• Journal of Natural Resources
  • Vol. 34, Issue 1, 128 (2019)
Yan-de JING1,2,* and Hua-mei ZHANG1,2
Author Affiliations
  • 1College of Geography and Tourism, Qufu Normal University, Rizhao 276826, Shandong, China
  • 2Key Laboratory of Nansi Lake Wetland Ecological and Environmental Protection in Universities of Shandong, Jining 273165, Shandong, China
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    DOI: 10.31497/zrzyxb.20190111 Cite this Article
    Yan-de JING, Hua-mei ZHANG. Risk assessment of non-point source pollution output in Nansihu Lake Basin based on LUCC[J]. Journal of Natural Resources, 2019, 34(1): 128 Copy Citation Text show less
    The land use of the Nansihu Lake Basin
    Fig. 1. The land use of the Nansihu Lake Basin
    Spatial distribution of TN pollution export risk degree in Nansihu Lake Basin
    Fig. 2. Spatial distribution of TN pollution export risk degree in Nansihu Lake Basin
    Spatial distribution of TP pollution export risk degree in Nansihu Lake Basin
    Fig. 3. Spatial distribution of TP pollution export risk degree in Nansihu Lake Basin
    Land use interpretation and simulation contrast of Nansihu Lake Basin in 2015
    Fig. 4. Land use interpretation and simulation contrast of Nansihu Lake Basin in 2015
    The simulation results of land use of Nansihu Lake Basin in 2020
    Fig. 5. The simulation results of land use of Nansihu Lake Basin in 2020
    Spatial distribution of non-point source pollution export risk degree in the region in 2020
    Fig. 6. Spatial distribution of non-point source pollution export risk degree in the region in 2020
    污染物土地利用类型/kg·(hm2·a)-1
    耕地林地草地水域城镇用地未利用地
    TN~11.5016.5615.0011.0014.90
    TP0.70.160.210.360.240.20
    Table 1. Export coefficients of Nansihu Lake Basin
    年份耕地面积
    /103 hm2
    氮肥使用量
    /折纯万t
    平均施肥量
    /kg hm-2
    径流损失
    /kg·(hm2·a)-1
    19902308.0036.25157.0723.56
    19952281.8840.35176.8326.53
    20002275.3143.80192.5128.88
    20052245.6046.02204.9330.74
    20102232.1644.76200.5130.08
    20152 213.7550.05226.0833.91
    Table 2. Export coefficients of cultivated land
    土地利用面积组成
    年份耕地林地草地水域城镇用地未利用地
    199072.762.595.413.6513.402.18
    199571.942.875.345.4813.920.45
    200071.732.595.415.2414.610.42
    200570.802.595.335.5315.310.43
    201070.371.764.195.5517.870.26
    201569.791.714.185.5418.520.26
    Table 3. Land use structure from 1990 to 2015 (%)
    土地利用
    类型
    实际土地利用结构模拟土地利用结构面积对比
    面积/km2占比/%面积/km2占比/%面积差/km2精度/%
    耕地22137.5469.7920997.9866.201139.5694.85
    林地541.251.71333.051.05208.2061.53
    草地1325.964.18935.712.95390.2570.56
    水域1758.365.541757.235.541.1399.94
    城镇用地5873.5118.527637.9424.08-1764.4376.90
    未利用土地82.380.2657.090.1825.2969.30
    Table 4. Simulation and accuracy test of land use in Nansihu Lake Basin in 2015
    土地利用
    类型
    2015年土地利用构成2020年土地利用构成
    面积/km2占比/%面积/km2占比/%
    耕地22137.5469.7922025.6769.44
    林地541.251.71539.221.70
    草地1325.964.181322.684.17
    水域1758.365.541747.725.51
    城镇用地5873.5118.526001.2318.92
    未利用土地82.380.2682.470.26
    Table 5. Prediction of land use in Nansihu Lake Basin in 2020
    Yan-de JING, Hua-mei ZHANG. Risk assessment of non-point source pollution output in Nansihu Lake Basin based on LUCC[J]. Journal of Natural Resources, 2019, 34(1): 128
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