Land subsidence over oilfields in the Yellow River Delta

Subsidence in river deltas is a complex process that has both natural and human causes. Increasing human activities like aquaculture and petroleum extraction are affecting the Yellow River delta, and one consequence is subsidence. The purpose of this study is to measure the surface displacements in the Yellow River delta region and to investigate the corresponding subsidence source. In this paper, the Stanford Method for Persistent Scatterers (StaMPS) package was employed to process Envisat ASAR images collected between 2007 and 2010. Consistent results between two descending tracks show subsidence with a mean rate up to 30 mm/yr in the radar line of sight direction in Gudao Town (oilfield), Gudong oilfield and Xianhe Town of the delta, each of which is within the delta, and also show that subsidence is not uniform across the delta. Field investigation shows a connection between areas of non-uniform subsidence and of petroleum extraction. In a 9 km2 area of the Gudao Oilfield, a poroelastic disk reservoir model is used to model the InSAR derived displacements. In general, good fits between InSAR observations and modeled displacements are seen. The subsidence observed in the vicinity of the oilfield is thus suggested to be caused by fluid extraction

A case study on tourism spatial pattern and its influencing factors from the perspective of real and virtual tourism economic at county scale in Yellow River Economic Belt

Based on the index of tourism Baidu search volume and total tourism income of 667 research units at county scale in Yellow River Economic Belt, this paper uses spatial classification, exploratory analysis of spatial data, nuclear density estimation and other methods to compare and analyze the spatial pattern of county tourism economy in the Yellow River Economic Belt, and then uses the geographical detector model to analyze the influencing factors. The results are drawn as follows. Firstly, from the perspective of spatial distribution pattern, the imbalance of the overall tourism economy is obvious, and the spatial pattern shows a “one big, three small” four core agglomeration pattern. Secondly, from the perspective of spatial correlation pattern, significant HH and LL areas are dominant whether virtual economy or a real economy, and spatial agglomeration effect is obvious. Real economic significant HH areas mainly distribute in the tourism economic developed areas of Shaanxi and Shandong, while real economic significant LL areas are mainly concentrated in the middle and east of Inner Mongolia, the south of Shanxi, most of Qinghai and the north of Ningxia, and scattered in Henan, Gansu and other places. Compared with the entity level, the HH areas of the virtual economy are significantly expanded, mainly distributing in Shandong, Shaanxi and the eastern part of Inner Mongolia. The number of significant LL areas is significantly increased and the distribution range has changed, and the distribution scope of low-value cluster areas mainly distributes in most areas of Qinghai, south and north of Shanxi, and sporadically distributes in Gansu. From the perspective of nuclear density, the spatial structure of virtual and real economy is similar, and the high-value counties mainly distribute in Shandong, Henan and Shanxi forming a high-value gathering area expanding into a core development area. It is worth noting that the virtual economy scope in the north of Shaanxi and the northeast of Inner Mongolia has formed many sub-cores, which indicates that the level of virtual economy in the region is rapidly rising. Finally, according to the results of the Geo-detector model and the coupling matching analysis model, we found the real economy is mainly affected by the resources support level. We also found virtual economy is mainly affected by the level of information technology

Land Use Conflict Detection and Multi-Objective Optimization Based on the Productivity, Sustainability, and Livability Perspective

Land use affects many aspects of regional sustainable development, so insight into its influence is of great importance for the optimization of national space. The book mainly focuses on functional classification, spatial conflict detection, and spatial development pattern optimization based on productivity, sustainability, and livability perspectives, presenting a relevant opportunity for all scholars to share their knowledge from the multidisciplinary community across the world that includes landscape ecologists, social scientists, and geographers. The book is systematically organized into the optimization theory, methods, and practices for PLES (production–living–ecological space) around territorial spatial planning, with the overall planning of PLES as the goal and the promotion of ecological civilization construction as the starting point. Through this, the competition and synergistic interactions and positive feedback mechanisms between population, resources, ecology, environment, and economic and social development in the PLES system were revealed, and the nonlinear dynamic effects among subsystems and elements in the system identified. In addition, a series of optimization approaches for PLES is proposed

Urbanization in China: Through the City Construction in Qingming Scroll and the Proposition of New-Type Urbanization

In the 2019 Government Work Report of The State Council[1], Prime Minister of the People’s Republic of China, Li Keqiang, stressed the need to “promote coordinated regional development and improve the quality of new-type urbanization.” The Government Work Report of The State Council in May 2020 puts forward the basic principles of strengthening the new-type urbanization and improving the capacity of public service facilities[2]. (Xinhua News Agency [XNA], 2020). It is necessary to promote sustainable and livable urbanization. What should urbanization be like in the case of the new type as a crucial task of construction? How should it deepen the reform of the household registration system and promote economic development beyond the population balance of cities? Based on city clusters, how should urbanization further be promoted and comprehensively driven the Chinese economy after the epidemic? Will the "street stall economy" and "small shop economy" jointly proposed by the Central Civilization Office and Prime Minister in 2020 be a new opportunity? By reviewing Urbanization in China (2019) written by Houkai Wei, this paper believes that Qingming Scroll, as an observable example of the economic prosperity of the Northern Song Dynasty, can be a breakthrough in the analysis of the new-type urbanization. Taking the urbanization of the Northern Song Dynasty shown in Qingming Scroll as a base, this paper will further give a new answer on how to further develop and improve the new urbanization. Based on the analysis of the national urbanization of Bianjing in the Northern Song Dynasty shown and the process given by Urbanization in China, this paper further speculates and constructs the possibility of development. Therefore, according to the characteristics of cities and the nature of urban development in the Northern Song Dynasty, this paper tries to analyze the structure of urbanization in New China and discusses feasible new ways of the urban economy.[1] Li, Keqiang. (2019). Report on the Work of the Government of the State Council.[2] Xinhua News Agency. (2020). Report on the Work of the Government for 2020

Annual Report: 2008

I submit herewith the annual report from the Agricultural and Forestry Experiment Station, School of Natural Resources and Agricultural Sciences, University of Alaska Fairbanks, for the period ending December 31, 2008. This is done in accordance with an act of Congress, approved March 2, 1887, entitled, “An act to establish agricultural experiment stations, in connection with the agricultural college established in the several states under the provisions of an act approved July 2, 1862, and under the acts supplementary thereto,” and also of the act of the Alaska Territorial Legislature, approved March 12, 1935, accepting the provisions of the act of Congress. The research reports are organized according to our strategic plan, which focuses on high-latitude soils, high-latitude agriculture, natural resources use and allocation, ecosystems management, and geographic information. These areas cross department and unit lines, linking them and unifying the research. We have also included in our financial statement information on the special grants we receive. These special grants allow us to provide research and outreach that is targeted toward economic development in Alaska. Research conducted by our graduate and undergraduate students plays an important role in these grants and the impact they make on Alaska.Financial statement -- Grants -- Students -- Research reports: Partners, Facilities, and Programs; Geographic Information; High-Latitude Agriculture; High-Latitude Soils, Management of Ecosystems; Natural Resources Use and Allocation; Index to Reports -- Publications -- Facult

Annual Report: 2009

I submit herewith the annual report from the Agricultural and Forestry Experiment Station, School of Natural Resources and Agricultural Sciences, University of Alaska Fairbanks, for the period ending December 31, 2009. This is done in accordance with an act of Congress, approved March 2, 1887, entitled, “An act to establish agricultural experiment stations, in connection with the agricultural college established in the several states under the provisions of an act approved July 2, 1862, and under the acts supplementary thereto,” and also of the act of the Alaska Territorial Legislature, approved March 12, 1935, accepting the provisions of the act of Congress. The research reports are organized according to our strategic plan, which focuses on high-latitude soils, high-latitude agriculture, natural resources use and allocation, ecosystems management, and geographic information. These areas cross department and unit lines, linking them and unifying the research. We have also included in our financial statement information on the special grants we receive. These special grants allow us to provide research and outreach that is targeted toward economic development in Alaska. Research conducted by our graduate and undergraduate students plays an important role in these grants and the impact they make on Alaska.Financial statement -- Grants -- Students -- Research Reports: Partners, Facilities, and Programs; Geography; High-Latitude Agriculture; High-Latitude Soils; Management of Ecosystems; Natural Resources Use and Allocation; Index to Reports -- Publications -- Facult

NASA SBIR abstracts of 1990 phase 1 projects

The research objectives of the 280 projects placed under contract in the National Aeronautics and Space Administration (NASA) 1990 Small Business Innovation Research (SBIR) Phase 1 program are described. The basic document consists of edited, non-proprietary abstracts of the winning proposals submitted by small businesses in response to NASA's 1990 SBIR Phase 1 Program Solicitation. The abstracts are presented under the 15 technical topics within which Phase 1 proposals were solicited. Each project was assigned a sequential identifying number from 001 to 280, in order of its appearance in the body of the report. The document also includes Appendixes to provide additional information about the SBIR program and permit cross-reference in the 1990 Phase 1 projects by company name, location by state, principal investigator, NASA field center responsible for management of each project, and NASA contract number

Geo Data Science for Tourism

This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations.