bluuebunny/crossref_metadata_2025_split huggingface dataset:
Terrestrial carbon sequestration under future climate, nutrient and land use change and management scenarios: a national-scale UK case study
Authors: Yumashev Dmitry , Janes-Bassett Victoria , Redhead John W , Rowe Ed C , Davies Jessica 
Published: November 2022

Abstract
Carbon sequestration (Cseq) in soils and plant biomass is viewed as an important means of mitigating climate change. Recent global assessments have estimated considerable potential for terrestrial Cseq, but generally lack sensitivity to climate warming, nutrient limitations and perspective on local land use. These are important factors since higher temperatures can accelerate the decomposition of soil organic matter, nutrient availability affects plant productivity, while land use pressures put broader constraints on terrestrial organic matter inputs and storage. Here, we explore the potential for Cseq under changing land use, climate and nutrient conditions in a UK-based national scale case study. We apply an integrated terrestrial C–N–P cycle model with representative ranges of high-resolution climate and land use scenarios to estimate Cseq potential across the UK. If realistic UK targets for grassland restoration and afforestation over the next 30 years are met, we estimate that an additional 120 TgC could be sequestered by 2100 (similar to current annual UK greenhouse gas emissions or roughly 7% of net emission cuts needed in meeting net zero), conditional on climate change of <2 °C. Conversely, we estimate that UK arable expansion would reduce terrestrial carbon storage by a similar magnitude. The most pessimistic climate trajectories are predicted to cause net losses in UK soil carbon storage under all land use scenarios. Warmer climates substantially reduce the potential total terrestrial carbon storage gains offered by afforestation and grassland restoration. We conclude that although concerted land use change could make an important moderate contribution to national level Cseq for countries like the UK, soil Cseq only provides a contribution if we are on a low emission pathway, and is therefore conditional on deep global cuts to emissions from fossil fuels, deforestation and soil degradation.
Preface
Authors: Chen Youmin 
Published: November 2022

The Fifth International Workshop on Environment and Geoscience (IWEG 2022) was held successfully on 16-17 July 2022. Under the effect of COVID-19, the conference was chosen to be online, which gave everyone access to attend. As an annual international conference, IWEG aims at being a fast and efficient platform for researchers and scholars worldwide to discuss recent developments in the area of Environment and Geoscience.
The program was divided into 3 sessions: keynote speeches, oral presentations and poster presentations, attracted over 50 participants from 13 different countries and regions, including China, Australia, Egypt, Morocco, Sri Lanka, Russia etc. Details about the presentations can be found in the Conference Overview part. We greatly appreciate Prof. Youmin Chen from Henan University, who presided over the conference, and all participants for attending and sharing!
This conference proceedings included 82 accepted articles selected from 211 submissions, all the papers have been through rigorous review and process to meet the requirements of International publication standard. We would like to express our gratitude to the reviewers of these manuscripts, who provided constructive criticism and stimulated comments and suggestions to the authors. We are extremely grateful as organizers, technical program committee and editors and extend our most sincere thanks to all the authors for their excellent contribution and work. Our sincere gratitude also goes to the IOP Publishing editors and managers for their helpful cooperation during the preparation of the proceedings.
List of Technical Program Committee, Conference Overview, Keynote Speeches, Poster Presentations and this titles are available in this pdf.
Effects of feeding methods on ecological soil wastewater infiltration systems for sewage treatment
Authors: Jiang Zefang , Xia Yuqing , Li Ziqi , Zhang Yuxi , Li Lin , Fan linlin , Wang Shiyao , Pan Jing 
Published: November 2022

Abstract
Intermittent feeding method and continuous feeding method were adopted in two experimental form ecological soil wastewater infiltration systems (ESWISs), respectively. The results showed that COD, NH4
+ and TN removal efficiencies were enhanced from 81.8%, 70.5% and 45.8% in continuous feeding ESWIS to 90.0%, 88.5% and 72.7% in intermittent feeding ESWIS. The same TP removal efficiency was achieved in two feeding mehtods. Matrix oxidation reduction potential (ORP) was enhanced through the intermittent feeding ESWIS, especially above 60 cm depth of the matrix, which encouraged nitrification. The metabolic activity and reproduction of microbes were improved by intermittent feeding method, such as actinomyces, bacteria, nitrifying bacteria, fungus. Meanwhile, denitrifying bacteria and nitrate reductase (NR), nitrite reductase (NIR) activities were also increased. PCR-DGGE analysis confirmed that intermittent feeding method improved bacterial diversity. These results suggest that intermittent feeding method is viable to heighten the performance of ESWISs in sewage treatment.
The Evaluation of Carbon Peak and Carbon Neutrality Industry Based on AHP-Entropy Weight Method
Authors: Peng Meng , Yang Lu , Zhang Kun , Zhao Weidong , Xu Jiayu 
Published: November 2022

Abstract
In response to the carbon peak and carbon neutrality dual targets, an index evaluation system was established around green development and decarbonisation consisting of three directions: “driving force”, “state”, and “response”. It includes 16 indicators such as the number of low-carbon technology releases, the proportion of CO2 generated from the industrial process. After collecting several current methods of constructing an index evaluation system around green development, an index evaluation system for assessing the low carbon industry process was advocated in different cities. The defined AHP analytic hierarchy process (AHP)-entropy weight method was used to determine the weights of evaluated indicators, and the fuzzy comprehensive evaluation method was adopted to complete the quantitative evaluation of data. Finally, the model was applied to 31 provinces, cities and autonomous regions in China and work out the score matching each province. According to the overall score, the development of CPCN process 31 provinces is categorized into 5 levels. The results show that a level C and a level D dominating and the level D accounting for the most significant proportion (more than 50%). Only three provinces and cities achieved the outstanding level of A. The conclusion that the carbon peak and carbon neutrality development in our country is still relatively lagging at the current stage with uneven regional distribution matches the actual situation; therefore, it validates the reliability of the method. Based on the scoring relationships between different indicators in each region, the defects and resistance of low-carbon industrial development in some provinces should be analysed to provide a foundation for further accelerating the steps towards achieving carbon peak and carbon neutrality.
Calculation and scenario prediction of methane emissions from agricultural activities in China under the background of “carbon peak”
Authors: Li Zhongming , Fu Wei , Luo Mingcan , Chen Jiancheng , Li Long 
Published: November 2022

Abstract
Climate warming has become a difficult problem all over the world. As the most important component of greenhouse gas, methane plays a vital role in the earth’s climate system. CH4MOD model and emission factor method are used in calculating and analyzing the methane emission from agricultural activities in China. The scenario analysis method is used in predicting the methane emission from agricultural activities in China. The results show that: (1) The changing trend of total methane emission from agricultural activities in China from 2001 to 2020 increased firstly, then decreased, and finally tended to steady fluctuation, in which the contribution of livestock intestinal fermentation emission was the largest. (2) From 2001 to 2020, GHGI1 of methane in agricultural activities in China showed a downward trend, while GHGI2 fluctuated. (3) China’s methane emissions from agricultural activities are predicted to increase under different scenarios from 2021 to 2030. To meet China’s goal of reaching a carbon peak by 2030, the strict emission reduction scenario is more suitable for China’s future methane emission development trend than other scenarios.
Rare Earth Elements behaviour in different types of mineral waters within Baikal Lake
Authors: Chelnokov G. A. , Lavrushin V.Y. , Aidarkozhina A. S. , Bragin I. V. , Kharitonova N.A. , Ermakov A.V. 
Published: November 2022

Abstract
The current study contains a review of the REE abundance and distribution in thermal and cold mineral waters which are widely spread around Baikal Lake. Studied mineral waters were divided into CH4, N2 and CO2-rich waters by the associated gas composition. We found that the highest REE concentrations were connected with thermal waters that were accumulated in swamps (slow-moving waters). Another core process for accumulating of REE in waters is the rock weathering in CO2 presence. This study shows that there are no correlations between REE and main ions, Eh, TDS and temperature. But dependence of REE on pH and positive correlations of REE with Al, P, Mn, V, Cu, Pb and As, which indicate common processes of microelements migration, were established. Within the study waters the light REE concentrations dominate over heavy REE. The presence of CO2 gas increases heavy REE concentrations, and concentrations of several light elements (La, Ce, Nd). The observed differences in REE contents in studied waters can be provenance dependent and possibly relate to more complicated evolutionary processes as water circulation time, depth and mixing. This is the first investigation of REE distribution and abundance in mineral waters of the Baikal Lake.
Analysis of spatial-temporal atmospheric emissions from heavy-duty diesel trucks in central and southern Liaoning urban agglomeration
Authors: Cao Yanhao , Wu Xiaohan , Song Zhiwei , Chen Baiyizhuo , Liu Shuai , Gao Chengkang 
Published: November 2022

Abstract
The problem of diesel vehicle pollution has aroused wide concern in central and southern Liaoning Urban Agglomeration (CSLA), as it is associated with large amounts of atmospheric emissions. This article focuses on heavy-duty diesel trucks (HDT) of Chinese National Standards for heavy-duty diesel trucks (GB) III, GB IV, and GB V. This research measures emission factors (EF) of NOx, CO, and PM by vehicle tests. Subsequently, the emission inventory has been established according to emission factors (EF), activity levels (AL), and Technic guidelines for road motor vehicle emission inventory of air pollutants (Guideline, 2015) in central and southern Liaoning Urban Agglomeration (CSLA). This study further obtained the spatial distribution map of pollutants in CSLA, 2019, using the Geographic Information System (GIS). Results exhibit NOx and CO emissions of HDT directly proportional to the amount of their ownership, and GB III was the main contributor to the PM emissions accounting for nearly 74%. It was concluded the annual emissions of NOx, CO, and PM in CSLA were 20.34, 6.46, and 0.044 million tons individually in 2019. Moreover, the emissions of NOx and CO in heating seasons were higher than in non-heating seasons, accounting for approximately 56% and 57% of the whole year respectively. Notably, Shenyang, Dalian, and Anshan were the top three cities in atmospheric emissions. In addition, the three kinds of pollutants mainly appeared in suburbs and decreased gradually from suburbs to urban areas.
Fostering low-carbon industrial parks in Vietnam: establishment and application of an index system for Trang Bang Industrial Park
Authors: Mai Thi Vuong Thi , Vuong Tran Hau , Quang Hung Nguyen Tri , Ba Ho Thanh , Hue Nguyen Kim , Ky Nguyen Minh 
Published: November 2022

Abstract
In recent years, Vietnam has experienced urbanization and industrialization, leading to potential air pollution and climate change risks. To reduce these negative consequences of economic development, Vietnam has promoted a low-carbon economy (LCE) by setting many goals for green growth, air pollution reduction, and increasing the absorption capacity of greenhouse gases (GHGs) in many industrial sectors. However, there is still a lack of a specified policy to promote these goals systematically. This study proposes a set of criteria that could be used to evaluate and certify low-carbon industrial parks (LCIPs). The criteria were developed using Analytical Hierarchy Process (AHP), expert opinion, data normalization, and carbon emission calculation. The set of criteria includes five groups of indicators with eighteen criteria for evaluating LCIPs, which can be applied in Vietnam’s contexts. Using such an index system to Trang Bang IP in the period 2016–2020 as a case study, the results show that the Trang Bang has yet to meet the criteria of LCIPs, particularly in terms of energy consumption and GHGs emission.
Analysis of land subsidence change in Wuhan based on sentinel-1A
Authors: Zhao Yizhan , Zhou Lv , Qin Jie , Wang Cheng , Sheng Haiquan 
Published: November 2022

Abstract
We used 52-view Sentinel-1A images to obtain the subsidence of Wuhan city by SBAS method during the period of 2020-2021. At present, Hongshan District of Wuhan is the area with the most serious subsidence, and the maximum accumulated settlement reaches 90mm. In addition, there are obvious subsidence funnels in Qiaokou, Qingshan, Jiang’an and Wuchang Districts. Spatial distribution of settlement areas in Wuhan is closely related to urban construction, and the formation of most of the subsidence funnels is related to the high-intensity urban construction activities in the region, with extensive ground subsidence along Metro Line 5 and Metro Line 11. Karst collapse and ground subsidence are more likely to occur in carbonate rock belt and soft soil covered area. Rainfall affects the total amount of groundwater and the river water level in Wuhan. Rainfall can add the groundwater volume, raise the water level of rivers and slow down the rate of ground subsidence in the major subsidence areas of Wuhan.
Soil heavy metal Pb concentration quantitative inversion method based on hyperspectral remote sensing
Authors: Chen Maoyu , Ke Dan , Wang Wenkai , Zhang Wanming , Li Xianglan 
Published: November 2022

AbstractTaking a mining area in the Liangshan section of the Anning River Basin as the research area, soil samples were collected, and the collected soil samples were respectively measured for Pb concentration and soil spectral reflectance, and the correlation between soil Pb concentration and soil spectral reflectance was analyzed, using the partial least squares regression method to construct the soil Pb concentration estimation model and carry out the accuracy test. The results show that: (1) The correlation between the original soil spectral curve and the measured value of soil Pb concentration is greatly improved after the first-order differential(FD), second-order differential(SD), reciprocal first-order differential(RTFD) and inverse second-order differential(RTSD) transformation, and there are many characteristic bands. (2) The best model for estimating soil Pb concentration is the model established by second-order differential, whose coefficient of determination (R2) is 0.56 and root mean square error (RMSE) is 1.28. It provides a reference for the retrieval of remote sensing hyperspectral soil Pb concentration in this area.
Mesozoic hydrocarbon accumulation model in the Northern South China sea
Authors: Zhong Guangjian , Su Pibo , Feng Changmao , Chen Shenghong , Sun Ming , Yi Hai , Wang Yanlin , Yu Junhui , Zhao Jing , Zhao Zhongquan 
Published: November 2022

Abstract
The ChaoShan Depression is the largest Mesozoic depression covering an area of 3.7 x 104 km2 where the relict Mesozoic strata are up to 5000 m thick. It has experienced disruption since the late Mesozoic. In early survey, the oil-gas migration condition and reservoiring mechanism are poorly expounded from the Meso-Cenozoic tectonic superposition due to poor seismic imaging to the deep Mesozoic layers. New seismic surveys using long streamers and quasi three-dimensional layouts has improved obviously the deep images of the Mesozoic formations, enabling analysis of tectono-stratigraphic features and petroleum geology. Correlating to the regional Mesozoic stratigraphic and facies characteristics from the well LF35-1-1 and onshore outcrops, two sets of source layer tested with high organic carbon content are interpreted within the upper Triassic to mid-Jurassic semi-closed gulf sequences which become thicker toward the east side of Dongsha Island. Three sets of potential reservoir beds are also interpreted, which are a basin-floor fan sandstone layer of the Triassic-Jurassic boundary, a limestone layer atop the mid Jurassic, and a sandy layer in the Upper Jurassic. Over the low bulge of the ChaoShan Depression, a big anticline is found bounded by two sets of faults which played as migration passage for hydrocarbon from the deep Mesozoic source to the reservoir layers. Likely, one set of the fault act reverse barrier to block the petroleum escape, thus form the fault-bounded trap, favorable for future exploration.
Spatial accessibility of medical facilities based on green travel mode - Take the central urban area of Wuhan as an example
Authors: Wei Wei , Zhang Jianhua 
Published: November 2022

Abstract
Based on the concept of “people-oriented”, this paper simulates the green travel mode of Wuhan residents in the main urban area by walking and public transportation (bus and rail) based on the public transportation network and walking network of Wuhan city, combined with the POI data of residential community points and medical public service facilities. ArcGIS network analysis technology was used to quantitatively analyze the spatial accessibility distribution characteristics and qualitatively analyze the problems of medical service facilities in the main city of Wuhan. The spatial accessibility distribution characteristics of the three types of medical service facilities (General hospital, Specialist hospital and community hospital) in Wuhan city were quantitatively and qualitatively analyzed. The conclusions are as follows: under the different green travel mode (walk, by bus or take the subway), the spatial accessibility of the three types of medical facilities in the central urban area of Wuhan is good. The areas with the spatial accessibility of the three types of medical facilities within 15min account for most of the central urban area of Wuhan. However, the spatial accessibility of the three types of medical facilities shows obvious imbalance in the spatial distribution characteristics. The spatial accessibility of three medical facilities in the west of Jianghan district, the north of Jiangan district, the east of Wuchang district and the middle of Hongshan district is poor. And the spatial accessibility in these areas is more than 15min. There are distinct differentiating characteristics in areas with good and bad spatial accessibility. Based on the above analysis results, suggestions and countermeasures are put forward to improve the spatial accessibility of medical public service facilities in the central city of Wuhan.
Urgent need to strengthen unified management of scientific data of natural resources
Authors: Zhang Chengcheng , Gui Dezhu 
Published: November 2022

AbstractAt present, the institutional restructuring and business restructuring of the Ministry of natural resources have been basically completed, and business integration has become the focus of the work. Earth data science is combination of earth science and data science, and is a frontier cross field of earth science research and a paradigm shift of data-driven scientific discovery. This paper reviews the progress of big earth data research in 2020 from the aspects of earth data science program, scientific data governance, and earth science data sharing. It focuses on the Deep-Time Digital Earth Science Program, Big Earth Data Science Engineering Project and achievements in global data aggregation, authentication, repository, policies, standards, and identification, as well as practices of the earth science data centers, databases, data models, data integration, and data publishing. The paper points out countermeasures and suggestions for promoting scientific management of natural resources.
Enhancing soil fertility and lowbush blueberry (Vaccinium angustifolium) growth using bio-organic fertilizer
Authors: Ngoc Ngo Phuong , Dang Le Van , Quynh Le Ngoc , Hung Ngo Ngoc 
Published: November 2022

Abstract
Acid soils contain high concentrations of aluminum and ferrous ions, which limit crop growth and the available plant nutrients. The current work was to determine the effects of bio-organic fertilizer (BOF) application on soil quality and the growth of blueberry cultivated in acid soil. A completely randomized block design was arranged, with four doses of BOF (0, 2, 4, and 6 t ha–1 yr–1). Each treatment was carried out with four replicates. In the present work, soil quality properties such as pH, soil organic matter, available phosphorus, total nitrogen, aluminum (Al3+), and iron (Fe2+) were measured. Additionally, the influence of organic fertilizer on the growth of blueberry (plant height, number of shoots, and leaves) was also investigated. The results indicated that both the rates of BOF (4 and 6 t ha−1 yr–1) significantly improved soil organic matter and available phosphorus. Also, BOF application greatly decreased the soil concentrations of Al3+ and Fe2+ compared to the control treatment. Similarly, 12 months after planting, the number of shoots and leaves was improved in the pots with BOF compared to that without BOF addition. From the results of this study, we recommend using BOF as the best measure for enhancing soil health and blueberry growth.
Relationship between the size composition observed from the photosedimention technique and chromaticity of the fine-grained surface sediments from the modern lakes, Songnen Plain
Authors: Su Yangxin , Zhang Xinrong , Zhang Shun , Fang Shi , Fu Xiuli , Shao Hongjun 
Published: November 2022

Abstract
The relationship between clay particle size in fine-grained sediments and the enrichment of organic matter and the redox degree of their environment is conducive to the judgment and evaluation of the hydrocarbon generation potential of fine-grained sediments. The grain size characteristics of clay particles in the surface fine-grained sediments of Chaersen lake, Delong lake, Hongyuan lake, Lamasi lake, and Zhongnei lake in Songnen Plain are revealed by light sedimentation method. On the basis of the test, the relationship between the particle size of clay particles and the sediment chromaticity is analyzed, and the directivity of chromaticity to the content of organic matter and redox degree of fine-grained sediments is used for the organic content estimation. It is confirmed that the particle size of clay is negatively correlated with its organic matter content and positively correlated with its redox degree. This has important reference significance for discussing the hydrocarbon generation potential and evaluation of Cretaceous lacustrine fine-grained source rocks in the Songliao Basin.