干旱区生态环境知识资源中心(Arid): Efficient allocation of agricultural land and water resources for soil environment protection using a mixed optimization-simulation approach under uncertainty

Arid

DOI	10.1016/j.geoderma.2019.06.023
	Efficient allocation of agricultural land and water resources for soil environment protection using a mixed optimization-simulation approach under uncertainty
	Li, Mo 1,2; Li, Jiang 3; Sing, Vijay P.4,5; Fu, Qiang 1,2; Li, Dong 1,2; Yang, Gaiqiang 6
通讯作者	Fu, Qiang
来源期刊	GEODERMA
ISSN	0016-7061
EISSN	1872-6259
出版年	2019
卷号	353 页码:55-69
英文摘要	This study proposes an optimization-simulation approach for simultaneously determining crop patterns and allocating irrigation water to improve soil environment. The approach incorporates an optimization model (a Chance-Constrained Programming (CCP) based multi-objective non-linear programming) integrated with a carbon footprint (CF) model and irrigation water use efficiency (IWUE) index, a soil water balance model and a groundwater dynamics model. The output of the optimization model constitutes the input to the soil water balance model which is calculated based on soil water content from soil samples representing the basin under study, and the resulting output is the input to the groundwater dynamics model. The output of the groundwater dynamics model is examined by whether the optimal results give rise to soil salinization. The proposed approach has advantages in addressing the tradeoffs of land and water resources for different crops in irrigation districts to reduce soil carbon emissions and improve land and water resources allocation efficiency, dynamically reflecting water transformation among precipitation, surface water, soil water and groundwater, and dealing with non-linearity and uncertainties. The approach was applied to identify optimal land and water resources allocation schemes in the oasis of Heihe River basin, northwest China. Results demonstrated that in the studied area, soil carbon emissions decreased and water use efficiency increased by the simultaneous allocation of the interactive agricultural land and water resources in space and time. Choosing the violation probabilities in the range of 0.05 and 0.1 might be more beneficial to the comprehensive benefits of the contradictory objectives (ie. reducing soil carbon emissions and increasing irrigation water use efficiency), because during this range the value of IWUE tended to be the largest and the value of CF was beginning to stabilize. From the perspective of spatial distribution, the value of CF showed an increasing trend from northwest to southeast, while the changes of groundwater table in the southern part were higher than in the northern part of the oasis. As the main limiting factor, increasing water availability led to an increase of cultivated land within a certain range, which significantly affected soil environment, leading to the necessity to contribute towards the efficient utilization of irrigation water resources and field activities to reduce soil pollution. Therefore, the proposed modelling framework can help to comprehensively manage agricultural land and water resources under complexity in an efficient and environmental-friendly way, and thus promote soil environment protection.
英文关键词	Agricultural land and irrigation water Soil carbon emissions Soil water balance Optimization-simulation Allocation efficiency Uncertainty
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E
WOS记录号	WOS:000482513900006
WOS关键词	SURFACE-WATER ; SUSTAINABLE IRRIGATION ; CONJUNCTIVE USE ; RIVER-BASIN ; MANAGEMENT ; MODEL ; GROUNDWATER ; FERTILIZER ; EMISSIONS ; NITROGEN
WOS类目	Soil Science
WOS研究方向	Agriculture
EI主题词	2019-11-01
来源机构	清华大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310624
作者单位	1.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Harbin 150030, Heilongjiang, Peoples R China; 2.Northeast Agr Univ, Key Lab Effect Utilizat Agr Water Resources, Minist Agr, Harbin 150030, Heilongjiang, Peoples R China; 3.Tsinghua Univ, State Key Lab Hydrosci & Engn, Dept Hydraul Engn, Beijing 100084, Peoples R China; 4.Texas A&M Univ, Dept Biol & Agr Engn, 321 Scoates Hall,2117 TAMU, College Stn, TX 77843 USA; 5.Texas A&M Univ, Zachry Dept Civil Engn, 321 Scoates Hall,2117 TAMU, College Stn, TX 77843 USA; 6.Taiyuan Univ Sci & Technol, Inst Environm Sci, Taiyuan 030024, Shanxi, Peoples R China
推荐引用方式 GB/T 7714	Li, Mo,Li, Jiang,Sing, Vijay P.,et al. Efficient allocation of agricultural land and water resources for soil environment protection using a mixed optimization-simulation approach under uncertainty[J]. 清华大学,2019,353:55-69.
APA	Li, Mo,Li, Jiang,Sing, Vijay P.,Fu, Qiang,Li, Dong,&Yang, Gaiqiang.(2019).Efficient allocation of agricultural land and water resources for soil environment protection using a mixed optimization-simulation approach under uncertainty.GEODERMA,353,55-69.
MLA	Li, Mo,et al."Efficient allocation of agricultural land and water resources for soil environment protection using a mixed optimization-simulation approach under uncertainty".GEODERMA 353(2019):55-69.