1. 山东农业大学资源与环境学院,山东,泰安,271018
2. 山东鲁研农业良种有限公司,济南,250100
3. 莱州市农业农村局, 山东 莱州,261400
[ "宋颖(1998-),男,在读硕士生研究生,主要从事土地利用与保护研究。E-mail:yings9821@163.com" ]
纸质出版:2023
移动端阅览
宋颖, 高明秀, 徐帻欣, 等. 环渤海平原区土壤盐渍化反演与水盐耦合分析[J]. 水土保持学报, 2023,37(6):315-324.
SONG Ying, GAO Mingxiu, XU Zexin, et al. Inversion of Soil Salinization and Water Salt Coupling Analysis in the Bohai Rim Plain Area[J]. 2023, 37(6): 315-324.
宋颖, 高明秀, 徐帻欣, 等. 环渤海平原区土壤盐渍化反演与水盐耦合分析[J]. 水土保持学报, 2023,37(6):315-324. DOI: 10.13870/j.cnki.stbcxb.2023.06.040.
SONG Ying, GAO Mingxiu, XU Zexin, et al. Inversion of Soil Salinization and Water Salt Coupling Analysis in the Bohai Rim Plain Area[J]. 2023, 37(6): 315-324. DOI: 10.13870/j.cnki.stbcxb.2023.06.040.
为明晰土壤盐渍化多维空间分布特征、水盐耦合关系
以环渤海平原的山东部分为研究区
通过野外实测和室内分析获取数据
基于经典统计方法对土壤水盐特征进行描述性统计分析;利用GIS软件分析土壤含盐量、含水量的二维空间分布
GMS软件可视化分析土壤盐渍化三维空间分异特征;构建土壤水盐耦合协调模型
定量分析不同因素对水盐耦合协调度的影响程度。结果表明:(1)研究区土壤含盐量中位数为2.08 g/kg
以中度盐渍土为主
土壤含盐量整体呈自上而下逐渐增大趋势
表层土壤含水量均值为15.38%
全区域较缺水;(2)二维空间上
土壤含水量<20%的面积为17 519.48 km2
共占86.64%;表层(0-20 cm)土壤含盐量以轻度盐渍土为主
面积为10 051.87 km2
占总面积49.71%。土壤含水量、土壤含盐量均呈自南向北增加趋势;三维空间上
土体盐渍化分布类型以均质型、底聚型为主
局部存在表聚、两端集聚类型
土体盐渍化分布特征复杂;(3)东营区以北区域水盐耦合度多>0.66
以南区域(除平度、莱州市外)耦合度多为0.40~0.66
形成以东营区为界
以北区域水盐相互作用强度整体大于以南区域的空间格局;(4)南部以低度协调、中度协调为主
北部则以较高协调、高度协调为主
高程、平均温度、平均降雨量、NDVI对水盐耦合协调度影响最强
其相关系数分别为0.26
0.25
0.25
0.21。研究结果可为环渤海平原区域盐渍土资源合理开发利用提供理论依据。
In order to clarify the multidimensional spatial distribution characteristics and the water-salt coupling relationship of soil salinity
the Shandong part of the Bohai Rim Plain was taken as the research area. Data were obtained through field measurements and indoor analyses
and descriptive statistical analysis of soil water-salt characteristics were carried out based on classical statistical methods. GIS software was used to analyze the two-dimensional spatial distribution of soil salinity and water content
and GMS software visualization was used to and analyze the three-dimensional spatial differentiation characteristics of soil salinity. A soil water-salt coupling coordination model was constructed to quantitatively analyze the degree of influence of different factors on water-salt coupling coordination. The results showed that: (1) The median soil salinity in the study area was 2.08 g/kg
with moderately saline soils dominating
and the overall soil salinity showed a gradual increase from top to bottom; the mean value of surface soil water content was 15.38%
and the whole region was relatively water-scarce. (2) In the two-dimensions
the area with soil water content less than 20% was 17 519.48 km2
which accounted for a total of 86.64%; the soil salinity in the surface layer (0—20 cm) was dominated by mildly saline soils
with an area of 10 051.87 km2
accounting for 49.71% of the total area. Soil water content and soil salinity both showed an increasing trend from south to north. (3) The water-salt coupling degree in the area north of Dongying District was mostly greater than 0.66
while the coupling degree in the area south (except Pingdu and Laizhou City) was mostly concentrated in the range of 0.40-0.66
forming a spatial pattern in which the intensity of water-salt interaction in the area north of Dongying District as a whole was greater than that in the area south. (4) The southern part of the study area was dominated by low coordination and medium coordination
while the northern part was dominated by higher coordination and high coordination. elevation
average temperature
average rainfall and NDVI had the strongest influence on the coordination of water-salt coupling
with correlation coefficients of 0.26
0.25
0.25 and 0.21 respectively. The results of the study can provide a theoretical basis for the rational development and utilization of saline soil resources in the Bohai Sea Plain region.
Wu D, Jia K L, Zhang X D, et al. Remote sensing inversion for simulation of soil salinization based on hyperspectral data and ground analysis in Yinchuan, China[J].Natural Resources Research,2021,30(6):4641-4656.
杨劲松,姚荣江,王相平,等.中国盐渍土研究:历程、现状与展望[J].土壤学报,2022,59(1):10-27.
高明秀,薛敏,王洪莹.环渤海盐碱地可持续利用路径决择与政策建议[J].中国人口·资源与环境,2016, 26(增刊2):228-231.
李振声,欧阳竹,刘小京,等.建设"渤海粮仓"的科学依据:需求、潜力和途径[J].中国科学院院刊,2011,26(4):371-374.
孙亚楠,李仙岳,史海滨,等.基于遥感的节水改造下河套灌区土壤盐渍化演变分析[J].农业机械学报, 2022,53(12):366-379.
李俊翰,高明秀.黄河三角洲滨海土壤盐渍化时空演化特征[J].土壤通报,2018,49(6):1458-1465.
王卓然,赵庚星,高明秀,等.黄河三角洲垦利县夏季土壤水盐空间变异及土壤盐分微域特征[J].生态学报, 2016,36(4):1040-1049.
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.
冯春晖,刘新路,纪文君,等.基于电磁感应技术的棉田土壤电导率时空异质性研究[J].土壤学报,2022,59(4):999-1011.
Song Y, Gao M X, Wang Z R, et al. Spatio-temporal variability characteristics of coastal soil salinization and its driving factors detection[J].Water,2022,14(20):e3326.
吴亚坤,刘广明,苏里坦,等.基于电磁感应研究新疆土壤盐分三维空间变异对季节的响应[J].农业工程学报,2017,33(14):173-178.
李洪义,史舟,唐惠丽.基于三维普通克立格方法的滨海盐土电导率三维空间变异研究[J].土壤学报,2010,47(2):359-363.
Chamaki S, Taghvaeian S, Zhang H L, et al. Soil salinity variations in an irrigation scheme during a period of extreme dry and wet cycles[J]. Soil Systems,2019,3(2):e35.
Nachshon U. Cropland soil salinization and associated hydrology: Trends, processes and examples[J]. Water,2018,10(8):e1030.
马贵仁,屈忠义,王丽萍,等.基于ArcGIS空间插值的河套灌区土壤水盐运移规律与地下水动态研究[J].水土保持学报,2021,35(4):208-216.
张术伟,王卓然,常春艳,等.黄三角濒海区土壤水盐时空分异特征及耦合关系分析[J].水土保持学报, 2022,36(4):299-308,315.
鲁如坤.土壤农业化学分析方法[M].北京:中国农业科技出版社,2000.
王遵亲,祝寿泉,俞仁培,等.中国盐渍土[M].北京:科学出版社,1993.
云安萍.西北绿洲典型盐渍土区土壤盐分的空间分布特征及淋盐需水量分析[D].北京:中国农业大学,2015.
刘崇刚,孙伟,张落成.长江三角洲碳排放与植被覆盖耦合协调时空格局及影响因素分析[J].地理科学,2023,43(1):142-151.
邝嫦娥,李文意,黄小丝.长江中游城市群碳排放强度与经济高质量发展耦合协调的时空演变及驱动因素[J].经济地理,2022,42(8):30-40.
Thiam S, Villamor G B, Kyei-Baffour N, et al. Soil salinity assessment and coping strategies in the coastal agricultural landscape in Djilor district, Senegal[J]. Land Use Policy,2019,88:e104191.
许婕,刘加珍,张天举,等.黄河口湿地柽柳灌丛土壤盐渍化特征[J].生态学报,2022,42(17):7118-7127.
黄静,赵庚星,奚雪,等.光谱与纹理信息结合的黄河三角洲土壤盐渍化信息提取:以垦利区为例[J]. 农业资源与环境学报,2022,39(3):594-601.
王卓然,赵庚星,高明秀,等.黄河三角洲典型地区春季土壤水盐空间分异特征研究:以垦利县为例[J].农业资源与环境学报,2015,32(2):154-161.
0
浏览量
880
下载量
1
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621