基于“源—汇”格局的山区流域面源污染评价与分区管理
[Abstract]:With the development of agricultural intensive management, the problem of non-point source pollution is becoming more and more serious, and the landscape pattern is closely related to the changes of non-point source pollution. Total nitrogen (TN), total phosphorus (TP), chemical oxygen demand (COD), ammonium nitrogen (NH4-N), electrical conductivity (EC) were measured and analyzed in 61 water samples collected in September and September. SPSS and GIS were used to analyze the spatial and temporal differences of water environmental quality in different sub-basins and tributaries. Based on the analysis of the relationship between landscape heterogeneity and non-point source pollution, the landscape spatial load contrast index reflecting ecological process was introduced, and the relationship between landscape spatial load contrast index and non-point source pollution was analyzed. The main river water quality indicators showed certain differences in different periods, TN exceeded the standard most seriously, far higher than the surface water V standard; the concentration of pollutants in different sections of the same river showed a certain spatio-temporal differences, from the comprehensive pollution index, the overall water quality of Qixia City is better, in the third category of standards and to the surface water V standard. The water quality of the main stream and its tributaries had no significant difference in May and September, and the mean values of various water quality indicators in May were larger than those of the tributaries, whereas in September, the tributaries were larger than those of the main stream. The ratio of land use area to non-point source pollution index has a certain correlation. Cultivated land, garden land, construction land and unused land have a certain positive correlation with non-point source pollution index, which is the main "source" landscape in the basin. There is a certain negative correlation between the indicators, which is the main "sink" landscape in the basin. The positive correlation between cultivated land and garden land and non-point source pollution indicators is greater, while the negative correlation between forest land and non-point source pollution indicators is greater. (3) Landscape pattern index and non-point source pollution indicators have a certain correlation, the correlation shows: landscape type, landscape shape. The more complex the shape is, the more easily the water is polluted. The dominant landscape in this area is sink landscape, and the greater the heterogeneity of landscape, the weaker the sink effect of dominant landscape forest land, and the stronger the role of source landscape of cultivated land and garden land. (4) The spatial load contrast index of source-sink landscape shows significant in the region. The spatial autocorrelation was significantly positively correlated with the water quality indexes, and TN, COD and conductivity were significantly correlated in both periods, which could be used as indicators of non-point source pollution. (5) The non-point source pollution zoning map was similar to the vertical ecological zoning map of Qixia. There is a southwest-northeast trend. The heavily polluted area is located in the hilly grain-fruit comprehensive utilization area in the southwest of China. The area is 1/7 of Qixia City. The potential polluted area is located in the low mountain forest protection area of Tingkou Town, Miaohou Town and Taocun Town. (6) Comparing the two zoning models, it can be found that they have the same distribution trend on the whole, but the data needed by the zoning based on landscape spatial load contrast index is far less than that based on multi-criteria analysis, which can provide a more convenient theoretical basis for non-point source pollution zoning and control. At the outlet of the river in the high LWLI area, we should strengthen the protection of the "sink" landscape type, increase the vegetation buffer zone, plant trees and grasses on the slopes, hinder the sediment and nutrient load carried by precipitation, and strengthen the protection of the water body.
【学位授予单位】:山东农业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:X52
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