Optimal spatial allocation of irrigation water under uncertainty using the bilayer nested optimisation algorithm and geospatial technology-Reference-Cited by-同舟云学术

Optimal spatial allocation of irrigation water under uncertainty using the bilayer nested optimisation algorithm and geospatial technology

Published:2016-05-04 Issue:12 Volume:30 Page:2462-2485
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Hou Jingwei¹²,Fan Xingang³,Liu Rentao⁴

Affiliation:

1. School of Resources and Environment, Ningxia University, Yinchuan, China

2. Ningxia Key Laboratory of Intelligent Sensing for Desert Information, Ningxia University, Yinchuan, China

3. Social Settlement, Ningxia University, Yinchuan, China

4. Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwestern China of Ministry of Education, Ningxia University, Yinchuan, China

Funder

the Key Natural Science Foundation of Ningxia

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2016.1181264

Reference58 articles.

1. Planning of Groundwater Supply Systems Subject to Uncertainty Using Stochastic Flow Reduced Models and Multi-Objective Evolutionary Optimization

2. Support of irrigation water use and eco-friendly decision process in agricultural production planning

3. Combining AHP with GIS for assessment of irrigation water quality in Çumra irrigation district (Konya), Central Anatolia, Turkey

4. A grey fuzzy multiobjective programming approach for the optimal planning of a reservoir watershed. Part B: Application

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