导读:本文包含了源汇识别论文开题报告文献综述及选题提纲参考文献,主要关键词:源汇景观单元,水文响应单元,土壤侵蚀,景观空间负荷对比指数
源汇识别论文文献综述
王金亮,谢德体,倪九派,邵景安[1](2017)在《基于源汇景观单元的流域土壤侵蚀风险格局识别》一文中研究指出人类活动影响下的土地利用及其景观格局会在一定程度上影响流域土壤侵蚀的发生发展。选取位于叁峡库区的綦江流域作为研究区,利用2015年航空影像数据、数字高程模型和土壤数据库,进行水文响应单元的划分,以此作为研究区的源汇景观单元。综合景观类型、土壤和坡度对土壤侵蚀影响的贡献,构建源汇景观单元权重,在此基础上,对景观空间负荷对比指数进行修正并进行土壤侵蚀风险格局识别,最后利用修正的通用土壤侵蚀方程进行土壤侵蚀的模拟,以此验证风险格局的合理性,并综合分析了源汇景观空间特征:源汇景观单元组成结构、权重和土壤侵蚀风险。结果表明:(1)源汇景观单元权重大的地区主要分布在中低山区向低丘缓坡区过渡的地带,坡度较大、土壤可蚀性较高,以及水田、旱地和居民点的源汇景观单元也较为集中分布。(2)各子流域的景观空间负荷对比指数与平均土壤侵蚀模数具有显着正相关关系,因此基于源汇景观单元并赋予其权重的景观空间负荷对比指数能较好地反映流域内部土壤侵蚀规律,可作为流域土壤侵蚀风险评价的有效方法之一。(3)依据各子流域的景观空间负荷对比指数特征可将库区綦江流域划分为五大土壤侵蚀景观风险区:北部沿江地区各子流域耕地分布较为集中且相对水流路径较短,以及林草地较少,土壤侵蚀风险大;中部丘陵地区源景观单元分布较为分散,景观空间分布不均衡,存在一定的土壤侵蚀风险;南部中低山区以林地汇景观分布为主,源景观分布相对较小,土壤侵蚀风险较低。(本文来源于《生态学报》期刊2017年24期)
王金亮,邵景安,王丹,倪九派,谢德体[2](2016)在《叁峡库区面源污染形成的景观阻/动力评价与“源/汇”格局识别(英文)》一文中研究指出Non-point source pollution is one of the primarily ecological issues affecting the Three Gorges Reservoir Area. In this paper, landscape resistance and motivation coefficient, which integrated various landscape elements, such as land use, soil, hydrology, topography, and vegetation, was established based on the effects of large-scale resistance and motivation on the formation of non-point source pollution. In addition, cost models of the landscape resistance and motivation coefficients were constructed based on the distances from the landscape units to the sub-basin outlets in order to identify the "source" and "sink" patterns affecting the formation of non-point source pollution. The results indicated that the changes in the landscape resistance and motivation coefficients of the 16 sub-basins exhibited inverse relationships to their spatial distributions. The landscape resistance and motivation cost curves were more volatile than the landscape resistance and motivation coefficient curves. The landscape resistance and motivation cost trends of the 16 sub-basins became increasingly apparent along the flow of the Yangtze River. The landscape resistance and motivation cost models proposed in this paper could be used to identify large-scale non-point source pollution "source" and "sink" patterns. Moreover, the proposed model could be used to describe the large-scale spatial characteristics of non-point source pollution formation based on "source" and "sink" landscape pattern indices, spatial localization, and landscape resistance and motivation coefficients.(本文来源于《Journal of Geographical Sciences》期刊2016年10期)
源汇识别论文开题报告
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Non-point source pollution is one of the primarily ecological issues affecting the Three Gorges Reservoir Area. In this paper, landscape resistance and motivation coefficient, which integrated various landscape elements, such as land use, soil, hydrology, topography, and vegetation, was established based on the effects of large-scale resistance and motivation on the formation of non-point source pollution. In addition, cost models of the landscape resistance and motivation coefficients were constructed based on the distances from the landscape units to the sub-basin outlets in order to identify the "source" and "sink" patterns affecting the formation of non-point source pollution. The results indicated that the changes in the landscape resistance and motivation coefficients of the 16 sub-basins exhibited inverse relationships to their spatial distributions. The landscape resistance and motivation cost curves were more volatile than the landscape resistance and motivation coefficient curves. The landscape resistance and motivation cost trends of the 16 sub-basins became increasingly apparent along the flow of the Yangtze River. The landscape resistance and motivation cost models proposed in this paper could be used to identify large-scale non-point source pollution "source" and "sink" patterns. Moreover, the proposed model could be used to describe the large-scale spatial characteristics of non-point source pollution formation based on "source" and "sink" landscape pattern indices, spatial localization, and landscape resistance and motivation coefficients.
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源汇识别论文参考文献
[1].王金亮,谢德体,倪九派,邵景安.基于源汇景观单元的流域土壤侵蚀风险格局识别[J].生态学报.2017
[2].王金亮,邵景安,王丹,倪九派,谢德体.叁峡库区面源污染形成的景观阻/动力评价与“源/汇”格局识别(英文)[J].JournalofGeographicalSciences.2016
标签:源汇景观单元; 水文响应单元; 土壤侵蚀; 景观空间负荷对比指数;