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                  โครงการหนังสออเล็กทรอนกสด้านการเกษตร เฉลมพระเกียรตพระบาทสมเด็จพระเจ้าอยู่หัว
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                               International Seminar on Biodiversity and Sustainable Development in the Mekong River Basin   42

               5.3 % for the high RCP 8.5 scenario. In Lam Dong, the rainfall increases by 3.9 % for the RCP 4.5
               scenario and 4.7 % for the high RCP 8.5 scenario In Dak Nong, the rainfall increases by 6.5% for
               the RCP 4.5 scenario and 5.0 % for the RCP 4.5 scenario. With high scenario RCP 8.5 (NAWAPI).
                       According to the rain forecast table of meteorological stations in Gia Lai, Dak Lak, Dak
               Nong and Lam Dong provinces in the SRB, the rainfall in summer and autumn mostly tends to
               increase compared to the scenario. 1986 - 2005, especially the later periods tend to increase more
               than the previous ones. In contrast, in winter, the rainfall in the period 2016 - 2035 decreased
               compared to the period 1986 - 2005. However, the following periods are predicted to tend to
               increase compared to the background period 1986 - 2005 (NAWAPI). The direct and indirect
               impacts of CC on water resources in the SRB will likely lead to scarcity of surface water in the
               dry season. Due to the lack of additional water  sources, groundwater will be reduced in both
               quantity and quality. In contrast, an excess of surface water in the rainy season will cause flooding,
               surface erosion, and adverse effects on surface and groundwater quality (NAWAPI). In Gia Lai in
               the dry season in recent years, most of the dams in the province have dried up, making production
               and daily life extremely difficult. From October to the end of March every year, although the local
               government always tries to pump water for trees, communes in the province still lack water in
               many places. In fact, even the communes along the Ba river still lack water for many months of
               the year. Many areas planted with coffee trees do not have enough water to irrigate, leading to the
               trees withering and the people unable to save their property due to the lack of a reserve water
               source.


               Materials and methods
                       The  Fuzzy  AHP  method  is  used  throughout  the  study  to  assess  the  environmental
               sustainability of irrigation water in the SRB in the context of CC. First, Fuzzy AHP is used to
               design, from expert consultation to set up pairwise comparison matrices in the criteria, indicators
               within the same criteria based on the questionnaire. Then analyze the consistency by analyzing
               and checking the consistency of the matrices. Once the pairwise comparison matrix is consistent,
               continue to calculate the relative weights of the components in the stable hierarchy using Fuzzy
               AHP, thereby determining the overall weight of these components.
                       After  synthesizing  and  analyzing  information  from  sources,  proceed  to  build  a  set  of
               criteria and indicators based on the existing status quo and arrange them in the form of a stable
               hierarchical tree. The components of the hierarchical tree need to be clearly defined from the
               highest level to the lowest level in order to concretize the common goal: sustainability criteria (SC)
               and sustainability indicator (SI) in each respective SC.
                       Using the Fuzzy method AHP consults experts on pairwise comparisons between system
               components on the same level and establishes reciprocal pairwise comparison matrices (IRCMs).
               This can be done in the form of a questionnaire-based interview.
                       Fuzzy triangular transformation scale proposed by Chang (1996) with 5 linguistic variables
               and the corresponding fuzzy triangle reciprocal scale is shown in Table 1. Equal ratings indicate
               that the two attributes are equally important. A weak rating indicates that one attribute is slightly
               more important than another. Strong ratings indicate that one attribute is more important than the
               other. Very strong ratings indicate that one attribute is more important than the other. Absolutely
               strong  ratings  indicate  that  one  attribute  is  completely  more  important  than  the  other.  Each
               language rating is given a corresponding fuzzy performance and corresponding fuzzy performance
               based on the following rule:


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