a building may be impacted by the building design, the selection of materials, the construction methods, and lifecycle management. To achieve an optimum energy-efficiency level when dealing with a new building or renovation project, it is important to improve the entire construction process as it is not enough to merely focus on the operational phase. If conventional construction practices do not evolve, compromise, or adapt to necessary changes, then it becomes challenging to deliver an ultimate low energy building. (2) This paper demonstrates the trend of off-site prefabrication and its production principles and the notions of open-building design and Design for X, as well as offering an overview of the development of automation in construction, which provides both insights and evaluations based on the context of the research. (3) Three European Union Horizon 2020 research projects were evaluated, and the outcome of the projects served as the backbone for the research and inspired the design of the proposed integrated façade system. Two design scenarios were proposed to demonstrate the potential improvements that could be achieved in a new build as well as in renovation projects. (4) The research lays a foundation for establishing a larger cross-disciplinary collaboration in the future.
A Comparative Analysis between Global University Rankings and Environmental Sustainability of Universities
Authors: Muñoz-Suárez Manuel , Guadalajara Natividad , Osca José M.
Published: July 2020

Global University Rankings (GURs) intend to measure the performance of universities worldwide. Other rankings have recently appeared that evaluate the creation of environmental policies in universities, e.g., the Universitas Indonesia (UI) GreenMetric. This work aims to analyze the interaction between the Top 500 of such rankings by considering the geographical location of universities and their typologies. A descriptive analysis and a statistical logistical regression analysis were carried out. The former demonstrated that European and North American universities predominated the Top 500 of GURs, while Asian universities did so in the Top 500 of the UI GreenMetric ranking, followed by European universities. Older universities predominated the Top 500 of GURs, while younger ones did so in the Top 500 of the UI GreenMetric ranking. The second analysis demonstrated that although Latin American universities were barely present in the Top 500 of GURs, the probability of them appearing in the Top 500 of the UI GreenMetric ranking was 5-fold. We conclude that a low association exists between universities’ academic performance and their commitment to the natural environment in the heart of their institutions. It would be advisable for GURs to include environmental indicators to promote sustainability at universities and to contribute to climate change.
Self-Esteem and Motivation for Learning in Academic Achievement: The Mediating Role of Reasoning and Verbal Fluidity
Authors: Moyano Nieves , Quílez-Robres Alberto , Cortés Pascual Alejandra
Published: July 2020

The goal of the present study was to analyze the joint role that non-cognitive (motivation and self-esteem) and cognitive (verbal fluency and reasoning) factors play on academic achievement, both as a global score and in relation to specific subjects, such as language and literature and mathematics. We also analyzed the mediating role of cognitive factors. We recruited a sample of 133 primary education students (aged 6–9 years old) (47.6% girls, 52.6% boys), to whom various measures of the above-indicated variables were administered. Several predictive models were tested through a mediational regression analysis. The results indicated the relevance of intrinsic motivation together with self-esteem as predictors of academic achievement mediated by the cognitive abilities verbal fluency and reasoning. These relationships differed depending on the specific subject. We discuss the educational implications of these findings and emphasize, on the one hand, that academic achievement depends on both cognitive and non-cognitive factors and, on the other hand, the malleability of cognitive factors, as they seem to improve based on motivation and self-esteem.
Study of Major-Accident Risk Assessment Techniques in the Environmental Impact Assessment Process
Authors: Fuentes-Bargues José Luis , Bastante-Ceca Mª José , Ferrer-Gisbert Pablo Sebastián , González-Cruz Mª Carmen
Published: July 2020

Design, implementation, and operation of any project are affected by the environment where it is developed; at the same time, the project will influence the environment, since during its life cycle it can cause an impact on it. This impact can lead to social, economic, and environmental results. Directive 2014/52/EU, on the assessment of the effects of certain public and private projects on the environment, reflects the obligation for the project promoter to consider, in the Environmental Impact Study (EIS) of the project, their vulnerability (exposure and resilience) to major accidents and/or disasters, evaluating both the risk and their effects on the environment, in case these major accidents and/or disasters appear. The IEC 31.010:2019 Risk management—Risk assessment techniques standard defines 45 risk appreciation techniques that are useful when analysing the risks, in general. The objective of this paper is to review these 45 techniques, and establish which ones can be used for the assessment of accidents or disasters required in the specific environmental impact assessment process to accomplish with the regulation. After the revision, the authors propose five risks appreciation techniques that could be used for the assessment of major accidents and or disasters in projects for which EIA has to be carried out.
Is Built Environment Associated with Travel Mode Choice in Developing Cities? Evidence from Hanoi
Authors: Nguyen Thi Mai Chi , Kato Hironori , Phan Le Binh
Published: July 2020

This paper examines the association between the built environment (BE) and travel behavior in Hanoi, Vietnam. A multinomial logit model is used to analyze individuals’ choice of travel mode from a dataset collected via a questionnaire-based household travel survey in 2016 and the geospatial data of BE variables; the dataset contains 762 responses from local residents in ten districts of the Hanoi Metropolitan Area about their daily travel episodes. It also examines a spatial aggregation effect by comparing model performances among four buffering distances and ward-zones. The results showed that (1) a higher population density around an individual’s home is associated with more bus use and less motorbike and car use; (2) mixed land use around the home, average tax revenue near the home, and bus frequency at the workplace have positive relationships with bus ridership; (3) senior people, students, or unskilled laborers tend to use the bus; (4) the spatial aggregation bias significantly affects the estimation results; and (5) new immigrants tend to choose to reside in areas designed for automobile users. Finally, there are several policy implications for transit-oriented development (TOD) in Hanoi, including: (1) parking regulations and/or control strategies should be jointly incorporated into the Hanoi’s TOD policy; (2) Hanoi’s TOD policy should be carefully designed in terms of its scope of development site and type; and (3) a polycentric structure strategy only may not be sufficient for increasing public transit ridership.
What Constraints the Expansion of Urban Agriculture in Benin?
Authors: Houessou Mawuna Donald , van de Louw Mirte , Sonneveld Ben G. J. S.
Published: July 2020

Propelled by rapid urbanization, city administrations in low- and middle-income countries face a raft of challenges to secure food and nutrition for its poor urban dwellers. Urban agriculture (UA) seems a viable intervention to address urban food insecurity, however, experience has shown that urban gardens do not expand at the expected rate. Tackling this issue requires a deeper understanding of the main constraints that block UA expansion. Benin is not an exception; the country witnesses a breathtaking growth of its main cities that is in synchronization with a mounting food insecurity. Our research aims, therefore, to identify the main constraints for the expansion of UA in Benin, and adopt a three-pronged approach combined with a systematic literature review, a survey held among experienced urban gardeners, and in-depth interviews with stakeholders. Altogether, the synthesis shows a predominance of five main constraints: lack of land and tenure insecurity, insufficient government support, restricted market access, limited access to productive factors, and inequality issues. Specifically, while the review showed that most barriers are linked and could be tackled together, the survey indicated a political unwillingness which in our in-depth interviews is explained by the unperceived benefits of investing in UA and the lack of enforcement of urban development plans. We suggest that Beninese authorities and academics move in synchronization where the former coordinates the planning of urban gardens and the latter provides evidence to trigger public and private investments in UA. The findings could be the basis for further research on UA in West Africa and the wider continent.
Practical Application of the Industry 4.0 Concept in a Steel Company
Authors: Miśkiewicz Radosław , Wolniak Radosław
Published: July 2020

The primary aim of this paper was to present and analyze practical solutions of Industry 4.0 as applied in the Re Alloys company. The research question was whether the implementation of the digitization process based on Industry 4.0 resulted in changes to the organizational structure of the company and whether this brought about an improvement in the energy and material efficiency of the company. The research method used in the paper was the case study method. In view of the project’s results, we concluded that implementation of the new solution based on digitalization caused increased energy and material efficiency, often forced by external factors stemming from the operation of competitive markets. Technological changes also require the application of IT technologies and communication systems in managing production. Access to this information is also a chance to gain a competitive advantage.
Urban Expansion and the Dynamics of Farmers’ Livelihoods: Evidence from Bamenda, Cameroon
Authors: Gwan Akhere Solange , Kimengsi Jude Ndzifon
Published: July 2020

There is growing interest in the need to understand the link between urban expansion and farmers’ livelihoods in most parts of sub-Saharan Africa (SSA), including Cameroon. This paper undertakes a qualitative investigation of the effects of urban expansion on farmers’ livelihoods in Bamenda, a primate city in Cameroon. Taking into consideration two key areas—the Mankon–Bafut axis and the Nkwen Bambui axis—this study analyzes the trends and effects of urban expansion on farmers’ livelihoods with a view to identifying ways of making the process more beneficial to the farmers. Maps were used to determine the trend of urban expansion between 2000 and 2015. Twelve farmers drawn from the target sites were interviewed, while three focus group discussions were conducted. Thematic analysis was employed to analyze perceptions of the effects and coping strategies of farmers to urban expansion. Using the livelihoods approach, farmers’ livelihoods repertoires and portfolios were analyzed for the periods before and after urban expansion. Between 2000 and 2015, the surface area for farmlands in Bamenda II and Bamenda III reduced from 3540 ha to 2100 ha and 2943 ha to 1389 ha, respectively. This was followed by a corresponding increase in the surface area for settlements from 2100 ha to 3540 ha in Bamenda II and from 1389 ha to 2943 ha in Bamenda III. The expansion process has affected farmers’ income, farm sizes and farming types, natural capital, and their standards of living. Most of the farmers have employed coping measures to include the diversification of income opportunities, social networking, and agricultural intensification. Future efforts could target land use regulations to stem the uncontrolled rate of settlement expansion, intensive farming to increase productivity and processing to improve the value chain in a bid to increase income levels and provide long-term food self-sufficiency. This paper suggests further quantitative investigations to ground the current assertion.
An Application of a Multi-Criteria Approach for the Development of a Process Reference Model for Supply Chain Operations
Authors: Kechagias Evripidis P. , Gayialis Sotiris P. , Konstantakopoulos Grigorios D. , Papadopoulos Georgios A.
Published: July 2020

Nowadays, there are a plethora of business process modeling tools for use by researchers and practitioners. This paper presents the implementation of a methodological approach for the selection of such a tool in order to construct a process reference model. This reference model will support the development of a distribution system in the context of the supply chain in the phase of the system’s requirements definition, as well as in the final implementation of the system in real-life supply chain operations. The reference model is crucial for the easy and effective adoption of the system into companies’ processes. Therefore, the choice of the modeling tool can strongly support the design, development and implementation of the system. In this context, the application of a multi-criteria decision analysis (MCDA) was carried out in order to select the appropriate tool, utilizing a combination of the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) I method for the decision-making with the Analytic Hierarchy Process (AHP) method for the calculation of the weights of the evaluation criteria. The MCDA’s results showed that the Architecture of Integrated Information Systems (ARIS) Architect & Designer Tool was the one that better met the evaluation criteria. The sensitivity analysis that followed the MCDA reaffirmed its results by revealing that this tool had the highest consistency, despite the changes in the scenarios.
Comparison of Carbon Dioxide (CO2) Fluxes between Conventional and Conserved Irrigated Rice Paddy Fields in Myanmar
Authors: Min Saw , Rulík Martin
Published: July 2020

Rice (Oryza sativa. L.), a major food crop widely grown in Myanmar, is the most prominent cause of greenhouse gas (GHG) emissions in agriculture. Moreover, as a result of modification in agricultural management practices (such as soil tillage), the soil organic matter is exposed to more oxidizing conditions, releasing CO2 into the environment, contributing to global warming. Therefore, we studied the effects of both conventional and conservation soil tillage management practices on CO2 fluxes on an experimental rice paddy field in Myanmar. Total CO2 emissions during the night from paddies farmed under conventional practices were significantly higher than those from paddies farmed under conservation practices; however, no net CO2 flux differences were found between practices. Total net CO2 fluxes ranged from −59 to 1614 mg CO2 m−2 h−1 in conventional practices and from −282 to 1082 mg CO2 m−2 h−1 in conservation practices, respectively. Significantly higher rice biomass and grain yields were observed in conventional practices when compared to those in conservation practices, causing a significant rise in both CO2 uptake and emissions during the day and night, respectively. In addition, the results of this study revealed that CO2 emissions in rice fields could be much higher than expected, requiring further study to elucidate key factors driving the dynamics of CO2 in rice paddy systems.
Sustainability and Branding in Retail: A Model of Chain of Effects
Authors: Flores-Hernández Alfredo , Olavarría-Jaraba Ana , Valera-Blanes Guadalupe , Vázquez-Carrasco Rosario
Published: July 2020

The main objective of this study is to analyse the impact of sustainable practices on companies’ corporate reputation and brand image in the retail sector as perceived by consumers. In addition, we evaluate how those practices affect consumers’ perceived satisfaction levels and their predisposition to engage in positive Word of Mouth (WOM). For the purpose of this study, the context of an emerging economy, Peru, is taken as reference. To do this, we propose a structural equation model based on a representative sample of 403 consumers. The data analysis—using the PLS software package—confirms that corporate social responsibility (CSR) positively influences both corporate reputation and brand image. These two factors jointly have an impact on consumers’ perceived satisfaction levels, which in turn help to explain the flow of positive WOM. This work is a pioneering study of the relationship between the aforementioned factors in the context of emerging economies. The final part of the article discusses the main theoretical implications and recommendations for business practice.
The Hydrochemical and Isotopic Evolution of the Surface Water and Groundwater for Impoundment in the Xiluodu Reservoir, Jinsha River, China
Authors: Zhou Ziwen , Zhou Zhifang , Xu Haiyang , Li Mingwei
Published: July 2020

The construction of a large reservoir with a high dam may cause irreversible changes in the water flow system and even affect the original environmental balance. Xiluodu reservoir, as a representative of the high arch dam reservoirs in China, clearly has this potential issue. Based on the monitoring data of the hydrochemistry and stable isotopes of the water (δD, δ18O) in the Xiluodu reservoir, this study presents the evolution of the hydrochemical and isotopic characteristics of the surface water and groundwater in the reservoir before and after impoundment using cluster analysis and saturation index analysis. The main cations in the reservoir water and groundwater change from Ca2+ and Mg2+ to Ca2+ and Na+, respectively, while the ratio of HCO 3 - to the total anions dropped from 0.86 to 0.7 as the main anion. The cluster analysis results show the high correlation between the groundwater and surface water before and after water impoundment. The calculation of saturation indices indicates that the hydrogeochemical process of the groundwater includes a different trend of the dissolution of minerals. The study of deuterium excess shows that the evaporation of the groundwater near the reservoir decreased after impoundment. Based on the above results and the recharge elevation, this research concludes that the interaction between the surface water and groundwater before and after impoundment is prominent and different. The groundwater replenished the river water before impoundment, while this relationship reversed after impoundment. This evolution process is caused by reservoir storage, and the drainage system and other conditions make this evolution possible. In addition, the influence of interaction evolution on the regional water decreases continuously along the dam site, and some areas even have irreversible changes.
An In-Depth Assessment of Water Resource Responses to Regional Development Policies Using Hydrological Variation Analysis and System Dynamics Modeling
Authors: Liao Zhen-mei , Li Yang-yang , Xiong Wen-shu , Wang Xuan , Liu Dan , Zhang Yun-long , Li Chun-hui
Published: July 2020

To maintain sustainability and availability of regional water resources, appropriate integrated water resource management (IWRM) should be based on an assessment of water resource background and responses to regional development and utilization policies. The study proposed an assessment method combining hydrological variation analysis with a system dynamics (SD) model to support IWRM in the Baiyangdian Region, Northern China. Integrated variation analysis and attributive analysis were used to identify variation time and causes of runoff. Then, based on the current water resource situation, an accessibility analysis examined the possibility of achieving a water resources supply and demand balance of social economic development and the ecological environment within individual internal management. Finally, an SD model simulated water resource response to development policies to predict future policy impacts. Results showed that 65.18% of the impact on runoff was from human activities. Sustainability goals were impossible through internal management, but with eco-migration policies and 1 × 108 m3 inter-basin transferred water, it could quickly be achieved, and water ecosystem function could also be recovered. Establishment of the Xiong’an New Area necessitated introduction of integrated cross-basin management to protect the Baiyangdian Region from degradation of its ecological function. Our study proposed a new method for comparation of internal and cross-basin IWRM.