CAJ | 학술논문

研究目的:分析南方丘陵区土壤有机质的采样点密度和空间插值模型对农用地分等精度的影响.研究方法:以福建龙海市为研究区,对设计的8种格网密度和6种结合不同类型信息的插值模型所得农用地分等结果进行比较研究.研究结果:(1)结合不同类型信息的克里格空间插值模型对于土壤有机质含量及农用地分等成果(自然质量等)具有显著差异,土壤有机质含量和农用地分等成果的精度与格网密度呈正相关.其中结合地貌和土壤信息的空间插值方法(KDMTR)对于农用地分等成果有最好的预测效果;(2)如果仅需考虑获取较高精度的土壤有机质含量信息时,按2 km×2 km的样点密度并结合KDMTR法进行空间插值,为最高效的样点布设和数据处理方式;(3)在开展县级农用地分等时,如果仅需考虑获取农用地分等结果时,土壤采样点密度对农用地分等精度影响较小,但结合不同类型信息的空间插值方法对农用地分等成果精度影响显著.采用KDMTR法并按3.5 km×3.5 km的格网密度布设土壤调查样点,为最高效的样点布设和空间插值模型.研究结论:南方丘陵区在开展县级农用地分等工作时,采用的空间插值模型对农用地分等成果的精度产生显著影响而土壤采样点布设的格网密度对农用地分等成果的精度影响较小.
연구목적:분석남방구릉구토양유궤질적채양점밀도화공간삽치모형대농용지분등정도적영향.연구방법:이복건룡해시위연구구,대설계적8충격망밀도화6충결합불동류형신식적삽치모형소득농용지분등결과진행비교연구.연구결과:(1)결합불동류형신식적극리격공간삽치모형대우토양유궤질함량급농용지분등성과(자연질량등)구유현저차이,토양유궤질함량화농용지분등성과적정도여격망밀도정정상관.기중결합지모화토양신식적공간삽치방법(KDMTR)대우농용지분등성과유최호적예측효과;(2)여과부수고필획취교고정도적토양유궤질함량신식시,안2 km×2 km적양점밀도병결합KDMTR법진행공간삽치,위최고효적양점포설화수거처리방식;(3)재개전현급농용지분등시,여과부수고필획취농용지분등결과시,토양채양점밀도대농용지분등정도영향교소,단결합불동류형신식적공간삽치방법대농용지분등성과정도영향현저.채용KDMTR법병안3.5 km×3.5 km적격망밀도포설토양조사양점,위최고효적양점포설화공간삽치모형.연구결론:남방구릉구재개전현급농용지분등공작시,채용적공간삽치모형대농용지분등성과적정도산생현저영향이토양채양점포설적격망밀도대농용지분등성과적정도영향교소.
The purpose of this paper is to research spatial interpolation model and sampling density's effects onquality evaluation accuracy in hilly region of south China. The paper compares different evaluation results according to eight kinds of grid density based on grid sampling of soil organic matter and six classification methods in Longhai City of Fujian Province. The results show that: 1)Combination of different information of kriging interpolation models have significant differences on soil organic matter and the result of farmland classification(natural quality), soil organic matter and the result of farmland classification show positively correlated with grid density of soil sample. Spatial interpolation method which combined with topography and soil information(KDMTR)has the best prediction for farmland quality evaluation. 2)If accurate information of soil organic matter content should be in consideration, the efficient sampling point layout is grid sampling based on the topography and soil types, and the best grid size is about 2 km×2 km. 3)If only farmland quality evaluation result at the county level should be in consideration, the density of soil sampling points has small effects on the accuracy of farmland quality evaluation result, but the combination of different information space interpolation method has significant effects on the accuracy of farmland quality evaluation result. The best spatial interpolation model is Kriging interpolation based on the topography and soil types and the most efficient sampling point layout is grid sampling with grid size of 3.5 km×3.5 km. The paper concludes that obviously effect can be noticed by spatial interpolation model to evaluate farmland quality, yet the density of sampling has small effect at the county level in hilly region of south China.