The Design and Development of an Earthquake Rapid Assessment System Based on GIS Technology in Yunnan

2014 ◽  
Vol 926-930 ◽  
pp. 2590-2593 ◽  
Author(s):  
Shuang Yun Peng ◽  
Kun Yang
Keyword(s):  
Emergency Response ◽  
Spatial Data ◽  
Rapid Assessment ◽  
Assessment System ◽  
Gis Technology ◽  
Emergency Rescue ◽  
Attribute Data ◽  
Disaster Loss ◽  
Field Investigations ◽  
Short Time

It is very important that assess the number of casualties, the losses of economy and building after the earthquake and in the absence of field investigations. The work of assessment is very significant to earthquake emergency rescue decisions. Because of this requirement, this paper design and develop an earthquake rapid assessment system which based on GIS technology. We can get earthquake disaster loss result which integrating maps, table and text by fusing the spatial data and attribute data in the GIS support in short time. This result can help us to compute the beginning levels of earthquake emergency response, which is an important auxiliary decision support supports.

Research on the Consequence Assessment System of Natural Gas Pipeline Leakage Accidents

2013 ◽  
Vol 295-298 ◽  
pp. 744-748 ◽  
Author(s):  
Chao Qun Wang ◽  
Jian She Chai ◽  
Wei Wei Niu
Keyword(s):  
Natural Gas ◽  
Spatial Data ◽  
Oil And Gas Industry ◽  
Gas Diffusion ◽  
Gas Pipeline ◽  
Assessment System ◽  
Initial State ◽  
Emergency Rescue ◽  
Natural Gas Pipeline ◽  
Space Data

With the rapid oil and gas industry development, the city gas pipeline has become a necessary infrastructure of the modern city. The Pipe leakage emergency rescue often involving multiple people and departments at all levels, also a large number of geographical space data for piping around. The Geographic Information System (GIS) has many advantages that it can conduct spatial data management, data visualization, analysis, simulation, and integrating with other systems. The main study line is simulating the gas diffusion, firing and exposing, once leaking, researching to the establishment of accident prevention, reducing damage caused by an accident emergency rescue system of city natural gas pipeline. The system can make a visual show of the assessment area of accident consequence with different grades through inputting physical and chemical parameters of natural gas, initial state of gas leakage and weather conditions.

Research on Framework of Digital City Based on GIS

2011 ◽  
Vol 109 ◽  
pp. 734-737
Author(s):  
Yong Song Zhan ◽  
Xian Jun Chen ◽  
Wen Zhao Liu
Keyword(s):  
Spatial Data ◽  
Digital City ◽  
Gis Technology ◽  
Digital Earth ◽  
Attribute Data ◽  
Key Techniques

The GIS technology provides a new mechanism and an effective method to develop Digital City, which is an important node of implementing the digital earth. In this paper, the framework of Digital City based on GIS is investigated. Through GIS service, the urban spatial data and attribute data can be accessed and integrated seamlessly to various Digital City applications. Moreover, a Digital City application is given to illustrate the key techniques based on MapObjects of ESRI and an objects-oriented developing tool, namely, Visual C++. Experiment results show the robustness and efficiency of the proposed method.

Spatial Analysis of Water Resources Data in Selected Districts of Bihar

2019 ◽  
Vol 6 (03) ◽  
Author(s):  
MANIBHUSHAN MANIBHUSHAN ◽  
AKRAM AHMED
Keyword(s):  
Water Resources ◽  
Spatial Data ◽  
Water Bodies ◽  
Tabular Form ◽  
Tabular Data ◽  
Standing Water ◽  
Attribute Data ◽  
State Study ◽  
Scientific Personnel ◽  
Bihar State

The main aim of this study is to apply geographic information system (GIS) and data mining techniques to get the attribute data in a spatial and tabular form related to district wise availability of standing water bodies in their area and number of Bihar state. An analysis has been done on available spatial data and maps to get non-spatial/ tabular data, which are in a more easily understandable form. Data extracted district-wise related to area and number of standing water bodies according to their size of Bihar state. Study shows that the number and area of standing water bodies in Madhubani, East Champaran and Patna districts are 2185, 1753, 350 and 2355.42, 6752.36 and 8429.68 ham respectively. In this way, number and area of standing water bodies of other districts of Bihar are also extracted from geodatabases and digitized maps. This type of information is more useful than the spatial data because a common person is able to understand these tabular data and they can use this data for their own purposes. These data can be utilized by scientific personnel as well as farmers and that will be used in agriculture for better utilization of water resources to enhance agricultural productivity and income of farmers of Bihar state.

scholarly journals The Development of Disaster Nursing in China-from the Spirit of Nightingale to COVID-19

2020 ◽  
pp. 1-15
Author(s):  
DI Zhang ◽  
Liyan Zhang ◽  
Aihua Gong
Keyword(s):  
Emergency Response ◽  
Nursing Staff ◽  
Rapid Development ◽  
Theoretical Development ◽  
Emergency Rescue ◽  
Chinese Model ◽  
Practice Models ◽  
The World ◽  
National Disaster

Abstract As an emerging discipline, disaster nursing is very important in disaster emergency management, but there are few mature practice models and theoretical discussions. In particular, the contribution of nursing staff in disaster emergency has not yet received widespread attention and recognition. After more than ten years of rapid development, China’s disaster nursing has gradually formed a Chinese model and Chinese experience. During the global fight against COVID-19, this article takes the nursing work in disaster emergency rescue as the perspective and briefly describes the development process of disaster nursing in China to introduce the practice and theoretical development of disaster nursing in China to nursing workers around the world. By analyzing the role of Chinese nurses in national disaster emergency response, it provides a reference for global disaster nursing talent capacity building. By sharing the Nightingale spirit of Chinese nurses in disaster emergency, we will show people all over the world the professional value of disaster nursing practitioners and pay tribute to the nursing staff engaged in disaster emergency work.

scholarly journals Natural Hazards – Nonlinearities and Assessment

2011 ◽  
Vol 1 (1) ◽  
pp. 2
Author(s):  
Gerassimos A. Papadopoulos
Keyword(s):  
Natural Hazards ◽  
Emergency Response ◽  
Rapid Assessment ◽  
Economic Loss ◽  
Loss Of Life ◽  
The People ◽  
Reliable Assessment ◽  
Wide Range ◽  
Underlying Causes ◽  
And Control

Geosciences are developing and applying a wide range of methodologies to assess natural hazards. Significant advances in the site characterization and models development have been achieved in the last decade, but many challenges still remain. Several disastrous earthquakes in the past decade accompanied with tsunamis have required a rapid assessment of the underlying causes of the tragic loss of life and property. Natural disasters risk reduction and control as a crucial criterion for sustainable development and minimizing social and economic loss and disruption due to earthquakes, tsunamis and other hazards requires reliable assessment of the seismic and tsunami hazard, as well as mitigation actions of the vulnerability of the built environment and risk. All of these provide the critical basis for improved building codes and construction emergency response plans for the people and infrastructure safety and protection.

scholarly journals Photovoltaic Energy All-Day and Intra-Day Forecasting Using Node by Node Developed Polynomial Networks Forming PDE Models Based on the L-Transformation

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7581
Author(s):  
Ladislav Zjavka
Keyword(s):  
Spatial Data ◽  
Initial Conditions ◽  
Weather Prediction ◽  
Cloud Amount ◽  
Differential Polynomial ◽  
Order Partial Differential Equation ◽  
Computing Technique ◽  
Weather Patterns ◽  
Model Complex ◽  
Short Time

Forecasting Photovoltaic (PV) energy production, based on the last weather and power data only, can obtain acceptable prediction accuracy in short-time horizons. Numerical Weather Prediction (NWP) systems usually produce free forecasts of the local cloud amount each 6 h. These are considerably delayed by several hours and do not provide sufficient quality. A Differential Polynomial Neural Network (D-PNN) is a recent unconventional soft-computing technique that can model complex weather patterns. D-PNN expands the n-variable kth order Partial Differential Equation (PDE) into selected two-variable node PDEs of the first or second order. Their derivatives are easy to convert into the Laplace transforms and substitute using Operator Calculus (OC). D-PNN proves two-input nodes to insert their PDE components into its gradually expanded sum model. Its PDE representation allows for the variability and uncertainty of specific patterns in the surface layer. The proposed all-day single-model and intra-day several-step PV prediction schemes are compared and interpreted with differential and stochastic machine learning. The statistical models are evolved for the specific data time delay to predict the PV output in complete day sequences or specific hours. Spatial data from a larger territory and the initially recognized daily periods enable models to compute accurate predictions each day and compensate for unexpected pattern variations and different initial conditions. The optimal data samples, determined by the particular time shifts between the model inputs and output, are trained to predict the Clear Sky Index in the defined horizon.

Qualitative Geographic Information Systems (GIS): An untapped research approach for social work

2016 ◽  
Vol 17 (1) ◽  
pp. 9-23 ◽  
Author(s):  
Samantha Teixeira
Keyword(s):  
Social Work ◽  
Social Workers ◽  
Spatial Data ◽  
Geographic Information ◽  
Research Approach ◽  
Gis Technology ◽  
Social Work Research ◽  
Work Related ◽  
Introductory Overview ◽  
History Of

A Geographic Information System (GIS) is a digital technology that integrates hardware and software to analyze, store, and map spatial data. GIS allows users to visualize (i.e., map) geographic aspects of data including locations or spatial concentrations of phenomena of interest. Though public health and other social work related fields have embraced the use of GIS technology in research, social work lags behind. Recent technological advancements in the field of GIS have transformed what was once prohibitively expensive, “experts only” desktop software into a viable method for researchers with little prior GIS knowledge. Further, humanist and participatory geographers have developed critical, non-quantitative GIS approaches that bring to light new opportunities relevant to social workers. These tools could have particular utility for qualitative social workers because they can help us better understand the environmental context in which our clients reside and give credence to their assessments of strengths, weaknesses, and opportunities for intervention. This article provides an introductory overview of the history of GIS in social work research and describes opportunities to use spatially informed approaches in qualitative social work research using a case study of a participatory photo mapping research study.

The Role of GIS in City Competitiveness

2013 ◽  
pp. 1476-1501 ◽  
Author(s):  
Khan R. Rahaman ◽  
Júlia M. Lourenço
Keyword(s):  
Decision Making ◽  
Information System ◽  
Spatial Data ◽  
Information Access ◽  
Information Storage ◽  
Future Research ◽  
Gis Technology ◽  
Global Competitiveness ◽  
The World

Virtually every city and region is engaged in activities to improve their relative global competitiveness. The Geographic Information System (GIS) is one of the powerful tools of information storage and information access, providing spatial data to different stakeholders and cities across the world. This chapter will highlight the role of GIS technology in empirical assessment of the competition among cities or regions, using a variety of data assembled by many different individuals, businesses, and institutions. This valuable information can be used in decision-making by stakeholders who are taking part in the competition and can be disseminated, accessed, and updated in a dynamic way. This chapter discusses the origins of urban competitiveness, dynamics and functions of competition, and current and future research possibilities made possible by GIS.

Study of Potential Climate for Sugarcane Production in the State of Rio Grande Do Sul, Brazil, By Means of Geoprocessing

2011 ◽  
pp. 96-106
Author(s):  
Fernando Soares ◽  
José Alba ◽  
Elódio Sebem ◽  
Marcos Wrege
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Regional Scale ◽  
Rio Grande ◽  
Local Scale ◽  
The State ◽  
Rio Grande Do Sul ◽  
Gis Technology ◽  
Physiological Maturity ◽  
Climate Study

A potential climate study for sugarcane of a sector of Rio Grande do Sul State, Brazil is presented here. GIS technology was applied for evaluation of the risk of frost and for integration of spatial data. The problem was focused in regional scale and in local scale (Municipality of Jaguari). Results showed that cultivation can be programmed in order to obtain physiological maturity before the period of risk of frost, thus avoiding low production. Spatial analysis of the information allows rapid perspective for productivity of sugarcane in a specific territory. The Municipality of Jaguari has large potential for cultivation of sugarcane because of the absence of the risk of frost. Its productivity allows for expansion into suitable neighboring areas. Also, geoprocessing combined with the study of climate and soil appears as a significant tool for interpreting the areas with aptitude for production of sugarcane or for the industry of sugar and alcohol.

scholarly journals Estimation of Winter Wheat Production Potential Based on Remotely-Sensed Imagery and Process-Based Model Simulations

2020 ◽  
Vol 12 (17) ◽  
pp. 2857
Author(s):  
Tingting Lang ◽  
Yanzhao Yang ◽  
Kun Jia ◽  
Chao Zhang ◽  
Zhen You ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Spatial Data ◽  
Crop Production ◽  
Model Simulation ◽  
Image Data ◽  
Crop Productivity ◽  
Transfer Model ◽  
Gis Technology ◽  
Production Potential ◽  
Dssat Model

Crop production potential is an index used to evaluate crop productivity capacity in one region. The spatial production potential can help give the maximum value of crop yield and visually clarify the prospects of agricultural development. The DSSAT (Decision Support System for Agrotechnology Transfer) model has been used in crop growth analysis, but spatial simulation and analysis at high resolution have not been widely performed for exact crop planting locations. In this study, the light-temperature production potential of winter wheat was simulated with the DSSAT model in the winter wheat planting area, extracted according to Remote Sensing (RS) image data in the Jing-Jin-Ji (JJJ) region. To obtain the precise study area, a Decision Tree (DT) classification was used to extract the winter wheat planting area. Geographic Information System (GIS) technology was used to process spatial data and provide a map of the spatial distribution of the production potential. The production potential of winter wheat was estimated in batches with the DSSAT model. The results showed that the light-temperature production potential is between 4238 and 10,774 kg/ha in JJJ. The production potential in the central part of the planting area is higher than that in the south and north in JJJ due to the influences of light and temperature. These results can be useful for crop model simulation users and decision makers in JJJ.

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