Arid
DOI10.1016/j.compag.2018.12.005
Modelling long-term soil salinity dynamics using SaltMod in Hetao Irrigation District, China
Chang, Xiaomin; Gao, Zhanyi; Wang, Shaoli1; Chen, Haorui
通讯作者Wang, Shaoli
来源期刊COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN0168-1699
EISSN1872-7107
出版年2019
卷号156页码:447-458
英文摘要Soil salinity is considered the most serious factor that limits food security and sustainable development of irrigated agriculture productivity, especially in arid and semi-arid regions. Irrigation and drainage management play a critical role in soil water dynamics, soil desalinization, and crop growth and yield. This study was conducted to determine the changes caused by salinization on cultivated lands and salt wastelands in the long term given the present irrigation and drainage practices and under the different water management scenarios. Moreover, this study was aimed at developing appropriate management strategies to decrease the salt accumulation based on long-term simulation results. A SaltMod model was calibrated and validated using data from 2010 to 2016. Leaching efficiencies of F-lr = 0.85 and F-lx, = 0.65 in the root and transition zones and natural drainage of 0.10 m/year were determined, thereby providing the optimal match between the observed and simulated values. Prediction results showed that the salinity of the cultivated land would exhibit slight decrease in the next 10 years under the current irrigation and drainage conditions. The proposed irrigation schemes were analyzed to improve the soil desalination effect in the long-term. Results indicated that autumn irrigation water was increased by approximately 10%-20%, and summer irrigation water was decreased by approximately 15% in the prospective 10 years (2016-2026) based on the present irrigation conditions. Furthermore, the soil salinity will decrease by approximately 1.06%-10.92%, and the total irrigation water will decrease by approximately 50-295 m3/ha, thereby possibly contributing to improved water saving and soil desalination.
英文关键词SaltMod model Soil salinity Cultivated land and salt wasteland Scenario simulation Calibration and validation parameters
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000456754100043
WOS关键词ROOT-ZONE SALINITY ; WATER-USE ; PARAMETER-ESTIMATION ; INTEGRATED SALT ; SPRING WHEAT ; FIELD SOIL ; MANAGEMENT ; GROUNDWATER ; BALANCE ; VALIDATION
WOS类目Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS研究方向Agriculture ; Computer Science
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/214962
作者单位1.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China;
2.China Inst Water Resources & Hydropower Res, Dept Irrigat & Drainage, Beijing 100048, Peoples R China;
3.Natl Ctr Efficient Irrigat Engn & Technol Res, Beijing 10004B, Peoples R China
推荐引用方式
GB/T 7714
Chang, Xiaomin,Gao, Zhanyi,Wang, Shaoli,et al. Modelling long-term soil salinity dynamics using SaltMod in Hetao Irrigation District, China[J],2019,156:447-458.
APA Chang, Xiaomin,Gao, Zhanyi,Wang, Shaoli,&Chen, Haorui.(2019).Modelling long-term soil salinity dynamics using SaltMod in Hetao Irrigation District, China.COMPUTERS AND ELECTRONICS IN AGRICULTURE,156,447-458.
MLA Chang, Xiaomin,et al."Modelling long-term soil salinity dynamics using SaltMod in Hetao Irrigation District, China".COMPUTERS AND ELECTRONICS IN AGRICULTURE 156(2019):447-458.
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