A conceptual framework of agricultural land use planning with BMP for integrated watershed management
» :: A conceptual framework of agricultural land use planning with BMP for integrated watershed management
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a b s t r a c t
Land use planning is an important element of the integrated watershed management approach. It not
only influences the environmental processes such as soil and stream bed erosion, sediment and nutrient
concentrations in streams, quality of surface and ground waters in a watershed, but also affects social and
economic development in that region. Although its importance in achieving sustainable development
has long been recognized, a land use planning methodology based on a systems approach involving
realistic computational modeling and meta-heuristic optimization is still lacking in the current practice
of integrated watershed management. The present study proposes a new approach which attempts to
combine computational modeling of upland watershed processes, fluvial processes and modern heuristic
optimization techniques to address the water-land use interrelationship in its full complexity. The best
land use allocation is decided by a multi-objective function that minimizes sediment yields and nutrient
concentrations as well as the total operation/implementation cost, while the water quality and the
production benefits from agricultural exploitation are maximized. The proposed optimization strategy
considers also the preferences of land owners. The runoff model AnnAGNPS (developed by USDA), and
the channel network model CCHE1D (developed by NCCHE), are linked together to simulate sediment/
pollutant transport process at watershed scale based on any assigned land use combination. The greedy
randomized adaptive Tabu search heuristic is used to flip the land use options for finding an optimum
combination of land use allocations. The approach is demonstrated by applying it to a demonstrative case
study involving USDA Goodwin Creek experimental watershed located in northern Mississippi. The
results show the improvement of the tradeoff between benefits and costs for the watershed, after
implementing the proposed optimal land use planning.
Land use planning is an important element of the integrated watershed management approach. It not
only influences the environmental processes such as soil and stream bed erosion, sediment and nutrient
concentrations in streams, quality of surface and ground waters in a watershed, but also affects social and
economic development in that region. Although its importance in achieving sustainable development
has long been recognized, a land use planning methodology based on a systems approach involving
realistic computational modeling and meta-heuristic optimization is still lacking in the current practice
of integrated watershed management. The present study proposes a new approach which attempts to
combine computational modeling of upland watershed processes, fluvial processes and modern heuristic
optimization techniques to address the water-land use interrelationship in its full complexity. The best
land use allocation is decided by a multi-objective function that minimizes sediment yields and nutrient
concentrations as well as the total operation/implementation cost, while the water quality and the
production benefits from agricultural exploitation are maximized. The proposed optimization strategy
considers also the preferences of land owners. The runoff model AnnAGNPS (developed by USDA), and
the channel network model CCHE1D (developed by NCCHE), are linked together to simulate sediment/
pollutant transport process at watershed scale based on any assigned land use combination. The greedy
randomized adaptive Tabu search heuristic is used to flip the land use options for finding an optimum
combination of land use allocations. The approach is demonstrated by applying it to a demonstrative case
study involving USDA Goodwin Creek experimental watershed located in northern Mississippi. The
results show the improvement of the tradeoff between benefits and costs for the watershed, after
implementing the proposed optimal land use planning.
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۱۳۹۴/۰۶/۲۲
پروژه , دانلود , کامپیوتر , مقاله , زیست محیطی
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A conceptual framework of agricultural land use planning with BMP ...
https://www.researchgate.net/.../46412928_A_conceptual_framework_of_agricultural_land_use_planning_with_BMP_for_integrated_watershed_...SimilarLand use planning is an important element of the integrated watershed
management approach. It not only influences the environmental processes such
as soil ...
A conceptual framework of agricultural land use planning with BMP ...
www.ncbi.nlm.nih.gov/pubmed/20863609Similar22 Sep 2010 ... A conceptual framework of agricultural land use planning with BMP for ... element
of the integrated watershed management approach.
A conceptual framework of agricultural land use planning with BMP ...
www.academia.edu/.../A_conceptual_framework_of_agricultural_land_use_planning_with_BMP_for_integrated_watershed_managementCachedA conceptual framework of agricultural land use planning with BMP for integrated
watershed management. Honghai Qi. Added by. Honghai Qi. URL.
A conceptual framework of agricultural land use planning with BMP ...
zepo.stu1.ir/a-conceptual-framework-of-agricultural-land-use-planning-with-bmp-for-integrated-watershed-management/Cached21 فوریه 2016 ... a b s t r a c t. Land use planning is an important element of the integrated
watershed management approach. It not only influences the ...
Honghai Qi - Google Scholar Citations
scholar.google.com/citations?user=n5DXSqwAAAAJ&hl=enCachedParsons Brinckerhoff - The University of Mississippi - pbworld.com
A Conceptual Framework of Agricultural Land Use Planning with BMP for
Integrated Watershed Management. H Qi, MS Altinakar. Journal of Environmental
...
Spatially-Distributed Cost–Effectiveness Analysis Framework to ...
journals.plos.org/plosone/article?id=10.1371/journal.pone...Cached27 Aug 2015 ... A conceptual framework of agricultural land use planning with BMP for integrated
watershed management. Journal of environmental ...
[PDF] Metaheuristics for agricultural land use optimization. A review
www.cs.bham.ac.uk/~xin/papers/LandUseReview.pdfCached
SimilarAgricultural land use allocation, which is a particular case of land use allocation,
consists of ..... main ideas and basic concepts of these metaheuristics are pre-
sented in the following ..... of agricultural land use in the framework of integrated
water- ...... use planning with BMP for integrated watershed management. J.
Environ ...
Application of Scenario Analysis and Multiagent Technique in Land ...
www.hindawi.com/journals/tswj/2013/219782/Cached
Similar15 May 2013 ... The study presented a theoretical framework of land-use planning based on
scenario ... and agriculture cultivation, which have an important influence on the
... a new needs analysis method for the conceptual land-use planning of ...... land
use planning with BMP for integrated watershed management,” ...
Application of Scenario Analysis and Multiagent Technique in Land ...
www.hindawi.com/journals/tswj/2013/219782/ref/Cached15 May 2013 ... ... an integrated land-cover-based assessment of ecosystem services .... “A
conceptual framework of agricultural land use planning with BMP for integrated
watershed management,” Journal of Environmental Management, vol.
[PDF] DEVELOPMENT OF A DECISION-SUPPORT FRAMEWORK ... - EPA
https://cfpub.epa.gov/si/si_public_file_download.cfm?p...id...Cachedstrategic locations in mixed land use urban watersheds. ... management decision
-support framework (ISMDSF) is to be based on a ... system (GIS) watershed/BMP
database, cost, and hydrologic, hydraulic, and ... sites are typically 10 to 20 times
that of agricultural lands, with runoff rates .... While most engineering plans.