基于“源-汇”景观的典型半城市化小流域非点源污染风险评价
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国家重点研发计划课题(2016YFC0502902);中国科学院战略性先导科技专项(A类)(XDA23030105)


Risk assessment of non-point source pollution in a typical semi-urbanized small watershed based on source-sink landscape
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    摘要:

    小流域的水质恶化主要由点源污染和非点源污染引起,随着点源污染控制水平达到一定程度后,非点源污染已成为首要污染源。当前对非点源污染的管控仍存在难监测和难治理的问题,明晰非点源污染发生风险以及背后的原因是亟需解决的问题,因此开展非点源污染风险分析和评价具有重要意义。采用高分辨率影像解译了2010年、2015年和2020年三期厦门市后溪流域土地利用数据;基于"源-汇"景观格局方法计算研究区网格单元的网格污染指数(GPI);结合土地利用变化数据分析非点源污染风险的时空变异,对风险区成因进行了分析。研究结果表明:当前,"汇"景观占流域面积的67.86%,非点源污染发生风险分布呈现北低南高;十年中,非点源污染风险呈现上升趋势,目前非点源污染发生风险处于低风险水平(GPI=0.27)。通过分析风险区的土地利用构成发现耕地面积的缩减(减少67.08%)和建设用地面积扩张(增加43.02%)是污染风险发生变动的主要原因。计算了风险区转移矩阵,发现非点源污染发生风险区呈现出中高风险区向低风险区和"汇"景观区域转移的趋势。基于"源-汇"景观格局理论计算的网格污染指数(GPI)可以有效地对流域非点源污染风险值进行表征,是评价和分析流域非点源污染发生风险的可用方法。

    Abstract:

    The deterioration of water quality in small watershed is mainly caused by point source pollution and non-point source pollution. With the control level of point source pollution reaching a certain level, non-point source pollution has become the primary pollution source. At present, the control of non-point source pollution is still difficult to monitor and control. It is urgent to clarify the occurrence risk of non-point source pollution and the reasons behind it. Therefore, it is of great significance to conduct the risk analysis and evaluation of non-point source pollution. Land use data of Houxi Basin in Xiamen City in 2010, 2015 and 2020 were interpreted by high-resolution images. The grid pollution index (GPI) of grid units in the study area was calculated based on source-sink landscape pattern method. Combined with land use change data, the spatial and temporal variation of non-point source pollution risk was analyzed, and the causes of risk areas were analyzed. The results showed that sink landscape accounted for 67.86% of the Basin area, and the risk distribution of non-point source pollution was lower in the north and higher in the south. In the past decade, the risk of non-point source pollution showed an increasing trend, and the occurrence risk of non-point source pollution was at a low level (GPI=0.27). By analyzing the land use composition of the risk area, it was found that the decrease of the cultivated land area (67.08%) and the expansion of construction land area (43.02%) were the main reasons for the change of pollution risk. The risk area transfer matrix was calculated. It was found that the risk area of non-point source pollution presented a trend of transfer from the middle and high-risk area to the low-risk area and the sink landscape area. The grid pollution index (GPI) calculated based on the source-sink landscape pattern theory can effectively characterize the risk value of non-point source pollution in a watershed, and is a useful method to evaluate and analyze the occurrence risk of non-point source pollution in a watershed.

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余子贤,钱瑶,李家兵,李小梅,唐立娜.基于“源-汇”景观的典型半城市化小流域非点源污染风险评价.生态学报,2022,42(20):8276~8287

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