bluuebunny/crossref_metadata_2025_split huggingface dataset:
Key drivers of the rebound trend of China’s CO2 emissions
Authors: Zhang Yaxin , Zheng Xinzhu , Cai Wenjia , Liu Yuan , Luo Huilin , Guo Kaidi , Bu Chujie , Li Jin , Wang Can 
Published: July 2020

Abstract
China’s CO2 emissions declined by 5.1% in 2013–2016 as China steps into a new period of development, in which the economy shifts from the previous high-speed growth driven by input and investment to a medium-speed growth driven by innovation and consumption. However, the decline did not continue; the national CO2 emissions rebounded since 2016, with the drivers of the rebound unclear. Here, we apply the input–output structure decomposition analysis to decompose emissions in 2002–2017 to reveal driving factors of the emission rebound trend. Results show that the input–output structure among sectors (partially reflecting production structure) and the demand pattern have contributed to emission reduction as China entering ‘the new normal’ pattern of development. However, the two factors reversed and therefore induced emissions, contributing to 5.2% and 0.1% of the increase in emissions since 2015. Such obvious contribution reversal can be explained as a new round of infrastructure stimulated substantial energy consumption and the electricity demand was mainly supported by coal-fired power (59.0%). Besides, the emission reduction effect of the energy mix has shrunk from −11.8% in 2012–2015 to −6.9% in 2015–2017, closely related to the slowing growth of renewable energy and the slight recovery of coal consumption. The findings can reasonably infer novel insights into curbing the potential reversal of China’s emission trend and aligning China’s CO2 emission trend with the goal of achieving peak emissions before 2030.
Analysis of the tree stands health status in the near border area of Russia and Finland based on the regular grid of sample plots and GIS-technologies
Authors: Alekseev A , Vetrov L , Gurjanov M , Nikiforchin I , Chernikhovsky D , Chernov I 
Published: July 2020

Abstract
During the summer field season of 2019, the state of stands in the border zone of Russia and Finland was assessed on the basis of previously established regular network of permanent sample plots (PSP) of the ICP-Forests program. The research was conducted on the territory of the Vyborg district of the Leningrad region located closely to Finnish border. PSP are arranged as a regular network with a step of 4-8 km. Each PSP is a 4-element cluster, strongly oriented to North-South and West-East, consisting of 4 subplots, on each of which evaluated the health state of 6 specially selected model trees. Also occurrence of natural damaging factors such as insects, deceases, wind withdrawals, snow and frost damage as well as manmade such as forest fires, air pollution, garbage dump was registered. Special attention was paid to assessing the availability and stock of dead wood. All collected data was put into special database and analyzed using MapInfo 10.0 Professional software to reveal spatial regularities in tree stands health status characteristics. The concept of tree stand “temperature” was used in statistical analysis of trees distribution over damage classes to interpret the tree stands health status in more holistic and transparent way.
Solution of urgent problems of training specialists for the forest industry within the framework of the international project «Digital Forest Pedagogy»
Authors: Gromskaya L , Zhuk Yu , Kuznezov E , Katsadze V 
Published: July 2020

Abstract
In the article the problems of high forest education are considered. The problems associated with organization of an effective training process for the forest sector specialists have been highlighted. The urgency of raising the qualification and competence of specialists of the forest industry by using innovative teaching methods in training is justified. Possibilities of use of distance educational technologies for training of students and for improvement of professional skills of workers of the enterprises of forest sector are considered. Possibilities of the development of distance learning technologies which are realized by the international project of cross-border cooperation of South-East Finland and Russia KS1027 “Digital forester pedagogy”(DIGIFOR) are presented.
Opportunities and prospects of IoT application in landscape architecture, design and information and communication technology
Authors: Kalambet M , Yagotinceva N , Kolbina O. , Yagotinceva T. , Aksenova A. 
Published: July 2020

Abstract
Article represents the application of mathematical device for the calculation of irrigation regimes in drip irrigation systems. The accounting of both soil-climatic and physiological parameters of plants has been introduced. An example of calculating the norm of irrigation in the operational planning of drip irrigation modes is given. An option has been developed for introducing intelligent systems for operational planning of irrigation.
Digital simulation of forest multioperation machine operation
Authors: Karpachev S , Bykovskiy M 
Published: July 2020

Abstract
In this article, an innovating multi-operational forest machine (MOFM) is proposed. MOFM is based on the tractor processor (TP) and it is planned for bucking trees and making bundles from waste wood. The article presents the results of digital simulation experiments with MOFM compared with TP. The article gives the results of modelling of forests with a reserve of 150 m3/ha and with an average volume of tree trunk volume 0.40 M
3. In the article, the length of the winch rope is assumed from 10 to 30 m. Experiments were performed for different technology options. When working in parallel operations of the MOFM and winch, productivity increases with increasing skidding distance. Productivity increases until the skidding cycle time is less than the MOFM cycle time. After that, MOFM productivity decreases. For our case, the optimal skidding distance is close to 25 m. The length of the queue of trees to MOFM is increased as the skidding distance increases. The queue length stops growing when the skidding distance is 25-30 m. Digital simulation models were realized as computer programs. These models allow you to choose rational MOFM parameters for different forest characteristics.
Digital simulation of multioperational forest machine with a bundling device
Authors: Karpachev S , Kaznacheeva N 
Published: July 2020

Abstract
In this article, an innovating multi-operational forest machine with a bundling device (MOFMB) is proposed. MOFMB is based on the tractor processor (TP) and it is planned for felling trees, delimbing-bucking operations and making bundles from logging residuals. Two technologies of the MOFMB operation are considered. The first technology provides for sequential operation of the MOFMB mechanisms without combining the operations of felling and processing trees. The second technology provides for parallel operation of the MOFMB mechanisms with a combination of felling and tree processing operations. As a result of simulation experiments, it was found that the tractor achieves the highest productivity in the case of parallel operation of its mechanisms with a combination of operations of felling and processing of trees. At this case, the utilization of the manipulator on the tree felling and the processor on the tree processing and logging residuals packaging will be maximum.
Formation of the cultural landscape of urban environment using Geographic Information Systems Technology
Authors: Khamitova S M , Khamitov P S , Fedchenko E I , Ivanova M A , Yuzhakov D E 
Published: July 2020

Abstract
This article is devoted to the formation of the cultural landscape of an urbanized environment using Geographic Information Systems Technology. Urban plantations are the predominant elements of the natural environment. Urban plantations form the basis of cultural landscapes with their areas and diversity. The article describes the green spaces in an urban environment. In 2019, the greening of the streets of the city of Vologda was carried out. We have created an electronic greening map of the city of Vologda in the program Quantum GIS. Such a map will allow monitoring the improvement and landscaping of the territory, which will save all the useful information about the creation of plantings.
Forest change detection based on sub-pixel tree cover estimates using Landsat-OLI and Sentinel 2 data
Authors: Khovratovich T , Bartalev S , Kashnitskii A , Balashov I , Ivanova A 
Published: July 2020

Abstract
The paper presents a method of forest change detection and its application for clear-cutting and selective logging disturbances assessment. Based on optical remote sensing data it uses of satellite images and sub-pixel estimation of tree cover, performed by using linear spectral mixture model for estimation of forest area portion in each pixel. The paper describes the main steps of the change detection method and the influence of algorithm input settings on the results. The method was implemented as a satellite data processing tool and was tested on selected sites in Primorsky Krai and the Republic of Udmurtia regions. Forest change maps related to logging in year 2016 were developed over the test areas using the Landsat 8 and Sentinel-2 satellite data. The paper compares obtained change areas with official logging statistics and Global Forest Change project data in order to evaluate the method performance for clear-cutting and selective logging area detection.
Information Support in Environmental Monitoring Systems
Authors: Kraeva E , Kunturov A , Miklush V , Palkin I , Tatarnikova T 
Published: July 2020

Abstract
The current issue of environmental safety in General, and the world ocean in particular, is discussed. The main sources of pollution of the world’s oceans are listed, which, when combined, lead to progressive eutrophication of coastal marine zones and microbiological water pollution. It is shown that in order to detect pollution sources in a timely manner, predict their spread, and monitor the progress of mitigation and mitigation measures, it is necessary to organize monitoring at the protection facility. The structure of environmental monitoring is considered with a description of the functions of the system that implements the process of monitoring the object of protection. A matrix approach is proposed to determine the structure and parameters of the monitoring system, where types of pollution are deposited horizontally, and types of fields – electromagnetic, optical, infrared, acoustic, hydroacoustic, and seismic-acoustic-are deposited vertically. The matrix is formed for the territory where the monitoring system will be located and allows you to identify the most dangerous sources and determine the composition of monitoring tools.
Vegetation Cover Change in Kologrivsky Forest Nature Reserve Detected using Landsat Satellite Image Analysis
Authors: Lebedev A V , Zavarzin V V , Gemonov A V 
Published: July 2020

Abstract
Remote sensing of the Earth data and the results of their thematic interpretation are of great importance in monitoring forest biodiversity. Using the example of the Kologrivsky Forest Nature Reserve, a thematic interpretation of Landsat 5 images was carried out. The best quality classification of natural objects was achieved using the Random Forest and CatBoost algorithms. For the period from 1984 to 2011, thematic maps of prevailing tree species were obtained, according to which the main directions of changes in the vegetation cover were identified.
Monitoring forest fires and their consequences using MODIS spectroradiometer data
Authors: Martyn I , Petrov Y , Stepanov S , Sidorenko A , Vagizov M 
Published: July 2020

Abstract
Identification of fires by satellite methods and means is one of the main tasks of the modern forest fire monitoring system. The article presents a method for mapping forest fires based on the data of the MODIS Spectroradiometer, based on the analysis of the obtained images using the ScanMagic software package. In September 2009, a blocking anticyclone was established in Australia, contributing to an abnormal increase in temperatures, lack of precipitation, and as a result, the emergence of massive forest fires that led to smoke in the region. Studies have been conducted on the example of this phenomenon. As a result, the results of the study are considered, the analysis of changes in the number of fire centers and the assessment of smoke development is carried out. Currently, this method is well established and is used for detecting and analyzing fire situations, including in Australia with a wider range of functions presented in this paper.
Prospects for the use of digital technologies for monitoring green spaces in Saint-Petersburg
Authors: Melnichuk I , Tsuvareva N , Shlapakova S 
Published: July 2020

Abstract
The article analyzes the composition of Saint-Petersburg green spaces, the availability of green spaces for residents, the assortment of tree and shrub plants and their resistance to anthropogenic impact. We propose a solution to the problem of obtaining scientifically based information about the state of urban and suburban plantations based on modern digital technologies - Tree Talker monitoring. The organization of a monitoring system using modern methods in combination with traditional methods allows you to get reasonable and timely recommendations for the protection of plantings.
Assessment of road density in logging areas using geographical information systems
Authors: Mokhirev A , Medvedev S 
Published: July 2020

Abstract
In Russia, the density of forest roads is significantly lower than in countries with a developed forest industry. This negatively affects the logging efficiency and the yield of wood per unit area. There are different opinions on the normative and actual values of the density of forest roads in the forest regions of Russia. Today, it is possible to assess the density of forest roads and analyze its development using modern geographic information systems (GIS). In these studies, the density of forest roads is determined using the ArcGis software package on the territory of two forest districts of the Krasnoyarsk region. Roads located on the investigated areas territory are digitized and divided by types: year-round highway, branch, and logging road. Using the tools of the software package, the lengths and densities of roads are determined by their types. The obtained values are consistent with the indicators of other researchers from different regions of Russia. The results of this task are necessary for planning logging production when searching for wood delivery optimal routes, taking into account natural and climatic conditions.
Organizational and management mechanisms for the digital transformation of economic activities
Authors: Morkovkin D E , Kolosova E V , Sadriddinov M I , Semkina N S , Gibadullin A A 
Published: July 2020

AbstractThe study is devoted to the development of digital technologies in the forest industry, which potential in Russia is practically not measured and belongs to the state ownership at all. The work revealed that forests are exposed to fires, illegal logging, flooding, the spread of diseases, etc. every year, which requires state and regional structures to constantly monitor and control the state of the forest fund. The study conducted an analysis of indicators related to the state of the forest fund, which revealed that in recent years, the volumes of forests and wood have not changed, but there is an increasing tendency to destroy them. Based on the results of the analysis, it was suggested that in order to effectively account for, analyze, monitor and control the forest in the forest industry, it is necessary to apply digital technologies that will allow for the effective implementation of annual forestry supervision. At the end of the study, the stages of digital forest taxation related to the control of the number of tree stands were presented.
Using remote sensing and GIS to monitor of land cover change in the Middle Volga region during 1985-2014
Authors: Polevshchikova Yu 
Published: July 2020

Abstract
Study of land cover change is one of the most significant fields in sustainable development in forestry and prevention of ecological degradation in the Middle Volga region. Land use change can directly transform wide landscapes, impact on the biodiversity and eco-productivity. Due to these remote sensing technologies, take an important place in such research. GIS techniques are widely used for land cover change monitoring under climate change and human impact but the lack of reliable information on land use changes remains a major challenge of today. The research covers the assessment of land cover change caused by different types of natural and human disturbance in the Middle Volga region of the Russian Federation. This paper argues the method of monitoring of land cover change using satellite information and assessing land cover that can be beneficial for the further research affecting changes over different space and time scales.
Optical navigation of unmanned aircraft systems
Authors: Prisyazhnyuk A , Karmanov A , Prisyazhnyuk S , Karmanova N , Makarenko A 
Published: July 2020

Abstract
Improving machine vision in robotic systems for large-scale sensing in forestry is more relevant than ever. Currently, most UAVs are equipped with various navigation systems (SN), including optical ones. Automatic return-to-point systems are also widely used. These systems are used to facilitate piloting by aircraft, or activated in case of emergency situations. There are also optical tracking systems for the object, which are used mainly in video shooting. Optical navigation systems can be used to more accurately position spaces, and can also be used as a backup navigation system when the main navigation system fails.
Analysis on Indoor Air Pollution-a Case Study of Pengxiang Yizhai
Authors: Lyu Xudong 
Published: July 2020

Abstract
This article focused on the indoor air quality and conducted a case study of Pengxiang Yizhai to assess the status quo of the indoor air pollution in China. The experiment is carried out by the electronic detector, the air sample is drawn into the detection chamber through the holes in the pipes to determine the concentrations of the particles. Different concentrations of air pollutants were measured and nearly all of them exceeded the national standard. Meanwhile a public opinion poll was held to collect the opinions of the residents. After identifying indoor pollution sources and illustrating the harmful effects on human health, a couple of countermeasures to address the pollution problem were finally given in this paper.
Numerical simulation of acoustic agglomeration of fine particles in sintered flue gas of steel production
Authors: Zhao Yun , Zhou Hefeng , Tian Zhangfu , Zeng Xinwu , Gong Changchao 
Published: July 2020

Abstract
Fine particles in the sintering flue gas of steel production account for the vast majority, which is the primary control object of PM2.5 emission sources. Traditional dust removal methods have low capture efficiency for fine particles below 1 micron. Previous research on acoustic agglomeration has focused on broad-spectrum smoke, and there is a lack of understanding of the agglomeration process of sub-micron narrow-spectrum case. Based on the zoning method, the time evolution data of particle size distribution (PSD) and agglomeration efficiency corresponding to different frequencies, sound pressure levels (SPLs), and particle concentrations under the sub-micron narrow-spectrum condition are calculated in this paper. The data analysis shows that the agglomeration efficiency of the fine particle dominated flue gas increases with the increase in the frequency of action. High sound intensity conditions are conducive to improving the agglomeration efficiency, and high flue gas concentration conditions can significantly reduce the emission reduction time and energy consumption. Compared with broad-spectrum flue gas, due to the small difference in particle size and movement speed, under the same action conditions, fine particles occupy a longer agglomeration time, and the required acoustic intensity is higher, which is not conducive to practical industrial applications. Therefore, after adding a small amount of large-size particles, the acoustic agglomeration of fine particles dominated smoke was studied. Theoretical analysis shows that the presence of a small number of large particles in the flue gas significantly enhances the agglomeration efficiency and reduces the time of action and the acoustic intensity. In-plant tests verified the feasibility of acoustic agglomeration in the real-time treatment of sintered flue gas and the advantage of adding a small amount of large particles. The test sound frequency range is 50 Hz to 2 kHz, the fundamental frequency SPL is 87.3 ~ 161.8dB, and the action time is within 3s. The measured PM2.5 emission reduction efficiency is 16% ~ 92%, and the optimal frequency is about 800Hz.
Study on the Stabilization of Chemical Stabilizers for the Treatment of Lead and Zinc Smelting Sludge from Sulfuric Acid Sewage
Authors: Zhang Hua 
Published: July 2020

Abstract
Using the adsorption and precipitation effects of the stabilizers on arsenic and selenium, the experimental study on the stabilization of lead and zinc smelting sludge was carried out, and the influencing factors of the stabilizers were discussed to determine the feasibility and optimal test parameters of the experiment. The results show that the stabilizers can effectively reduce the leaching concentration of arsenic and selenium in lead and zinc sludge, and the stabilization effect is significantly improved compared with the control. When the amount of the stabilizer K is 5%, the stabilizing effect of arsenic and selenium is increased to 90% and 55%, and the leaching concentration of arsenic and selenium is lower than the national standard (GB5085.3-2007). It shows that the material is very effective in stabilizing lead and zinc mixed sludge.
Influencing Factors of DCMD for Treatment of RO Concentrate Wastewater on Water Reclamation
Authors: Zhang Xiaohui , Cao Qiguang , Li Song , Xie Guoli , Xing Linan , Zheng Mingyue , Lu Peng , Zhang Jian 
Published: July 2020

Abstract
Direct Contact Membrane Distillation(DCMD) device with PVDF as the core was introduced to treat concentrated Reverse-Osmosis(RO) wastewater on water reclamation. Effects of feed temperature, feed flow rate and permeate flow rate on flux were investigated. Furthermore, variation low of permeate flux and the main water quality during long-term membrane distillation(MD) performance were discussed. It can be concluded from the result that the permeate flux were increased with the feed temperature. When the temperature difference between hot-side and cool-side reached 35°C, the permeate flux was 7.15 kg/(m2•h), and then the growth trend of flux slowed down. The permeate flux were increased with the increase of feed flow rate and permeate flow rate, and the peak reached 8.2 kg/(m2•h) in the whole process. The permeate flux stabilized at 7.1～8.36 kg/(m2•h) during 16 hours long term experiment performance and the permeate water quality were kept steadily.
Screening for Reducing Ammonia Emissions in Broiler Feed Probiotics
Authors: Jinlan Gu , Lui ZHang , Cheng Shumei 
Published: July 2020

Abstract
The purpose of this study was to screen Probiotic can improve feed utilization rate, improve broiler gut environment, reduce emissions of ammonia in the purpose of broiler manure. Through the simulation of the digestive tract of broiler environment, high yield cellulase, amylase, protease, screening of microbial inhibition of gutharmful bacteria, and conduct the feeding experiment. The results show that the concentration of ammonia in the chicken house when feeding Bacillus subtilis for 58 hours was 13.814 mg / m3, which was lower than that of the People’s Republic of China Agricultural Industry Standard NY / T 1167-2006 Environmental Quality Standard for Livestock and Poultry Farms, Experiments show feeding broilers with Bacillus subtilis can reduce the production of harmful gas ammonia and effectively improve the environment of livestock and poultry houses.