辽河保护区土地利用方式对河流水质的影响

Effect of land use pattern on water quality in Liaohe Conservation Area

  • 摘要: 利用辽河保护区2018年的Landsat影像和水质数据,根据铁岭、沈阳、鞍山和盘锦市域范围将辽河保护区分为4个区段,采用模糊综合评价法对各区段河流水质的健康等级进行评价,同时运用Ecognition软件对遥感影像进行解译,最终对4个区段内土地利用变化与河流水质状况进行相关性分析。结果表明:辽河保护区不同区段中,鞍山段农业用地面积占比最大,水域面积占比最小;沈阳段林地、草地面积占比最大;辽河保护区各河段河流水体溶解氧(DO)浓度健康等级均为优秀,化学需氧量(COD)均为中等,总氮(TN)浓度均为病态,总磷(TP)浓度均为中等,氨氮(NH3-N)浓度在沈阳段为优秀,在其他河段则为良好;辽河保护区各土地利用类型面积占比与河流水质指标间相关性较好,其中河流水体NH3-N、TP、TN浓度和COD与林地、草地面积占比呈负相关,与农业用地和建设用地面积占比呈正相关;DO浓度与林地和草地面积占比呈正相关,与农业用地和建设用地面积占比呈负相关。

     

    Abstract: Using 2018 Landsat images and water quality data, Liaohe Conservation Area was divided into four study sections according to the urban areas of Tieling, Shenyang, Anshan and Panjin. The method of fuzzy comprehensive evaluation was used to evaluate the health status of river water quality in each section, then the Ecognition software was used to interpret remote sensing images, and finally the correlation between land use change and river water quality status in the four sections was analyzed. The results showed that Anshan Section had the largest agricultural land area proportion and the smallest water area proportion in different sections of Liaohe Conservation Area, while in Shenyang Section, the area proportion of woodland and grassland was the largest. In Liaohe Conservation Area, the health level of dissolved oxygen (DO) concentration was excellent, chemical oxygen demand (COD) was medium, total nitrogen (TN) concentration was ill, total phosphorus (TP) concentration was medium, ammonia nitrogen (NH3-N) concentration was excellent in Shenyang Section and good in other sections. There was a good correlation between the proportion of land use types in Liaohe Conservation Area and river water quality indexes, among which the concentrations of NH3-N, TP,TN and COD in river water were negatively correlated with the proportion of forest land and grassland, and positively correlated with the proportion of agricultural land and building land. DO concentration was positively correlated with the proportion of forestland and grassland, and negatively correlated with the proportion of agricultural land and building land.

     

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