A Study of the Spatial Difference of the Soil Quality of The Mun River Basin during the Rainy Season

Chunsheng Wu, Qingsheng Liu, Guoxia Ma, Gaohuan Liu, Fang Yu, Chong Huang, Zhonghe Zhao and Li Liang
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Chunsheng Wu: The Center for Eco-Environmental Accounting, Chinese Academy for Environmental Planning, Beijing 100012, China
Qingsheng Liu: State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Guoxia Ma: The Center for Eco-Environmental Accounting, Chinese Academy for Environmental Planning, Beijing 100012, China
Gaohuan Liu: State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Fang Yu: The Center for Eco-Environmental Accounting, Chinese Academy for Environmental Planning, Beijing 100012, China
Chong Huang: State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Zhonghe Zhao: State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Li Liang: State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Sustainability, 2019, vol. 11, issue 12, 1-14

Abstract: The Mun River basin is one of the main grain-producing areas of Thailand, and the rainy season is the main period for crop planting after being idle during the dry season. However, the soil conditions are variable, so an assessment of soil quality during the rainy season is necessary for improving soil condition and crop production. The aim of this study was to conduct a soil quality assessment based on soil samples. To attain that, a minimum data set theory was used to screen evaluation indicators and geographically weighted regression was performed to obtain spatial interpolations of indicators, while the fuzzy logic model was used to determine the soil quality results. The results showed that the contents of indicators had similar spatial trends as their contents declined from the western to the eastern region of the basin. The soil quality results showed that the poor soil was in the middle of the basin, where the main land use is paddy fields, and the good soil was in the southwest of the basin, where forests and dry fields are widely distributed. The results indicated that the soil quality in the Mun River basin varied greatly, especially for farmland, so these findings will be helpful for improving soil conditions and grain production in the Mun River basin.

Keywords: Thailand; soil quality; geographically weighted regression model; fuzzy logic model; rainy season (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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