Optimal Allocation of Agricultural Water Resources Based on Virtual Water Subdivision in Shiyang River Basin

Su, Xiaoling; Li, Jianfang; Singh, Vijay P.

doi:10.1007/s11269-014-0611-5

Cited by 72 publications

(43 citation statements)

References 16 publications

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“…The use of these performance indicators together with benchmarking techniques and data envelopment analysis has proved to be a good tool for improving the water management in irrigation districts (Malano et al 2004;Rodríguez et al 2004;Córcoles et al 2012;Ali and Klein 2014). Other recent studies have introduced the concept of Bvirtual water^and Bwater footprint^and have applied these concepts for water planning and allocation at a regional scale (Hoekstra and Chapagain 2007;Aldaya et al 2010;Montesinos et al 2011;Su et al 2014) The purpose of this study is to evaluate the irrigation water productivity in a greenhouse irrigation district in the southeast of Spain with increasing problems regarding the irrigation water availability and quality (The BCampo de Níjar^area). This research work tries to fill the gap of irrigation performance and productivity assessment studies in Mediterranean greenhouse districts as there are few previous studies regarding this issue.…”

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confidence: 99%

Water Productivity in a Mediterranean Semi-Arid Greenhouse District

Sánchez

Reca

Martínez

2015

Water Resour Manage

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An irrigation performance analysis has been carried out in a horticultural greenhouse area located in the BCampo de Níjar^(Southern Spain) in order to assess its irrigation productivity. Irrigation water productivity indicators were calculated for a wide sample of crops over the course of two different study periods. These productivity indices were similar in average to those reported in other nearby greenhouse irrigation districts although their variability was very high. The overall productivity ratio (CYR) was 73.9 %. The low values for CYR were expected as irrigation water in this area has high salinity levels and low irrigation leaching fractions were applied. The influence of type of crop, greenhouse technology and agricultural season in the CYR values was analyzed. None of these factors had a statistically significant influence. A multivariate regression analysis was performed to model the crop yield as a function of several quantitative variables. The results showed that the most significant variable was the relative irrigation supply (RIS). Other variables that had an influence of the productivity were the length of the growing cycle in the case of tomato and the number of greenhouses per farm in the case of watermelon. Results of this work are useful as they highlight the weaknesses of the system and suggest possible measures in order to improve its productivity and sustainability.

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confidence: 99%

Water Productivity in a Mediterranean Semi-Arid Greenhouse District

Sánchez

Reca

Martínez

2015

Water Resour Manage

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“…Table 2 shows the data of the irrigation requirement and effective precipitation for each studied crop in Hongyashan ID. The market prices come from "Agricultural Product Price Information Network of China", and per capita demand of each food refers to Su et al (2014) [43]. …”

Section: Parameter Determinationmentioning

confidence: 99%

Agricultural Water Productivity Oriented Water Resources Allocation Based on the Coordination of Multiple Factors

Zhao

Guo

et al. 2017

Water

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Agricultural water productivity (AWP), which is associated with multiple factors, is an important index for measuring the effectiveness of agricultural water management. The purpose of this study is to promote AWP through optimally allocating limited agricultural water resources with the coordination of related elements. Firstly, the coordination effects of multiple factors related to AWP are quantified as relative optimum membership degrees based on the fuzzy optimum selecting theory. Secondly, based on the relative optimum membership degrees for various crops, a linear fractional programming model is established to maximize AWP in agricultural water resources allocation. Thirdly, the impacts of the allocation schemes on the development of social-economy and ecological environment are discussed using the multi-dimensional regulation theory. The developed integrated system has advantages in increasing agricultural water productivity through the coordination of multiple factors with aspects of economy, society and resources. Moreover, the system is capable of screening schemes considering harmonious development of resources, economy, society and ecology based on optimization results, providing decision makers with more sustainable schemes for irrigation water allocation. The integrated system including the aforementioned three parts is applied to a real-world case study in China to demonstrate its feasibility and applicability. Different water allocation schemes for various crops under different scenarios were obtained. The average value of AWP is 1.85 kg/m 3 , which is 0.31 kg/m 3 higher than the current value of AWP. An optimum scheme with 1.1405 × 10 8 m 3 of water being allocated was also selected due to its highest level of coordination for resources, economy, society and ecology. The developed system can provide an effective method for AWP promotion. The obtained results can help local decision makers adjust water resources allocation schemes.

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“…Water consumption from agricultural irrigation accounts for approximately 90% of the total water consumption in this region [38]. Therefore, the optimal distribution of limited irrigation water and land resources is a key factor for agricultural development and sustainability [4,39]. The study area presents a higher terrain in the southeast and low in the northwest, and the elevation is between 1235 m and 3634 m. there is heterogeneity of biophysical and soil condition in this region.…”

Section: Study Areamentioning

confidence: 99%

“…Therefore, appropriate and efficient allocation of agricultural water and land resources has become necessary in regional agricultural sustainable development [4]. Agricultural land use allocation is the core issue of agricultural land and water resource allocation optimization [5,6].…”

Section: Introductionmentioning

confidence: 99%

Spatial Optimization of Agricultural Land Use Based on Cross-Entropy Method

Hao

Singh

et al. 2017

Entropy

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An integrated optimization model was developed for the spatial distribution of agricultural crops in order to efficiently utilize agricultural water and land resources simultaneously. The model is based on the spatial distribution of crop suitability, spatial distribution of population density, and agricultural land use data. Multi-source remote sensing data are combined with constraints of optimal crop area, which are obtained from agricultural cropping pattern optimization model. Using the middle reaches of the Heihe River basin as an example, the spatial distribution of maize and wheat were optimized by minimizing cross-entropy between crop distribution probabilities and desired but unknown distribution probabilities. Results showed that the area of maize should increase and the area of wheat should decrease in the study area compared with the situation in 2013. The comprehensive suitable area distribution of maize is approximately in accordance with the distribution in the present situation; however, the comprehensive suitable area distribution of wheat is not consistent with the distribution in the present situation. Through optimization, the high proportion of maize and wheat area was more concentrated than before. The maize area with more than 80% allocation concentrates on the south of the study area, and the wheat area with more than 30% allocation concentrates on the central part of the study area. The outcome of this study provides a scientific basis for farmers to select crops that are suitable in a particular area.

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Optimal Allocation of Agricultural Water Resources Based on Virtual Water Subdivision in Shiyang River Basin

Cited by 72 publications

References 16 publications

Water Productivity in a Mediterranean Semi-Arid Greenhouse District

Water Productivity in a Mediterranean Semi-Arid Greenhouse District

Agricultural Water Productivity Oriented Water Resources Allocation Based on the Coordination of Multiple Factors

Spatial Optimization of Agricultural Land Use Based on Cross-Entropy Method

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