深色變性土 的英文怎麼說
中文拼音 [shēnshǎibiànxìngtǔ]
深色變性土
英文
chromic vertisols-
Under the direction of chinese soil taxonomy, part purple soils developed on the purplish standstones of j2 # j3 in sichuan basin were systematically studiedaccording to natural landscape, profile modality and quick - test, applying to methods statistic analysis and system integration, main affecting factors, indexs of soil series taxonomy and retrieval orders were systematically discussed. the results showed : 1 ) organic substance, total nityogen, total phosphate, total potassium and particle size composition were distinctly related with many soil characters. organic substance, calcium carbonate, available phosphate # size composition were much different in all swatches. besides, soil structure and the depth had profound affection to it. 2 ) affecting factors : soil structure, texture style and organic substance phosphorous
本文以土壤系統分類理論為指導，以四川盆地侏羅系蓬萊鎮組、沙溪廟組和遂寧組紫色巖上發育形成的部分紫色土為研究對象，利用spss統計軟體相關功能，結合供試土壤的自然景觀、剖面形態和室內測定的理化性質，對土系分化的影響因子、土系劃分指標和檢索順序進行了系統的探討，結論如下： （ 1 ） 、供試紫色土中有機質、全氮、全磷、全鉀和顆粒組成與多個土壤性質均呈顯著或極顯著相關；有機質、碳酸鈣、有效磷、顆粒組成等性質在供試土壤方差分析中變異系數均較大；土體構型及土體的深度對土壤性質也有深刻影響。This paper mainly carries on research into quantity, degree and depth of luc, and landscape change degree in different economic zones of chongqing, comparative study of human driving forces causing different luc from qualitative and quantitative respects in different economic zones of chongqing, further investigation with cultivated land change and construction land change and driving force through analyzing proper human driving forces using principal components " analysis, multi - linear regression model, stepwise regression model, quantitative prediction of cultivated land and construction land in the following 10 years in the sample areas with the help of grey trend prediction model such as gm ( 1, 1 )
本研究主要進行了不同經濟區土地利用變化數量、變化程度（速度、速率） 、深度以及景觀變化差異研究；從定性和定量兩個方面對引起不同經濟區樣點土地利用變化差異的人類驅動力進行對比性研究；通過選取適當的人類驅動力因子，利用主成分分析法、多元線回歸模型、逐步回歸分析法對人類驅動力所引起的不同經濟區的耕地、建設用地的土地利用變化進行深入研究；利用灰色動態預測模型gm （ 1 ， 1 ）對未來10年內樣點區耕地、建設用地變化進行預測性研究。
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