An integrated spatial mutli-objective analysis framework for water allocation in large irrigation districts

Cheng Wang; Hongmei Ye; Shanzhen Yi; Lijun Li

doi:10.1117/12.775497

10 November 2007 An integrated spatial multi-objective analysis framework for water allocation in large irrigation districts

Cheng Wang, Hongmei Ye, Shanzhen Yi, Lijun Li

Author Affiliations +

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67957A (2007) https://doi.org/10.1117/12.775497
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

With the economic development in the irrigation districts, water use conflicts have become more and more urgent, especially in the arid and semi-arid region. Water allocation of large-scale irrigation is a complex problem which should be economically efficient and environmentally considerable as well as socially fair, and has received considerable attention these years. However, these objectives are in conflict with one another in their spatial locations. The integration of spatial multi-objective analysis with GIS has a good potential in solving the spatial multi-objective problems. In this study, a spatial framework was formulated to integrate various spatial data and attribute data, based on which, water allocation model was developed according to the water system's characteristics and finally a user interface was developed to couple models and GIS.

Citation Download Citation

Cheng Wang, Hongmei Ye, Shanzhen Yi, and Lijun Li "An integrated spatial multi-objective analysis framework for water allocation in large irrigation districts", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67957A (10 November 2007); https://doi.org/10.1117/12.775497

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available