Synthetic tidal parameters for gravity over China and its neighbor area

Zhou, Jixue; Sun, Heping

doi:10.1007/s11589-007-0656-0

Cited by 4 publications

(6 citation statements)

References 12 publications

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“…Zhou et al pointed out that it was necessary to adopt higher resolution and constructed tidal parameters for gravity in China and its neighbor area with spatial resolution of 0.25 • by using the same method as Zahren's. The results showed that the constructed tidal parameters were in good agreement with the observed ones [32,34] . In order to obtain correction model with high accuracy, it is necessary to take the secondary constituents into consideration, especially the ones whose frequencies are closer to the eigenfrequency of Earth's NDFW.…”

Section: Introductionsupporting

confidence: 81%

“…Because the ocean tidal height and its phase from ocean tide model are not comprised of geodetic coefficients which are used in solid earth tides and have +/-sign in different areas, and because the amplitude is always defined positive, the sign of geodetic coefficients will induce phase shift of 180 • when summing solid earth tides and ocean tide loading effects to obtain tidal parameters through Eq. (4) below in some area [32] .…”

Section: Construction Of the Modelmentioning

confidence: 99%

“…Tidal gravity can be synthesized according to theoretical or experimental solid Earth's tide models and ocean tide loading [31,32] , which will provide continuous and absolute gravity measurements with accurate correction model. Zahren et al [33] constructed tidal parameters of some main constituents for tidal gravity and displacement of global continent with spatial resolution of 0.5 • .…”

Section: Introductionmentioning

confidence: 99%

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Accurate Correction Models for Tidal Gravity in Chinese Continent

Zhou

Sun

2009

Chinese J of Geophysics

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Accurate correction models for tidal gravity in Chinese continent are developed by using the recent theoretical and experimental models for the Earth's tidal gravity, in which the loading effects of the global and local ocean tides are combined. The relative difference of tidal gravity variations induced from different Earth's tidal gravity models is less than 0.06%. The ocean tide loading effects are about 4% of the total tidal gravity in coastal area while they are about 1% in inland. The difference between the ocean tide loading effects estimated from global ocean tide models and modified global models with local tides is about 10% of the total ocean tide loading effects. And the interpolated and extrapolated ocean tide loading effects are about 3% of the total ones. Comparing the observed tidal gravity variations by superconducting gravimeter with the ones calculated through the correction models, it is confirmed that the models developed in this study can accurately predict the tidal gravity signatures with a precision much better than 0.5 × 10−8 m·s−2. Consequently, it is expected that the models should provide an effective reference and accurate correction models for gravity measurements.

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Section: Introductionsupporting

confidence: 81%

Section: Construction Of the Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accurate Correction Models for Tidal Gravity in Chinese Continent

Zhou

Sun

2009

Chinese J of Geophysics

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“…Based on the population density measure proposed by Zhou [51], the core explanatory variable population density is equal to the resident population/built-up area of the district or county. Among them, the existing statistical yearbooks in China cannot provide robust built-up area data for consecutive years [41].…”

Section: Data Sourcesmentioning

confidence: 99%

Impact of Population Density on Spatial Differences in the Economic Growth of Urban Agglomerations: The Case of Guanzhong Plain Urban Agglomeration, China

Chen,

Yu,

Yin

et al. 2023

Sustainability

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In the new period of ups and downs in the international environment, it is necessary to seek a new endogenous impetus for the economic growth of urban agglomerations. Population agglomeration provides a new idea to explain the spatial differences in the economic growth of urban agglomerations. Thus, we ask the question, does population agglomeration affect the spatial differences in the economic growth of urban agglomerations, and how? This study first measured the spatial differences in district- and county-scale economic growth in China’s Guanzhong Plain urban agglomeration from 2005 to 2020 and then constructed an empirical formula to calculate the impact of population density on the urban agglomeration’s economic growth, taking into account the roles of both intra- and inter-district and county interactions. Thus, based on the population density data extracted from nighttime lighting data, we analyzed the impact of population density on economic growth within urban agglomerations, as well as the extent of the impact of population density on economic growth when incorporating spillover effects from neighboring districts and counties. The results indicate that, firstly, the Guanzhong Plain urban agglomeration in China has formed a “core-periphery” development pattern, with the main urban areas of Xi’an–Xianyang and Baoji as the core and the core area gradually spreading out to the neighboring districts and counties of their cities. Secondly, population density can significantly and steadily promote the economic growth of the districts and counties within the urban agglomeration, and the population agglomeration of districts and counties with railway stations can have a stronger effect on the economic growth of these districts and counties. Third, the agglomeration of economic and demographic factors in neighboring counties has a positive spillover effect on the local economy, while the positive impact of population density on economic growth remains unchanged when it is integrated into the spillover effect of neighboring counties. This study not only provides a theoretical basis for systematically exploring the influence of population density on the economic growth of urban agglomerations but also provides a reference for local governments to formulate policies related to regional economic development and spatial territorial planning. According to the research conclusion, this study suggests that local governments can continue to promote the regional development policy of spatial agglomeration and intensive land planning, strengthen the construction of the industrial chain and road network within the urban agglomeration, and deepen the network connection between districts and counties.

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“…Urban territorial boundaries can be divided into three categories, namely administrative, functional, and physical territories. Among them, the physical territory best expresses the territorial scope of the city [16]. On this basis, many scholars have used various methods to try to identify the territorial extent of the city.…”

Section: Introductionmentioning

confidence: 99%

Assessing Regional Development Balance Based on Zipf’s Law: The Case of Chinese Urban Agglomerations

Kong,

Wu,

Deng

et al. 2023

IJGI

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With the deepening of urbanization in China, the coordinated development of cities in different regions is an important part of the sustainable development of the country, and the reasonable quantification of the unbalanced development of cities in different regions is an important issue facing the society nowadays. Previous studies usually use population data to analyze the power-law distribution law to quantify the imbalance of urban development in different regions, but China’s population data span a large number of years and numerous division criteria, and the results obtained from different population data are widely disparate and have obvious limitations. The paper starts from a fractal perspective and utilizes OpenStreetMap (OSM) data to extract national road intersections from 2015 to 2022, calculates critical distance thresholds for eight years using urban expansion curves, generates urban agglomerations in China, and quantifies the imbalance of urban development in different regions by calculating the urban agglomeration power-law index. The results indicate that (1) the critical distance threshold of urban expansion curves exhibits a slight overall increase and stabilizes within the range of 120–130 m, (2) the number of urban agglomerations in China has been increasing significantly year by year, but the power-law index has been decreasing from 1.49 in 2015 to 1.36 in 2022, and (3) the number of urban agglomerations and the power–law index of the Beijing–Tianjin–Hebei, Yangtze River Delta, Pearl River Delta, and Chengdu–Chongqing regions, which is consistent with the national scale trend, indicates that the scale distribution of urban agglomerations in China at this stage does not conform to Zipf’s law, and there is a certain Matthew effect among cities in different geographic areas with a large unevenness. The results of the study can provide new ideas for assessing the coordinated development of cities in different regions. It compensates for the instability of population and economic data in traditional studies.

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Synthetic tidal parameters for gravity over China and its neighbor area

Cited by 4 publications

References 12 publications

Accurate Correction Models for Tidal Gravity in Chinese Continent

Accurate Correction Models for Tidal Gravity in Chinese Continent

Impact of Population Density on Spatial Differences in the Economic Growth of Urban Agglomerations: The Case of Guanzhong Plain Urban Agglomeration, China

Assessing Regional Development Balance Based on Zipf’s Law: The Case of Chinese Urban Agglomerations

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