土壤学报
土壤學報
토양학보
ACTA PEDOLOGICA SINICA
2010年
1期
26-32
,共7页
廖凯华%徐绍辉%程桂福%林青
廖凱華%徐紹輝%程桂福%林青
료개화%서소휘%정계복%림청
大沽河流域%土壤%阳离子交换量%空间变异%影响因子
大沽河流域%土壤%暘離子交換量%空間變異%影響因子
대고하류역%토양%양리자교환량%공간변이%영향인자
Dagu River Basin%Soil%CEC%Spatial variation%Influencing factors
运用地统计和多元回归分析方法,探讨大沽河流域土壤阳离子交换量(CEC)的空间变异和影响因子.结果表明,上下层土壤CEC与有机质、黏粒和粉粒含量有着显著的正相关,而与砂粒含量则存在显著的负相关,其中与黏粒含量的相关系数最大,与粉粒含量的相关性最弱;对CEC的贡献能力依次为黏粒>有机质>砂粒, 黏粒的贡献能力平均为有机质的1.5~2.5倍;以黏粒为辅助变量的Cokriging(COK)较之Ordinary Kriging(OK)能提高插值精度,上下层均方根误差RMSE值分别减少了18.94%和41.05%,辅助变量与主变量的相关程度决定了估值的精度;大沽河流域中东、西北部及西南方向中部地区土壤CEC较高,而北部与西南角局部地区土壤CEC保肥能力非常弱,是以后土壤改良的重点地区,可通过增施有机肥以及改土培肥等措施来提高土壤肥力水平.
運用地統計和多元迴歸分析方法,探討大沽河流域土壤暘離子交換量(CEC)的空間變異和影響因子.結果錶明,上下層土壤CEC與有機質、黏粒和粉粒含量有著顯著的正相關,而與砂粒含量則存在顯著的負相關,其中與黏粒含量的相關繫數最大,與粉粒含量的相關性最弱;對CEC的貢獻能力依次為黏粒>有機質>砂粒, 黏粒的貢獻能力平均為有機質的1.5~2.5倍;以黏粒為輔助變量的Cokriging(COK)較之Ordinary Kriging(OK)能提高插值精度,上下層均方根誤差RMSE值分彆減少瞭18.94%和41.05%,輔助變量與主變量的相關程度決定瞭估值的精度;大沽河流域中東、西北部及西南方嚮中部地區土壤CEC較高,而北部與西南角跼部地區土壤CEC保肥能力非常弱,是以後土壤改良的重點地區,可通過增施有機肥以及改土培肥等措施來提高土壤肥力水平.
운용지통계화다원회귀분석방법,탐토대고하류역토양양리자교환량(CEC)적공간변이화영향인자.결과표명,상하층토양CEC여유궤질、점립화분립함량유착현저적정상관,이여사립함량칙존재현저적부상관,기중여점립함량적상관계수최대,여분립함량적상관성최약;대CEC적공헌능력의차위점립>유궤질>사립, 점립적공헌능력평균위유궤질적1.5~2.5배;이점립위보조변량적Cokriging(COK)교지Ordinary Kriging(OK)능제고삽치정도,상하층균방근오차RMSE치분별감소료18.94%화41.05%,보조변량여주변량적상관정도결정료고치적정도;대고하류역중동、서북부급서남방향중부지구토양CEC교고,이북부여서남각국부지구토양CEC보비능력비상약,시이후토양개량적중점지구,가통과증시유궤비이급개토배비등조시래제고토양비력수평.
Spatial variation and influencing factors of CEC of the soil in the Dagu River Basin were studied with geostatistical and multiple regression analysis methods. Results show that CEC of the soil in the upper and under layers displayed significant positive correlations with organic matter, clay and silt, and significant negative correlation with sand. The correlation coefficient was the biggest between CEC and clay, and the smallest between CEC and silt. In terms of contribution of the factors to CEC, they were in the order of clay > organic matter > sand, and the mean contribution of clay was 1.5~2.5 times as much as that of organic matter. The cokriging method, which used clay as instrumental variable, produced more accurate results than the ordinary kriging method, and reduced RMSE of the soils in the upper and under layers by 18.94% and 41.05%, respectively. Furthermore, the relationship between the secondary and the primary variables governed accuracy of the estimation. Soil CECs were higher in the middle east, northwest and middle southwest of the Dagu River Basin, but much lower in the north and southwest tip. Hence the two regions are critical ones for soil amelioration. The soil fertility therein can be improved by increasing application of organic manure and adopting other soil building practices.