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The analysis of civil aviation's passenger turnover is of great significance to civil aviation department. According to the data of civil aviation's passenger turnover in the last 12 years, using the X11 method, the long-term trend was separated, and the results showed that the civil aviation's passenger...

Using investigation on As in Jiaozhou Bay in April and July 1981, this paper researched the vertical distribution and seasonal variation of As contents, and defined the mechanisms. Results showed that As contents in surface and bottom waters were both in order of spring > summer. The sedimentation of...

Urban air pollution is one of the most urgent problems to be solved in the process of China’s economic development and urbanization. Aiming at the spatial-temporal evolution problem of air quality in Henan province, this paper, based on the daily average data of urban air quality index of Henan province...

This research compares the ARIMA, SARIMAX, and hybrid Holt-Winters with SARIMAX models for projecting Active Power consumption using hourly observational data from January 1, 2023, to December 31, 2023. For effective energy management and resource allocation in situations with fluctuating demand, an...

The variations of ambient temperature can change the state of the supporting structure of the reflector for Five-hundred-meter Aperture Spherical Radio Telescope. The purpose of this research is to monitor the temperature and the varieties to find their relationship. Firstly, the temperature monitoring...

Based on the investigation data on Pb in Jiaozhou Bay in May, September and October in 1983, were analyzed the horizontal and seasonal distribution of Pb. The results in this paper showed that Pb contents in surface and bottom waters were closed in the bay mouth in different seasons. For seasonal distributions,...

In this article a fuzzy multiobjective chance constrained programming model is used for modeling and solving land allocation problems efficiently with the help of fuzzy goal programming. Optimal production of seasonal crops and related expenditures are considered from the viewpoint of proper utilization...

We combine with seasonal decomposition method, and employ multi-level sensor prediction (MLP, Multilayer Preceptor) method, take prediction of 2014 cigarette sales in Guizhou as example, monthly and quarterly cycle MLP prediction models were put forward, results of the prediction precision were analyzed,...

With economic activity changes periodically as the seasons vary, the time series of macroeconomic data is usually seasonal. This paper is different from the traditional way of proceeding seasonal adjustment before analyzing the macroeconomic time series. Instead, we propose a seasonal prediction model...

In this paper, energy efficiencies of two heating systems with heat pump, latent thermal energy storage (LTES) and solar collectors that are working in moderate continental climate conditions were numerically analysed and compared. The two considered LTES roles are the heat source for the heat pump (LTES...

This paper discusses the application and optimization methods of time series models in the financial field, focusing on the effectiveness of Autoregressive Integrated Moving Average (ARIMA) models and their hybrid models in actual cases. The prediction results of several hybrid models selected in this...

The Malagufuk Forest in Southwest Papua Province is a lowland tropical forest in Papua. It has a diversity of species and is managed independently by the local community, maintained, and has initiatives for ecotourism. This study was conducted to examine land cover patterns and vegetation composition...

In this paper, the performance of battery storage systems in combination with micro combined heat and power (CHP) systems are systematically investigated by computer simulations for the supply of single-family houses in various settings. As input parameters for the analysis, energy demand-time series...

The Air Quality Index is a good indication tool for the monitoring of air quality in smart cities and the assessment of the cleanliness or pollution level of air. Predictions of AQI values can facilitate people and authorities in taking precautionary steps like avoiding exposure to the outdoors on days...

This paper analyzed the vertical and seasonal distribution of Cd in Jiaozhou Bay bottom waters in 1983. Results showed that Cd contents ranged from 0.13-0.53 g L-1, indicated that the pollution level of Cd in Jiaozhou Bay was very low in the early stage of reform and opening-up. Cd contents in surface...

The analysis of port handing capacity is of great significance to the construction and planning of the port. Using the data of the last 12 years, X11 method is used to separate the long-term trend. The results show that the port handing capacity tends to increase linearly. We use difference method to...

The article analyses the practice of the automated trip payment system’s (ATPS) implementation in public transport of the Republic of Crimea in terms of its organizational and management peculiarities. In order to achieve the objective of the article, the following problems have been solved: the characteristics...

This study was aimed to determine the risk factors associated with COVID-19 infection among contacts of index cases in Saudi Arabia. This unmatched case–control study was conducted among contacts of confirmed COVID-19 cases in April and May 2020 in Al-Madinah, Saudi Arabia. A total of 118 cases and 115...

The refractivity of the lower atmosphere is responsible for several anomalies in microwave propagation such as ducting, scintillation, refraction, fading, including range and elevation errors in radar and data acquisition. It is needful to develop models which could be used to predict refractivity. In...

Internet-derived information has been recently recognized as a valuable tool for epidemiological investigation. Google Trends, a Google Inc. portal, generates data on geographical and temporal patterns according to specified keywords. The aim of this study was to compare the reliability of Google Trends...

Food waste significantly contributes to global greenhouse gas emissions, water and air pollution, and socio-economic issues, including in Bali Province. In Bali, increased tourism correlates with population growth and a rise in organic waste, reaching up to 59.10% of total waste. This is largely dominated...

Proper evaluation of river water quality is the key to the sustenance of the eco-system, sustainable use of resources, and the preservation of human health. In the current work, we will present an artificial intelligence-based algorithm that will predict the Water quality index (WQI) of Indian rivers...

Using the ultraviolet observation data of Huangshan Scenic area from March 2017 to February 2018, this paper analyzes the relationship between the daily, monthly and seasonal variation characteristics of ultraviolet radiation intensity and its related meteorological elements. The results show that the...

A comparative genetic examination of children with varying degrees of asthenization of the nervous system, living in the Far North of Russia was carried out. The polymerase chain reaction method on BioRAD CFX96 Real Time System was used to study the following polymorphisms: A1166C of AGTR1 angiotensin...

This study investigates the autecological determinants influencing the distribution of Vachellia nilotica (L.) P.J.H. Hurter & Mabb., an invasive species in Java and the Lesser Sunda Islands, Indonesia. Using a Species Distribution Modeling (SDM) approach, we aimed to identify the environmental factors...

In seasonal permafrost regions, the freezing and thawing of seasonally active layers can significantly change the site ground vibration characteristics and thus have a great impact on the seismic response of buildings. In this study, a three-dimensional finite element model of pile foundation is established...

One problem with utilising solar renewable energy sources, for domestic space heating and domestic hot water in the UK is the mismatch between energy supply and energy demand due to the seasonal variation. One way to mitigate this phenomenon is to utilise seasonal thermochemical heat storage. 13X molecular...

As the requirement of smart grid increasing, a twice clustering algorithm is proposed here to extract the characteristic of load data curve. In addition, the calculating algorithm of load performance is also provided to analyze the curves, including seasonal maximum load curve, seasonal safe load curve,...

The autarchic communities are an attractive scenario that more and more local actors strive to achieve. In electricity autonomous cases a battery system stands as prerequisite to succeed renewables time shifting due to the intermittent nature of decentralized generation. In the present study the local...

Bangladesh, being completely of a low-lying landscape and extensive river systems, highly exposes its terrain to seasonal flooding that inundates roughly 25% of the lands in this country every year. This is an escalating threat which climate change and rapid urbanization are intensifying further. In...

Solar assisted district heating systems (SDHS) is a promising pathway towards sustainable transaction to clean energy production. However, the technical performance variation due to the misestimation of the seasonal storage tank (SST) combined with inadequate financial assessment and insufficient environmental...

Karst underground water is the foundation for meeting water needs for most people in the karst region. Therefore, its sustainability needs to be maintained properly through good management. Management of underground karst water really needs to pay attention to the characteristics of the user and environmental...

Traditional railway route selection requires manual fieldwork over long periods, which is physically demanding and subject to seasonal weather conditions, leading to an uneven annual production cycle and low efficiency. With the introduction of high-tech methods and the significant development of artificial...

Double Seasonal Autoregressive Integrated Moving Average (DSARIMA) model is an extension of the single SARIMA that is incorporated in modelling data with two seasonality. Model identification, parameter estimation and diagnostic checking are the steps in the modelling. However, the model identification...

The paper considers the influence of different covers, such as crop residues, soil crust, etc. on the remote determination of humus content in soils of agricultural land. It is shown that in laboratory conditions with dry soil there is a close relationship between the humus content and spectral reflective...

The environment condition in the central economic region of Mongolia has been degrading due to overgrazing, legal and illegal mining, arable land, expansion of settlement areas, migration to cities from rural areas, population growth. Determining the intensity and spatial distribution of the human impact...

High fluctuations of renewable energy sources, such as wind and solar energy, require storage capacity to maintain supply reliability. For long term storage energy carriers to substitute fossil fuels must be found. The reduction of carbon dioxide to liquid substances such as formic acid or formate with...

This study analyses seventy years (1951–2020) of rainfall patterns in Kerala, focusing on long-term variability, extreme events, monsoon divergence, and seasonal rainfall concentration. Monthly rainfall data from 83 stations across all 14 districts were used to create a time series at both district and...

The Solar assisted district heating system (SDHS) is a promising path to accelerate the sustainable movement toward clean energy production in order to solve the challenges of the energy crisis and climate change. However, in real conditions the SDHS is often suffering from a mismatch between the predict...

Researchers have studied meteorological influences on PM2.5 concentration in Dhaka City with limited data and there is a need for further study. This study analyzes time series data (i.e., decadal data: 2013-2022) encompassing the most recent years to better understand long term state of PM2.5 concentration...

Study of the joint daily variability of wind speed and solar activity in the Gulf of Finland and its impact on renewable energy sources. The combined distribution of the daily mean insolation and wind speeds shows that insolation has a much stronger seasonal cycle than wind, due to the tilt of the Earth’s...

According to the library book borrowing amount data from June 2013 to December 2018 at Qilu University of Technology (Shandong Academy of Sciences), this work studied the statistical laws of data series of borrowing quantity. Based on the combination of seasonal effects, long-term trends, and random...

As the frequency of extreme climate events escalates, the financial systems face significant challenges. This paper empirically examines the effects of extreme climate on the volatility of agricultural product futures prices by constructing a network of agricultural product futures. The findings reveal...

The research object of electricity marketing is electricity consumption market. It is of great significance for judging the trend of its development and guiding the decision maker to analyze the prosperity of electricity consumption market. This paper put forward an entire system from disposal to filter...

Climate impact assessment models can have outputs that are sensitive to biases on the local scale. Hence, bias correction methods are used to amend the distribution of the climate impact assessment model in order to match the local observations. A great deal of errors can be removed from the model after...

As a creditor's right of enterprises, accrued income directly influences the actual earnings level of enterprises. Based on the seasonal data from 2009Q1 - 2015Q3, by selecting the relevant indicators of accounts receivable as the indicators of measuring accrued income, an empirical test on the relevance...

Renewable Metal Fuels (ReMeF) have great potential to store renewable energy for several months. A thorough criteria evaluation of possible candidates was conducted, considering (1) abundance in the Earth's crust, (2) world reserves, (3) market price and its development, (4) energy density, and...

The problem of seasonal energy storage, where excess renewable energy in the summer months is stored to cater for the winter season, is an active topic being researched [1, 2]. The solution being proposed in this paper targets residential homes, and is the result of the development of a microCHP with...

Selecting Jinghong hydropower station as a study case, we studied the spatial-temporal change of land use and landscape pattern during 2004,2009 and 2013 based on the application of RS interpretation , ArcGIS 10.1 analysis and Fragstats3.4. The results showed that: 1) Area of tea garden, traffic land,...

The purpose of this research was to predict seasonal time series data using the Holt-Winters exponential smoothing additive model and the Seasonal autoregressive integrated moving average (ARIMA). The data used in this study is data on farmer term of trade at Nort Sumatera in 2016–2020, the source of...