bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis on the characteristics of urban expansion in Urumqi
Authors: Yang Han , Guo Xiao , Wang Yaqi 
Published: September 2020

Abstract
The urban spatial structure change caused by urban expansion is the most intuitive manifestation of urbanization in space. In this study, Landsat TM remote sensing image maps from 2000, 2010, and 2017 were used as the main data sources. A combination of supervised classification and manual visual interpretation was used to extract the current distribution maps of the three impermeable surfaces in Urumqi Based on the dynamic changes from 2000 to 2010 and 2000 to 2017, the changes in Urumqi’s built-up areas from 2000 to 2017 were analyzed, and the characteristics and causes of urban expansion in Urumqi were analyzed. The results show that the interior of Urumqi city tends to be saturated. Due to the limitation of topographical factors outside the urban area, the overall urban form is axially distributed in a diagonal “T” shape. From 2000 to 2010, the area increased from 163.31km2 to 332.66km2, with a net increase of 169.35km2. The average annual growth rate was 10.37%, and from 2010 to 2017, the area increased to 434.02km2, a net increase of 101.36km2, the average annual growth rate was 3.05%. The average annual growth rate from 2000 to 2010 was greater than 2010 to 2017; Comparing the area and changes of various jurisdictions, the development advantages of the new urban area are obvious. From 2000 to 2010, the development advantages of the new urban area are obvious. From 2000 to 2010, the development advantages of the new urban area were obvious. Midong District and Toutunhe District developed rapidly, while Shaibak District had the fastest growth.
Data processing of Zhuhai-1 hyperspectral satellite
Authors: Gao Peng , Zheng Yichao , Ai Jingjing , Fang Li 
Published: September 2020

AbstractThe Zhuhai-1 hyperspectral satellite (The Qust No.1), which was launched on 26 April 2018 is the learning and research crystallization of Qingdao university of science and technology in cooperation with Obit aerospace technology company. The Qust No.1 satellite is equipped with a high-resolution hyperspectral camera, achieving global remote sensing coverage and providing high-quality hyperspectral data for relevant scientific and commercial remote sensing applications. Based on the Qust No.1 imagery for Jiaozhou bay, the radiation, atmospheric, orthographical corrections together with the image enhancement and spectral information extraction are analysed and discussed in detail in this paper. The results indicate that there are high imaging quality and excellent information collection ability for the Zhuhai-1 satellite, which has good application prospect in many aspects such as vegetation monitoring, precision agriculture, etc.
Establishment and application of the modified Chen NDVI model integrated with ground object classification
Authors: Luan Haijun , Wan Yunya 
Published: September 2020

Abstract
Heterogeneous land surface causes the scale effect of remotely sensed land surface parameters. Addressing on quantitatively describing the influence of different ground objects on scale effect of the common surface parameter normalized difference vegetation index (NDVI), the paper proposed an improved NDVI scale transformation model. The model integrated accurate classification information from medium- or high- spatial resolution remote sensing images to improve the traditional Chen NDVI scale conversion model, and showed its superiority for NDVI scale effect description. Xiamen was taken as the experimental area for the study and the conclusions could be obtained from the experimental results. Compared with the traditional Chen NDVI model with rough information, the improved Chen NDVI model incorporating fine ground information provides a finer and more quantitative description of the influence of different land types on the NDVI scale effect. Furthermore, it is found that the presence of water is the key factor underlying the NDVI scale effect. The conclusions of this study have important implications for the scale effect research of other NDVI-like surface parameters such as ratio vegetation index (RVI), normalized difference built-up index (NDBI), normalized burn ratio (NBR).
Availability analysis of the Chen NDVI model in MOD13 Q1 validation
Authors: Luan Haijun , Wan Yunya 
Published: September 2020

Abstract
The MODIS normalized difference vegetation index (NDVI) product plays an important role in the eco-environmental monitoring of natural disasters. However, its validation has been a long standing and important scientific problem. The paper proposed a method to integrate accurate classification information for medium-high spatial resolution remote sensing images to improve the traditional Chen NDVI scale conversion model and perform MOD13 Q1 validation. The authors had verified the method in the research area of Xiamen, Fujian Province, China, and the experimental results proved its effectiveness. This paper focuses on the availability research of the model in different experimental areas. Taking Fuzhou City of Jiangxi Province, China, as the study area, the MOD13 Q1 validation experiment was implemented. The conclusions are obtained from the experimental results: the Chen NDVI scale transformation model is not robust, and in some experimental areas there is significant transformation error when the conversion factor is too large (such as eightfold from 30 m OLI NDVI to 240 m up-scaled NDVI). In these bad cases, other more robust scale transformation models should be elected for the validation of the low-resolution land surface parameter images.
Wind direction retrieval of tropical cyclone from SAR imagery using improved local gradient method
Authors: Wang Yan , Zheng Gang , Zhou Lizhang , Qiu Zhou , Li Xiaohui , Zhou Yinfei 
Published: September 2020

Abstract
Tropical cyclones (TCs) have caused heavy losses of human life and property. Hence, it is necessary to study TC. Additionally, the retrieval of wind direction is an important part among many researches of TC. Fortunately, Typhoon Iselle, Typhoon Nuri, and Tropical Storm Haima were captured by RADARSAT-2, Typhoon Hermine, Tropical Storm Harvey, and Super Typhoon Jose were captured by Sentinel-1A. In this paper, the wind directions of the six TCs are retrieved from SAR images by improved local gradient (ILG) method. The results show that the sea surface wind directions retrieved by ILG method have good correlation with the texture of the six TCs, respectively. This research is helpful for estimating wind speeds and constructing wind field of a TC.
Big data-based applied research on hazardous chemical safety regulation
Authors: Ban Ya , Liu Hongjing , Fei Tianhao , Luo Hao , Yu Ling , Yang Qinghui 
Published: September 2020

Abstract
With the rapid development of modern industry in China, a large number of hazardous chemicals are put into the production and use of chemical enterprises, increasing the probability of hazardous chemical accidents to a certain extent. Because hazardous chemicals are extremely dangerous and destructive, timely and efficient regulation of hazardous chemical safety is of particular importance. The application of China’s Beidou satellite navigation system for safety supervision is of great significance, with its advantages of high accuracy and allweather weather, and the rapid development of related technologies and applications in recent years, has been widely applied in the field of safety monitoring of bridges, earthquakes, dams and other areas. Based on the investigation and analysis of emergency management of critical chemical enterprises, this paper explores the construction of an innovative application system for the safety supervision of critical chemicals based on big data of Beidou positioning system, including a platform for dynamic supervision and traceability of the whole process of critical chemicals based on big data, a platform for dynamic supervision of critical chemical transport safety based on big data, a prediction and early warning application of social public bg data in the critical chemical industry, and a platform for emergency information mining and analysis of critical chemical incidents based on social media big data to form a more scientific safety supervision system for critical chemicals.
Research on GIS and CAE cooperative coupled dynamic geographical situational response
Authors: Liang Ming , Zhu Xiaojun 
Published: September 2020

Abstract
The relationship between geographic entities and geographical environment is a vital research topic of geography, and the response characteristics of geographic entities to geographical environment are the basis of Geo-design and geographical decision. Building entities and geography modeling is the key to intelligent cities and disaster response. In the traditional GIS domain, the modeling of building entities was limited to the representation of geometric features and spatial relations, which was unable to simulate the "action-response" relationship between geographic entities and geographical environments for the lack of the expression of the structural characteristics of architectural entities. In this paper, the structural model of the building, which is taken as a link between the organic coupling of GIS and CAE two heterogeneous systems, is built to achieve geographical entities on the dynamic response of the geography of the environment simulation, thus providing the support for the intelligent geographic decision and disaster emergency. This paper focuses on the definition, composition and expression of the building structure model, which is geared to the coupling of GIS and CAE. It also discusses the methods of GIS-based dynamic geographical simulation and CAE-based response analysis. Moreover, the "role-response" model taken the building structure model as the core is built between "Model-simulation-evaluation-decision" geographic entities and geographical environment. The results of structural analysis and the evaluation of diagnosis results are visualized by means of "3D thematic map", and the components are modified and optimized based on the interactive modification method. The structure analysis and design efficiency are improved and the iteration cycle of structure design is accelerated. Design of building structure and modeling quality are been improved. This research extends the static spatial characteristics expression of GIS to dynamic geography scene simulation, further expending the study category of relationship between geography entities and geography environment.
Mapping urbanization dynamic of mainland china using dmsp/ols night time light data
Authors: Xu Pengfei , Jin Pingbin , Cheng Qian 
Published: September 2020

Abstract
Knowledge of spatial-temporal changes of urbanization is highly required nowadays and DMSP/OLS nigh time light provides new insights to detect changes of urbanization in the global and regional scale. However, most researches focus on the spatial pattern while ignoring the temporal dynamics of urbanization process. In this study, the raw Night time Light data (NTL) were calibrated to form a comparable time series. New metrics of GNTL (growth of NTL), max GNTL, min GNTL, mean GNTL, GNTL amplitude and accumulated GNTL derived from time series DMSP/OLS data were applied to detect the urbanization dynamics of Mainland China from 1992 to 2013.The results show that NTL-derived metrics are good indicators to trace the urban dynamics on the contexts of both spatial and temporal scales, from which the urbanization dynamic features can be detected. With the combined utilization of NTL and NTL derived metrics, 3 types of urbanization are summarized, namely constant rapid urbanization, active improving urbanization and steady improving urbanization. Classification methods were also applied to test the performance of NTL derived metrics for urban structure discrimination. The study reported here is a novel attempt to trace urbanization process using the NTL derived metrics, and we foresee its wide applications in future in relevant studies.
The characteristics of climate changes over Nantong during the period 1951-2018
Authors: Chen Feng , Yin Jie , Li Yan 
Published: September 2020

Abstract
Climate change is a hot issue concerned by governments, society and scientists all over the world. Some measures will be developed by the governments after studying district climate change. Based on climate dates such as average temperature, average maximum temperature, average minimum temperature, and precipitation at the monthly scale obtained from eight meteorological stations over the Nantong region in Jiangsu province during the Period 1951-2018 in this paper. Climate change law was studied. This research methods include accumulative anomaly method, linear trend estimation, Mann-Kendall trend test and Morlet wavelet analysis. Results showed as following: (1) temperature has an obviously upward trend, but the differences between annual average temperature, annual average maximum temperature, and annual average minimum temperature are at little level. The trend in precipitation is not prominent in the period. The average values for the first 10 years of this century and the last 30 years are the chronological and period maximum. (2) The increase rate of temperature in spring is greatest during four seasons, and the significant is also the biggest. The increase rate of temperature in winter is greater than autumn, but the significant is reverse. Precipitation increases in summer and winter, but decrease in spring. (3) Mutation years of temperature and precipitation change were mainly in 1996-1998 and 2002-2004. (4) For period change, temperature and precipitation showed stable changes at a shorter time scale, such as 10 years or 2-3 years, and some longer scale period change for 30 years for mean average temperature. Overall, climate change over Nantong was consistent with other regions in China, and it also had its own unique features in some aspects.
Evaluation on sustainable utilization of water resources in Nansi Lake Basin
Authors: Hou Xiangdong , Wang Xunshi , Chen Lifeng , Zhu Shicheng , Wang Junnuo , Sun Xinru , Diao Yanfang 
Published: September 2020

Abstract
Based on the influencing factors of sustainable development by Bossel, the evaluation index system of sustainable utilization of water resources was constructed, which includes 18 indexes considering the development and utilization of water resources, social economy and ecological environment. The evaluation grade was classified into five levels: special, strong, intermediate, light and tiny. Because there were many fuzzy characteristics in this evaluation, this study was constructed an evaluation method of sustainable utilization of water resources based on the variable fuzzy sets model. Taking the Nansi Lake Basin in China as an example, the evaluation method was introduced in detail. The example showed that the evaluation index system constructed in this paper was reasonable and generalized, and the evaluation method was easy to understand, easy to operate and high credibility of the results. In addition, the evaluation results had a certain guiding significance for the sustainable development of water resources.
Comparative study on the dynamic calculation method of river ecological water demand
Authors: Jiang Xuechen , Zhang Jing , Song Yongyu , Lai Yuequn 
Published: September 2020

Abstract
In order to maximize the seasonal ecological hydrological demand of the river, this paper introduces three improved dynamic calculation methods. Taking the downstream channel of the Jilintai-I Hydropower Station on the Kashi River in Xinjiang as an example, three methods are applied to calculate the ecological water demand of the channel. Meanwhile, it is compared with the improved classification standard of Tennant method, and a method that is more suitable for the calculation of the ecological water demand of the river in this basin is selected, so that the calculation results can meet the seasonal dynamic demand of runoff while ensuring the basic ecological and hydrological demand of the basin, and benefit to the sustainable development of the river habitat. And reduce the losses caused by hydrological disasters, and achieve the coordinated development of economy and ecology.
Effective removal of lead(II) migrated from kitchen faucets using multi-slice feathery γ-alumina
Authors: He Huihui , Luo Ligang , Lou Caiying , Che Xihong , Yao Huazhen , Yuan Ronghui 
Published: September 2020

Abstract
In this study, γ-Al2O3 was synthesized using a hydrothermal method and its morphology and chemical composition was characterized by transmission electron microscopy (TEM), energy dispersive X-ray (EDX) and X-ray diffractometer (XRD). The TEM images, EDX and XRD spectrum highlight good crystallization and multi-slice feathery microstructure, involving relatively pure crystal sintering. The Pb(II) concentration analysed by inductively coupled plasma mass spectrometry (ICP-MS) after centrifuging is linked to the γ-Al2O3 adsorption, and a removal method for Pb(II) from water passing through kitchen faucets is proposed. The Pb(II) value below 0.06 mg g−1 relative to the γ-Al2O3 value reveals 94% adsorption. Further assessment of the alumina separation effect for faucets shows Pb(II) precipitation from the downstream of the valve spool is below 0.16 μg L−1. About 0.12 g adsorbent is mixed with 1.0 L tap water to produce a suspension for effective soaking. The proposed method produced satisfactory results, providing a theoretical basis for authorities to exploit on heavy metal removal from kitchen faucets.
Optimization of the spatial pattern of land use in mountain towns -- a case study of Yuexi county, Anqing city, Anhui province
Authors: Wang Mengyang , Dong Zhangyu , Wei Xin , Xiang Qiaomei 
Published: September 2020

Abstract
There are a lot of unused land and land type distribution problems in the land use layout of mountain towns. Mountainous area is widely distributed in China. In the past, scholars focused on the big cities in the planning of land use layout, but paid little attention to the towns in mountainous area.This paper takes Yuexi county, Anqing city, Anhui province as the research area, and based on the principle of multi-objective particle swarm optimization. Firstly, the current land use map was pretreated with unused land and aggregation. The unused land was converted into a high-grade land type according to the suitability map. The aggregation processing increases the aggregation of a certain land type in the eight neighboring areas. Then, the multi-objective function is combined with the particle swarm optimization(PSO) algorithm, and the PSO algorithm is used to update the iterative operation, and the optimal layout scheme is selected. Finally, from the area changes before and after the optimization, economic, ecological benefits and spatial layout of the evaluation. The results showed that the optimized economic and ecological benefits were 9092.7397 million yuan and 40.09377 million yuan higher than the original, respectively. Moreover, after the optimization, the landscape fragmentation index of the original layout was improved by 0.019930486 per hectare compared with that of the original, and the aggregation was greatly improved in space, so the research has corresponding value.
Landscape assessment of Mountain Qingxiu using internet landscape discourse and LSTM
Authors: Wang Weiwei , Shen Shouyun , Liao Qiulin , Chen Cuiyi , Sun Yao 
Published: September 2020

Abstract
The internet era has provided a wealth of data sources for landscape assessment by updating the methods of information exchange in public. Landscape assessment using internet discourse and computer language can provide guidance for the rational use of landscape and the scientific management of scenic areas. By taking the internet discourse of travels and reviews about Mountain Qinxiu as research objects, this study extracted the landscape assessment objects and analyze the sentiment responds of landscape using LSTM recurrent neural network. And the sentiment characteristics were analyzed by the sentiment-heat IPA quadrant. According to the results of the study, the public’s landscape assessment is both discrete and convergent. The landscape assessment of Mountain Qinxiu is mainly positive; There is no regular correlation between the landscape thermal index and the landscape sentiment assessment; The sentiment scores of landscape elements indicates that the plant landscapes and meteorological landscapes are natural landscape elements with high recognition, while the cultural features, buildings, and landscapes in human landscape elements are attractions with potential for development. The sentiment scores of attractions indicates that the botanical landscapes are natural attractions with high recognition, and the architectural and garden landscapes in humanistic attractions are attractions with potential for development. It can be found that the sentiment-based landscape assessment of Mountain Qingxiu using LSTM and internet discourse can effectively complement traditional methods of landscape assessment and provide a better opportunity for the public to participate in the management of landscapes.
Quantitative analysis of natural capital utilization in the provinces along the Silk Road Economic Belt (China section)
Authors: Guo Shanshan , Wang Yinghong , Wu Changyue , He Wei , Xiang Lan 
Published: September 2020

Abstract
The provinces along the Silk Road Economic Belt in China section is undergoing a rapid economic development, but meanwhile poses a severe situation for the ecological environment. In this paper, we involved the pollution discharge account to analyse the pressure of natural capital depletion on the ecological environment from 2005 to 2016 with combination of improved ecological footprint and scissors difference. The results show that: (1) The ecological footprint (EF) in this region almost doubled over the past 12 years, while the ecological capacity (EC) was rather low and experienced a slightly decrease. With increase of ecological deficit (ED), the capital flow could not maintain economic and social development recently, and the depletion of the natural capital stock has become general. (2) Spatially, the variation of EF varies greatly in different provinces, but as a whole, the per capita EF in Northwest region was much higher than that in Southwest. The provinces with high EF depth concentrated in the east and north margin with relatively better economy, while the provinces with high EF size concentrated in northwest region with abundant resources and low population density. (3) The decrease of scissors difference between EF depth and EF size indicates that positive effects of ecological restoration projects have been exerted and the conflict between supply and demand of natural resources tends to be eased to some extent. These findings could provide specific policy implications for this region to improve the efficiency of natural capital utilization and promote the coordinated development of economy and environment.