Research on the Allocation in the Complex Adaptive System of Agricultural Land and Water Resources of the Sanjiang Plain - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2015

Research on the Allocation in the Complex Adaptive System of Agricultural Land and Water Resources of the Sanjiang Plain

Abstract

As for the improper water and land use structure and difficulty in bringing the system into maximum performance, this research takes the Sanjiang Branch of Heilongjiang Land Reclamation Bureau as an example and uses the concept of complex adaptive system to build an allocation model of the complex adaptive system of agricultural land and water resources of the Sanjiang Plain and to make evolution analysis of optimized allocation of agricultural land and water resources under different groundwater exploitation plans. This research shows that: with the increased exploitation of groundwater, the agricultural production value and the grain yield have increased; the ecological area has decreased within a certain range; with the increased restriction in groundwater exploitation year by year, the efficiently-used land area will decrease, resulting in a lot of land not being effectively utilized and seriously hindering the coupling between the regional water and land resources and the local economy development.
Fichier principal
Vignette du fichier
978-3-319-19620-6_13_Chapter.pdf (289.73 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01420220 , version 1 (20-12-2016)

Licence

Attribution

Identifiers

Cite

Qiang Fu, Tienan Li, Tianxiao Li. Research on the Allocation in the Complex Adaptive System of Agricultural Land and Water Resources of the Sanjiang Plain. 8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. pp.99-106, ⟨10.1007/978-3-319-19620-6_13⟩. ⟨hal-01420220⟩
50 View
64 Download

Altmetric

Share

Gmail Facebook X LinkedIn More