bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of BP neural network models in predicting the desulfurization rate of petroleum coke calcination flue gas
Authors: Lv Y W , Zhu Y , Jiang Y X , Xue L , Zuo L 
Published: December 2020

Abstract
Sulfur-containing prebaked anodes, mainly made from petroleum coke, can give rise to SO2 emission in the production of electrolytic aluminum. In order to study the correlation between the emission volume and desulfurization rate of the flue gas discharged from the calcination of petroleum coke, a traditional double hidden layer BP neural network model was established on the basis of BP neural network by taking the emission data of the petroleum coke calcination flue gas desulfurization system as input parameters. This model was used to predict the desulfurization rate of the petroleum coke calcination flue gas desulfurization system, with an aim to control the SO2 removal rate of flue gas through controlling the flue gas parameters of the desulfurization system, so as to reduce SO2 emission from the flue gas of the electrolytic aluminum industry. The study will be of practical significance for the SO2 removal of the petroleum coke calcination flue gas.
Classification and applicability analysis of ecological revetment in different types of river
Authors: Liu L L , Wang Y C 
Published: December 2020

Abstract
In this paper, we classified and summarized 25 kinds of ecological revetment commonly used at home and abroad in recent years according to river hydraulic characteristics and special functions. This paper focuses on the characteristics, materials and technical methods of these ecological revetments, and analyzes the advantages and disadvantages of ecological revetments from the aspects of ecology, landscape, construction, structure, economy and application. Combined with the ecological effects of these ecological revetment, the application scope and promotion significance of these ecological revetment are given, which plays a positive role in the promotion and application of ecological revetment.
The simulation of water quality control of Fengping section in Mangshi River
Authors: Li D T , Liu G , Wu S 
Published: December 2020

Abstract
The assessment of water quality is mainly based on Environmental Quality Standards for Surface Water (GB3838-2002), which divided surface water into five classes (Class I to Class V) according to its purpose for use and protection target. In April 2015, the State Council issued an Action Plan for the Prevention and Control of Water Pollution, which is a law formulated to effectively increase the prevention and control of water pollution and ensure national water safety. In 2016, the Yunnan Provincial People’s Government and the Dehong Prefecture People’s Government successively proposed work plans for the prevention and control of water pollution, requiring the Fengping Section (State Control) in Mangshi River to reach Class III of surface water by 2020. But the current water quality fluctuates between Class III and V. Based on the current status of water quality and pollution sources, the paper uses HD (hydrodynamic model) and AD (hydrodynamics advection diffusion model) in MIKE 21 FM model to establish the two-dimensional water quality model to simulate the distribution characteristic of different water quality parameters, which are Biochemical Oxygen Demand (BOD5), Total Phosphorus (TP), Ammonium Nitrogen (NH3-N). The conclusion is that reduction targets of BOD5, TP and NH3-N are namely 40%, 30% and 10% to ensure water quality, which guides the formulation of pollutant emission reduction plans more scientifically.
Analysis of the vitality measurement and correlation factors of urban waterfront space
Authors: Wang F , Zhao M X , Meng Q L 
Published: December 2020

Abstract
The long-term development of the city benefits from the creation of space vitality, and the vitality of waterfront space is an important factor that constitutes the city’s characteristic landscape. This paper uses mobile phone signaling data to measure the development trend of waterfront space from the perspective of crowd vitality through nuclear density analysis, paired sample test, and OD matrix analysis. In addition, the influencing factors of waterfront space development differences are measured by Geographic Weighted Analysis (GWR), so as to provide scientific theoretical basis for the layout of waterfront space construction in new cities. The study found that the construction of the waterfront space of the Qijiang River shows the trend of waterback development. The vitality of the waterfront space at different moments shows that the waterback trend of the waterfront space is more obvious during the day. And the main influence mechanism of the vitality of the waterfront space shows that the vitality of the waterfront space has a great correlation with the public service and commercial land, green space, residential land, the diversity of public facilities, the number of residents and the density of the road. Therefore, it is necessary to put forward the development strategy of waterfront space to optimize the regional development.
Water quality assessment of the river network in Wenzhou city using PCA-BP neural network model
Authors: Zhou F , Tian C C , Xu J L , Wei J 
Published: December 2020

Abstract
The water quality assessment is often challenged by how to determine the index weight and simplify the evaluation model. This paper proposed an integrated model called PCA-BP neural network model to solve the problem, which combines the dimensionality reduction capability of the improved principal component analysis (PCA) method with the self-learning ability of back propagation (BP) artificial neural networks. And its application for the plain river network in the main districts of Wenzhou city indicated that the evaluation result of PCA-BP was consistent with the single-factor method and PCA method in overall trend. It was demonstrated that PCA-BP model could evaluate the water quality of the study area more reasonably and accurately, as it avoided the disadvantage of a certain factor completely covering the information of the other ones in the single-factor method and the risk of over-optimism in PCA method as well.
Effect of hydrological regime on the sediment bacterial diversity and community structure in Sultanpur Lake, Gurugram, Haryana
Authors: Bhat Sandhya , Pamposh  
Published: December 2020

Abstract
The present study focuses on the changes in sediment bacterial community structure and diversity of Sultanpur Lake due to changes in its hydrological regime. The assessment of the bacterial community structure was done by using the Next Generation Sequencing of 16S rRNA amplicon, a bacterial phylogenetic marker. Sultanpur Lake is located in Sultanpur National Park Gurugram, in the state of Haryana, India. This place harbors great plant and animal biodiversity and serves as an important feeding, roosting and breeding ground for both resident and migratory avian fauna. Increasing pollution level and scarcity of water during summer months impose a great threat to the lake. Sediment bacteria are considered as reliable recorders of nutrient cycling and active mediums of biogeochemical processes and thus were assessed in this study. Wet and dry sediment samples were taken and analyzed for their bacterial community structure and diversity. The amplicon sequencing generated 881,118 reads which corresponded to 93 known species in case of dry sediments and 8,71,102 reads corresponding to 44 species in case of wet sediments. In dry sediments the top ten phyla were Firmicutes (26%), Bacteroidetes (14%), Proteobacteria (15%), Cyanobacteria (12%), Parcubacteria (7%), Euryarcheota (6%), Actinobacteria (5%), Armatimonadetes (5%), Chloroflexi (2%) and Planctomycetes (2%). In case of wet sediments, the top ten phyla were Firmicutes (35%), Bacteroidetes (22%), Proteobacteria (22%), Actinobacteria (7%), Chloroflexi (5%) Parcubacteria (3%), Verrucomimicrobia (3%) and, Deinococcus-Thermus (3%). There was change in the community structure at species level too with Clostridium species as the most dominant species in case of wet sediments and Lactobacillus species as the predominant one in dry sediments. This study provides an insight into the changes in the bacterial communities due to changes in hydrology and how this change will affect the health of this wetland as irregular water supply is a major stressor of this wetland.
Evolution characteristics research on summer-autumn consistent drought of Poyang Lake based on the copula in the changing environment
Authors: Xu B , Yuan Z , Sun K K , Lin Y R 
Published: December 2020

Abstract
The precipitation series is the main data to calculate the parameters and the frequency of drought, aim to the less considering with the inconsistency of precipitation series in study of drought research under the changing environment, and the less reasearch on the drought evolution characteristics within the basin before and after the hydrological alteration, the hydrological alteration diagnosis system was used to diagnose the summer and fall precipitation series of Yichun, Nanchang etc. and 9 meteorological station in total within the basin of Poyang lake. Based on the hydrological alteration results and considering the Copula function, the percentage of precipitation anomaly (Pa) was taken as the drought index to calculate the percentage of summer-fall consistent drought of meteorological stations. The results show that, the alteration of precipitation series in summer was obvious at Poyang lake, comparing with the period before the alteraion, the percentage of summer-fall consistent drought of Poyang Lake is decreasing, that means the recurrence period of summer-fall consistent drought becomes longer, the main reason that induce the much more serious drought in the Poyang Lake is the factor of water expenditure.
Multi-objective ecological operation of cascade reservoirs based on MGCL-PSO algorithm
Authors: Wang T , Mo L , Shen Q , Zou Y B , Yi M 
Published: December 2020

Abstract
The reasonable utilization of river water resources requires the joint operation of cascade reservoirs. Aiming at power generation and ecological environment protection, taking the Qingjiang cascade reservoir group as the research object, a multi-objective optimization model for maximum power generation considering ecological base flow and minimum ecological flow changed is established. The results of the multi group cooperation operation particle swarm optimization (MGCL-PSO) model based on population cooperation show that the multi-objective of power generation and ecology can achieve a better balance by slightly reducing the power generation. Several schemes with good convergence are obtained from the calculation results, which provide a reference for the operation of cascade reservoirs.
Study on the relationship between inorganic nitrogen or phosphorus and dissolved oxygen in seawater
Authors: Lin Z G , Du J L , Feng L Q , Li G , Xu R , Yang Y 
Published: December 2020

Abstract
We analyze the linear correlation between dissolved inorganic nitrogen (DIN), phosphate (PO4-P) and dissolved oxygen (DO) based on on-site monitoring data at Zhoushan in May 2016, and construct the DIN, PO4-P and DO related model using neural networks in this paper. Based on the model, we predict the concentration of DIN and PO4-P in seawater by DO data. From the data analysis, the root-mean-square error of prediction (RMSEP) is less than 0.2, and the predicted values of DIN (including NH3-N, NO2-N, and NO3-N) and PO4-P are basically consistent with the changes in measured values. The correlation coefficient between NO2-N and DO is the largest at 0.6247, and the RMSEP is the smallest at 0.1119.
Draw on artificial neural networks to assess and predict water quality
Authors: Fernandes A , Chaves H , Lima R , Neves J , Vicente H 
Published: December 2020

Abstract
Water is one of the important vehicles for diseases of an infectious nature, which makes it essential to assess its quality. However, the assessment of water quality in reservoirs is a complex problem due to geographic limitations, sample collection and respective transport, the number of parameters to be studied and the financial resources spent to obtain analytical results. In addition, the period between sampling and analysis results must be added. This work describes the development of an Artificial Neural Network (ANN) to predict the biochemical and chemical oxygen demand based on the water pH value, the dissolved oxygen, the conductivity and its temperature. The models were trained and tested using experimental data (N=605) obtained from superficial water samples used to irrigate and produce water for public use, collected between September 2005 and December 2017. To evaluate the performance of the ANN models, the determination coefficient, the mean absolute error, the mean square error and the bias were calculated. It was determined that an ANN with topology 4-6-5-2 could be used successfully to predict the variables’ output. Indeed, good agreement was observed between the observed and predicted values, with the values of the coefficient of determination ranging from 0.813 to 0.979.
Prediction of octanol-water partition coefficients for alkyl-PAHs based on the solvation free energy
Authors: Li W R , Song G B , Ding G H , Gao H 
Published: December 2020

Abstract
Octanol-water partition coefficients (KOW
) are of great importance in assessing the environmental fate and risk of hydrophobic organic pollutants including alkyl-polycyclic aromatic hydrocarbons (alkyl-PAHs). Due to the time-consuming and laborious of experimental determination of KOW
, it is desirable to develop a rapid and accurate prediction model for the KOW
of alkyl-PAHs. In this study, a prediction model for log KOW
of alkyl-PAHs was developed according to the thermodynamic relationship between KOW
and the solvation free energy from n-octanol phase to aqueous phase (ΔGOW
). ΔGOW
values of alkyl-PAHs were calculated by the SMD model. The effect of dimer formation on the partition behaviour and partition coefficient was explored. After taking the effect of dimer formation into account, the goodness-of-fit, predictive ability, and robustness of the prediction model was significantly improved. The developed model in this study had the superiorities of universal application domain, low dependence on the experimental values and clear model mechanism.
Runoff simulation of Tangnaihai hydrological station in source area of Yellow River based on SWAT model
Authors: Li K , Wang Y Q , Xu J J , Hong X F , Feng Y 
Published: December 2020

Abstract
Studying the applicability of the SWAT model in the source area of the Yellow River is helpful for the comprehensive management of water resources and hydrological cycles in the source area of the Yellow River. The SWAT monthly runoff simulation model was constructed using DEM data, land use data, soil data and meteorological station data in the source area of the Yellow River, and the parameters were calibrated using the SUIF-2 algorithm in SWAT-CUP2012, with determation coefficients R2 and Nash-Sutcliffe efficiency coefficients (NSE). The results show that the fit between the monthly runoff simulation process and the measured runoff process in the source area of the Yellow River is close. The R2 and NSE were 0.77, 0.76, 0.90, and 0.89 in the model calibration period 2000∼2009 and verification period 2010∼2013, respectively. This shows that the SWAT model simulates the monthly runoff process of the source area of the Yellow River satisfactoriy, that is, the SWAT model e has good applicability in the Yellow River source area.
Comparison of the modified Monod and Droop function combined with Logistic function for describing algae growth
Authors: Kong W W , Huang S L , Shi F F , Yang Z J , Feng Y B , Khatoon Z 
Published: December 2020

Abstract

Microcystis aeruginosa (M. aeruginosa) are algae found in common freshwater blooms in China, and Dunaliella tertiolecta (D. tertiolecta) are economically important marine algae. Understanding of the microbial growth kinetics plays a significant role in the management of M. aeruginosa’s blooms and biodiesel production by D. tertiolecta. This study has shown that the combination of mechanistic models (Logistic and Monod) proved to be efficient in describing relationship between M. aeruginosa growth rates and specific concentrations of total dissolved phosphorus (TDP), orthophosphate (PO4
3--P), total dissolved nitrogen (TDN) and ammonia (NH4
+-N) reasonably with R2=0.28-0.93. Meanwhile, results also show that both PO43--P and NH4
+-N are important forms of TDP and TDN in influencing M. aeruginosa growth. It was also noted that the combination of modified Monod and Logistic functions is suitable for describing specific growth rates of D. tertiolecta versus extracellular nitrate concentrations (R2=0.24-0.72). In terms of the combination of Droop and Logistic functions, it was analysed to better explain the relationships between M. aeruginosa specific growth rates and cellular P and N concentrations (R2=0.41-0.86) as compared to the application of Droop function alone. It is also observed that the relationship between D. tertiolecta specific growth rates and intracellular nitrate concentrations also can be well described by the combination of Logistic and Droop functions. In addition, M. aeruginosa growth was affected by less intracellular P concentrations than intracellular N concentrations. In sum, the combination of modified Monod and Logistic functions and the combination of Droop and Logistic functions all can predict algae growth reasonably well, while the combination of Droop and Logistic functions is slightly better. Meanwhile, it is through these two combinations that two sets of better parameters in modified Monod and Droop functions can be respectively obtained to characterize algal population kinetics with changing nutrient concentrations.
High-resolution hydrometeorological forecast in Southwest China based on a multi-layer nested WRF model
Authors: Chen Z N , Li J , Zhu Y , Hu L C , Wen X , Lei X H 
Published: December 2020

AbstractIn this study, a high-resolution (5km:1km) regional hydrometeorological simulation (Weather Research and Forecasting, WRF) in Southwest China was evaluated by comparisons with the multiple General Circulation Model (multi-GCM) ensemble mean from Coupled Model Intercomparison Project phase 5 (CMIP5) and in-situ observation data, to prove its advantage to precisely delineate the regional complex topographical and climatic conditions. The temperature and precipitation were selected to evaluate the model performance skills. Simulations of the spatiotemporal rainfall and near-surface air temperature distribution across the entire research area and at four specific sites (Ganzi, Daofu, Jiulong Huili) were analyzed based on observational data from 2007–2010. Overall, both the WRF and multi-GCM demonstrated satisfactory capabilities in representing seasonal variation, but systematic biases remained. The regional average near-surface air temperature of WRF outputs had cold biases of −4.91, −1.96, −3.92 and −8.17°C in spring, summer, autumn and winter, respectively, and wet biases of 40.5 – 428.5 mm in cumulative precipitation over the four seasons. Overall, the multi-GCM means had consistent bias, but were closer to regional averages derived from in-situ data. At the four validation stations, the WRF outputs consistently performed better for temperature and precipitation according to the correlation coefficient, root-mean-square error, and index of agreement. The simulation capabilities identified herein can serve as a foundation for addressing WRF model biases and improving projection accuracy in the future.
Analysis of the influence of stratum on karst development features: Taking Longtan river basin in Youyang County as an example
Authors: Chu X F , Yu S , Wei K X 
Published: December 2020

Abstract
As the carrier of karst water, the stratum is capable of impacting the water yield property and karst development features, so this paper aims to find out how the stratum characteristics affect the karst water. The study site was Longtan river basin, a typical area of karst topography, located in Youyang County, Chongqing, China. Throng the statistics and analysis of the characteristics of karst water and strata, it was obvious that the thickness of strata has a significant impact on the karst water. In epi-karst, it was demonstrated that as the rock layer thickened, the flow of karst water decreased, but the number of karst springs tended to increase. The influence law was similar in deep layers, that is the relation between the stratum thickness and the average flow could be fitted by a power function, and the stratum thickness and the length of underground river, an exponential one. In addition, the flow-rate of water yielded was likely to drop fairly rapidly while the strata get deeper. Therefore, this paper successfully put forward a method, which can estimate the water resources quantity of karst water as long as the stratum thickness was available and provide a reference for the subsequent evaluation of water-abundance.
Research on the Evaluation of Tourist Satisfaction in Wuhan City Tourism Destinations Based on the Quadrant Graph Model
Authors: Li Q , Zhang Y 
Published: December 2020

Abstract
Based on the research review of urban tourism and tourist satisfaction, this paper builds a tourist satisfaction evaluation model for urban tourism destinations to obtain tourist satisfaction and importance values of different evaluation indicators, and uses the quadrant graph model to evaluate the urban tourism status of Wuhan Conducted empirical research, analyzed various factors influencing tourist satisfaction and included them in the advantage zone, maintenance zone, opportunity zone and repair zone respectively, and put forward corresponding suggestions for improvement.
Study on the sensitive ecological flow of mountainous river under the action of the weir group
Authors: You A J , Hua L , Xu K P 
Published: December 2020

Abstract
Mountainous rivers are the key area of weir-building for water and hydroenergy storage with abundant energy resources. In view of the intensive construction of river weirs in the mountainous areas of Zhejiang Province, with the aim of meeting fish migration demand and maintaining the longitudinal continuous flow of rivers, this paper put forward the idea and method of determining sensitive ecological flow. Taking the typical section of Majinxi, a tributary of the Qiantang River as an example, the sensitive ecological flow based on the suitable flow rate of fish and the submerged flow of the weirs were calculated by hydrodynamic method. On the basis of the analysis of the hydrologic characteristics of the studied river reach, the criteria for determining effective flood pulses was put forward, and the assessment of ecological flow satisfaction was carried out. The research showed that in order to eliminate the barrier effect brought by the weir group, the short-term flood peak flow was large and low satisfied. It was proposed that fish paths or ladders should be added to the dam, or the form and density of the dam could be optimized to reduce the demand for sensitive flow.