Stochastic programming approach in determining the best combination of water-saving irrigation technologies of an irrigated rice land system under limited water resources / (Record no. 2469)

MARC details
000 -LEADER
fixed length control field 02880nam a22003013a 4500
001 - CONTROL NUMBER
control field UPMIN-00004810102
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221123135908.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221123b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency UPMin
Modifying agency upmin
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
090 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LG993.5 2010
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) A64 B29
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bauto, Elaine Grace U.
245 ## - TITLE STATEMENT
Title Stochastic programming approach in determining the best combination of water-saving irrigation technologies of an irrigated rice land system under limited water resources /
Statement of responsibility, etc. Elaine Grace U. Bauto
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2010
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2010
520 3# - SUMMARY, ETC.
Summary, etc. Stochastic programming was used to decide which mix of water-saving irrigation technologies would resolve the 11.6% water scarcity in the Bayanihan Irrigation Association zone of Padada River Irrigation System during dry season. Water availability obtained a probabilistic nature and was considered to be random variable. The water-saving irrigation technologies were recommended by the International Rice Research Institute and these include the Alternative Wetting and Drying, Saturated Soil Culture, Raised Beds, and Aerobic Rice. These technologies contained properties which served as the factors in deciding whether the certain technology will suit the condition of the irrigated land. The objective of the model was to maximize the yield of the farm upon the use of the technology to all farm lots, and the water constraints. The pre-evaluation phase of the solution considered the mean water availability as the right-hand side values of the water constraints. Simulations for the values of the random variables were derived and the feasible values were considered to serve as the new right hand side values in the final solution phase. Almost all of the decision variables, both in the pre-evaluation and final solution phases, considered the use of the Alternate Wetting and Drying Technology to each farm lot, since both phases had the same optional solutions. When the water availability is reduced with at most 35% the model still had chosen AWD as the technology that best suits the situation of most of the farm lots in the whole zone. If reduction of water availability exceeded 35% the model became infeasible. Additional constraints were added in formulations two and three which enforced the use of a technology at least once, and equal number of times. The solutions suggest that AWD, the best performing technology, should be applied to large size lots in the system considered.
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Aerobic rice
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Alternate wetting and drying
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Raised beds
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Saturated soil culture
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Simulation
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Stochastic programming
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Main curriculum objective Undergraduate Thesis
Curriculum code AMAT200
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a Fi
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a UP
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Status Collection Home library Current library Shelving location Date acquired Source of acquisition Accession Number Total Checkouts Full call number Barcode Date last seen Koha item type
    Library of Congress Classification   Not For Loan Preservation Copy University Library University Library Archives and Records 2010-07-06 donation UAR-T-gd1569   LG993.5 2010 A64 B29 3UPML00033352 2022-10-05 Thesis
    Library of Congress Classification   Not For Loan Room-Use Only College of Science and Mathematics University Library General Reference 2010-05-13 donation CSM-T-gd2242   LG993.5 2010 A64 B29 3UPML00012576 2022-10-05 Thesis
 
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