对湿地水环境监测技术的研究现状与进展进行了概述。
The current states and progress of wetland water environment monitoring technology are outlined.
结果表明：BP网络用于地下水环境监测点优选具有简单、实用和客观性好的特点。
The results of this optimal methods shows that it has simplicity, practicability and objectivity for BP network to optimize groundwater (quality) monitoring sites.
目前，遥感监测能有效解决水环境监测的大范围性、连续性、动态性以及高效性等技术问题。
Now, the remote sensing monitoring method can solve some technical problem of water environment, such as large range, consecution, dynamic and efficiency.
顺利完成了全年所承担项目的监测工作，并一次性通过了长江流域水环境监测中心的盲样考核。
Successfully completed the all-year work I was in ged with, and smoothly passed the assessment of unknown sample which was conducted by the Yangtze Water Environment Monitoring Center.
水遥感技术广泛用于水旱灾害动态监测、洪灾损失评估、水资源监测、水环境监测等研究领域。
Water remote sensing technology is widely used in dynamic monitoring of flood, drought, water resources, water environment, etc.
首先结合我国水环境监测技术规范与标准，合理地选择监测项目与监测仪器，建立水质监测系统。
First we should choose reasonable monitoring items and monitoring instruments to set up the water quality monitoring system according to our country's water environment monitoring technical standard.
分析了大同盆地浅层地下水受污染原因，建议该地区必须控制污染源，同时建立和完善水环境监测体系。
At last, this paper puts forward some proposes that, in the area, the pollution source must be controlled and, at the same time, a perfect water environment inspecting system must be set up.
快速准确地测定水中矿物油的种类及含量，正确判断油污染的性质和来源，对于实施水环境监测管理及污染防治具有重要意义。
Identifying the species of mineral oil in water and measuring its concentration are needed to determine the contamination oil source and evaluating pollution fast and correctly.
本文针对湿地水流较为平缓的特点，提出一种适用于湿地水环境监测、基于表面均匀配置的三维水下无线传感器网络覆盖控制方法。
This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network(WSN) nodes location based on Free Search(FS) to improve the precision in location estimation.
本文针对湿地水流较为平缓的特点，提出一种适用于湿地水环境监测、基于表面均匀配置的三维水下无线传感器网络覆盖控制方法。
This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network(WSN) nodes location based on Free Search(FS) to improve the precision in location estimation.
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