Resources Science ›› 2016, Vol. 38 ›› Issue (7): 1275-1286.doi: 10.18402/resci.2016.07.09

• Orginal Article • Previous Articles     Next Articles

Soil quality assessment of the Yellow River Delta based on MDS and Fuzzy Logic Model

WU Chunsheng1,2(), LIU Gaohuan1, HUANG Chong1,3, LIU Qingsheng1(), GUAN Xudong1,2   

  1. 1. State Key Lab. of Resources and Environment Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
    2. University of Chinese Academy of Sciences,Beijing 100049,China
    3. Key Laboratory of Ecosystem Network Obervation and Modeling, Institute of Geographic Sciences and Natural Resource Research,Chinese Academy of Sciences,Beijing 100101,China
  • Received:2015-12-16 Revised:2016-03-24 Online:2016-07-25 Published:2016-07-25

Abstract:

The Yellow River Delta has abundant land resources,however,because of long-term exposure to harsh natural conditions and improper human activity,the soil has degenerated and affected agricultural development and ecological protection. This study selected multiple physical and chemical indicators and principal component analysis to construct a minimum data set to determine indicators for soil quality assessment in the Yellow River Delta. Fuzzy Logic Model was used to finish the soil quality assessment and we analyzed the spatial distribution of main land use types across different soil quality grades. The results show that the minimum data set include six soil indices:TN,AP,AK,soil organic matter,all salt and pH. The assessment result maps for soil index values all showed spatial distribution regularities,soil salt content reduced gradually from coasts to inland,and TN and AP had the opposite characteristics. AK and pH showed an even distribution around the study area and soil organic matter content was high in the central area and reduced gradually to the edges. The soil quality value was higher in inland than coastal areas,most of the study area was of a level 3 grade according to the classifications of integrated fertility indexes for fluvo-aquic soils in China. Most farmland,forest and garden had high-class soil,but some were still distributed among level 5 or level 6 and lots of unused land had high soil levels,indicating that land resources in the study area have not been planned appropriately.

Key words: minimum data set, soil quality, Fuzzy Logic Model, Yellow River Delta