bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative evaluation method of load side flexibility for industrial park
Authors: Cui Jia , Duan Chonggang , Wang Hao , Yan Xinyue , Si Jichao , Li Zhimin , Gao Mingze 
Published: April 2022

Abstract
In view of the researches on the quantitative evaluation methods systems for load side flexibility, the evaluation methods using matter-element extension and setting pair analysis usually qualitative analysis the flexibility of load only. At present, they do not quantify the flexibility of each load. Thus, firstly, according to the factors affecting the load flexibility of industrial parks, this paper selects 10 indicators from four aspects to form an index system to evaluate the load flexibility of industrial parks. Secondly, considering the correlation between indicators, the grey correlation matrix is proposed to improve the entropy weight method for the first time. Thirdly, in order to eliminate the influence of human subjective factors, the coupling method of analytic hierarchy process and improved entropy weight method is used to determine the weight of indicators. Finally, in order to overcome the shortcomings of the traditional TOPSIS method, an improved set pair analysis (SPA) based on grey entropy and TOPSIS coupling method is proposed to quantify the load flexibility of industrial parks.
Research on hydrogen energy storage capacity model based on Genetic Algorithm in new power system
Authors: Li Zhongxuan , Zhang Wang , Li Guowen , Wang Yongli , Wang Huan , Guo Lu 
Published: April 2022

Abstract
In order to promote China’s energy revolution and realize China’s energy transformation, green and low-carbon energy development and comprehensive green transformation of economic and social development are the keys. Among them, the development of hydrogen energy has great influence and significance on energy saving, emission reduction, deep decarbonization and improvement of utilization efficiency. For the power industry, it is necessary to build a new power system with new energy as the main body. Under this system, this paper establishes a hydrogen energy storage planning model by studying the application scenarios of new energy sources, and uses genetic algorithm to solve it. Finally, a case study proves the rationality of this planning model for hydrogen energy storage planning research, and provides theoretical support and decision-making basis for large-scale investment and operation of similar systems in the future.
Sulfur isotopes reveal agricultural changes to the modern sulfur cycle
Authors: Hermes Anna L , Dawson Todd E , Hinckley Eve-Lyn S 
Published: April 2022

Abstract
The environmental fates and consequences of intensive sulfur (S) applications to croplands are largely unknown. In this study, we used S stable isotopes to identify and trace agricultural S from field-to-watershed scales, an initial and timely step toward constraining the modern S cycle. We conducted our research within the Napa River Watershed, California, US, where vineyards receive frequent fungicidal S sprays. We measured soil and surface water sulfate concentrations ([SO4
2−]) and stable isotopes (δ
34S–SO4
2−), which we refer to in combination as the ‘S fingerprint’. We compared samples collected from vineyards and surrounding forests/grasslands, which receive background atmospheric and geologic S sources. Vineyard δ
34S–SO4
2− values were 9.9 ± 5.9‰ (median ± interquartile range), enriched by ∼10‰ relative to forests/grasslands (−0.28 ± 5.7‰). Vineyards also had roughly three-fold higher [SO4
2−] than forests/grasslands (13.6 and 5.0 mg SO4
2−–S l−1, respectively). Napa River δ
34S–SO4
2− values, reflecting the watershed scale, were similar to those from vineyards (10.5 ± 7.0‰), despite vineyard agriculture constituting only ∼11% of the watershed area. Combined, our results provide important evidence that agricultural S is traceable at field-to-watershed scales, a critical step toward determining the consequences of agricultural alterations to the modern S cycle.
Contradictory distributive principles and land tenure govern benefit-sharing of payments for ecosystem services (PES) in Chiapas, Mexico
Authors: Izquierdo-Tort Santiago , Corbera Esteve , Martin Adrian , Lillo Julia Carabias , Dupras Jérôme 
Published: April 2022

Abstract
Payments for Ecosystem Services (PES) are incentive-based instruments that provide conditional economic incentives for natural resources management. Research has shown that when economic incentives are parachuted into rural communities, participation and benefits are collectively negotiated and shared. However, we know little about how benefit-sharing evolves over time in community-based PES. To address this gap, we examine distributional justice in four communities of the state of Chiapas, Mexico, which participate in a PES programme, and we assess how local justice principles compare with the programme’s goals. Our analysis reveals patterns of both continuity and change in how communities share PES benefits, which reflect a suite of contradictory justice principles, including entitlement, merit, need, and equality. The studied communities distribute PES benefits by providing differentiated compensation to diverse groups of landholders via private cash payments, whilst also attending non-landed community members through public infrastructure investments. We show that benefit-sharing is strongly influenced by pre-existing land tenure features and associated norms, which in the study area include three different types of individual and common-property. Yet, we also show that communities continuously adjust benefit-sharing arrangements to navigate distributional challenges emerging from programme engagement. Overall, we provide novel insights on the evolution, diversity, and complexity of distributive justice in community-based PES and we advocate for a context-sensitive, nuanced, and dynamic account of justice in incentive-based conservation.
Characteristics of the Geological Tourism Resources in Hainan Island, China
Authors: Wang Q J , Li Z C , Chen Y 
Published: April 2022

Abstract
In order to deep mine Hainan geological tourism resources, based on remote sensing, geology, geography and field investigation, a Hainan geological tourism resources evaluation method was established, which included data collection, data preprocessing, geological tourism monomers extraction using remote sensing imageries. According to the national standard of classification, investigation and evaluation of tourism resources (GB/T18972-2003), 146 geological tourism monomers in Hainan Island were firstly evaluated. The results showed that there were 13 geological tourism resource types in Hainan Island with the characteristics of large quantity, high quality, long travel time and convenient transportation. Finally, the future development of Hainan geological tourism was sugessted to further strengthen on the geological environment stability to provide references for geological tourism economy development in Hainan Island.
Soil erosion dynamic monitoring in the Northeast Inner Mongolia of China from 1978 to 2018
Authors: Jiang Wei , Pang Zhiguo , Qin Xiangdong , Ju Hongrun , Xiaohui Ding , Li Lin , Fu June , Li Hao , Lu Jingxuan , Feng Tianshi 
Published: April 2022

Abstract
The black soil area in Northeast Inner Mongolia is an important ecological barrier and food production base in China and the soil erosion is a key risk factor in regional ecological security and sustainable development. Multi-source satellite remote sensing and auxiliary data, including meteorology, land use, vegetation coverage and digital elevation were collected to establish a distributed model of soil erosion. Then, the quantitative analysis of soil erosion in the Northeast Inner Mongolia from 1978 to 2018 was carried out. The results show the following: (1) the areas of soil erosion in 1978 and 2018 were 203,538 km2 and 102,886 km2 respectively, and the area of soil erosion was decreased by 100,653 km2. The decreased of soil erosion was mainly located in the Songliao Plain Sand Prevention Farmland Protection Zone; (2) wind erosion is the main erosion type in the Northeast Inner Mongolia. Wind erosion area decreased from 188,982 km2 in 1978 to 88,466 km2 in 2018, and water erosion area decreased from 14,556 km2 in 1978 to 14,420 km2 in 2018.(3) the intensity of soil erosion is mainly mild. The area change rates of mild, moderate, strong, intensive and severe soil erosion intensity are -48.91%, -41.41%, 32.63%, -91.15% and -91.14% respectively. This study demonstrated how to use multi-source remote sensing technology to explore the long term series soil erosion dynamic monitoring and provided support for decision-making and management of soil erosion in Northeast Inner Mongolia under the background of sustainable development.
Spatiotemporal variation patterns and aggregation of crop residue burning at county scale in Northeast China
Authors: Wang Yi , Guo Xiaoyi 
Published: April 2022

Abstract
Crop residue burning (CRB) has been a major environmental concern in key agricultural regions of China. To reveal spatiotemporal patterns of CRB events, a county-level assessment in Northeast China was conducted using Moderate Resolution Imaging Spectroradiometer (MODIS) thermal anomalies and land cover data. The results revealed that cropland fire occurrence increased significantly from 2003 to 2019, and annual CRB occurrence from 2014 to 2019 was significantly higher than that from 2003 to 2013. The majority of detected CRB events occurred in spring and autumn, accounting for 58.50% and 28.98% of the total cropland fires, respectively. The time scan statistics showed that CRB events lasted for approximately 40 days each year and were more severe in spring than autumn. The number of cropland fires monitored by Terra and Aqua satellites was relatively more balanced, accounting for 49.74% and 50.26% of the total, respectively, indicating that farmers may intentionally burn crop residue at night. The counties with higher CRB intensity were mainly in the Songnen Plain, Sanjiang Plain, and along the main stream of the Liaohe River. The Moran’s I value of 0.054 to 0.452 for CRB intensity demonstrated a strong spatial autocorrelation at the county level. The local autocorrelation Getis-Ord

G
i
*

showed 86 counties with significant hot spots and 91 counties with significant cold spots. The county-level temporal and spatial patterns of CRB events may be the results of policies and socio-economic conditions. This study could provide support for identifying the influencing factors of CRB and offer suggestions for crop residue management practices in this agriculture-dominant region.
Dynamic Monitoring and Analysis of Ecological Environment in the Coastal Tourist Destinations of Sanya City, Hainan
Authors: Li Zhichao , Xie Jingjing , Yang Jingyi , Chang Dingkun 
Published: April 2022

Abstract
Taking the Sanya Bay as the study area, based on the remote sensing images of Gaofen-2 in 2015, 2017, 2019 and 2020, this paper extracted 7 land use types of Sanya Bay. The main objectives of this paper includes: (1) Applying the theory of landscape ecology to calculate the landscape fragmentation and disturbance intensity in order to indicate the ecological changes in the study area; (2) Analysing the impact of landscape changes on the surroundings areas driven by the diversity of land use and perform the “Dynamic Monitoring and Analysis Technology for the Ecological Environment of Coastal Tourism Regions”. In which to monitor the dynamics of the ecological environment in the area of research. The results showed that the quality of the ecological environment in the study area changed dynamically with the construction of tourism sites: from year 2015 to 2017, due to a large number of construction, the ecological environment deteriorated to a certain extent; From 2017 to 2020, with the suspension of construction and environment restoration work, the quality of the ecological environment in the study area improved. Technology established in this paper provides a reference for the dynamic monitoring of the ecological environment in the coastal tourist area.
A Decision Support System for Marine Regulation
Authors: Linchong Kang , Xiaoyi Jiang , Longfei Zhao , Yi Wang , Long He , Xue Guo , Haiyan Huang 
Published: April 2022

Abstract
The implementation of marine spatial data management and decision support based on GIS provides a powerful tool for marine regulation. This study constructed a three-dimensional spatiotemporal data model of marine resources that is hierarchical, partitioned, and classified according to the management principle of using an underground resource layer, surface matrix layer, surface overburden layer, and management layer, taking the marine resource entity as the unit. Key research topics include marine multi-source information integration, visual expression, and spatiotemporal topology analysis for typical application scenarios such as sea area use, island development and utilization, and marine environmental monitoring and protection. The study developed a marine information decision support system with comprehensive integration and visual analysis of information on maritime islands, early warning and monitoring, the marine economy, and the marine environment. The system was applied to dynamic regulation of sea area use, spatiotemporal characteristic analysis of marine resources, the regulation of human activities in marine protected areas, and the monitoring of sea level rise. Practice has proved that a three-dimensional spatiotemporal data model of marine resources can meet the application requirements of “One Map”, the basic land and spatial information platform.
Global distribution of the cold-water coral Lophelia pertusa
Authors: Tong R , Davies A J , Purser A , Liu X , Liu F 
Published: April 2022

Abstract

Lophelia pertusa plays an important role as a major contributor to many cold-water coral reefs, supporting a high diversity of associated benthic and benthopelagic species. Due to the high sensitivity of L. pertusa to human activity, it has been classified as indicator species for Vulnerable Marine Ecosystems. However, the global spatial distribution of L. pertusa is far from well known. In this study, a database of L. pertusa presence data was compiled derived from the large number of L. pertusa occurrence records appearing in recent years. In conjunction with data layers covering a range of environmental drivers, habitat suitability for L. pertusa was predicted using the Random Forest approach. Suitable habitat for L. pertusa was predicted to occur primarily on continental margins, with the most suitable habitat likely to occur in the North East Atlantic and South Eastern United States of America. Aragonite saturation state, temperature and salinity were identified as the most important contributors to the habitat suitability model. Given the high vulnerability of reef-forming cold-water corals to anthropogenic impacts, habitat suitability models are critical in developing worldwide conservation and management strategies for biodiverse and biomass rich cold-water coral ecosystems.
A Two-dimensional Attitude Steering Method to Compensate for the Doppler Centroid in Moon-based SAR
Authors: Chen G Q , Ding Y X , Lv M Y , Guo H D , Wu J 
Published: April 2022

Abstract
The rising attention to Moon-based Earth observation provides a new way to monitor Earth. Among Moon-based detectors, the SAR method has the advantage of long-term, stable, unique observations compared to space-borne SAR. Unlike space-borne SAR, however, the complicated relative motion of a Moon-based sensor makes its Doppler centroid estimation more difficult. This paper proposes a method for two-dimensional attitude steering to compensate for the Doppler centroid of Moon-based SAR. In the periodic movement between Earth and the Moon, the track speed of sites distributed around the near side of the Moon are almost perpendicular to vectors from the sites to the Earth centroid. This situation indicates the feasibility of attitude steering to guide antennas into a zero Doppler plane intersecting Earth’s surface. Therefore, this paper proposes a method for two-dimensional attitude steering to compensate the Doppler centroid to zero. In this method, the Moon is no longer deemed as a point but a natural celestial body with an average radius. Sites distributed around the hemisphere of the near side are also considered separately because of differences in spatial position and speed. Through the proposed method, the pointing of SAR antennas will be steered to a place on Earth where the Doppler centroid is compensated to zero. The JPL DE430 and EOP data are closer to reality and are used for accurate simulation. In this paper, the twodimensional attitude steering method is compared with no attitude steering and a onedimensional attitude steering method, and the results show its effectiveness.
Multi-view imaging simulation of a space born TDI CCD camera and a 3D geometric reconstruction estimate
Authors: Qingxing Yue 
Published: April 2022

Abstract
This paper proposes a multi-view imaging simulation method for a space-born TDI CCD camera, focusing on the integral time and satellite attitude calculation method of a TDI CCD camera when the imaging target is far away from the nadir point. The accuracy of the calculation method was verified by a target imaging simulation. Furthermore, a multiview stereo imaging simulation of a single camera was realized. Based on the high-precision three-dimensional (3D) building model and the simulation method, the simulation image was generated under various side swing angles and 3D angles. The generated building point cloud data was based on the belief propagation and graph-cuts stereo matching methods. Finally, we evaluated the impact of the side-view angle and stereo angle on the 3D reconstruction effects of the overall area and building façade based on the effective point percentage, root mean square, NMAD, and LE90.
Image enhancement method for visual localization and mapping in complex light scenarios
Authors: Jia Shoujun , Liu Chun , Wu Hangbin , Chen Chen 
Published: April 2022

Abstract
Visual localization and mapping have received considerable attention in the fields of computer vision, photogrammetry, and remote sensing. Image matching is key to visual localization and mapping. However, light is complex and uneven in real scenarios, creating difficulties in feature extraction and matching. Hence, feature mismatch and loss reduce the efficiency, accuracy, and robustness of visual localization and mapping. We developed a visual localization and mapping method for complex light scenarios based on image enhancement. Starting with initial images, the irradiance and reflectance components were separated based on logarithmic transformation. Our method strengthened high-frequency components and restrained low-frequency components with improved homomorphic filtering, restraining the light component and enhancing the important reflection component. The SIFT algorithm was used for feature detection and matching. The proposed method was tested on images with uneven light captured using a stereo vision camera in an indoor environment, focusing on visual localization and mapping. The experimental results emphasized that the method improved the rate of image localization and number of point clouds, as well as the reprojection error, which ranged from 0.85 to 0.82 on average. Thus, the proposed method is robust rather than probabilistic for improving visual localization and mapping under complex light conditions.
GeoMapViz: a framework for distributed management and geospatial data visualization based on massive spatiotemporal data streams
Authors: Xu Qi , Xiang Longgang , Wang Haocheng , Guan Xuefeng , Wu Huayi 
Published: April 2022

Abstract
Spatiotemporal big data have multisource, heterogeneous, high-dimensional and spatiotemporal associations. Due to the limited computing and network resources, while the spatiotemporal data to be rendered are large and dynamic, efficient visual analysis has always been a popular topic and has had difficulty in the research of spatiotemporal big data. As one of the important means of big data visualization, thermal maps play an important role in expressing data flow, information flow, and trajectory flow. At the same time, the development of a distributed computing framework also provides technical support for the online calculation and visualization of spatiotemporal data streams. In response to the above problems, this paper designs and implements GeoMapViz, a distributed management based on massive spatiotemporal data streams and a multiscale geographic spatial visualization framework, which is oriented by the expression of thermal maps of massive point datasets. First, based on the concept of the tile pyramid model and spatiotemporal cube, we propose a thermal map sequential tile pyramid (TS_Tile) model, which realizes scalable storage and efficient retrieval of data flow. GeoMapViz adopts a high-performance Flink stream computing cluster to implement the large-scale parallel construction of hierarchical tile pyramids, implements distributed storage and index construction of data based on HBase and Geomesa, and uses Geoserver to manage the map service to provide a spatiotemporal range query interface. Finally, through using an open dataset as a system simulation test, the results show that the TS_Tile model can effectively organize large-scale, time-space and multidimensional thermal map data, and the query and visualization of the heatmap can reach a subsecond response. Furthermore, GeoMapViz supports the integration of the thermal map and original flow and provides a feasible solution for the visual analysis of large-scale spatiotemporal data.
Exploring spatial entropy in the analysis of landscape pattern and ecological sustainability in watershed ecosystem
Authors: Liu X T , Zhao H R 
Published: April 2022

Abstract
Ecological sustainability research from the perspective of entropy has received extensive attention in recent years. Spatial entropy (
Hs

) is a new form of spatial heterogeneity analysis tool that applies entropy to distinguish and characterize different landscape patterns. In order to further explore the heterogeneity expression and ecological implication of
Hs

in the analysis of watershed ecosystem, this research takes Yanhe watershed as the study area. Based on the land use data of years 2000, 2010, and 2020,
Hs

in combination with 10 landscape metrics was applied for the study of landscape pattern and ecological sustainability. The results showed that: 1)
Hs

is correlated with landscape richness, aggregation and shape complexity, and it reflects the comprehensive heterogeneity information with high sensitivity to landscape variations, and also describes ecosystem stability with negative correlation; 2) The value of
Hs

showed a gradual increase from upstream to downstream in Yanhe watershed, and it dropped as a whole during the 20 years; 3) The stability of this basin from 2010 to 2020 had a greater variation range compared with the previous ten years, and the regions with large variation were mainly distributed in the midstream and downstream areas.
Development of standards for liquid hydrogen in China
Authors: Yang Yanmei , Lin Ling , Bao Wei 
Published: April 2022

Abstract
Liquid hydrogen is important to long distance hydrogen transportation and development of heavy-duty vehicles, etc. China starts to deploy liquid hydrogen since 2020. To support the development of liquid hydrogen, three national standards for liquid hydrogen have been published. In this paper, national standards for liquid hydrogen specification, production, storage and transportation, and hydrogen fueling station are reviewed. Compared to USA, standards for liquid hydrogen in China are insufficient. It is important to establish a complete standard system for liquid hydrogen to better support the commercial, safe use of liquid hydrogen.