[1] SINGH A.Soil salinization management for sustainable development: A review[J]. Journal of environmental management, 2021, 277: 111383. [2] 王敬哲,丁建丽,葛翔宇,等.基于星地传感技术的土壤盐渍化监测进展与展望[J].遥感学报,2024,28(9):2187-2208. [3] 蒙慧敏,占车生,胡实,等.大型灌区土壤水盐运移模拟研究进展[J].干旱区地理,2024,47(9):1566-1576. [4] CORWIN D L, SCUDIERO E.Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors[J].Advances in agronomy, 2019, 158: 1-130. [5] HASSANI A, AZAPAGIC A, SHOKRI N.Predicting long-term dynamics of soil salinity and sodicity on a global scale[J]. Proceedings of the national academy of sciences of the United States of America, 2020, 117(52): 33017-33027. [6] ZHAO S, AYOUBI S, MOUSAVI S R, et al.Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China[J]. Journal of environmental management, 2024, 364: 121311. [7] 张芳,熊黑钢,田源,等.区域尺度地形因素对奇台绿洲土壤盐渍化空间分布的影响[J].环境科学研究,2011,24(7):731-739. [8] 顾峰雪,张远东,潘晓玲,等.水盐动态与土地利用变化相互作用的分析[J].地理学报,2003,58(6):845-853. [9] 李宝富,熊黑钢,张建兵,等.不同耕种时间下土壤剖面盐分动态变化规律及其影响因素研究[J].土壤学报,2010,47(3):429-438. [10] 鲍士旦. 土壤农化分析[M].3版.北京:中国农业出版社,2000. [11] WANG F, YANG S T, YANG W, et al.Comparison of machine learning algorithms for soil salinity predictions in three dryland oases located in Xinjiang Uyghur Autonomous Region (XJUAR) of China[J]. European journal of remote sensing, 2019, 52(1): 256-276. [12] MA S L, HE B Z, XIE B Q, et al.Investigation of the spatial and temporal variation of soil salinity using Google Earth Engine: A case study at Werigan-Kuqa Oasis, West China[J]. Scientific reports, 2023, 13: 2754. [13] 丁玮祺,吾木提·艾山江,阿不都艾尼·阿不里,等.基于机器学习的干旱区土壤盐渍化定量估算[J].土壤通报, 2022, 53(5): 1038-1048. [14] 吕娜娜,罗格平,丁建丽,等.滴灌背景下玛纳斯流域绿洲内外荒地土壤盐分时空变化趋势分析[J].自然资源学报,2017,32(9):1542-1553. [15] 李玉义,张凤华,潘旭东,等.新疆玛纳斯河流域不同地貌类型土壤盐分累积变化[J].农业工程学报,2007,23(2):60-64. [16] 庄庆威,吴世新,杨怡,等.近10年新疆不同程度盐渍化耕地的时空变化特征[J].中国科学院大学学报,2021,38(3):341-349. [17] 昌吉回族自治州人民政府.昌吉回族自治州防沙治沙规划(2021—2030年)[R].新疆昌吉: 昌吉回族自治州人民政府, 2025. [18] 中国气象局国家气候中心.全国气候影响评价(2024)[M]. 北京: 气象出版社, 2025. [19] RHOADES J D, CHANDUVI F, LESCH S M.Soil salinity assessment: Methods and interpretation of electrical conductivity measurements[M]. Rome: Food and agriculture organization of the United Nations, 1999. [20] CORWIN D L,LESCH S M.Application of soil electrical conductivity to precision agriculture: Theory, principles, and guidelines[J]. Agronomy journal, 2003,95(3):455-471. [21] 刘纪远,匡文慧,张增祥,等.20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J].地理学报,2014,69(1):3-14. [22] SHI X Z, YU D S, WARNER E D, et al.Soil database of 1∶ 1,000,000 digital soil survey and reference system of the Chinese Genetic Soil Classification System[J]. Soil survey horizons, 2004, 45(4): 129-136. [23] 周成虎,程维明,钱金凯,等.中国陆地1∶100万数字地貌分类体系研究[J].地球信息科学学报,2009,11(6):707-724. [24] GORELICK N, HANCHER M, DIXON M, et al.Google earth engine: Planetary-scale geospatial analysis for everyone[J]. Remote sensing of environment, 2017, 202: 18-27. [25] ABATZOGLOU J T, DOBROWSKI S Z, PARKS S A, et al.TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015[J]. Scientific data, 2018, 5: 170191. [26] RODELL M, HOUSER P R, JAMBOR U, et al.The global land data assimilation system[J]. Bulletin of the American meteorological society, 2004, 85(3): 381-394. [27] LLOYD C T, SORICHETTA A, TATEM A J.High resolution global gridded data for use in population studies[J]. Scientific data, 2017, 4: 170001. [28] KRUSKAL W H, WALLIS W A.Use of ranks in one-criterion variance analysis[J]. Journal of the American statistical association, 1952, 47(260): 583-621. [29] DUNN O J.Multiple comparisons using rank sums[J]. Technometrics, 1964, 6(3): 241-252. [30] BREIMAN L.Random forests[J].Machine learning,2001,45(1): 5-32. [31] LIAW A, WIENER M.Classification and regression by Random Forest[J]. Computer science, mathematics, 2002, 2(3): 18-22. [32] 李娜,吴玲,王绍明,等.玛纳斯河流域土壤盐渍化现状及其与光谱关系研究[J].江西农业大学学报,2011,33(6):1242-1247. [33] 魏慧敏,贾科利,张旭,等.基于机器学习和多光谱遥感的银川平原土壤盐分预测[J].干旱区地理,2023,46(1):103-114. [34] WANG J, DING J, YU D, et al.Capability of Sentinel-2 MSI data for monitoring and mapping of soil salinity in dry and wet seasons in the Ebinur Lake region, Xinjiang, China[J]. Geoderma, 2019, 353: 172-187. [35] SHI H, LUO G, SUTANUDJAJA E H, et al.Recent impacts of water management on dryland’s salinization and degradation neutralization[J]. Science bulletin, 2023, 68(24): 3240-3251 [36] 颜安,蒋平安,盛建东,等.玛纳斯河流域表层土壤盐分空间变异特征研究[J].土壤学报,2014,51(2):410-414. [37] XIAO C, JI Q Y, CHEN J Q, et al.Prediction of soil salinity parameters using machine learning models in an arid region of northwest China[J]. Computers and electronics in agriculture, 2023, 204: 107512. [38] ZHANG M L, FAN X L, GAO P, et al.Monitoring soil salinity in arid areas of northern Xinjiang using multi-source satellite data: A trusted deep learning framework[J]. Land, 2025, 14(1): 110. |