CAJ | 학술논문

随着经济的快速发展，我国的生态环境面临着越来越大的压力，对生态环境的监测和预警是维护绿色生态环境可持续发展的重要措施。获得最为理想的生态环境数据是开展生态监测和预警的前提，而合理的采样点选择是生态环境监测中一个重要环节。本文介绍了一种对采样点进行优选的方法，首先利用数据预处理技术对初始环境监测数据进行处理，之后利用基于改进凝聚层次聚类算法对环境监测数据进行聚类，最后选出距离聚类中心最近的采样点作为优选采样点。整个处理技术简单有效，对于中小规模的生态环境监测采样点的优选具有现实意义。
수착경제적쾌속발전，아국적생태배경면림착월래월대적압력，대생태배경적감측화예경시유호록색생태배경가지속발전적중요조시。획득최위이상적생태배경수거시개전생태감측화예경적전제，이합리적채양점선택시생태배경감측중일개중요배절。본문개소료일충대채양점진행우선적방법，수선이용수거예처리기술대초시배경감측수거진행처리，지후이용기우개진응취층차취류산법대배경감측수거진행취류，최후선출거리취류중심최근적채양점작위우선채양점。정개처리기술간단유효，대우중소규모적생태배경감측채양점적우선구유현실의의。
With the rapid development of economy in our country, ecological environment is becoming more and more stressful. Environmental monitoring and early warning on the environment are important aspects to maintain the ecological green and sustainable development. In order to get the most optimal ecological environment data under limited conditions, we should carry out a reasonable selection of a preferred sampling point. Therefore, the selection of a preferred environmental monitoring sampling point is an important part of ecological environmental monitoring. Initial environment monitored data is processed first by using a series of data preprocessing techniques. Therefore, environment monitored data is clustered by using a clustering algorithm based on improved agglomerative hierarchy. Finally, a sampling point closest to the cluster center is selected as a preferred sampling point. The whole process is simple and effective and has a realistic significance for selecting a preferred sampling point during a small and medium scale ecological environment monitoring.