The Visual Landscape Cluster Analysis of Qishan National Forest Park Based on GIS and AHP

2015 ◽  
Vol 1092-1093 ◽  
pp. 1317-1325
Author(s):  
Jin Da Qi ◽  
Wei Li ◽  
Wei Cong Fu ◽  
Jian Wen Dong ◽  
Shuang Yi Lin

This paper uses Qishan National Forest Park as a sample to apply step analysis and cluster analysis on 14 attractions in this park by GIS spatial analysis function. To be more exact, based on planar space theory, visibility, continuity, clarity, comfort and other six factors were selected to be analyzed. Results provide that one attraction has the best landscape resource, six attractions own better landscape resource, two attractions is general and five spots are poor. The results are used to verify the feasibility of landscape visual assessment model which is based on GIS technology. Furthermore, this would also provide technical support for the visual landscape assessment of forest park.

2021 ◽  
Vol 13 (18) ◽  
pp. 3704
Author(s):  
Pengcheng Zhao ◽  
Fuquan Zhang ◽  
Haifeng Lin ◽  
Shuwen Xu

Fire risk prediction is significant for fire prevention and fire resource allocation. Fire risk maps are effective methods for quantifying regional fire risk. Laoshan National Forest Park has many precious natural resources and tourist attractions, but there is no fire risk assessment model. This paper aims to construct the forest fire risk map for Nanjing Laoshan National Forest Park. The forest fire risk model is constructed by factors (altitude, aspect, topographic wetness index, slope, distance to roads and populated areas, normalized difference vegetation index, and temperature) which have a great influence on the probability of inducing fire in Laoshan. Since the importance of factors in different study areas is inconsistent, it is necessary to calculate the significance of each factor of Laoshan. After the significance calculation is completed, the fire risk model of Laoshan can be obtained. Then, the fire risk map can be plotted based on the model. This fire risk map can clarify the fire risk level of each part of the study area, with 16.97% extremely low risk, 48.32% low risk, 17.35% moderate risk, 12.74% high risk and 4.62% extremely high risk, and it is compared with the data of MODIS fire anomaly point. The result shows that the accuracy of the risk map is 76.65%.


2020 ◽  
Vol 16 (7) ◽  
pp. 1223-1245
Author(s):  
V.V. Smirnov

Subject. The article focuses on the modern financial system of Russia. Objectives. I determine the limit of the contemporary financial system in Russia. Methods. The study is based on methods of descriptive statistics, statistical and cluster analysis. Results. The article shows the possibility of determining the scope of the contemporary financial system in Russia by establishing monetary relations as the order of the internal system and concerted operation of subsystems, preserving the structure of the financial system, maintaining the operational regime, implementing the program and achieving the goal. I found that the Russian financial system correlated with the Angolan one, and the real scope of the contemporary financial system in Russia. Conclusions and Relevance. As an attempt to effectively establish monetary relations and manage them, the limit of the contemporary financial system is related to the possibility of using Monetary Aggregate M0 to maintain the balance of the Central Bank of Russia. To overcome the scope of Russia’s financial system, the economy should have changed its specialization, refocusing it on high-tech export and increasing the foreign currency reserves. This can be done if amendments to Russia’s Constitution are adopted. The findings expand the scope of knowledge and create new competence in the establishment of monetary relations, order of the internal system and concerted interaction of subsystems, structural preservation of the financial system and maintenance of its operational regime.


Green Farming ◽  
2020 ◽  
Vol 11 (4-5) ◽  
pp. 299
Author(s):  
SURESH ◽  
OM PARKASH BISHNOI ◽  
RENU MUNJAL ◽  
RISHI KUMAR BEHL

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