Oasis microclimate effects under different weather events in arid or hyper arid regions: a case analysis in southern Taklimakan desert and implication for maintaining oasis sustainability

Xue, Jie; GUI, Dongwei; Lei, Jiaqiang; Sun, Huaiwei; Zeng, Fanjiang; Mao, Donglei; Zhang, Zhiwei; Jin, Qingjun; Liu, Yi

doi:10.1007/s00704-018-2567-5

Cited by 25 publications

(14 citation statements)

References 34 publications

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“…The distribution characteristics indicate that the soil moisture has significant spatial heterogeneity in the oasis area. This phenomenon may be caused by oasis microclimate [58]. For the surface layer (0-20 cm) (Figure 4a), an area with high soil moisture is observed in the north.…”

Section: Layered Soil Moisture Characteristicsmentioning

confidence: 95%

Influencing Factors of the Spatial–Temporal Variation of Layered Soils and Sediments Moistures and Infiltration Characteristics under Irrigation in a Desert Oasis by Deterministic Spatial Interpolation Methods

Zhang

et al. 2019

Water

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Soil moisture is the main limiting factor for crop growth and the sustainable development of oases in arid desert areas. Therefore, the temporal and spatial variation and infiltration laws of oasis soil moisture should be studied. The objective of this study is to reveal the influencing factors of the spatial-temporal variation of layered soil and sediment moisture and infiltration characteristics under irrigation in desert oases. Hydraulic conductivities were measured using the double-ring infiltrometer, while the regional and site soil moistures were measured and calibrated using weighted method and neutron moisture meter. Deterministic spatial interpolation methods, including multiquadric radial basis function, inverse distance weighted, and local polynomial regression isogram, were adopted to map the regional distribution of hydraulic conductivities, spatial soil moistures, and spatial-temporal isogram of the point site soil moistures in Yaoba Oasis, respectively. Results showed that the leading influencing factors of the (1) regional spatial soil moisture were soil and sediment permeability, stream link direction, microclimate, and dewfalls; (2) spatial layered soil and sediment moistures were microclimate and dew condensation; and (3) spatial-temporal variation at the point site profiles were soil texture, water requirement, and preferential flow. Under irrigation, soil moisture increased significantly, in which the maximum increase was 10.8 times the original state, while the recharging depth substantially increased up to 580 cm with the preferential flow. The spatial-temporal variation of the soil moisture under irrigation indicated that the best irrigation frequency should be 15 days per time. Moreover, the infiltration process can be divided into the preferential flow, piston flow, and balanced infiltration stages.

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Section: Layered Soil Moisture Characteristicsmentioning

confidence: 95%

Influencing Factors of the Spatial–Temporal Variation of Layered Soils and Sediments Moistures and Infiltration Characteristics under Irrigation in a Desert Oasis by Deterministic Spatial Interpolation Methods

Zhang

et al. 2019

Water

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“…It is characterized by extremely low precipitation (39 mm/year), strong evaporation (2700 mm/year), and highly vulnerable ecosystems [32]. The Cele Oasis is primarily supplied with water from the Cele River, which originates from the Kunlun Mountains, flows through the Cele Oasis area, and finally discharges into the extremely arid Taklimakan Desert [33]. Agriculture is the primary industry in the area and accounts for 44.1% of the economy in Cele County.…”

Section: Study Areamentioning

confidence: 99%

A Mixed Integer Linear Programming Method for Optimizing Layout of Irrigated Pumping Well in Oasis

Wang

Liu

et al. 2019

Water

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Optimization of irrigation well layout plays a vital role in the rational utilization of groundwater and to balance the water-energy nexus, especially in arid irrigation districts. This study proposes the mixed integer linear programming model (MILP) for well layout optimization with minimum well irrigation costs. This model efficiently establishes a link between irrigation area and wells to express the constraints of ensuring that irrigation area can be covered with optimal wells by using grid points to represent the irrigation area. It also uses the special ordered sets (SOS) modeling tool to decompose the mixed integer nonlinear programming into a mixed integer linear programming by assigning SOS-constrained weights to discrete points of a nonlinear function. This method was used in Cele Oasis of the Tarim Basin of the Xinjiang Province, an arid region in northwestern China. Since the original well layout was already established, different economic criteria like implicit cost and explicit cost were considered and two optimization results were yielded. The results showed that (1) the implicit cost optimization (ICO) and explicit cost optimization (ECO) reduced total costs by 7.64% and 3.56% compared with the condition of without optimization; and (2) the ICO and ECO reduced the optimal number of wells by 52.89% and 10.74% compared with the existing number of wells. Based on the analysis of the results, it is suggested that the manager should close uneconomical wells after determining the economic criteria. This method for well layout optimization can assist managers to make more rational plans for irrigation systems to exploit groundwater more efficiently, economically, and in a more environmentally friendly manner.

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“…[4] Source: Gansu Provincial Water Conservancy Department [28]. [5] Virtual water net outflow = virtual water outflow − virtual water inflow.…”

Section: Data Usedmentioning

confidence: 99%

“…Efforts to reduce water use in agriculture have intensified as other sectors have increased their demand for water. The virtual water transfers (VWTs) associated with the food trade save~6% of the water used in agriculture [4], and it is therefore interesting to explore VWTs in arid regions where there is increasing concern about the sustainability of water resources [5] and the expansion of agricultural land [6].…”

Section: Introductionmentioning

confidence: 99%

Inter-Regional Coordination to Improve Equality in the Agricultural Virtual Water Trade

et al. 2018

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Sustainable agriculture in China is threatened by rapid socioeconomic development, urbanization, and climate change. In addition, the distribution of freshwater resources between regions is highly unequal, and water shortages are common in arid regions. The virtual water trade can help to ease water shortages in arid areas by utilizing the comparative advantage of water resources in other areas. However, sometimes the patterns of the virtual water trade do not fit the distribution of water resources and, in these instances, inter-regional coordination would help to improve the level of equality in the virtual water trade. We combined the concept of the Gini coefficient with a multi-objective optimization model to investigate the inter-regional coordination of the virtual water trade in an arid region of China. Agricultural data from different regions of Gansu Province in 2014 were used to explore methods of improving the equality of virtual water flow patterns in the agricultural sector. Three constraints (a crop supply constraint, an irrigation water constraint, and an economic benefit constraint) were set up to investigate the relationship between different challenges and the effects of inter-regional coordination. Our results validated the use of the proposed method in Gansu Province and indicated that it could be applied to other arid regions. Variations in crop supply, irrigation water, and economic benefits were found among the different constraint scenarios, illustrating the trade-offs between water-saving and agricultural objectives. Our results also showed the balance between various factors, including the equality of the virtual water patterns, water-saving measures, and economic benefits. These results support the effectiveness of inter-regional coordination and indicate that the improvement in equality and the adjustment cost should be balanced. Our findings will help to guide the planning of local crop acreages to achieve the best virtual water balance model between regions.

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Oasis microclimate effects under different weather events in arid or hyper arid regions: a case analysis in southern Taklimakan desert and implication for maintaining oasis sustainability

Cited by 25 publications

References 34 publications

Influencing Factors of the Spatial–Temporal Variation of Layered Soils and Sediments Moistures and Infiltration Characteristics under Irrigation in a Desert Oasis by Deterministic Spatial Interpolation Methods

Influencing Factors of the Spatial–Temporal Variation of Layered Soils and Sediments Moistures and Infiltration Characteristics under Irrigation in a Desert Oasis by Deterministic Spatial Interpolation Methods

A Mixed Integer Linear Programming Method for Optimizing Layout of Irrigated Pumping Well in Oasis

Inter-Regional Coordination to Improve Equality in the Agricultural Virtual Water Trade

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