bluuebunny/crossref_metadata_2025 huggingface dataset:
A Human-Cyber-Physical System toward Intelligent Wind Turbine Operation and Maintenance
Authors: Chen Xiao , Eder Martin A. , Shihavuddin Asm , Zheng Dan
Published: January 2021

This work proposes a novel concept for an intelligent and semi-autonomous human-cyber-physical system (HCPS) to operate future wind turbines in the context of Industry 5.0 technologies. The exponential increase in the complexity of next-generation wind turbines requires artificial intelligence (AI) to operate the machines efficiently and consistently. Evolving the current Industry 4.0 digital twin technology beyond a sole aid for the human decision-making process, the digital twin in the proposed system is used for highly effective training of the AI through machine learning. Human intelligence (HI) is elevated to a supervisory level, in which high-level decisions made through a human–machine interface break the autonomy, when needed. This paper also identifies and elaborates key enabling technologies (KETs) that are essential for realizing the proposed HCPS.
Sustainable Consumer Tax Evasion Theory under Information Inattention
Authors: Herzog Bodo
Published: January 2021

This article studies the renewed interest surrounding sustainable public finance and the topic of tax evasion as well as the new theory of information inattention. Extending a model of tax evasion with the notion of inattention reveals novel findings about policy instruments that can be used to mitigate tax evasion. We show that the attention parameters regarding tax rates, financial penalty schemes and income levels are as important as the level of the detection probability and the financial penalty incurred. Thus, our theory recommends the enhancement of sustainability in public policy, particularly in tax policy. Consequently, the paper contributes both to the academic and public policy debate.
The Level of Public Acceptance to the Development of a Coastal Flooding Early Warning System in Jakarta
Authors: Riama Nelly Florida , Sari Riri Fitri , Rahmayanti Henita , Sulistya Widada , Nurrahmat Mohamad Husein
Published: January 2021

Coastal flooding is a natural disaster that often occurs in coastal areas. Jakarta is an example of a location that is highly vulnerable to coastal flooding. Coastal flooding can result in economic and human life losses. Thus, there is a need for a coastal flooding early warning system in vulnerable locations to reduce the threat to the community and strengthen its resilience to coastal flooding disasters. This study aimed to measure the level of public acceptance toward the development of a coastal flooding early warning system of people who live in a coastal region in Jakarta. This knowledge is essential to ensure that the early warning system can be implemented successfully. A survey was conducted by distributing questionnaires to people in the coastal areas of Jakarta. The questionnaire results were analyzed using cross-tabulation and path analysis based on the variables of knowledge, perceptions, and community attitudes towards the development of a coastal flooding early warning system. The survey result shows that the level of public acceptance is excellent, as proven by the average score of the respondents’ attitude by 4.15 in agreeing with the establishment of an early warning system to manage coastal flooding. Thus, path analysis shows that knowledge and perception have a weak relationship with community attitudes when responding to the coastal flooding early warning model. The results show that only 23% of the community’s responses toward the coastal flooding early warning model can be explained by the community’s knowledge and perceptions. This research is expected to be useful in implementing a coastal flooding early warning system by considering the level of public acceptance.
Creativity for Sustainability: How Do Polish Teachers Develop Students’ Creativity Competence? Analysis of Research Results
Authors: Mróz Anna , Ocetkiewicz Iwona
Published: January 2021

Called the competence of the 21st century, creativity is one of the key competencies for sustainable development. There is no fixed path to achieve sustainability and it is subject to human creativity. However, integrated development of both is surely an under-researched topic. Creative thinking and creative problem solving should be a necessary and significant component of modern sustainable education. Students must learn to associate creativity with sustainability. Helping them understand sustainability by exposing them to the sustainable development goals (SDGs) and designing new creations that honor the planetary boundaries is crucial. The paper focuses on developing creativity by Polish teachers who work with adolescents. The assumption was that creativity can be developed using certain didactic methods and forms. The objective of the study was to explore and to describe which didactic methods and forms teachers use to shape the competence of creativity in students. The teachers took part in a survey and were asked what methods and forms they use to develop creativity in their students. The sample consisted of 337 teachers from the Małopolska region. The results of the analyses show that teachers use only a few of the methods recommended to facilitate creativity, which may lead to a low level of this competence among the students. They also use the most common didactic forms, which may not support the development of creativity competences. Moreover, the research results show that there are several factors, such as the teacher’s seniority and the location of the school, which determine the choice of individual teaching methods.
Sport Education and Traditional Teaching: Influence on Students’ Empowerment and Self-Confidence in High School Physical Education Classes
Authors: Bessa Cristiana , Hastie Peter , Rosado António , Mesquita Isabel
Published: January 2021

Physical Education (PE) is recognized for its value in developing personal and social development. However, the instructional approach adopted by the teacher may affect the achievement of positive outcomes. This study aimed to examine the effects of two different teaching approaches, Traditional Teaching (TT) and the Sport Education (SE) model, on students’ empowerment and self-confidence in high school PE classes. A total of 430 high-school students (66.7% male), aged 14–21 years (M = 16.22, SD = 1.03) enrolled in 10th, 11th and 12th grades, participated in this study. A pretest-posttest quasi-experimental design was used across 18 classes. Classes met two times a week during a period of 8 weeks for a total of 1080 min. The Psychological Empowerment Instrument was used to measure empowerment. Students’ self-confidence was measured with the self-confidence sub-scale of the Competitive State Anxiety Inventory-2. The findings of the research revealed that only SE was effective in improving high school students’ empowerment and self-confidence. In the TT group, no gains were found, even decreasing over time. These results reinforce the adequacy of SE in PE as a curricular model to be used by teachers, particularly for the development of students’ empowerment and self-confidence.
Coupling Analysis of the Thermal Landscape and Environmental Carrying Capacity of Urban Expansion in Beijing (China) over the Past 35 Years
Authors: Li Yu , Ye Haipeng , Sun Xu , Zheng Ji , Meng Dan
Published: January 2021

In this study, we aim to carry out a coupling analysis of the thermal landscape and environmental carrying capacity of urban expansion in Beijing over the past 35 years to provide scientific grounding for city planning. The paper proposes a conceptual framework and develops an integrated quantitative approach to the coupling analysis between urban expansion, the urban ecological environment, and the urban landscape, including the Urban Eco-Environment Carrying Capacity Index (ECI), Landscape Spatial Structure Index, Landscape Thermal Index (LTI), and Transitional Landscape Index (TLI, Markov Chain Model). Urban expansion has been essentially dominated by policy adjustments and has been further influenced by socioeconomic development, which has contributed to four outbreaks of urban sprawl in Beijing. Urban expansion is an essential factor affecting ecological environment change. The Olympic Games in 2008 was the turning point for the urban landscape. The rate of urban expansion and improvement of the ecological landscape all changed significantly around the year 2008. The urban thermal distribution pattern coincided well with the featured landscape patches, representing an obvious reflection of the difference between urban green spaces and construction, while high-temperature areas were abundant in the urban center. Urban expansion has a positive effect on the ecological environment and landscape pattern when it is fully matured and well planned. It is expected that, by 2025, the ecological environment of Beijing will be significantly improved, and the proportion of high-temperature areas will decrease.
The Long-Run Impacts of Temperature and Rainfall on Agricultural Growth in Sub-Saharan Africa
Authors: Talib Mirza Nouman Ali , Ahmed Masood , Naseer Mirza Muhammad , Slusarczyk Beata , Popp József
Published: January 2021

Agricultural sector is significant for Sub-Saharan African countries and is highly exposed and sensitive to climate change. This study aims to investigate the overall long-run impacts of temperature and precipitation on agricultural growth in 32 Sub-Saharan African countries. As proposed by Chudik and Pesaran, our estimations are based on augmented autoregressive distributed lag(ARDL) modelling and panel estimators with multifactor error structures. We estimate the “dynamic common correlated long-run effects (DCCE)” through the cross-sectionally augmented distributed lag (CS-DL) approach as well as through the cross-sectionally augmented autoregressive distributed lag (CS-ARDL). For robustness check, we also consider the cross-sectionally augmented error correction method (CS-ECM) and the common dynamic process augmented mean group (AMG). The study suggests that rising temperatures have significantly developed a negative long-term relationship with the agricultural growth in Sub-Saharan Africa. At the same time, the long-run effect of precipitation is less important and not statistically significant in most estimations. According to the CS-DL approach, the negative impact of a 1°Crise in temperature could be as high as a 4.2 to 4.7 percentage point decrease in the agricultural growth rate. The results indicate that the warming climate has considerably damaged the agrarian activities in Sub-Saharan Africa, necessitating adaptive climate measures to avoid any food scarcity or economic stagnation in agricultural driven African countries.
An Overview of the Transition to a Circular Economy in Emilia-Romagna Region, Italy Considering Technological, Legal–Regulatory and Financial Points of View: A Case Study
Authors: Sani Daniela , Picone Sara , Bianchini Augusto , Fava Fabio , Guarnieri Patricia , Rossi Jessica
Published: January 2021

The circular economy is a growing and strategic topic and has motivated changes and innovations in several segments of research, businesses, financial sectors and public administration. In this context, the Emilia-Romagna Region (Italy) is considered a pioneer in Italy, due to the efforts taken for the transition towards a circular economy. It was the first Italian region to launch a specific law on the subject besides to have relevant projects. Thus, the objective of this paper is to analyse the efforts aimed at the transition to a circular economy in the Emilia-Romagna Region, Italy, considering technological, legal–regulatory, and financial points of view under a market orientation. Complementary, we pointed out the main initiatives related to the circular economy and the areas of interest. To gather data, we conducted applied, descriptive and qualitative research. The data collection was based on documental analysis, and also considering the results of previous questionnaires and interviews. In addition, we applied a dedicated questionnaire and we consider the outcomes of the project Reinwaste—Remanufacture the food supply chain by testing Innovative solutions for zero inorganic waste. The unit of analysis was the project conducted by ART-ER, entitled “Accelerare la transizione verso l’economia circolare in Emilia-Romagna: Uno studio sullo stato dell’arte, le competenze e i bisogni tecnologici e finanziari”. This paper can be useful for researchers and practitioners acting in this field, which can use the results based on public and private policies, investment decisions and further studies.
Promoting Food Waste Reduction at Primary Schools. A Case Study
Authors: Antón-Peset Adriana , Fernandez-Zamudio Maria-Angeles , Pina Tatiana
Published: January 2021

Food waste (FW) has recently attracted the interest of different institutions and has been the focus of many studies due to its important environmental, social and economic impact. This paper aims to analyze whether a didactic intervention, consisting of informing teachers and pupils and involving pupils in reducing FW, could bring about changes in the level of knowledge and attitude towards FW and in the amount of FW generated during the mid-morning break and lunch at schools. This study was conducted at a public Primary School in Valencia (Spain). Subtle changes in the level of knowledge and attitude towards FW were detected in teachers and pupils after the intervention. Around 30% of FW reduction at lunch was observed in the intervention group but not in the other groups. A decrease of almost half of the average weight was observed during the mid-morning break in the rest of primary groups. The results apparently show that addressing the FW issue in classrooms can have a very positive effect on children’s attitudes. As it is such a cross-cutting issue; it raises awareness about a large group of Sustainable Development Goals, and encourages these young citizens to make conscious decisions and to act responsibly.
Improving Quantum Search on Simple Graphs by Pretty Good Structured Oracles
Authors: Paris Matteo G. A. , Benedetti Claudia , Olivares Stefano
Published: January 2021

Quantum search algorithms provide a way to speed up combinatorial search, and have found several applications in modern quantum technology. In particular, spatial search on graphs, based on continuous-time quantum walks (CTQW), represents a promising platform for the implementation of quantum search in condensed matter systems. CTQW-based algorithms, however, work exactly on complete graphs, while they are known to perform poorly on realistic graphs with low connectivity. In this paper, we put forward an alternative search algorithm, based on structuring the oracle operator, which allows one to improve the localization properties of the walker by tuning only the on-site energies of the graph, i.e., without altering its topology. As such, the proposed algorithm is suitable for implementation in systems with low connectivity, e.g., rings of quantum dots or superconducting circuits. Oracle parameters are determined by Hamiltonian constraints, without the need for numerical optimization.
Common Mechanism for Target Specificity of Protein- and DNA-Targeting ADP-Ribosyltransferases
Authors: Yoshida Toru , Tsuge Hideaki
Published: January 2021

Many bacterial pathogens utilize ADP-ribosyltransferases (ARTs) as virulence factors. The critical aspect of ARTs is their target specificity. Each individual ART modifies a specific residue of its substrates, which could be proteins, DNA, or antibiotics. However, the mechanism underlying this specificity is poorly understood. Here, we review the substrate recognition mechanism and target residue specificity based on the available complex structures of ARTs and their substrates. We show that there are common mechanisms of target residue specificity among protein- and DNA-targeting ARTs.
New Data on Cylindrospermopsin Toxicity
Authors: Chichova Mariela , Tasinov Oskan , Shkodrova Milena , Mishonova Milena , Sazdova Iliyana , Ilieva Bilyana , Doncheva-Stoimenova Dilyana , Kiselova-Kaneva Yoana , Raikova Neli , Uzunov Blagoy , Ivanova Diana , Gagov Hristo
Published: January 2021

Cylindrospermopsin (CYN) is a widely spread cyanotoxin that can occur in fresh water and food. This research aims to investigate CYN toxicity by studying the effects of drinking 0.25 nM of CYN-contaminated water from a natural source, and of the direct application of moderate concentrations of CYN on different animal targets. The chosen structures and activities are rat mitochondria inner membrane permeability, mitochondrial ATP synthase (ATPase) and rat liver diamine oxidase (DAO) activities (EC 1.4.3.22.), the force of the contraction of an excised frog heart preparation with functional innervation, and the viability of a human intestinal epithelial cell line (HIEC-6). The oral exposure to CYN decreased the reverse (hydrolase) activity of rat liver ATPase whereas its short-term, in vitro application was without significant effect on this organelle, DAO activity, heart contractions, and their neuronal regulation. The application of CYN reduced HIEC-6 cells’ viability dose dependently. It was concluded that CYN is moderately toxic for the human intestinal epithelial cells, where the regeneration of the epithelial layer can be suppressed by CYN. This result suggests that CYN may provoke pathological changes in the human gastrointestinal tract.
Topical Exposure to Nemopilema nomurai Venom Triggers Oedematogenic Effects: Enzymatic Contribution and Identification of Venom Metalloproteinase
Authors: Yue Yang , Yu Huahua , Li Rongfeng , Li Pengcheng
Published: January 2021

Scyphozoan envenomation is featured as severe cutaneous damages due to the toxic effects of venom components released by the stinging nematocysts of a scyphozoan. However, the oedematogenic property and mechanism of scyphozoan venoms remain uninvestigated. Here, we present the oedematogenic properties of the nematocyst venom from Nemopilema nomurai (NnNV), a giant stinging scyphozoan in China, for the first time, using in vivo and in vitro models with class-specific inhibitors. NnNV was able to induce remarkable oedematogenic effects, including induction of significant oedema in the footpad and thigh of mouse, and increase in vascular permeability in the dorsal skin and kidney. Moreover, batimastat, a specific metalloproteinase inhibitor, could significantly reduce the Evan’s blue leakage in the damaged organs and attenuate paw oedema after 12 h, but exerted no influence on NnNV-induced thigh oedema. These observations suggested a considerable contribution of NnNV metalloproteinase-like components to the increased vasopermeability, and the participation was strongly suggested to be mediated by destroying the integrity of the vascular basement membrane. Moreover, partial isolation combined LC-MS/MS profiling led to identification of the protein species Nn65 with remarkable metalloproteinase activity. This study contributes to the understanding of the effector components underlying the cutaneous damages induced by scyphozoan stings.
Roles of Nutrient Limitation on Western Lake Erie CyanoHAB Toxin Production
Authors: Barnard Malcolm A. , Chaffin Justin D. , Plaas Haley E. , Boyer Gregory L. , Wei Bofan , Wilhelm Steven W. , Rossignol Karen L. , Braddy Jeremy S. , Bullerjahn George S. , Bridgeman Thomas B. , Davis Timothy W. , Wei Jin , Bu Minsheng , Paerl Hans W.
Published: January 2021

Cyanobacterial harmful algal bloom (CyanoHAB) proliferation is a global problem impacting ecosystem and human health. Western Lake Erie (WLE) typically endures two highly toxic CyanoHABs during summer: a Microcystis spp. bloom in Maumee Bay that extends throughout the western basin, and a Planktothrix spp. bloom in Sandusky Bay. Recently, the USA and Canada agreed to a 40% phosphorus (P) load reduction to lessen the severity of the WLE blooms. To investigate phosphorus and nitrogen (N) limitation of biomass and toxin production in WLE CyanoHABs, we conducted in situ nutrient addition and 40% dilution microcosm bioassays in June and August 2019. During the June Sandusky Bay bloom, biomass production as well as hepatotoxic microcystin and neurotoxic anatoxin production were N and P co-limited with microcystin production becoming nutrient deplete under 40% dilution. During August, the Maumee Bay bloom produced microcystin under nutrient repletion with slight induced P limitation under 40% dilution, and the Sandusky Bay bloom produced anatoxin under N limitation in both dilution treatments. The results demonstrate the importance of nutrient limitation effects on microcystin and anatoxin production. To properly combat cyanotoxin and cyanobacterial biomass production in WLE, both N and P reduction efforts should be implemented in its watershed.
New Tools for the Optimized Follow-Up of Imminent Impactors
Authors: Mochi Maddalena , Tommei Giacomo
Published: January 2021

The solar system is populated with, other than planets, a wide variety of minor bodies, the majority of which are represented by asteroids. Most of their orbits are comprised of those between Mars and Jupiter, thus forming a population named Main Belt. However, some asteroids can run on trajectories that come close to, or even intersect, the orbit of the Earth. These objects are known as Near Earth Asteroids (NEAs) or Near Earth Objects (NEOs) and may entail a risk of collision with our planet. Predicting the occurrence of such collisions as early as possible is the task of Impact Monitoring (IM). Dedicated algorithms are in charge of orbit determination and risk assessment for any detected NEO, but their efficiency is limited in cases in which the object has been observed for a short period of time, as is the case with newly discovered asteroids and, more worryingly, imminent impactors: objects due to hit the Earth, detected only a few days or hours in advance of impacts. This timespan might be too short to take any effective safety countermeasure. For this reason, a necessary improvement of current observation capabilities is underway through the construction of dedicated telescopes, e.g., the NEO Survey Telescope (NEOSTEL), also known as “Fly-Eye”. Thanks to these developments, the number of discovered NEOs and, consequently, imminent impactors detected per year, is expected to increase, thus requiring an improvement of the methods and algorithms used to handle such cases. In this paper we present two new tools, based on the Admissible Region (AR) concept, dedicated to the observers, aiming to facilitate the planning of follow-up observations of NEOs by rapidly assessing the possibility of them being imminent impactors and the remaining visibility time from any given station.
Pan-Enterovirus Amplicon-Based High-Throughput Sequencing Detects the Complete Capsid of a EVA71 Genotype C1 Variant via Wastewater-Based Epidemiology in Arizona
Authors: Faleye Temitope O. C. , Driver Erin , Bowes Devin , Adhikari Sangeet , Adams Deborah , Varsani Arvind , Halden Rolf U. , Scotch Matthew
Published: January 2021

We describe the complete capsid of a genotype C1-like Enterovirus A71 variant recovered from wastewater in a neighborhood in the greater Tempe, Arizona area (Southwest United States) in May 2020 using a pan-enterovirus amplicon-based high-throughput sequencing strategy. The variant seems to have been circulating for over two years, but its sequence has not been documented in that period. As the SARS-CoV-2 pandemic has resulted in changes in health-seeking behavior and overwhelmed pathogen diagnostics, our findings highlight the importance of wastewater-based epidemiology (WBE ) as an early warning system for virus surveillance.
Characterizing the Frequency Response of Compliant Materials by Laser Döppler Vibrometry Coupled Acoustic Excitation
Authors: Ricarte Arlindo , Meireles José , Inácio Octávio
Published: January 2021

Low-stiffness or compliant materials are inherently difficult to characterize in terms of dynamic mechanical properties. Their free-vibration behavior is not frequently analyzed, given that performing classic vibration testing in these type of materials may imply the tampering of the results by external sources, either by changes in the geometry of the sample, by gravity-induced buckling, or the instrumentation itself (e.g., the mass of accelerometers). This study proposes an approach to determine the frequency response of these types of materials, using a noncontact methodology based on acoustic excitation and displacement measurement by Laser Döppler Vibrometry. The detailed method may be optimized by changing the sample design into a half-cane configuration to increase sample stiffness. This approach significantly increases the sample eigenmodes, facilitating their excitation by the acoustic pressure source. Numerical analysis using the values of the dynamic Young’s modulus from the experimental approaches validates the overall procedure. It is shown that the combination of numerical analysis and the proposed experimental method is a possible route for the determination of the dynamic Young’s modulus of these types of materials by inverse engineering.
A Multivariate Balanced Initial Ensemble Generation Approach for an Atmospheric General Circulation Model
Authors: Du Juan , Zheng Fei , Zhang He , Zhu Jiang
Published: January 2021

Based on the multivariate empirical orthogonal function (MEOF) method, a multivariate balanced initial ensemble generation method was applied to the ensemble data assimilation scheme. The initial ensembles were generated with a reasonable consideration of the physical relationships between different model variables. The spatial distribution derived from the MEOF analysis is combined with the 3-D random perturbation to generate a balanced initial perturbation field. The Local Ensemble Transform Kalman Filter (LETKF) data assimilation scheme was established for an atmospheric general circulation model. Ensemble data assimilation experiments using different initial ensemble generation methods, spatially random and MEOF-based balanced, are performed using realistic atmospheric observations. It is shown that the ensembles integrated from the balanced initial ensembles maintain a much more reasonable spread and a more reliable horizontal correlation compared with the historical model results than those from the randomly perturbed initial ensembles. The model predictions were also improved by adopting the MEOF-based balanced initial ensembles.
Comprehensive Assessment Indicator of Ecosystem Resilience in Central Asia
Authors: Fan Xue , Hao Xingming , Hao Haichao , Zhang Jingjing , Li Yuanhang
Published: January 2021

The ecosystems in the arid inland areas of Central Asia are fragile and severely degraded. Understanding and assessing ecosystem resilience is a challenge facing ecosystems. Based on the net primary productivity (NPP) data estimated by the CASA model, this study conducted a quantitative analysis of the ecosystem’s resilience and comprehensively reflected its resilience from multiple dimensions. Furthermore, a comprehensive resilience index was constructed. The result showed that plain oasis’s ecosystem resilience is the highest, followed by deserts and mountainous areas. From the perspective of vegetation types, the highest resilience is artificial vegetation and the lowest is forest. In warm deserts, the resilience is higher in shrubs and meadows and lower in grassland vegetation. High coverage and biomass are not the same as the strong adaptability of the ecosystem. Moderate and slightly inelastic areas mainly dominate the ecosystem resilience of the study area. The new method is easy to use. The evaluation result is reliable. It can quantitatively analyze the resilience latitude and recovery rate, a beneficial improvement to the current ecosystem resilience evaluation.
Impact of Active Chlorines and •OH Radicals on Degradation of Quinoline Using the Bipolar Electro-Fenton Process
Authors: Zhang Wenlong , Chen Jun , Wang Jichao , Cui Cheng-Xing , Wang Bingxing , Zhang Yuping
Published: January 2021

Quinoline is a typical nitrogenous heterocyclic compound, which is carcinogenic, teratogenic, and mutagenic to organisms, and its wastewater is difficult to biodegrade directly. The bipolar electro-Fenton process was employed to treat quinoline solution. The process/reaction conditions were optimized through the single factor experiment. The degradation kinetics of chemical oxygen demand (COD) was analyzed. To get the degradation mechanism and pathways of quinoline, the intermediate products were identified by gas chromatograph–mass spectrometer (GC–MS). By using sodium chloride as supporting electrolyte in the electro-Fenton reaction system with initial pH 3.0, conductivity 15,800 µs/cm, H2O2 concentration 71 mmol/L, current density 30.5 mA/cm2, and applied voltage 26.5 V, 75.56% of COD was decreased by indirect oxidation with electrogeneration of hydroxyl radicals (•OH) and active chloric species in 20 min. The COD decrease of quinoline solution followed the first order reaction kinetic model. The main products of quinoline degradation were 2(1H)-quinolinone, 4-chloro-2(1H)-quinolinone, 5-chloro-8-hydroxyquinoline, and 5,7-dichloro-8-hydroxyquinoline. Furthermore, two possible degradation pathways of quinoline were proposed, supported with Natural charge distribution on quinoline and intermediates calculated at the theoretical level of MN15L/6-311G(d).
Physiological Changes and Elemental Ratio of Scrippsiella trochoidea and Heterosigma akashiwo in Different Growth Phase
Authors: Liu Xiaofang , Liu Yang , Noman Md Abu , Thangaraj Satheeswaran , Sun Jun
Published: January 2021

The elemental ratios in phytoplankton are important for predicting biogeochemical cycles in the ocean. However, understanding how these elements vary among different phytoplankton taxa with physiological changes remains limited. In this paper, we determine the combined physiological–elemental ratio changes of two phytoplankton species, Scrippsiella trochoidea (Dinophyceae) and Heterosigma akashiwo (Raphidophyceae). Our results show that the cell growth period of S. trochoidea (26 days) was significantly shorter than that of H. akashiwo (32 days), with an average cell abundance of 1.21 × 104 cells·mL−1 in S. trochoidea and 1.53 × 105 cells·mL−1 in H. akashiwo. The average biovolume of S. trochoidea (9.71 × 103 μm3) was higher than that of H. akashiwo (0.64 × 103 μm3). The physiological states of the microalgae were assessed based on elemental ratios. The average ratios of particulate organic nitrogen (PON) to chlorophyll-a (Chl-a) and particulate organic carbon (POC) to Chl-a in S. trochoidea (57.32 and 168.16) were higher than those of H. akashiwo (9.46 and 68.86); however, the ratio of POC/PON of the two microalgae was nearly equal (6.33 and 6.17), indicating that POC/Chl-a may be lower when the cell is actively growing. The physiological variation, based on the POC/Chl-a ratio, in different phytoplankton taxa can be used to develop physiological models for phytoplankton, with implications for the marine biogeochemical cycle.
Investigation on River Thermal Regime under Dam Influence by Integrating Remote Sensing and Water Temperature Model
Authors: Shi Xi , Sun Jian , Xiao Zijun
Published: January 2021

River water temperature (RWT), a primary parameter for hydrological and ecological processes, is influenced by both climate change and anthropogenic intervention. Studies on such influences have been severely restricted due to the scarcity of river temperature data. This paper proposed a three-stage method to obtain long-term daily water temperature for rivers and river-type reservoirs by integrating remote sensing technique and river water temperature modelling. The proposed three-stage method was applied to the Three Gorges Reservoir (TGR) and validated against in situ measured RWTs in the two study sites, Cuntan and Huanglingmiao. The result showed improvements in the method: the quadrate window selection and RWT correction jointly reduce RMSE from 1.8 to 0.9 °C in Cuntan and from 2.1 to 1.2 °C in Huanglingmiao. As a whole, the estimated daily RWT has a consistent RMSE of 1.1–1.9 °C. Meanwhile, by analysing the Landsat-derived daily RWT, we demonstrated that the TGR had a significant impact on the outflow’s thermal regime. At the downstream reach of TGR, an apparent increase in RWT in the cold season and interannual thermal regime delay compared to inflow were found with the increasing water level after the dam construction. All the results and analyses indicate that the proposed three-stage method could be applied to obtain long time series of daily RWT and provide a promising approach to qualitatively analyse RWT variation in the poorly gauged catchment for river water quality monitoring and management.
Soil Moisture Retrieval during the Wheat Growth Cycle Using SAR and Optical Satellite Data
Authors: Zhang Min , Lang Fengkai , Zheng Nanshan
Published: January 2021

The objective of this paper is to propose a combined approach for the high-precision mapping of soil moisture during the wheat growth cycle based on synthetic aperture radar (SAR) (Radarsat-2) and optical satellite data (Landsat-8). For this purpose, the influence of vegetation was removed from the total backscatter by using the modified water cloud model (MWCM), which takes the vegetation fraction (fveg) into account. The VV/VH polarization radar backscattering coefficients database was established by a numerical simulation based on the advanced integrated equation model (AIEM) and the cross-polarized ratio of the Oh model. Then the empirical relationship between the bare soil backscattering coefficient and both the soil moisture and the surface roughness was developed by regression analysis. The surface roughness in this paper was described by using the effective roughness parameter and the combined roughness form. The experimental results revealed that using effective roughness as the model input instead of in-situ measured roughness can obtain soil moisture with high accuracy and effectively avoid the uncertainty of roughness measurement. The accuracy of soil moisture inversion could be improved by introducing vegetation fraction on the basis of the water cloud model (WCM). There was a good correlation between the estimated soil moisture and the observed values, with a root mean square error (RMSE) of about 4.14% and the coefficient of determination (R2) about 0.7390.
Vegetation Survival in Green Roofs without Irrigation
Authors: Raimondi Anita , Marchioni Mariana , Sanfilippo Umberto , Becciu Gianfranco
Published: January 2021

The implementation of green roofs as sustainable urban drainage systems provides benefits for stormwater control and the environment and is more and more encouraged. A model for the estimation of the probability of vegetation survival without irrigation is proposed. The model, developed through a probabilistic analytical derivation procedure, can also consider the effects of chained rainfall events, without the need of continuous simulation of hydrological processes. The model equations can be useful in the design of green roofs, allowing to determine the growing medium thickness in terms of an assumed risk of vegetation withering in dry periods. The proposed model is also able to identify the optimal thickness of the growing medium, over which the survival performances can be increased only with irrigation. Model performances were tested by the application to two case studies in Italy. Comparison between the probabilities and the cumulative frequencies from a continuous simulation of water content in the growing medium shows a good agreement and provide a first confirmation of reliability.
A Green Roof Case Study in the Urban Context of Milan: Integrating the Residential and Cultivation Functions for Sustainable Development
Authors: Procaccini Giulia , Monticelli Carol
Published: January 2021

Green roofs are increasing in popularity because of both their pleasant appearance and their positive effects for the urban ecosystems and the building indoor climatic conditions. Though this technology has already been applied all over the world, it is still commonly considered of difficult application and management. Easy and fast approaches for green roofs must therefore be examined and encouraged in order to increase their number to counterbalance urban overheating. This thesis case study aimed to represent a prototype of a green roof integrated with a residential function in order to achieve an easy management of the cultivation area. The project was designed in terms of sustainability and was analyzed for its social, environmental and economic impacts, pointing out the numerous benefits that can be derived by the combination and juxtaposition of humans and native plants. The proposed solution is favorable in terms of a sustainable development: it aspires to be reproduced and extensively applied to other facilities of a city as a solution for the overheating and overpopulation of contemporary cities.
Surface Water Extraction and Dynamic Analysis of Baiyangdian Lake Based on the Google Earth Engine Platform Using Sentinel-1 for Reporting SDG 6.6.1 Indicators
Authors: Jiang Zijie , Jiang Weiguo , Ling Ziyan , Wang Xiaoya , Peng Kaifeng , Wang Chunlin
Published: January 2021

Surface water is an essential element that supports natural ecosystem health and human life, and its losses or gains are closely related to national or local sustainable development. Monitoring the spatial-temporal changes in surface water can directly support the reporting of progress towards the sustainable development goals (SDGs) outlined by the government, especially for measuring SDG 6.6.1 indicators. In our study, we focused on Baiyangdian Lake, an important lake in North China, and explored its spatiotemporal extent changes from 2014 to 2020. Using long-term Sentinel-1 SAR images and the OTSU algorithm, our study developed an automatic water extraction framework to monitor surface water changes in Baiyangdian Lake at a 10 m resolution from 2014 to 2020 on the Google Earth Engine cloud platform. The results showed that (1) the water extraction accuracy in our study was considered good, showing high consistency with the existing dataset. In addition, it was found that the classification accuracy in spring, summer, and fall was better than that in winter. (2) From 2014 to 2020, the surface water area of Baiyangdian Lake exhibited a slowly rising trend, with an average water area of 97.03 km2. In terms of seasonal variation, the seasonal water area changed significantly. The water areas in spring and winter were larger than those in summer and fall. (3) Spatially, most of the water was distributed in the eastern part of Baiyangdian Lake, which accounted for roughly 57% of the total water area. The permanent water area, temporary water area, and non-water area covered 49.69 km2, 97.77 km2, and 171.55 km2, respectively. Our study monitored changes in the spatial extent of the surface water of Baiyangdian Lake, provides useful information for the sustainable development of the Xiong’an New Area and directly reports the status of SDG 6.6.1 indicators over time.
Analysis of 220 Years of Floodplain Population Dynamics in the US at Different Spatial Scales
Authors: Akhter Firoza , Mazzoleni Maurizio , Brandimarte Luigia
Published: January 2021

In this study, we explore the long-term trends of floodplain population dynamics at different spatial scales in the contiguous United States (U.S.). We exploit different types of datasets from 1790–2010—i.e., decadal spatial distribution for the population density in the US, global floodplains dataset, large-scale data of flood occurrence and damage, and structural and nonstructural flood protection measures for the US. At the national level, we found that the population initially settled down within the floodplains and then spread across its territory over time. At the state level, we observed that flood damages and national protection measures might have contributed to a learning effect, which in turn, shaped the floodplain population dynamics over time. Finally, at the county level, other socio-economic factors such as local flood insurances, economic activities, and socio-political context may predominantly influence the dynamics. Our study shows that different influencing factors affect floodplain population dynamics at different spatial scales. These facts are crucial for a reliable development and implementation of flood risk management planning.
Predicting Dam Flood Discharge Induced Ground Vibration with Modified Frequency Response Function
Authors: Zhang Yan , Lian Jijian , Li Songhui , Zhao Yanbing , Zhang Guoxin , Liu Yi
Published: January 2021

Ground vibrations induced by large flood discharge from a dam can damage surrounding buildings and impact the quality of life of local residents. If ground vibrations could be predicted during flood discharge, the ground vibration intensity could be mitigated by controlling or tuning the discharge conditions by, for example, changing the flow rate, changing the opening method of the orifice, and changing the upstream or downstream water level, thereby effectively preventing damage. This study proposes a prediction method with a modified frequency response function (FRF) and applies it to the in situ measured data of Xiangjiaba Dam. A multiple averaged power spectrum FRF (MP-FRF) is derived by analyzing four major factors when the FRF is used: noise, system nonlinearity, spectral leakages, and signal latency. The effects of the two types of vibration source as input are quantified. The impact of noise on the predicted amplitude is corrected based on the characteristics of the measured signal. The proposed method involves four steps: signal denoising, MP-FRF estimation, vibration prediction, and noise correction. The results show that when the vibration source and ground vibrations are broadband signals and two or more bands with relative high energies, the frequency distribution of ground vibration can be predicted with MP-FRF by filtering both the input and output. The amplitude prediction loss caused by filtering can be corrected by adding a constructed white noise signal to the prediction result. Compared with using the signal at multiple vibration sources after superimposed as input, using the main source as input improves the accuracy of the predicted frequency distribution. The proposed method can predict the dominant frequency and the frequency bands with relative high energies of the ground vibration downstream of Xiangjiaba Dam. The predicted amplitude error is 9.26%.
Water, Waste Material, and Energy as Key Dimensions of Sustainable Management of Early Childhood Eco-Schools: An Environmental Literacy Model Based on Teachers Action-Competencies (ELTAC)
Authors: López-Alcarria Abigail , Poza-Vilches María , Pozo-Llorente María , Gutiérrez-Pérez José
Published: January 2021

The main argument defended in this article is that the involvement of teachers in decision-making about environmental aspects related to the management of educational institutions constitutes a powerful tool for training, teacher professional development, and environmental literacies. A group of early childhood education teachers across various institutions work under a collaborative action-research model for an entire year that is focussed on the following: (1) the institution’s water, solid waste, and energy management; (2) the planning of innovative activities related to water, solid waste, and energy, and; (3) participation in transformative actions that involve families and impact their neighbourhoods. The experience enables the building of a theoretical model of teacher training aimed at acquiring action skills from a comprehensive perspective of triple helix environmental literacy (management, research/innovation, and teaching) that affects their commitments to the management of environmental resources, the eco-auditing of their eco-school, the curricular greening of activities, the renewal of educational programs, and the implementation of an action-research focussed on aspects related to sustainability.
Natural Organic Matter Removal from Raw Surface Water: Benchmarking Performance of Chemical Coagulants through Excitation-Emission Fluorescence Matrix Spectroscopy Analysis
Authors: Go Raymond , Yang Hui-Ling , Kan Chi-Chuan , Ong Dennis , Garcia-Segura Sergi , de Luna Mark
Published: January 2021

Chemical disinfection of surface waters has been proven effective in minimizing the risk of contamination by water-borne pathogens. However, surface waters contain natural organic matter (NOM) which, upon chemical disinfection, is readily converted into hazardous disinfection-by-products. Hence, NOM removal from these waters is critical. Chemical coagulation is a readily implementable technology to minimize these undesired side-effects by NOM removal. Herein, capabilities of ferric chloride (FeCl3) and polyaluminum chloride (PACl) as pre-treatment for NOM abatement from natural raw surface water have been benchmarked. Excitation-emission fluorescence matrix (EEM) spectroscopy characterization of NOM fractions demonstrated high removal efficiency. A two-level full factorial design was employed to analyze the effects of coagulant dosage and initial pH on the removal of turbidity, humic acid-like substances and fulvic acid-like substances from the raw water. Higher removal of ~77% NOM was attained with PACl than with FeCl3 (~72%). Optimization through response surface methodology showed that the initial pH—coagulant dosage interaction was significant in removing NOM and turbidity for both PACl and FeCl3. These results identify the opportunity for coagulation technologies to prevent and minimize disinfection-by-products formation through NOM removal.
Supervised Machine Learning for Estimation of Total Suspended Solids in Urban Watersheds
Authors: Moeini Mohammadreza , Shojaeizadeh Ali , Geza Mengistu
Published: January 2021

Machine Learning (ML) algorithms provide an alternative for the prediction of pollutant concentration. We compared eight ML algorithms (Linear Regression (LR), uniform weighting k-Nearest Neighbor (UW-kNN), variable weighting k-Nearest Neighbor (VW-kNN), Support Vector Regression (SVR), Artificial Neural Network (ANN), Regression Tree (RT), Random Forest (RF), and Adaptive Boosting (AdB)) to evaluate the feasibility of ML approaches for estimation of Total Suspended Solids (TSS) using the national stormwater quality database. Six factors were used as features to train the algorithms with TSS concentration as the target parameter: Drainage area, land use, percent of imperviousness, rainfall depth, runoff volume, and antecedent dry days. Comparisons among the ML methods demonstrated a higher degree of variability in model performance, with the coefficient of determination (R2) and Nash–Sutcliffe (NSE) values ranging from 0.15 to 0.77. The Root Mean Square (RMSE) values ranged from 110 mg/L to 220 mg/L. The best fit was obtained using the AdB and RF models, with R2 values of 0.77 and 0.74 in the training step and 0.67 and 0.64 in the prediction step. The NSE values were 0.76 and 0.72 in the training step and 0.67 and 0.62 in the prediction step. The predictions from AdB were sensitive to all six factors. However, the sensitivity level was variable.