Next Article in Journal
Clathrate Hydrates for Thermal Energy Storage in Buildings: Overview of Proper Hydrate-Forming Compounds
Next Article in Special Issue
Sustainable Development Mechanism of Food Culture’s Translocal Production Based on Authenticity
Previous Article in Journal
Ecotourism Environmental Protection Measures and Their Effects on Protected Areas in China
Previous Article in Special Issue
Urban Land Pattern Impacts on Floods in a New District of China
Article Menu

Export Article

Open AccessArticle
Sustainability 2014, 6(10), 6799-6814; doi:10.3390/su6106799

Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD Model

1,* , 2,†
,
2,†
and
1,3
1
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, No. 73 East Beijing Road, Nanjing 210008, China
2
School of Earth Sciences and Engineering, Hohai University, No. 1 Xikang Road, Nanjing 210098, China
3
University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 10 July 2014 / Revised: 18 September 2014 / Accepted: 22 September 2014 / Published: 30 September 2014
(This article belongs to the Special Issue Landscape and Sustainability)
View Full-Text   |   Download PDF [3893 KB, uploaded 24 February 2015]   |  

Abstract

Understanding the link between greenspace patterns and land surface temperature is very important for mitigating the urban heat island (UHI) effect and is also useful for planners and decision-makers for providing a sustainable design for urban greenspace. Although coupling remote sensing data with a computational fluid dynamics (CFD) model has widely been used to examine interactions between UHI and greenspace patterns, the paper aims to examine the impact of five theoretical models of greenspace patterns on land surface temperature based on the improvement of the accuracy of CFD modeling by the combination of LiDAR data with remote sensing images to build a 3D urban model. The simulated results demonstrated that the zonal pattern always had the obvious cooling effects when there are no large buildings or terrain obstacles. For ambient environments, the building or terrain obstacles and the type of greenspace have the hugest influence on mitigating the UHI, but the greenspace area behaves as having the least cooling effect. A dotted greenspace pattern shows the best cooling effect in the central area or residential district within a city, while a radial and a wedge pattern may result in a “cold source” for the urban thermal environment. View Full-Text
Keywords: greenspace patterns; land surface temperature; urban heat island (UHI); computational fluid dynamics (CFD) model; LiDAR data greenspace patterns; land surface temperature; urban heat island (UHI); computational fluid dynamics (CFD) model; LiDAR data
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Su, W.; Zhang, Y.; Yang, Y.; Ye, G. Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD Model. Sustainability 2014, 6, 6799-6814.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top