Total views : 133

Assessment and Mapping of Urban Heat Island using Field Data in the New Capital Region of Andhra Pradesh, India

Affiliations

  • Department of Civil Engineering, JNT University, Kakinada − 533003, Andhra Pradesh, India
  • AP Public Service Commission, Prathibha Bhavan, Hyderabad − 500103, Andhra Pradesh, India

Abstract


Objectives: To assess and map Urban Heat Island (UHI) and its intensity using field-based measurement of Land Surface Temperature (LST) in the newly formed capital region of Andhra Pradesh. Methods/Statistical Analysis: UHI development is one of the several consequences of urban sprawl and land use changes causing several environmental impacts on the urban dwellers. Assessment through field-based measurement of LST provides an instant and accurate insight into the extent and intensity of UHI. New capital region of Andhra Pradesh is having a lot of potential for urban sprawl because of the developmental activities proposed and hence taken as the case study. Using Infrared thermometer, LST was measured at 212 locations in the capital region, and corresponding locations were identified using latitudes and longitudes obtained from a hand-held GPS. LST measurements were made between 11 a.m. to 02 p.m. during the month of May, 2016. The latitude, longitude and LST data were used to develop map showing the UHI phenomenon using Arc GIS. Inverse Distance Weighted method, an interpolation algorithm available with spatial analyst module of Arc GIS, is used to develop a map showing the spatial variation of LST. Findings: From the output, it is clearly understood that UHI occurs mainly in the Vijayawada and Guntur cities. The max and min temperatures of LST measured in the study area are 50.49oC and 25.43oC respectively. UHI spreads to about 16708 hectares in Vijayawada and 25057 hectares in Guntur. Applications/Improvements: Field measured data-based analysis gives an accurate picture of the UHI in the study area. It was also found that low temperatures were recorded in areas with dense vegetation. Urban greening is the only method to reduce the UHI phenomenon and to mitigate the impacts.

Keywords

Capital Region, Field Measurement, GIS, GPS, IR Thermometer, Land Surface Temperature, Urban Heat Island

Full Text:

 |  (PDF views: 128)

References


  • Sarvestani MS, Ibrahim ABL, Kanaroglou P. Three Decades of Urban Growth in the City of Shiraz, Iran: A Remote Sensing and Geographic Information Systems Application, Cities. 2011; 28(4):320–29. Crossref
  • Abubakr AA, Alsharif Pradhan B. Urban Sprawl Analysis of Tripoli Metropolitan City (Libya) Using Remote Sensing Data and Multivariate Logistic Regression Model, Indian Society of Remote Sensing. 2014; 42(1):149–63. Crossref
  • Gandhi SR, Shashikant A. Sharma, Anjana Vyas. Urban Growth Analysis using Shannon Entropy- A Case Study of Rajkot City, Journal of Geomatics. 2015; 9(1):72−76.
  • Bassam Saleh, Samih Al Rawashdeh. Study of Urban Expansion in Jordanian Cities using GIS and Remote Sensing, International Journal of Applied Science and Engineering. 2007; 5(1):41−52.
  • Sudhira HS, Ramachandra TV, Jagadish KS. Urban Sprawl: Metrics, Dynamics and Modelling using GIS, International Journal of Applied Earth Observation and Geoinformation.2004; 5:29–39. Crossref
  • Alkan M, Oruc M, Yildirim Y, Seker DZ, Jacobsen K.Monitoring Spatial and Temporal Land Use/Cover Changes: A Case Study in Western Black Sea Region of Turkey, Indian Society of Remote Sensing. 2013; 41(3):587– 96. Crossref
  • Md. Surabuddin Mondal, Nayan Sharma, Martin Kappas 1, Garg PK. Critical Assessment of Land use Land Cover Dynamics using Multi-Temporal Satellite Images, Environments. 2015; 2:61−90. Crossref
  • Hayder Abd Al-Razzaq Abd, Husam Abdulrasool Alnajjar.Maximum Likelihood for Land-Use/Land-Cover Mapping and Change Detection Using Landsat Satellite Images: A Case Study "South of Johor", International Journal of Computational Engineering Research. 2013; 3(6):26−33.
  • Fei Yuan, Sawaya KE, Brian C. Loeffelholz, Marvin E Bauer.Land Cover Classification and Change Analysis of the Twin Cities (Minnesota) Metropolitan Area by Multi-Temporal Landsat Remote Sensing, Remote Sensing of Environment.2005; 98:317–28. Crossref
  • Satiprasad S. Monitoring Urban Land use Land Cover Change by Multi-Temporal Remote Sensing Information in Howrah City, India, International Research Journal of Earth Sciences. 2013; 1(5):1−6.
  • Yu X, Guo X, Wu Z. Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithmand Single Channel Method, Remote Sens. 2014; 6:9829−52.Crossref
  • Li Z, Tang B, Wu H, Huazhong Ren, Guangjian Yan, Zhengming Wan, Isabel F. Trigo, Sobrino JA. SatelliteDerived Land Surface Temperature: Current Status and Perspectives, Remote Sensing of Environment. 2013; 131:14–37. Crossref
  • Amirtham LR. Urbanization and its Impact on Urban Heat Island Intensity in Chennai Metropolitan Area, India, Indian Journal of Science and Technology. February 2016; 9(5):1−8.
  • Crossref
  • Kim HM, Zhou Y, Wang T. Measuring Ground-Level Urban Temperature: A Case Study of Suzhou, China, Indian Journal of Science and Technology. April 2015; 8(8):607−13.Crossref
  • Kalaiarasan A. A Study on Passive Sustainable Techniques (PST) in Urban Landscape, Indian Journal of Science and Technology. February 2016; 9(6):1−7. Crossref
  • Horrison E, Amirtham LR, Role of Built Environment on Factors Affecting Outdoor Thermal Comfort - A Case of T. Nagar, Chennai, India, Indian Journal of Science and Technology. February 2016; 9(5):1−4.Crossref
  • Sobrino JA, Juan C, Jimenez-Munoz, Leonardo Paolini.Land Surface Temperature Retrieval from LANDSAT TM 5, Remote Sensing of Environment. 2004; 90:434–40.Crossref
  • Weng Q, Lu D, Schubring J. Estimation of Land Surface Temperature–Vegetation Abundance Relationship for Urban Heat Island Studies, Remote Sensing of Environment.2004; 89:467–83. Crossref
  • Fang W, QuanSheng G. Estimation of Urbanization Bias in Observed Surface Temperature Change in China from 1980 to 2009 using Satellite Land-Use Data, China, Chinese Science Bulletin. 2012; 57:1708−15. Crossref
  • Lee TW, Lee JY, Wang Z. Scaling of the Urban Heat Island Intensity using Time-Dependent Energy Balance, Urban Climate. 2012; 2: 16–24. Crossref
  • Li J, Conghe Song, Cao L, Zhu F, Xianlei Meng, Wu J. Impacts of Landscape Structure on Surface Urban Heat Islands: A Case Study of Shanghai, China, Remote Sensing of Environment. 2011; 115:3249–63. Crossref
  • Kolokotsa D, Psomas A, Karapidakis E. Urban Heat Island in Southern Europe: The Case Study of Hania, Crete, Solar Energy. 2009; 83:1871–83. Crossref
  • Jusuf SK, Wong NH, Hagen E, Roni Anggoro, Yan Hong.The Influence of Land use on the Urban Heat Island in Singapore, Habitat International. 2007; 31:232–42. Crossref
  • Ukwattage NL, Dayawansa NDK. Urban Heat Islands and the Energy Demand: An Analysis for Colombo City of Sri Lanka Using Thermal Remote Sensing Data, International Journal of Remote Sensing and GIS. 2012; 124−31.
  • AstrOm DO, Bertil Forsberg, Joacim RocklOv. Heat Wave Impact on Morbidity and Mortality in the Elderly Population: A Review of Recent Studies, Maturitas. 2011; 69:99–105. Crossref
  • Daniel P. Johnson, Jeffrey S. Wilson. The Socio-Spatial Dynamics of Extreme Urban Heat Events: The Case of Heat-Related Deaths in Philadelphia, Applied Geography.
  • ; 29:419–34. Crossref
  • Xu H, Chen Y, Dan S, Qiu W. Dynamical Monitoring and Evaluation Methods to Urban Heat Island Effects Based on RS&GIS, Procedia Environmental Sciences. 2011; 10:1228−37. Crossref
  • Aakriti Grover, Ram Babu Singh. Analysis of Urban Heat Island (UHI) in Relation to Normalized Difference Vegetation Index (NDVI): A Comparative Study of Delhi and Mumbai, Environments. 2015; 2:125−38. Crossref 30. Tran Hung, Daisuke Uchihama, Shiro Ochi, Yoshifumi Yasuoka. Assessment with Satellite Data of the Urban Heat Island Effects in Asian Mega Cities, International Journal of Applied Earth Observation and Geoinformation. 2006; 8:34–48. Crossref
  • Parham A. Mirzaei, Haghighat F. Approaches to Study Urban Heat Island –Abilities and Limitations, Building and Environment. 2010; 45:2192−201. Crossref
  • Rigo G, Parlow E, David Oesch. Validation of Satellite Observed Thermal Emission with In-Situ Measurements Over an Urban Surface, Remote Sensing of Environment. 2006; 104:201–10. Crossref

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.