Sensor Nodes Deployment Strategy for Monitoring Roadside Biomass Carbon Stocks of Tourism Destination: A Case of Wulong World Natural Heritage, China

Jun Liu,Xi Yang,Hao Long Liu,Zhi Qiao

doi:10.1155/2014/840278

Abstract

Since the late 1978s, China has experienced one of the highest tourism growth rates in the world, which in turn has driven extensive land-use and land-cover change. The aim of this research is to develop a sensor nodes positioning strategy for detecting land use related dynamics of vegetation carbon stocks of Wulong world natural heritage. Based on the assessment of road networks’ influences on biomass carbon stocks, roadside biomass carbon stocks risk index was proposed as a sensor deployment strategy to identify the optimal positions of the sensors to detect the changes in vegetation carbon stocks. Forest and cropland around the lower levels of roads should be the most important region of sensor nodes deployment strategy. The results generated from this study have the ability to achieve optimal solution of spatial positioning problem with minimum number of sensors in biomass carbon monitoring sensor networks. This analysis appears to have great potential for a wide range of practical applications in tourism industry in China.

Highlights

There is a wide recognition of the urgent need for international governments and industries to reduce and mitigate carbon emissions [1]
We present roadside biomass carbon stocks risk index as a sensor deployment strategy to identify the optimal positions of the sensors to detect the changes in vegetation carbon stocks
The impact of roads on land use stability was quantitatively calculated through overlay analysis and buffer analysis based on ArcGIS platform

Summary

Introduction

There is a wide recognition of the urgent need for international governments and industries to reduce and mitigate carbon emissions [1]. Land use change is the second largest contributor of total anthropogenic carbon emissions after the use of fossil fuel [2]. Road networks are recognized as the most pervasive vectors to landscape change [3]. There was nearly 500,000 km of land which could be occupied for traffic infrastructure, such as highways, airport, parking sites, and ports [4]. With the explosive growth rates of tourism industry, there follows an inevitable increase in land use. It is important to monitor and assess the effects of land cover changes on sequestrations and losses to the carbon stocks of a tourism destination

Objectives

Methods

Results

Conclusion