山东农业大学资源与环境学院土肥高效利用国家工程研究中心,山东,泰安,271018
[ "张术伟(1998—),女,硕士研究生,主要从事土地资源与信息研究。E-mail:zsw00019@163.com" ]
纸质出版:2022
移动端阅览
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.
ZHANG Shuwei, WANG Zhuoran, CHANG Chunyan, et al. Spatial-temporal Characteristics of Soil Water and Salt and Its Coupling Relationship in the Coastal Area of Yellow Triangle[J]. 2022, 36(4): 299-308.
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. DOI: 10.13870/j.cnki.stbcxb.2022.04.037.
ZHANG Shuwei, WANG Zhuoran, CHANG Chunyan, et al. Spatial-temporal Characteristics of Soil Water and Salt and Its Coupling Relationship in the Coastal Area of Yellow Triangle[J]. 2022, 36(4): 299-308. DOI: 10.13870/j.cnki.stbcxb.2022.04.037.
选择黄河三角洲代表区域垦利区和无棣县,将野外调查与室内分析得到的土壤表层水盐数据,按照季节、植被类型、与渤海距离进行归类,利用经典统计分析、耦合度模型、缓冲区分析、Origin三维关系分析等方法,分析研究区土壤表层(0—15 cm)水盐时空分异特征及其耦合关系。结果表明:研究区土壤水盐含量总体较高,含盐量以中度盐渍化为主,垦利土壤表层水盐含量整体高于无棣;不同季节土壤含水量排序为夏季>春季>秋季>冬季,土壤含盐量排序为春季>秋季>冬季>夏季,耦合度关系比较为春季>秋季>冬季>夏季;不同植被类型土壤含水量排序为荒草地>光板地>耕地>林地,土壤含盐量排序为光板地>荒草地>耕地>林地,耦合度关系比较为光板地>荒草地>耕地>林地;由近海到内陆,研究区土壤表层含水量、含盐量以及水盐耦合度呈现逐步递减的趋势,其中无棣变化趋势较为平缓,垦利土壤含盐量在距海40~50 km处上升,土壤含水量在距海30~40 km处明显上升,表层水盐耦合度也有所提高。研究结果为黄三角濒海区土壤资源的合理规划利用提供理论依据。
In this study
Kenli District and Wudi County
representative regions of the Yellow River Delta
were selected to classify the soil surface water and salt data obtained from field survey and indoor analysis according to seasons
vegetation types and the distance from Bohai Sea. Classical statistical analysis
coupling degree model
buffer zone analysis
origin three-dimensional relationship analysis and other methods were used. The spatial-temporal characteristics of water and salt in soil surface (0-15 cm) and its coupling relationship were analyzed. The results showed that the soil water and salt content was higher in the study area
and the salt content was mainly moderate salinization. The water and salt contents of soil surface in Kenli District was higher than those of Wudi. The order of soil water contents in different seasons was summer>spring>autumn>winter
and the order of soil salt contents was spring>autumn>winter>summer. The relationship of coupling degree was spring>autumn>winter>summer. The order of soil water contents of different vegetation types was waste grassland>bare land>cultivated land>forest land
the order of soil salt contents was bare land>waste grassland>cultivated land>forest land
and the order of coupling degree was bare land>waste grassland>cultivated land>forest land. From offshore to inland
soil surface water content
salt content and coupling degree of water and salt in the study area gradually decreased. The changing trend in Wudi County was gentle
while the salt content in Kenli District increased from 40 to 50 km to the sea
and the water content increased significantly from 30 to 40 km to the sea
and the coupling degree of surface water and salt also increased. These results provide a theoretical basis for the rational planning and utilization of soil resources in the coastal area of the Yellow River Delta.
解雪峰, 濮励杰, 沈洪运, 等.滨海重度盐碱地改良土壤盐渍化动态特征及预测[J/OL].土壤学报:1-13[2021-12-11].
Xie X F, Pu L J, Zhu M, et al. Linkage between soil salinization indicators and physicochemical properties in a long-term intensive agricultural coastal reclamation area, Eastern China[J].Journal of Soils and Sediments, 2019, 19:3699-3707.
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.
窦旭, 史海滨, 苗庆丰, 等.盐渍化灌区土壤水盐时空变异特征分析及地下水埋深对盐分的影响[J].水土保持学报, 2019, 33(3):246-253.
李光超.黄河三角洲土壤盐渍化研究综述[J].安徽农学通报, 2020, 26(增刊1):113-115.
Chamaki S N, Taghvaelan 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):35-50.
Jacopo D, Renato M, Carla S, et al. Spatial-temporal variability of soil moisture:Addressing the monitoring at the catchment scale[J].Journal of Hydrology, 2019, 570:436-444.
Naoki K, Katsuhide Y, Tadaharu I. Development of a practical model for predicting soil salinity in a salt marsh in the Arakawa River Estuary[J].Water, 2021, 13:e2054.
Kaman H, Cetin M, Kirda C. Spatial and temporal evaluation of depth and salinity of the groundwater in a large irragated area in southern Turkey[J].Pakistan Journal of Agricultural Sciences, 2016, 53(2):503-510.
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.
魏建涛, 张建新, 范文波, 等.犁底层深度对膜下滴灌土壤水盐运移影响的模拟研究[J].土壤通报, 2021, 52(4):845-853.
吕真真, 杨劲松, 刘广明.黄河三角洲土壤盐渍化与地下水特征关系研究[J].土壤学报, 2017, 54(6):1377-1385.
马贵仁, 屈忠义, 王丽萍.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.
由国栋, 虎胆·吐马尔白, 邵丽盼·卡尔江, 吴永涛, 李卓然.膜下滴灌棉田冻融期土壤水分盐分变化特征[J].干旱地区农业研究, 2017, 35(4):124-128.
赵亚楠, 周玉蓉, 王红梅.宁夏东部荒漠草原灌丛引入下土壤水分空间异质性[J].应用生态学报, 2018, 29(11):3577-3586.
周宏.现代汉语辞海[M].北京:光明日报出版社, 2003.
Valerie I. The Penguin Dictionary of Physics[M].Beijing:Foreign Language Press, 1996:92-93.
张子璇, 宋雨桐, 张惠中, 等.水文气候影响下黄河三角洲土壤盐分时空动态[J].应用生态学报, 2021, 32(4):1393-1405.
张素铭, 赵庚星, 王卓然, 等.滨海盐渍区土壤盐分遥感反演及动态监测[J].农业资源与环境学报, 2018, 35(4):349-358.
李萍.黄河三角洲土壤含水量状况的高光谱估测与遥感反演[D].山东泰安:山东农业大学, 2016.
王卓然.黄河三角洲典型地区土壤水盐动态规律、影响因素与预测模型[D]. 山东泰安:山东农业大学, 2017.
陈红艳, 赵庚星, 陈敬春, 等.基于改进植被指数的黄河口区盐渍土盐分遥感反演[J].农业工程学报, 2015, 31(5):107-112.
巩腾飞.盐碱地植被覆盖度与土壤盐分含量时空耦合关系研究[D].山东泰安:山东农业大学, 2016.
杨晓潇, 王秀兰, 王计平, 等.天津市滨海新区土壤水盐空间变异分析[J].中国水土保持科学, 2019, 17(3):39-47.
王卓然, 赵庚星, 高明秀, 姜曙千, 常春艳, 贾吉超.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.
杨强军, 范燕敏, 耿庆龙, 等.焉耆盆地耕地土壤盐分时空变化特征研究[J].新疆农业大学学报, 2020, 43(5):385-390.
王维维, 麦麦提吐尔逊·艾则孜, 艾提业古丽·热西提, 等.焉耆盆地农田耕层土壤盐分的空间变异及分布格局[J].干旱地区农业研究, 2019, 37(2):195-201.
李珊, 杨越超, 姚媛媛, 等.不同土地利用方式对山东滨海盐碱土理化性质的影响[J].土壤学报:2021, 59(4):1012-1024.
胡盈盈, 王瑞燕, 陈红艳, 等.黄河三角洲春秋两季土壤盐分遥感反演及时空变异研究[J].测绘与空间地理信息, 2018, 41(8):78-81.
孙亚楠, 李仙岳, 史海滨, 等.基于多源数据融合的盐分遥感反演与季节差异性研究[J].农业机械学报, 2020, 51(6):169-180.
0
浏览量
747
下载量
6
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621