Land use change on climate parameters at Samin subwatershed in Central Java, Indonesia

International Conference on Climate Change: Challenges and Opportunity on Environment Degradation Researches

地球科学;生态环境科学

Sutarno^1 ; Komariah^3 ; Gunawan, T.^2 ; Purnomo, D.^3 ; Suntoro^3

Doctoral Program in Environmental Science, Graduate School, Universitas Sebelas Maret, Jl. Ir. Sutami No.36A, Kentingan, Surakarta

57126, Indonesia^1

Faculty of Geography, Gadjah Mada University, Bulaksumur, Depok, Sleman, Yogyakarta

55281, Indonesia^2

Faculty of Agriculture, Universitas Sebelas Maret, Surakarta, Indonesia^3

关键词: Air temperature;    Climate parameters;    Conservation areas;    Industrial estate;    Land use/land cover change;    Non-agricultural lands;    Relative air humidities;    Weather stations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/129/1/012032/pdf
DOI  :  10.1088/1755-1315/129/1/012032

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The Samin sub-watershed (SSW) is one of the critical watersheds in Indonesia which need conservation. The identification of land-use/land-cover changes (LUCC) can help in deciding the priority of conservation areas as well as limiting the widespread of critical lands in the watershed, which can contribute to climate change. The purpose of this study is to determine the impact of land use change on climate parameters, i.e. precipitation, air temperature and relative air humidity. The method is by using the descriptive explorative. The study employed Indonesian topographic map and Landsat's imageries of 1996, 2001, 2006, 2011 and 2016. The climate data from 1996 to 2016 were obtained from surroundings weather station. Data were analyzed using Geographic Information System (GIS) and SPSS. The results showed that land use was dominated by rice fields 22,552.83 ha (69.20%), and converted to non-agricultural lands 165.05 hectares/year for the last 20 years. Forest area decreased 65.8 ha/year, and settlement (housing and industrial estates) increased 253.87 ha/year (11.07%). The statistical analysis resulted in a negative relationship between forest area and air temperature and, but no significant correlation with rainfall.