Evaluation algorithm of alhagi sparsifolia desertification control under different irrigation amounts

IF 0.7 4区 地球科学 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Juan Li, Wei Liu, Xinxing Zhang
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引用次数: 1

Abstract

How to cite item Li, J., Liu, W, & Zhang, W. (2020). Evaluation algorithm of Alhagi Sparsifolia desertification control under different irrigation amounts. Earth Sciences Research Journal, 24(4), 449-457. DOI: https://doi.org/10.15446/esrj.v24n4.91626 Desertification control is an important issue that must be considered in modern society. In order to effectively improve the accuracy and practicability of the evaluation algorithm of desertification control effect, the Alhagi sparsifolia index under different irrigation amount was taken as the research object, and the evaluation algorithm of desertification control effect was proposed. In the “vegetation-sandstorm-soil” index system, a number of indexes were selected according to the core environmental parameters of Alhagi sparsifolia and grassland desertification. And the analytic hierarchy process, remote sensing, geographic information system, and landscape technology were used to assign index weights of desertification control capacity, which were calculated by multiple discriminant matrices. Finally, the data regression analysis was performed based on remote sensing and computer image information screening and processing to determine the final evaluation results. The experimental data show that the true positive rate of the algorithm in this paper is between 160 and 200, which is within a large range of advantages, indicating that the overall evaluation accuracy of the algorithm is high and the evaluation effect is perfect. ABSTRACT Evaluation algorithm of alhagi sparsifolia desertification control under different irrigation amounts
不同灌水量下疏叶藻沙漠化防治评价算法
李军,刘伟,张伟(2020)。不同灌水量下杉木沙化治理评价算法地球科学研究,24(4),449-457。荒漠化防治是现代社会必须考虑的重要问题。为有效提高防沙治沙效果评价算法的准确性和实用性,以不同灌水量下的疏叶alhagi指数为研究对象,提出防沙治沙效果评价算法。在“植被-沙尘暴-土壤”指标体系中,根据疏叶alhagi和草地沙漠化的核心环境参数,选取了多个指标。运用层次分析法、遥感、地理信息系统和景观技术等方法,通过多重判别矩阵计算出荒漠化治理能力指标权重。最后,在遥感和计算机图像信息筛选处理的基础上进行数据回归分析,确定最终评价结果。实验数据表明,本文算法的真阳性率在160 ~ 200之间,处于较大的优势范围内,说明该算法的整体评价精度较高,评价效果较好。不同灌水量下疏叶藻沙漠化防治评价算法
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来源期刊
Earth Sciences Research Journal
Earth Sciences Research Journal 地学-地球科学综合
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: ESRJ publishes the results from technical and scientific research on various disciplines of Earth Sciences and its interactions with several engineering applications. Works will only be considered if not previously published anywhere else. Manuscripts must contain information derived from scientific research projects or technical developments. The ideas expressed by publishing in ESRJ are the sole responsibility of the authors. We gladly consider manuscripts in the following subject areas: -Geophysics: Seismology, Seismic Prospecting, Gravimetric, Magnetic and Electrical methods. -Geology: Volcanology, Tectonics, Neotectonics, Geomorphology, Geochemistry, Geothermal Energy, ---Glaciology, Ore Geology, Environmental Geology, Geological Hazards. -Geodesy: Geodynamics, GPS measurements applied to geological and geophysical problems. -Basic Sciences and Computer Science applied to Geology and Geophysics. -Meteorology and Atmospheric Sciences. -Oceanography. -Planetary Sciences. -Engineering: Earthquake Engineering and Seismology Engineering, Geological Engineering, Geotechnics.
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