中国地质调查局西安地质调查中心/西北地质科技创新中心,陕西,西安,710054
纸质出版:2019
移动端阅览
王鹏, 刘拓, 段星星, 等. 基于熵权的土壤养分地球化学多级模糊综合评判——以陕西省关中地区为例[J]. 水土保持通报, 2019,39(6):136-141.
Wang Peng, Liu Tuo, Duan Xingxing, et al. Multi-level Fuzzy Comprehensive Evaluation of Soil Nutrient Geochemistry Based on Entropy Weight—Taking Guanzhong Region of Shaanxi Province as an Example[J]. Bulletin of Soiland Water Conservation, 2019, 39(6): 136-141.
王鹏, 刘拓, 段星星, 等. 基于熵权的土壤养分地球化学多级模糊综合评判——以陕西省关中地区为例[J]. 水土保持通报, 2019,39(6):136-141. DOI: 10.13961/j.cnki.stbctb.2019.06.020.
Wang Peng, Liu Tuo, Duan Xingxing, et al. Multi-level Fuzzy Comprehensive Evaluation of Soil Nutrient Geochemistry Based on Entropy Weight—Taking Guanzhong Region of Shaanxi Province as an Example[J]. Bulletin of Soiland Water Conservation, 2019, 39(6): 136-141. DOI: 10.13961/j.cnki.stbctb.2019.06.020.
[目的] 研究陕西省关中地区的土壤养分地球化学综合等级,为该区土地质量、生态管理以及土地资源的合理利用提供科学依据。[方法] 利用土地质量地球化学调查中的大量、中量、微量元素等12种指标,构建基于熵权的多级模糊综合评判模型,使用熵理论确定权重,模糊评价等级,分层次多级评判,最大限度地区分了关中地区各评价指标的差异,综合、客观地进行评价养分等级。[结果] 大量养分1和2等级比例占2.0%,中量养分1和2等级比例约占30.31%,微量养分1和2等级比例约占66.42%,土壤养分地球化学综合1和2等级土地所占比例为33.52%;河谷区域中的大量、中量、微量养分均较低;渭北台塬中量、微量养分丰富,大量养分较缺乏;中低山区大量、中量、微量养分均丰富;秦岭北缘微量元素丰富,大量养分元素处于中等水平,而中量元素较缺乏。[结论] 关中地区大量养分缺乏,中量和微量养分充足,综合等级以2,3和4等级为主,但空间变异较大,需要整体施用富含大量养分元素肥料,同时针对不同景观区的养分短板,合理补充中量、微量元素肥料,以提高关中地区的土壤生产力。
[Objective] The comprehensive evaluation of soil nutrient geochemistry in Guanzhong region of Shaanxi Province was studied
to provide scientific basis for land quality
ecological management and rational utilization of land resources.[Methods] Based on 12 evaluation indexes such as mass nutrients
medium nutrients
and trace nutrients in the geochemical survey of land quality
a multi-level fuzzy comprehensive evaluation model based on entropy weight was constructed. The entropy theory was used to determine the weight. The grades were vaguely evaluated by multiple levels
to divide the differences among the evaluation indicators in Guanzhong area.[Results] The proportion of first and second class of mass nutrients accounted for 2.0%. The proportion of first and second class of medium nutrients accounted for 30.31%. The proportion of first and second class of trace nutrient accounted for 66.42%. The proportion of first and second class of soil nutrient geochemistry accounted for 33.52%. The mass nutrients
medium nutrients
and trace nutrients were all lack in the valley area. The medium nutrients and trace nutrients were rich in Weibei plateau
but the mass nutrients was lack. The mass nutrients
medium nutrients
and trace nutrients were rich in the middle and low mountains. The trace nutrients was rich in the northern edge of the Qinling Mountains
and the mass nutrients were at a moderate level
while the trace nutrients were lacking.[Conclusion] The mass nutrients is lacking
while the medium nutrients and trace nutrients are rich in Guanzhong area. The comprehensive evaluation level of soil nutrients is mainly the second
third and fourth level
but the spatial variation is large. To improve the soil productivity in Guanzhong area
it is necessary to apply the fertilizer of mass nutrients as a whole
and at the same time
to apply the medium nutrients and trace nutrients in different landscape areas.
刘希瑶.土地质量地球化学评估在土地规划和管理中的作用[J].地质与资源,2012,21(6):557-562.
杨品芸,余涛,李敏,等.DZ/T0295-2016土地质量地球化学评价规范[S].北京:国土资源部,2016.
成杭新,李括,李敏,等.中国城市土壤化学元素的背景值与基准值[J].地学前缘,2014,21(3):265-306.
奚小环,陈国光,张德存,等.DZ/T 0258-2014多目标区域地球化学调查规范(1:250000)[S].北京:中国标准出版社,2015.
王纪杰,陈昌仁,俞元春,等.不同模型在土壤质量评价中的应用研究进展[J].贵州农业科学,2011,39(7):000115-122.
杜艳,常江,徐笠.土壤环境质量评价方法研究进展[J].土壤通报,2010,41(3):749-756.
杨光丽.模糊综合评价法在土壤环境质量评价中的应用实例[J].气象与环境学报,2008,24(3):63-66.
王建国,杨林章,单艳红.模糊数学在土壤质量评价中的应用研究[J].土壤学报,2001,38(2):176-183.
肖玖金,马红星,王莉,等.基于物元模型的川东北丘陵区土壤养分综合评价[J].江西农业大学学报,2011,33(2):381-387.
武伟,唐明华,刘洪斌.土壤养分的模糊综合评价[J].西南大学学报:自然科学版,2000,22(3):270-272.
韩磊,李锐,朱会利,等.基于BP神经网络的土壤养分综合评价模型[J].农业机械学报,2011,42(7):109-115.
欧阳纯烈,何云晓.基于模糊综合评判法的四川绵阳土壤肥力质量评价[J].贵州农业科学,2013,41(9):101-103.
俞丹萍,覃亚,潘洪明,等.基于模糊综合评判法的温室黄瓜种植最优化施肥模式评判[J].农业环境科学学报,2012(11):2200-2206.
杨惠敏,付萍.基于熵权的多级模糊综合评价的应用[J].华北电力大学学报:自然科学版,2005,32(5):104-107.
王日照,陈海生,吴玉勇,等.浙东红壤丘陵区农田土壤中量微量元素含量研究[J].江西农业学报,2012,24(5):104-107.
李志鹏,常庆瑞,赵业婷,等.关中盆地县域农田土壤肥力特征与评价研究[J].土壤通报,2013,44(4):814-819.
0
浏览量
967
下载量
3
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621