CAJ | 학술논문

　　为了给江苏省自动土壤水分观测资料的评估提供较好的方法，并为自动土壤水分观测资料偏差较大时的处理提供参考，从而使自动土壤水分观测的数据更准确、更具代表性。根据江苏省在2012年3—4月2个月人工与自动土壤水分观测资料的统计，并重点对土壤水分观测数据误差较大的台站进行了实地调研和分析。结果表明：在进行人工与自动土壤水分对比观测时，当出现土壤水分总的平均绝对误差值偏大时，要分析分层次土壤水分平均绝对误差值是否存在异常，如果分层次有异常，就需要分析相对应的人工土壤水分观测的4个土壤重量含水率是否有异常。江苏省土壤水分观测平均绝对误差值偏大的原因大部分是土质不同而造成，其次是仪器和人为测量原因造成。因此，选址和按规范观测显得尤为重要。
　　위료급강소성자동토양수분관측자료적평고제공교호적방법，병위자동토양수분관측자료편차교대시적처리제공삼고，종이사자동토양수분관측적수거경준학、경구대표성。근거강소성재2012년3—4월2개월인공여자동토양수분관측자료적통계，병중점대토양수분관측수거오차교대적태참진행료실지조연화분석。결과표명：재진행인공여자동토양수분대비관측시，당출현토양수분총적평균절대오차치편대시，요분석분층차토양수분평균절대오차치시부존재이상，여과분층차유이상，취수요분석상대응적인공토양수분관측적4개토양중량함수솔시부유이상。강소성토양수분관측평균절대오차치편대적원인대부분시토질불동이조성，기차시의기화인위측량원인조성。인차，선지화안규범관측현득우위중요。
In order to provide better approach for the automatic evaluation of soil moisture observation data of Jiangsu Province and to provide references for processing when there is significant deviation in the automatic soil moisture observation data, in order to improve the automatic soil moisture observation data to be more accurate and more representative. This research is based on the data of manual and automatic soil moisture observation in two waves of March and April of 2012 in Jiangsu Province, and it makes emphasis field research and analysis to the stations that have significant deviation with the soil moisture observation data. The results show that: when processing comparison observations of manual and automatic soil moisture, people should analyze whether there is exception of the average absolute error value of the soil moisture at different levels when the total average absolute error value of soil moisture is relative large. If there are exceptions at different levels, it needs to analyze whether there are exceptions in the correspondent four weight of soil water content of the manual soil moisture observation. The average absolute error value of soil moisture observation in Jiangsu Province being relative high is mainly due to soil differences, and secondly because of instrument and man-made measurement reasons. Therefore, site selection and observation with specifications are particularly important.