Analysis of Spatial Distribution of the Neolithic Settlements in Zhengzhou-Luoyang Area by Using GIS

2013 ◽  
Vol 284-287 ◽  
pp. 1518-1522
Author(s):  
Wen Wen Qiao ◽  
Shuo Ben Bi ◽  
Qi Fu Wang ◽  
Jing Tao Liang
Keyword(s):  
Spatial Distribution ◽  
Predictive Model ◽  
Arable Soils ◽  
Spatial Features ◽  
Neolithic Age ◽  
Environment Variables ◽  
Settlement Site ◽  
The Relationship ◽  
The Neolithic Age ◽  
Settlement Distribution

Zhengzhou-Luoyang area is one of the cradles of ancient Chinese civilization and contains more than 1000 settlements of the Neolithic Age. To study the spatial distribution of the Neolithic settlements in the region, this paper applied the Geographic Information Systems (GIS) to investigate the relationship between site locations and environmental variables. The results of GIS analysis show that the settlement distribution of each culture period has a clustered pattern and obvious spatial features. Most of the settlements tend to be located in flat areas with low elevation and close to rivers and arable soils. Based on the environment variables, a Neolithic settlement site predictive model was generated to predict the archaeological probability of any given area in Zhengzhou-Luoyang area. The predictive model and distribution characteristics obtained here can help better understand the Neolithic man-land relationship and provide guidance for future field archaeology.

The Lushanmao site of the Neolithic Age in Yan’an City, Shaanxi Province

2020 ◽  
Vol 20 (1) ◽  
pp. 25-40
Keyword(s):  
Large Scale ◽  
City Planning ◽  
Capital City ◽  
Shaanxi Province ◽  
Rammed Earth ◽  
The Core ◽  
Neolithic Age ◽  
Settlement Site ◽  
Ritual Systems ◽  
The Neolithic Age

AbstractThe Lushanmao site is a large-scale settlement site from the late Miaodigou Phase II culture to the late Longshan age located in Yan’an City, Shaanxi Province. The core zone of the settlement is on a hill ridge, on the top of which four large-sized rammed-earth platform foundations are distributed, each of which had large-sized rammed-earth architecture sites on top. On the top of the excavated Da Yingpan Liang (Large Garrison Ridge), one large courtyard and two smaller courtyards were distributed. Of them, the large courtyard was facing south, which would be the earliest palace complex in an axial symmetrical plan known to date in China, and the two smaller ones would be its guardhouses. In the large courtyard, a set of roof tiles, which would be the earliest ones known to date in China, were unearthed; and jades were also found in the rammed-earth foundation or walls. These discoveries are significantly valuable for the studies on the early capital city planning, origins, and evolutions of palaces and the developments of the early ritual systems and architectural materials of China.

scholarly journals Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

2021 ◽  
Author(s):  
Zhongqi Wang ◽  
Qi Han ◽  
Bauke de Vries ◽  
Li Dai
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Operations Management ◽  
Latent Variable ◽  
Structural Equation ◽  
Equation Modeling ◽  
Rail Transit ◽  
Land Use Patterns ◽  
Transit Services ◽  
The Relationship

AbstractThe identification of the relationship between land use and transport lays the foundation for integrated land use and transport planning and management. This work aims to investigate how rail transit is linked to land use. The research on the relationship between land use and rail-based transport is dominated by the impacts of rail projects on land use, without an in-depth understanding of the reverse. However, it is important to note that issues of operation management rather than new constructions deserve greater attention for regions with established rail networks. Given that there is a correspondence between land use patterns and spatial distribution of heavy railway transit (HRT) services at such regions, the study area (i.e., the Netherlands) is partitioned by the Voronoi diagram of HRT stations and the causal relationship between land use and HRT services is examined by structural equation modeling (SEM). The case study of Helmond (a Dutch city) shows the potential of the SEM model for discussing the rail station selection problem in a multiple transit station region (MTSR). Furthermore, in this study, the node place model is adapted with the derivatives of the SEM model (i.e., the latent variable scores for rail service levels and land use characteristics), which are assigned as node and place indexes respectively, to analyze and differentiate the integration of land use and HRT services at the regional level. The answer to whether and how land use affects rail transit services from this study strengthens the scientific basis for rail transit operations management. The SEM model and the modified node place model are complementary to be used as analytical and decision-making tools for rail transit-oriented regional development.

scholarly journals Double parton distributions in the pion from lattice QCD

2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
Gunnar S. Bali ◽  
Luca Castagnini ◽  
Markus Diehl ◽  
Jonathan R. Gaunt ◽  
Benjamin Gläßle ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Lattice Qcd ◽  
Quark Mass ◽  
Matrix Elements ◽  
Parton Distributions ◽  
Almost All ◽  
The Relationship

Abstract We perform a lattice study of double parton distributions in the pion, using the relationship between their Mellin moments and pion matrix elements of two local currents. A good statistical signal is obtained for almost all relevant Wick contractions. We investigate correlations in the spatial distribution of two partons in the pion, as well as correlations involving the parton polarisation. The patterns we observe depend significantly on the quark mass. We investigate the assumption that double parton distributions approximately factorise into a convolution of single parton distributions.

scholarly journals A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage

2019 ◽  
Vol 6 (1) ◽  
pp. 180718 ◽  
Author(s):  
Luca Roscini ◽  
Lorenzo Favaro ◽  
Laura Corte ◽  
Lorenzo Cagnin ◽  
Claudia Colabella ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Saccharomyces Cerevisiae ◽  
Predictive Model ◽  
Lignocellulosic Ethanol ◽  
Bioethanol Production ◽  
Inhibitor Concentration ◽  
Promising Tool ◽  
Different Types ◽  
The Relationship ◽  
Ecotoxicological Bioassay

Lignocellulosic bioethanol production results in huge amounts of stillage, a potentially polluting by-product. Stillage, rich in heavy metals and, mainly, inhibitors, requires specific toxicity studies to be adequately managed. To this purpose, we applied an FTIR ecotoxicological bioassay to evaluate the toxicity of lignocellulosic stillage. Two weak acids and furans, most frequently found in lignocellulosic stillage, have been tested in different mixtures against three Saccharomyces cerevisiae strains. The metabolomic reaction of the test microbes and the mortality induced at various levels of inhibitor concentration showed that the strains are representative of three different types of response. Furthermore, the relationship between concentrations and FTIR synthetic stress indexes has been studied, with the aim of defining a model able to predict the concentrations of inhibitors in stillage, resulting in an optimized predictive model for all the strains. This approach represents a promising tool to support the ecotoxicological management of lignocellulosic stillage.

scholarly journals Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables

2015 ◽  
Vol 87 (3) ◽  
pp. 1717-1726 ◽  
Author(s):  
JULIANA WOJCIECHOWSKI ◽  
ANDRÉ A. PADIAL
Keyword(s):  
Temporal Variability ◽  
Environmental Variables ◽  
Environmental Changes ◽  
Environmental Variability ◽  
Time Lag ◽  
Cyanobacteria Blooms ◽  
Environment Variables ◽  
Sampling Points ◽  
The Relationship

One of the main goals of monitoring cyanobacteria blooms in aquatic environments is to reveal the relationship between cyanobacterial abundance and environmental variables. Studies typically correlate data that were simultaneously sampled. However, samplings occur sparsely over time and may not reveal the short-term responses of cyanobacterial abundance to environmental changes. In this study, we tested the hypothesis that stronger cyanobacteria x environment relationships in monitoring are found when the temporal variability of sampling points is incorporated in the statistical analyses. To this end, we investigated relationships between cyanobacteria and seven environmental variables that were sampled twice yearly for three years across 11 reservoirs, and data from an intensive monitoring in one of these reservoirs. Poor correlations were obtained when correlating data simultaneously sampled. In fact, the 'highly recurrent' role of phosphorus in cyanobacteria blooms is not properly observed in all sampling periods. On the other hand, the strongest correlation values for the total phosphorus x cyanobacteria relationship were observed when we used the variation of sampling points. We have also shown that environment variables better explain cyanobacteria when a time lag is considered. We conclude that, in cyanobacteria monitoring, the best approach to reveal determinants of cyanobacteria blooms is to consider environmental variability.

scholarly journals Men's health: non-communicable chronic diseases and social vulnerability

2016 ◽  
Vol 24 (0) ◽  
Author(s):  
Daniele Natália Pacharone Bertolini Bidinotto ◽  
Janete Pessuto Simonetti ◽  
Silvia Cristina Mangini Bocchi
Keyword(s):  
Spatial Distribution ◽  
Chronic Diseases ◽  
Glucose Intolerance ◽  
Social Vulnerability ◽  
Medical Records ◽  
Urban Areas ◽  
International Classification Of Diseases ◽  
Classification Of Diseases ◽  
Mixed Approach ◽  
The Relationship

ABSTRACT Objectives: to evaluate the relationship between absences in scheduled appointments and the number of non-communicable chronic diseases and to investigate the relationship between spatial distribution of these diseases and social vulnerability, using geoprocessing. Method: a quantitative study of sequential mixed approach by analyzing 158 medical records of male users to relate the absences and 1250 medical records for geoprocessing Results: the higher the number of absences in the scheduled medical appointments, the less were the number of non-communicable chronic diseases and the ones listed in the International Classification of Diseases in single men. There were 21 significant geostatistically cases of glucose intolerance in the urban area. Of these, 62% lived in a region with a social vulnerability rating of Very Low, Medium 19%, 14% Low and 5% High. Conclusion: it was observed that the older the men, the greater is the number of chronic diseases and the less they miss scheduled appointments. Regarding the use of geoprocessing, we obtained a significant number of cases of glucose intolerance in urban areas, the majority classified as Very Low social vulnerability. It was possible to relate the spatial distribution of these diseases with the social vulnerability classification; however, it was not possible to perceive a relationship of them with the higher rates of social vulnerability.

scholarly journals Spatial distribution of sunflower cultivars and the relationship between growth features

2012 ◽  
Vol 43 (2) ◽  
pp. 338-345 ◽  
Author(s):  
Thomas Newton Martin ◽  
Paulo Sérgio Pavinato ◽  
Leandro Homrich Lorentz ◽  
Renice Paula Zielinski ◽  
Rosana Refatti
Keyword(s):  
Spatial Distribution ◽  
Growth Features ◽  
The Relationship
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