Analysis of Human-Land Coupled Bearing Capacity of Qiangtang Meadow in Northern Tibet Based on Fuzzy Clustering Algorithm

Shibao Li

doi:10.1155/2020/8231237

Abstract

Aiming to address the problems of high energy consumption, low efficiency, low correlation between the analyzed and actual results, and poor rationality of research indexes in current methods of analysis of human-land coupled bearing capacity of meadows, a novel method of human-land coupled bearing capacity analysis of Qiangtang meadow in northern Tibet, based on fuzzy clustering algorithm, is proposed. Basic geographic information data in Tibet were acquired, the collected data images were registered by ENVI4.2 software, and the collected data were vectorized by ArcGIS 9.3 software to construct a basic geographic information database in Tibet. Based on the frequency domain processing algorithm, the geographic information image was suppressed by noise and filtered by using a high-pass filter to realize the geographic information data processing in the study area. The human-land coupled bearing capacity analysis of Qiangtang meadow in northern Tibet was evaluated through fuzzy clustering, bearing capacity evaluation, and bearing capacity calculation under the sharing of closure. The experimental results showed that the average running energy consumption of the method was 81 J, and 97% of the analyzed results were consistent with the actual situation. These results indicate that the operation efficiency of the method is high, and the rationality coefficient of the research index is large. The proposed method has superior performance and feasibility.

Highlights

As a very unique geographical unit, Tibet has the highest altitude and largest area in the world and is the largest area of natural grassland in China
It was found that Cordyceps sinensis excavation and grazing were the main human perturbing factors that led to degradation of grassland, increased spatial heterogeneity of community, and caused functional changes in plant community and decline of species diversity
Aiming at the problems existing in the current research in this field, a method for human-land coupled bearing capacity analysis of Qiangtang meadow in northern Tibet based on fuzzy clustering algorithm has been proposed. e details of the process are as follows: (1) ENVI4.2 software was used to register the collected data and ArcGIS 9.3 was used to vectorize the collected data, which provides a basis for the analysis of human-land coupled bearing capacity of Qiangtang meadow in northern Tibet

Summary

Introduction

As a very unique geographical unit, Tibet has the highest altitude and largest area in the world and is the largest area of natural grassland in China. Aiming at the problems existing in the current research in this field, a method for human-land coupled bearing capacity analysis of Qiangtang meadow in northern Tibet based on fuzzy clustering algorithm has been proposed. (1) ENVI4.2 software was used to register the collected data and ArcGIS 9.3 was used to vectorize the collected data, which provides a basis for the analysis of human-land coupled bearing capacity of Qiangtang meadow in northern Tibet (2) Based on the frequency domain processing algorithm, the noise of the geographic information image was suppressed, and the reconstructed geographic information image was filtered by using a high-pass filter to realize the preprocessing of the collected data (3) Fuzzy clustering algorithm was used to analyze the human-land coupled bearing capacity of Qiangtang meadow in northern Tibet, and the final results of the human-land coupled bearing capacity of the meadow were obtained (4) e proposed method was verified by experiments and discussions (5) e full text is summarized, and suggestions are put forward for future development

Materials and Methods

Ex1p0erime1n5tal it2e0ration2s5

Findings

Conclusion