One of the most innovative approaches for maintaining and rehabilitating the Seoul pavement is to develop and implement the maintenance of pavement under the pavement management system (PMS). This paper documents result of the survey on PMS used in Seoul. This model is uses the theory to survey the condition of the pavement ,An index called the Distress Manifesto Index (DMI) is define as used to measure the pavement distress condition of the Seoul pavement. And there is Riding Condition Index (RCI) is to define the comfort of driver who is traveling on the Seoul pavement. Pavement condition index is defined as used to evaluate pavement condition. The cost effective PMS is possible only when maintenance requirement are identified at right time with realistic prediction of overall pavement condition. For Seoul, several survey are used in order to management decisions such as Pavement Serviceability Index (PSI), Surface Condition Ratting (SCR), and Pavement Condition Rating (PCR) etc. the goal of this paper is to evaluate the condition of pavement to facilitate a better understanding of the opportunities to augment the current framework while remaining consistent with the aims of moving ahead for progress in 21stcentury. This research is based on the performance of the asphalt concrete pavement data of Seoul Pavement. Pavement are divided into three classes Class 1 consist of 10-7 SPI result data ,that the pavement is in good condition. Class 2 consist of 6.99-4.0 SPI result data , that the pavement is in average condition. Class 3 consist of 3.99-0.00 PCI result data, that the pavement is in bad condition and need to repair immediately. the performance data is from Dongsomoonlo(28) it consist of Rutting ,Cracking, and IRI data.

본 연구에서는 우리나라 가뭄의 공간적인 특성을 파악하고 가뭄의 진행에 따른 피해규모를 산정하기 위하여 가뭄 심도-영향면적-생기빈도 곡선을 작성하여 제시하였다. 이를 위하여 전국의 기상관측소 지점별로 SPI를 산정하였으며, 산정된 지점별 SPI 자료를 이용하여 EOF 분석을 실시하였다. EOF 분석으로부터 추출된 핵심 공간패턴자료들은 다시 공간적으로는 Kriging 기법을 이용하여 보다 세밀한 공간정보를 갖는 자료로 확장되었으며, ARMA 모형을 이용하여