干旱荒漠区人工绿洲土壤盐碱化风险综合评估与演变分析

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Abstract To clarify the spatiotemporal variation characteristics of water and salt and the spatial evolution of salinization in artificial oasis in arid desert area, Jingtaichuan electric power irrigation area in Gansu Province was taken as the research area, 2002, 2010 and 2018 were selected as representative years. The soil salinization risk assessment system was constructed based on multi-level fuzzy theory from three driving processes: geological-climatic driven, soil-water environmental driven and natural-human driven. The cloud generator principle, golden ratio method, combined assignment method and queuing theory were integrated to construct a comprehensive spatial risk evaluation model of soil salinization. The long-sequence monitoring data, multi-temporal spatial data, and economic and social data were fused based on the element weights using ArcGIS10.2. The spatial risk state of salinization in each period was visually expressed and flow traced. The results of the study showed that: 1) The overall risks of land salinization in 2002, 2010 and 2018 were "critical", "critical-mild risk" and "mild risk"; 2) The dominant factors in the soil salinization were the depth of groundwater and the mineralization of groundwater; 3) In the irrigation area, the intensity of spatial evolution pattern of salinization risk: continuous change type>early change type>late change type>continuous stable type>repeated change type. The overall salinization risk in the study area showed a transition trend from "risk-free to critical state" and "from critical state to mild risk"; 4) From 2002 to 2018, the salinization in the study area was aggravating with obvious regional differences and generally presented an arcing increase from northwest to southeast.

Key words： arid desert areas artificial oasis salinization risk spatial pattern evolution analysis

Received: 18 May 2021

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X171.4

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	LIU Zi-jin
	XU Cun-dong
	ZHU Xing-lin
	ZHOU Dong-meng
	TIAN Jun-jiao
	GU Feng-you
	HUANG Song
	LI Zhi-rui
	ZHAO Zhi-hong
	WANG Xin

Cite this article:

LIU Zi-jin,XU Cun-dong,ZHU Xing-lin等. Comprehensive assessment and evolution analysis of soil salinization in artificial oasis in arid desert area[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(1): 367-379.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I1/367

[1]	邓铭江. 中国西北"水三线"空间格局与水资源配置方略[J]. 地理学报, 2018, 73(7): 1189-1203. Deng M J. "ThreeWater Lines" strategy: Its spatial patterns and effectson water resources allocation in northwest China [J]. Acta Geographica Sinica, 2018, 73(7): 1189-1203.
[2]	郭勇, 尹鑫卫, 李彦, 等. 农田-防护林-荒漠复合系统土壤水盐运移规律及耦合模型建立[J]. 农业工程学报, 2019, 35(17): 87-101. Guo Y, Yin X W, Li Y, et al. Soil water and salt dynamics and its coupling model at cropland-treebelt-desert compound system [J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(17): 87-101
[3]	杨劲松. 中国盐渍土研究的发展历程与展望[J]. 土壤学报, 2008, 45(5): 837-845. Yang J S. Development and prospect of the research on salt-affected soils in China [J]. Acta Pedologica Sinica, 2008, 45(5): 837-845.
[4]	张帅, 董会忠, 曾文霞. 土地生态系统脆弱性时空演化特征及影响因素—以黄河三角洲高效生态经济区为例[J]. 中国环境科学, 2019, 39(4): 1696-1704. Zhang S, Dong H Z, Zeng W X. The time-space evolution characteristics of the vulnerability of land ecosystems and influencing factors: A case study of theYellow River Delta Efficiency Eco-economic Zone [J]. China Environmental Science, 2019, 39(4): 1696-1704.
[5]	徐存东. 景电灌区水盐运移对局域水土资源影响研究[D]. 兰州: 兰州大学, 2010. Xu C D. Research on the effect of local water and soil environment caused by water-salt transportation in Jing-Dian Irrigation district [D]. Lanzhou University, 2010.
[6]	王全九, 邓铭江, 宁松瑞, 等. 农田水盐调控现实与面临问题[J]. 水科学进展, 2021, 32(1): 139-147. Wang Q J, Deng M J, Ning S R, et al. Reality and problems of controlling soil water and salt in farmland [J]. Advances In Water Science, 2021, 32(1): 139-147.
[7]	胡宏昌, 田富强, 张治, 等. 干旱区膜下滴灌农田土壤盐分非生育期淋洗和多年动态[J]. 水利学报, 2015, 46(9): 1037-1046. Hu H C, Tian F Q, Zhang Z, et al. Soil salt leaching in non-growth period and salinitydynamics under mulched drip irrigation in arid area [J]. Journal of Hydraulic Engineering, 2015, 46(9): 1037-1046.
[8]	毛海涛, 黄庆豪, 吴恒滨. 干旱区农田不同类型土壤盐碱化发生规律[J]. 农业工程学报, 2016, 32(S1): 112-117. Mao H T, Huang Q H, Wu H B. Soil salinization features in arid areas farmland[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(S1): 112-117.
[9]	杨厚翔, 雷国平, 徐秋, 等. 基于危险度与风险格局的土地盐碱化监测区优先级评价[J]. 农业工程学报, 2019, 35(7): 238-246. Yang H X, Lei G P, Xu Q, et al. Priority evaluation of land salinization monitoring area based on danger degree and risk pattern [J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(7): 238-246.
[10]	Chang X, Gao Z, Wang S, et al. Modelling long-term soil salinity dynamics using SaltMod in Hetao Irrigation District, China [J]. Computers and Electronics in Agriculture, 2019, 156: 447-458.
[11]	Castrignanò A, Buttafuoco G, Puddu R. Multi-scale assessment of the risk of soil salinization in an area of south-eastern Sardinia (Italy) [J]. Precision Agriculture, 2008, 9(1/2): 17-31.
[12]	Buchanan S, Huang J, Triantafilis J. Salinity risk assessment using fuzzy multiple criteria evaluation [J]. Soil Use and Management, 2017, 33(2): 216-232.
[13]	李自珍, 李维德, 石洪华, 等. 生态风险灰色评价模型及其在绿洲盐渍化农田生态系统中的应用[J]. 中国沙漠, 2002, 22(6): 617-622. Li Z Z, Li W D, Shi H H, et al. Gray model for ecological risk assessment and its application in salinization oasis agroecosystem [J]. Journal of Desert Research, 2002, 22(6): 617-622.
[14]	姚荣江, 杨劲松, 陈小兵, 等. 苏北海涂典型围垦区土壤盐渍化风险评估研究[J]. 中国生态农业学报, 2010, 18(5): 1000-1006. Yao R J, Yang J S, Chen X B, et al. Evaluating soil salinization risk in typical coastal reclaimed regions in North Jiangsu Province [J]. Chinese Journal of Eco-Agriculture, 2010, 18(5): 1000-1006.
[15]	李冬顺, 杨劲松, 姚荣江. 生态风险分析用于苏北滩涂土壤盐渍化风险评估研究[J]. 土壤学报, 2010, 47(5): 857-864. Li D S, Yang J S, Yao R J, et al. Application of ecological risk analysis to soil salinization risk assessment of coastal tidal flat in north Jiangsu province [J]. Acta Pedologica Sinica, 2010, 47(5): 857-864.
[16]	依力亚斯江·努尔麦麦提, 师庆东, 阿不都拉·阿不力孜, 等. 灰色评估模型定量评价于田绿洲土壤盐渍化风险[J]. 农业工程学报, 2019, 35(8): 176-184. Ilyas Nurmemet, Shi Q D, Abdulla Abliz, et al. Quantitative evaluation of soil salinization risk in Keriya Oasis based on grey evaluation model [J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(8): 176-184
[17]	刘华新, 苑一鸣, 周沛, 等. 基于融合理论的风电机组状态评价正态云模型[J]. 太阳能学报, 2018, 39(10): 2891-2900. Liu H X, Yuan Y M, Zhou P, et al. Normal cloid model for condition evaluation of wind turbines based on fusion theory [J]. Acta Energiae Solaris Sinice, 2018, 39(10): 2891-2900.
[18]	冶运涛, 梁犁丽, 曹引, 等. 基于可变集和云模型的河湖水系连通方案优选决策方法[J]. 农业机械学报, 2018, 49(12): 211-225, 313. Ye Y T, Liang L L, Cao Y, et al. Optimal decision method for interconnected river system network schemes based on variable sets and cloud model [J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(12): 211-225, 313.
[19]	Wang F, Zhong D H, Yan Y L, et al. Rockfill dam compaction quality evaluation based on cloud-fuzzy model [J]. Journal of Zhejiang University-SCIENCE A, 2018, 19(4): 289-303.
[20]	徐存东, 程慧, 王燕, 等. 灌区土壤盐渍化程度云理论改进多级模糊评价模型[J]. 农业工程学报, 2017, 33(24): 88-95. Xu C D, Cheng H, Wang Y, et al. Improved multi-level fuzzy evaluation model based on cloud theory for evaluation of soil salinization degree [J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(24): 88-95.
[21]	王荣荣. 景电灌区土壤盐渍化特征及水盐运移规律研究[D]. 郑州: 华北水利水电大学, 2017. Wang R R. Characteristics of soil salinization and law of water and salt transport in Jingdian Irrigation Area [D]. Zhengzhou: North China University of Water Resources and Electric Power, 2017.
[22]	汪培庄, 李洪兴. 模糊系统理论与模糊计算机[M]. 北京: 科学出版社, 1996. Wang P Z, Li H X. Fuzzy system theory and fuzzy computer [M]. Beijing: Science Press, 1996.
[23]	李佳, 段平, 吕海洋, 等. 基于改进的逐点交叉验证的RBF形态参数优化方法及其空间插值实验[J]. 地理与地理信息科学, 2016, 32(3): 39-42, 48. Li J, Duan P, Lv H Y, et al. YRBF shape parameter optimization approach basd on iloocve and its spatial interpolation experiments [J]. Geography and Geo-Information Science, 2016, 32(3): 39-42, 48.
[24]	马宏宏, 余涛, 杨忠芳, 等. 典型区土壤重金属空间插值方法与污染评价[J]. 环境科学, 2018, 39(10): 4684-4693. Ma H H, Yu T, Yang Z F, et al. Spatial interpolation methods and pollution assessment of heavy metals of soil in typical areas [J]. Environmental Science, 2018, 39(10): 4684-4693.
[25]	彭继达, 张春桂. 基于高分一号遥感影像的植被覆盖遥感监测——以厦门市为例[J]. 国土资源遥感, 2019, 31(4): 137-142. Peng J D, Zhang C G. Remote sensing monitoring of vegetation coverage by GF-1 Satellite: A case study of Xiamen City [J]. Remote Sensing for Land & Resource, 2019, 31(4): 137-142.
[26]	胡德勇, 乔琨, 王兴玲, 等. 单窗算法结合Landsat8热红外数据反演地表温度[J]. 遥感学报, 2015, 19(6): 964-976. Hu D Y, Qiao K, Wang X L, et al. Land surface temperature retrieval from Landsat 8thermal infrared data using mono-window algorithm [J]. National Remote Sensing Bulletin, 2015, 19(6): 964-976.
[27]	江淼, 张显峰, 孙权, 等. 不同分辨率影像反演植被覆盖度的参数确定与尺度效应分析[J]. 武汉大学学报(信息科学版), 2011, 36(3): 311-315. Jiang M, Zhang X F, et al. Vegetation coverage retrieval scale effect analysis using multi sensor data [J]. Geomatics and Information Science of Wuhan University, 2011, 36(3): 311-315.
[28]	傅鹤林, 黄震, 黄宏伟, 等. 基于云理论的隧道结构健康诊断方法[J]. 工程科学学报, 2017, 39(5): 794-801. Fu H L, Huang Z, Huang H W, et al. Health diagnosis method of shield tunnel structure based on theory [J]. Chinese Journal of Engineering, 2017, 39(5): 794-801.
[29]	魏巍贤, 冯佳. 多目标权系数的组合赋值方法研究[J]. 系统工程与电子技术, 1998, (2): 14-16. Wei W X, Feng J. Study on multiobjective weights Combination Assigning Method [J]. Systems Engineering and Electronics, 1998, (2): 14-16.
[30]	Wang J Q, Peng L, Zhang H Y, et al. Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information [J]. Information ences, 2014, 274: 177-191.
[31]	张晓娟, 周启刚, 王兆林, 等. 基于MCE-CA-Markov的三峡库区土地利用演变模拟及预测[J]. 农业工程学报, 2017, 33(19): 268-277. Zhang X J, Zhou Q G, Wang Z L, et al. Simulation and prediction of land use change in Three Gorges Reservoir Area based on MCE-CA-Markov [J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(19): 268-277.
[32]	龚文峰, 袁力, 范文义. 基于CA-Markov的哈尔滨市土地利用变化及预测[J]. 农业工程学报, 2012, 28(14): 216-222. Gong W F, Yuan L, Fan W Y. Dynamic change and prediction of land use in Harbin city based on CA-Markov model [J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(14): 216-222.
[33]	王友生, 余新晓, 贺康宁, 等. 基于CA-Markov模型的藉河流域土地利用变化动态模拟[J]. 农业工程学报, 2011, 27(12): 330-336, 442. Wang Y S, Yu X X, He K N, et al. Dynamic simulation of land use change in Jihe watershed based on CA-Markov model [J]. Transactions of the CSAE, 2011, 27(12): 330-336, 442.