Crop acreage planning for economy- resource- efficiency coordination: Grey information entropy based uncertain model
Reasonable adjustment of crop acreage can improve the sustainability of agriculture in arid zones by promoting economic development, alleviating water scarcity, and improving resource utilization efficiency but meets the challenges of various decision-maker preferences and uncertainties. With the ob...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Agricultural Water Management |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377423004225 |
| _version_ | 1797637685318254592 |
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| author | Hui Wu Xiaojuan Li Hongna Lu Ling Tong Shaozhong Kang |
| author_facet | Hui Wu Xiaojuan Li Hongna Lu Ling Tong Shaozhong Kang |
| author_sort | Hui Wu |
| collection | DOAJ |
| description | Reasonable adjustment of crop acreage can improve the sustainability of agriculture in arid zones by promoting economic development, alleviating water scarcity, and improving resource utilization efficiency but meets the challenges of various decision-maker preferences and uncertainties. With the objectives of maximizing economic benefits, minimizing evapotranspiration, and maximizing water productivity and water production efficiency, this study developed a grey entropy based multi-objective fuzzy constraint interval programming model (GEMOFCIP) through incorporation of information entropy technology, fuzzy constraints and interval programming approaches within a general optimization framework. The model is capable of (1) generating the crop acreage management schemes through trading off the different development goals; (2) dealing with the structure and parameter uncertainties of the optimization model; (3) measuring the relative importance of multiple objectives by the introduction of information entropy with the insufficient decision-maker’s preference information. Taking the crop acreage planning problem in Liangzhou, northwest China as a case study, the model was solved under different water-saving and satisfaction degree scenarios. It turned out that, after optimization, the economic benefit, water productivity and water production efficiency have been significantly improved, while the total ET and the total irrigation water have been significantly compressed in the study area. The GEMOFCIP model is superior to the previous models in that it takes into account the randomness of the relative importance of system objective, the vagueness of system constraints and the fluctuations of system coefficients, which would make the model more reasonable, stable and objective. Optimal results can help manage crop pattern with the economy-resource-efficiency consideration and accelerate the healthy development of agriculture in arid zones. |
| first_indexed | 2024-03-11T12:51:54Z |
| format | Article |
| id | doaj.art-bae2c1c8992e4effb16c4c69adf936cc |
| institution | Directory Open Access Journal |
| issn | 1873-2283 |
| language | English |
| last_indexed | 2024-03-11T12:51:54Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj.art-bae2c1c8992e4effb16c4c69adf936cc2023-11-04T04:17:23ZengElsevierAgricultural Water Management1873-22832023-11-01289108557Crop acreage planning for economy- resource- efficiency coordination: Grey information entropy based uncertain modelHui Wu0Xiaojuan Li1Hongna Lu2Ling Tong3Shaozhong Kang4State Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture, Wuwei 733009, China; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, ChinaState Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture, Wuwei 733009, China; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; Corresponding author at: State Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing 100083, China.State Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture, Wuwei 733009, China; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, ChinaState Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture, Wuwei 733009, China; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, ChinaState Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture, Wuwei 733009, China; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, ChinaReasonable adjustment of crop acreage can improve the sustainability of agriculture in arid zones by promoting economic development, alleviating water scarcity, and improving resource utilization efficiency but meets the challenges of various decision-maker preferences and uncertainties. With the objectives of maximizing economic benefits, minimizing evapotranspiration, and maximizing water productivity and water production efficiency, this study developed a grey entropy based multi-objective fuzzy constraint interval programming model (GEMOFCIP) through incorporation of information entropy technology, fuzzy constraints and interval programming approaches within a general optimization framework. The model is capable of (1) generating the crop acreage management schemes through trading off the different development goals; (2) dealing with the structure and parameter uncertainties of the optimization model; (3) measuring the relative importance of multiple objectives by the introduction of information entropy with the insufficient decision-maker’s preference information. Taking the crop acreage planning problem in Liangzhou, northwest China as a case study, the model was solved under different water-saving and satisfaction degree scenarios. It turned out that, after optimization, the economic benefit, water productivity and water production efficiency have been significantly improved, while the total ET and the total irrigation water have been significantly compressed in the study area. The GEMOFCIP model is superior to the previous models in that it takes into account the randomness of the relative importance of system objective, the vagueness of system constraints and the fluctuations of system coefficients, which would make the model more reasonable, stable and objective. Optimal results can help manage crop pattern with the economy-resource-efficiency consideration and accelerate the healthy development of agriculture in arid zones.http://www.sciencedirect.com/science/article/pii/S0378377423004225Multi-objective optimization modelCrop acreage planningInformation entropyUncertainty |
| spellingShingle | Hui Wu Xiaojuan Li Hongna Lu Ling Tong Shaozhong Kang Crop acreage planning for economy- resource- efficiency coordination: Grey information entropy based uncertain model Agricultural Water Management Multi-objective optimization model Crop acreage planning Information entropy Uncertainty |
| title | Crop acreage planning for economy- resource- efficiency coordination: Grey information entropy based uncertain model |
| title_full | Crop acreage planning for economy- resource- efficiency coordination: Grey information entropy based uncertain model |
| title_fullStr | Crop acreage planning for economy- resource- efficiency coordination: Grey information entropy based uncertain model |
| title_full_unstemmed | Crop acreage planning for economy- resource- efficiency coordination: Grey information entropy based uncertain model |
| title_short | Crop acreage planning for economy- resource- efficiency coordination: Grey information entropy based uncertain model |
| title_sort | crop acreage planning for economy resource efficiency coordination grey information entropy based uncertain model |
| topic | Multi-objective optimization model Crop acreage planning Information entropy Uncertainty |
| url | http://www.sciencedirect.com/science/article/pii/S0378377423004225 |
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