bluuebunny/crossref_metadata_2025_split huggingface dataset:
Taxonomic structure of phytoplankton in Shershnevskoe Reservoir (Chelyabinsk, Russia), an artificial lake
Authors: Kostryukova A M , Mashkova I V , Trofimenko V V , Vasilieva E I 
Published: October 2019

Abstract
Shershnevskoe Reservoir is the main source of water supply of the Chelyabinsk city (South Ural, Russia). It is an artificial reservoir, filled in 1963-1969. The water protection zone of the Shershnevskoe Reservoir is subject to significant anthropogenic impact. Variations in phytoplankton community composition in the artificial waters are still poorly understood. The purpose of this work is to study the changes in the composition of phytoplankton that have occurred since the creation of the reservoir. Identified taxa (381) of the phytoplanktonic community in 1965-1985 are as follows: 150 Chlorophyta, 123 Bacillariophyta, 69 Cyanophyta, 25 Euglenophyta, 6 Chrysophyta, 6 Xantophyta, 1 Dinophyta and 1 Cryptophyta. Identified taxa (134) of the phytoplanktonic community in 2004-2017 are as follows: 67 Chlorophyta, 26 Bacillariophyta, 25 Cyanophyta, 9 Euglenophyta, 4 Chrysophyta, 2 Xantophyta and 1 Dinophyta. The dominants were blue-green algae. The presence of Cyanobacteria as the dominant complex indicates a high degree of eutrophication of the reservoir. The following species were dominant until 2014-2015 Aphanizomenon flosaquae Ralfs ex Bornet & Flahault, Snowella lacustris (Chodat) Komárek & Hindák and Microcystis aeruginosa (Kützing) Kützing, but after 2014-2015 it is Planktothrix agardhii (Gomont) Anagnostidis & Komárek. Over the fifty years of the existence of the Shershnevskoe Reservoir, its ecological state has passed from a long-term sustainable mesotrophic to a eutrophic one.
Assessing Gene Expression Programming as a technique for seasonal streamflow prediction: A case study of NSW
Authors: Esha R I , Imteaz M A , Nazari A 
Published: October 2019

Abstract
This research aims to provide long term streamflow forecast models using multiple climate indices as the predictors with the help of an advanced evolutionary method, Gene Expression Programming (GEP) to solve the developed symbolic regression problems as it is found to be superior than other traditional methods. Being a transparent model, GEP is able to provide the relationship between input (climate indices) and output (streamflow) variables with mathematical expressions which help the users to understand the underlying hydrological process between the climate mode and streamflow without having much knowledge about the used software. Two stations of New South Wales (NSW) are chosen based on their longer data record and fewer missing values. Several preliminary researches including single and multiple correlation analyses reveal PDO (Pacific Decadal Oscillation), IPO (Inter Decadal Pacific Oscillation), IOD (Indian Ocean Dipole) and ENSO (El Nino Southern Oscillation) are few among the influential indices on the study region. The resultant models appear to be more efficient with up to 50% higher Pearson correlation (r) values than that of the simple MLR technique adapted in one of our previous studies. Furthermore, the statistical performance analyses including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Willmott index of agreement (d) and Nash-Sutcliffe efficiency (NSE) ensure high predictability of the developed models. The similar correlation values (r) generated from calibration and validation periods which ranges between 0.74 and 0.91 increase the reliability of the resultant models for predicting seasonal streamflow up to three months in advance.
A mathematical programming model for the recycling of sustainable food waste
Authors: Lin H , Huang B 
Published: October 2019

Abstract
Food waste is a primary component of municipal solid waste (MSW), which can be recycled or disposed of depending on how it has been treated. The cost and environmental impact of treating food waste are common concerns of local authorities. In this study, a mathematical model is presented which is designed to assist local authorities in determining the treatment plan. In addition to data of waste generation and treatment capacity, the level of local demand for recycled products is also included in the developed model. With the use of the proposed model, the recycling and treatment scheme can contribute to local sustainability by reducing the dependence on virgin materials for local industries. Four food waste treatments including wet feeding, dried feeding, composting and incineration have been examined for their cost-effectiveness and environmental impact. A case study of Taichung City, Taiwan is presented to demonstrate the applicability of the developed model. The results revealed the trade-off costs and environmental impacts associated with each recycling scenario. Also, the results indicate that establishing new facilities may reduce the impact on the environment, as well as the total cost.
Development of advanced pyrite passivation strategies towards sustainable management of acid mine drainage
Authors: Tabelin C B , Park I , Li X , Seng S , Villacorte-Tabelin M , Igarashi T , Ito M , Hiroyoshi N 
Published: October 2019

Abstract
Acid mine drainage (AMD) is one of the most serious environmental problems encountered in mining areas worldwide. When released into the environment without treatment, AMD pollutes the surrounding water bodies and soils with hazardous and toxic elements like arsenic (As), selenium (Se) and heavy metals such as lead (Pb), cadmium (Cd), copper (Cu) and zinc (Zn) that rapidly destroy affected ecosystems. The most commonly used method to treat AMD is chemical neutralization, a technique whereby basic materials like limestone or lime are mixed with AMD to raise its pH and remove most of the contaminants via precipitation. Although effective, this approach requires the continuous supply of chemicals, energy, and manpower, which makes it unsustainable because AMD generation has been documented to continue for a very long time (up to several centuries to millennia). One promising alternative to chemical neutralization is (micro) encapsulation, a technique that directly treats pyrite, the main mineral responsible for AMD formation, and renders it unreactive by encapsulating the mineral with protective coatings. In this study, we introduced two advanced pyrite passivation techniques to limit AMD formation called “carrier-microencapsulation” (CME) and “galvanic microencapsulation” (GME). CME uses a redox-reactive organic carrier to deliver the coating material on the surface of pyrite. Because the carrier only decomposes oxidatively, the primary strength of this technique is its high selectivity for pyrite even in complex systems like mine tailings and pyrite-rich waste rocks. Meanwhile, GME is based on galvanic interactions between pyrite and metals with lower rest potentials so this technique could be applied directly in a ball mill during ore processing or coal cleaning.
Evaluation of RSA based formula for critical responses and incidence angles of a concrete MRF subjected to ground motions scaled to different hazard levels
Authors: Chen C , Diep V , Pong W 
Published: October 2019

Abstract
Seismic analysis of structures often requires applying a pair of ground motions simultaneously in the directions of the structures since an earthquake can excite with any incidence angle. Critical response and incident angle analysis therefore play a significant role in seismic structural design by predicting maximum structural responses. Existing procedures are often based on response spectrum analysis methods (RSA) to obtain critical angles and responses. The main objective of this study is to compare the critical incidence angles and responses obtained with response history analysis (RHA) and RSA for a concrete moment resisting frame (MRF). Unlike previous studies, this study considers the effect of different hazard levels by using different scaling methods for a total of fourteen selected pairs of recorded ground motions. Response history analyses of a nine-story concrete MRF are conducted under different seismic hazard levels. The studies demonstrate the significance of critical angle analysis as well as some discrepancy between RHA and RSA.
Recent advances in pore water pressure and liquefaction characteristics of low plasticity silty sands subjected to cyclic loading
Authors: Porcino D D 
Published: October 2019

AbstractLow plasticity sand-silt mixtures are very common in Italy either in natural depositional environment or in man-made earth-fill, hence the knowledge of their behavior is a crucial aspect in many practical applications. Due to higher compressibility features, significant strains and strength loss may be triggered by earthquakes. The results of a laboratory-based investigation undertaken on undisturbed samples of low plasticity silty-sandy soils recovered from a bank stretch after the 2012 Emilia Romagna earthquake in Italy, when serious damages and widespread liquefaction events were observed, are herein presented. Special emphasis was given to susceptibility to liquefaction and pore water pressure response in presence of an initial static shear stress. As part of the present work, the results of undrained cyclic simple shear (CSS) tests carried out on reconstituted specimens of sand-fines mixtures, covering a range of non plastic fines contents from 0% to 40%, were used for predicting undrained cyclic resistance through the concept of equivalent granular void ratio,e*. The conceptual framework based one*appears appropriate for streamlining the effect of fines on cyclic liquefaction resistance of these intermediate soils, provided that fines content is less than a limiting value. Since an important stage in the assessment of liquefaction potential is to predict excess pore water pressure during cyclic loading, the results ofCSStests were also utilized for analysing pore water pressure generation models of silty sands over a wide range of fines contents.
Merged-LSTM and multistep prediction of daily chlorophyll-a concentration for algal bloom forecast
Authors: Cho H , Park H 
Published: October 2019

Abstract
Algal blooms are significant environmental problems which threaten the water supply system and ecosystem. To manage the problem, the effective forecasting model is necessary, but it is still challenging to predict the algal bloom due to its uncertainty and complexity. To improve the prediction performance, this study proposed the advanced model based on LSTM networks. Merged-LSTM model contains the three parallel LSTM layers and merged layers which is available to use the additional data from the diverse sources without problem in the training process. To predict the chlorophyll-a of target area, data from an additional monitoring station in upstream and auxiliary environmental data were put into parallel layers as well as data from the target area. The prediction result of the proposed model outperforms the existing models, and also shows a better training process with larger data dimensions. The proposed model and its result also suggest that the possibility of prediction of algal bloom with more advanced models and corresponding data sources.
Rapid site assessment in a small island of the Philippines contaminated with mine tailings using ground and areal technique: The environmental quality after twenty years
Authors: Senoro D B , de Jesus K L M , Yanuaria C A , Bonifacio P B , Manuel M T , Wang B-N , Kao C-C , Wu T-N , Ney F P , Natal P 
Published: October 2019

Abstract
This paper illustrates the impacts of mining disaster after more than 20 years. A two – day rapid assessment was carried out at Mogpog and Boac River catchment in Marinduque Island in March 2019. The target site included Maguilaguila Pit that connects the river catchment and formerly used as mining wastes pit. This is to understand the impacts of 1993 and 1996 mining disasters in the Boac-Mogpog river basin at Marinduque, Philippines. The island of Marinduque has been considered as among the top ten most vulnerable islands in the country due to its environmental condition and geographical location which affected the island demography. The island has suffered the impacts of one of the country’s biggest mining disasters. The instruments used to conduct rapid site assessment were SciAps X-300 Handheld X-ray Fluorescence (XRF), Unmanned Air Vehicle (UAV) Model DJI Mavic Air, Google Earth, Hannah Multiparameter HI 9811-5 with HI 1285-5 probe and HI 70007, 70031, 70032 and 700661 solutions. The DJI Mavic Air captured images of Mogpog and Boac River catchment which helped direct the research team to take the right sampling locations. The DJI Mavic Air captured site images of the two rivers as dead rivers and use as land transportation route during dry season. The Google Earth captured the historical images of the target areas. The recorded data showed that the pit and nearby river water is acidic with pH equivalent to 2.9 and 4.1, respectively. The range of concentration of total dissolved solids in Mogpog and Boac river water was 100–1360 and 160–1150 ppm, respectively. The recorded concentration of iron near the pit was 125,587 ppm, and chromium concentration range was 80–99 ppm. The concentration of copper and manganese in the sediments was 5 and 158 times higher (respectively) than the 1998 detected concentrations. Based on the recorded data and images, the Maguilaguila pit, Boac and Mogpog River catchment need immediate attention. It could be concluded that based on the recent assessment results, leaks at the pit are likely. Also, the combination of areal-aerial and ground technique produced two – day rapid site assessment for areas contaminated by mine tailings. The information could aid in preparing prompt action and setting strategies that are helpful in carrying out risk reduction programs in the island.
Effects of plastic waste to sea environment in Vietnam
Authors: Danh N T , Hoi H T 
Published: October 2019

Abstract
Currently, plastic products are commonly used in a developing country like Vietnam, the demand for plastic items has become more and more popular. The introduction of these plastic products has brought many benefits to Vietnamese people. However, going along with utilities plastic goods are also the factors affecting our living environment. In addition, the abusing and discharging plastic products into the environment in this country have become great concerns which are at alarming level. Witnessing the widely popular realities of using plastic items leads to the difficulties in controlling waste and the serious effects of it to the environment in general and to the marine environment in particular. This paper was based on the information of many journals and supports of the respondents who are studying at FPT University from May 13 to May 24, 2019 through the student survey. From then on, some solutions were mentioned to make the marine environment a better place.
A comparison of probabilistic distributions of undrained shear strength of soils in Nipigon River, Canada
Authors: Kanwar N S , Deng J 
Published: October 2019

Abstract
In probabilistic reliability analysis and design, critical geotechnical variables such as soil shear strength are usually regarded as random variables with a probability distribution rather than deterministic values or constants. In this paper, the vane shear test is briefly introduced and used to obtain undrained shear strength of soil in the area of Nipigon river landslide, Ontario, Canada. Then the maximum entropy method is presented to generate an unbiased probabilistic distribution for soil properties based on optimal-order moments from observed soil samples. A comparative study between maximum entropy distributions and traditional lognormal and normal distributions is conducted to evaluate the performance of fitted probabilistic distributions. Kolmogorov-Smirnov goodness of fit test shows that the maximum entropy distribution with four order moments fit the undrained shear strength best. The analytical entropy distribution obtained can be used in probabilistic reliability analysis.
Estimating micro-property parameters of concrete materials based on macro-experimental data
Authors: Li S J , Wang Z Y , Yu S , Wang S 
Published: October 2019

Abstract
It is very difficult to simulate nonlinear characteristics of concrete materials during fracturing process with continuum mechanics models. Discrete element methods supply for a new way for solving this kind of problems. However, how to precisely determine parameters of micro-constitutive model of concrete materials has become a key problem that affects the development and practical application of discrete element methods. The nonlinear mapping relation between deformation data of concrete specimen and parameters of micro-constitutive model of concrete materials is bridged by response surface function. Based on macro experimental data and response surface function, parameters of micro-constitutive model of concrete materials are determined by using optimization algorithm. The investigation result validates that the forecasted stress-strain curve for concrete specimen agrees well with observed one. The parameter inversion of micro-constitutive model for concrete materials can supply for foundations for precisely numerical simulation of discrete element methods.
Analysis of the atmospheric pollution transport pathways and sources in Shenyang, based on the HYSPLIT model
Authors: Ma Y F , Du B Y , Wang Q , Hu Q Q , Bian Y S , Wang M B , Jin S Y 
Published: October 2019

Abstract
The transport pathways and potential sources distribution of air pollutants are statistically analyzed based on the Hybrid Single–Particle Lagrangian Integrated Trajectory (HYSPLIT) model and the TrajStat method driven by the meteorological data of the Global Data Assimilation System (GDAS), and the concentration monitoring data of PM10, PM2.5, SO2 and NO2 in Shenyang, Liaoning Province in 2017. The trajectory classification method is used to analyze the main transport pathways affecting air masses during the research period. It is considered that the air masses in the northeast and northwest directions are the main reason for the high concentration of pollutants in the study area, while the air masses in the south direction are considered to be clean. Furthermore, the results of PSCF (potential resource contribution function) are consistent with the results of CWT (concentration–weighted trajectory). The potential sources that result in high concentrations of PM10 and PM2.5 are mainly located in southern Hebei Province, northern Shandong Province and the central and eastern Inner Mongolia Autonomous Regions. The corresponding potential source area shows a concentration of PM10 exceeding 150 μg•m−3 and PM2.5 exceeding 75 μg•m−3, while the source of nitrogen sulfide is mainly influenced by local sources.
A simulation-based method for analyzing energy demands in container terminals under different arrival interval of ships
Authors: Li X D , Peng Y , Wang W Y , Song X Q , Liu H K , Dong M 
Published: October 2019

Abstract
The contribution of this paper is to provide a simulation-based method to analyze the highly dynamic energy demands in container terminals under different arrival interval of ships. In order to overcome the complicated and stochastic operation processes in container terminals and obtain the energy demands at each time step, a simulation model is established. Then, various simulation models based on a container terminal in Northeast China are developed and carried out to study the impact of arrival interval of ships on energy demands. Finally, the energy demands in the container terminal are obtained and analyzed after running the simulation models. The results indicate that the energy demands represent a high randomness and large variations. When arrival interval changes from 5 h to 10 h, there is a sharp fall in the daily average energy demands, while as arrival interval changes from 15 h to 20 h, the daily average energy demands mainly concentrate between 0 MW and 1 MW. The obtained results and proposed method can provide references for power department policy making and balancing energy supply and demand in container terminals.
Test and analysis of high resolution regional model precipitation forecast based on wavelet
Authors: Gao H , Fan S Y , Zheng Z F , Zhang H L 
Published: October 2019

Abstract
In order to avoid the double punitive disadvantage of traditional test methods, based on the advantages of wavelet in multi-resolution analysisthe precipitation forecast products of RMAPS (Rapid-refresh Multi-scale Analysis and Prediction System) system are tested objectively. In this study, Haar is used as basis function. The test results show that the hourly precipitation forecast error of the 3km discriminant ratio of the forecast system is less than 15% for the precipitation process with the horizontal scale exceeding 94km. As the wavelet analysis scale decreases, the precipitation error gradually increases.
Numerical simulation on seismic behavior of a bridge under multi-support excitations considering site effect
Authors: Mei Z H , Li X J , Chen S , Fu L , Ni K C , Zhi H G 
Published: October 2019

Abstract
A series of numerical simulation were performed to investigate the earthquake response of a bridge under multi-support excitations considering site effect. Dynamic behavior of the bridge including the key position’s earthquake reaction and acceleration response had been demonstrated, respectively. Results show that the complex geological site had a great influence on bridge’s seismic response, especially on the superstructure. The research results could provide references for the seismic design and construction of bridge structure.
Information extraction of Baiyangdian wetland based on GF-2 remote sensing data
Authors: Meng C Z , Zhao C L , Le Z Y , Li R Y , Lu M M 
Published: October 2019

Abstract
The study on monitoring the water body range of Baiyangdian and the change of wetland information by means of remote sensing is of great significance to ensure the ecological security of Xiong’an New Area. This paper was conducted using the GF-2 remote sensing data on March and October 2018. The study was to provide an extraction model basing on NDVI-NDWI method, which compare with traditional supervised classification method. The selected sample points by using visual interpretation verified the extracted wetland information. The results show that the classification and extraction of Baiyangdian wetland information are carried out by using the model and supervised classification method respectively, and the wetland area (in which) is obtained in March. The precision of the sample points and the extracted wetland information are all above 90%, and the NDVI-NDWI method is constructed based on the NDVI-NDWI method. The extraction model is more accurate. Since the bare waters in March were 102.31 km2, 28.27 km2 more than in October; the area of aquatic plants extracted in October increased significantly from 122.57 km2 in March to 154.5 km2. It can be seen that the information of Baiyangdian wetland changes with the growth of aquatic plants. The model established by the institute can accurately extract the information of Baiyangdian wetland and provide a scientific reference for the planning and management of Xiong’an New District.