CAJ | 학술논문

通过研究淮南潘集杨庄采煤塌陷积水区水体水质指标与环境一号卫星影像4个波段反射率值之间的关系，针对叶绿素、透明度、总磷、总氮、高锰酸钾指数5项主要水质参数建立了遥感监测模型。采用综合营养状态指数法，评价了该地区水体整体水质富营养化程度。评价结果表明，该塌陷积水区水体为轻度-中度富营养化，与实测水样分析监测的结果基本吻合，证明了水质遥感模型反演技术在当地水质监测中的适用性和可靠性，为实现该地区水质动态监测与预警提供了技术支持。
통과연구회남반집양장채매탑함적수구수체수질지표여배경일호위성영상4개파단반사솔치지간적관계，침대협록소、투명도、총린、총담、고맹산갑지수5항주요수질삼수건립료요감감측모형。채용종합영양상태지수법，평개료해지구수체정체수질부영양화정도。평개결과표명，해탑함적수구수체위경도-중도부영양화，여실측수양분석감측적결과기본문합，증명료수질요감모형반연기술재당지수질감측중적괄용성화가고성，위실현해지구수질동태감측여예경제공료기술지지。
This paper takes Panji mining area of Huainan city as the study area to evaluate the water quality based on HJ-1 imaging data. We first had establish relationship between water quality indicators of Yangzhuang wa-ter-accumulating area collapsed due to coal mining and the HJ-1/CCD data. And then we created remote sensing monitoring models aiming at Chl、SD、TP、TN and CODMn separately. Comprehensive nutrition state index method was adopted to evaluate the water quality of the study area. The results show that the study area is of light-middle eu-trophication, which is accorded with the monitoring results of in-situ measurements. This research work demonstrates that the monitoring models that we established for the study area is reliable and could provide impo rtant technical support to realize the dynamic monitoring of water quality by remote sensing and early warning in the future.