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Development of predictive model for estimating carbon sequestration in mangrove forest filtration systems

หน่วยงาน จุฬาลงกรณ์มหาวิทยาลัย

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ชื่อเรื่อง : Development of predictive model for estimating carbon sequestration in mangrove forest filtration systems
นักวิจัย : Sureeporn Nipithwittaya
คำค้น : Sewage -- Purification -- Biological treatment , Forecasting -- Mathematical models , Mangrove forests , น้ำเสีย -- การบำบัด -- วิธีทางชีวภาพ , พยากรณ์ -- แบบจำลองทางคณิตศาสตร์ , ป่าชายเลน
หน่วยงาน : จุฬาลงกรณ์มหาวิทยาลัย
ผู้ร่วมงาน : Surat Bualert , Pantawat Sampanpanish , Chulalongkorn University. Graduate School
ปีพิมพ์ : 2554
อ้างอิง : http://cuir.car.chula.ac.th/handle/123456789/52651
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : -
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Thesis (Ph.D.)--Chulalongkorn University, 2011

Rate of carbon sequrestration in mangrove forest were examined in Mangrove forest filtration system pond within the King’s Royally Initiated Laem Phak Bia Environmental Research and Development Project that located in Laem Phak Bia Sub-distric, Ban Laem Distric, Petchaburi Province, Thailand. The study area was divided into two parts: 1) the study site; the mangrove forest filtration system was directly by municipal waste water. 2) the reference site; the natural mangrove forests were indirectly by municipal waste water. The 285 samples were taken. This research focuses on carbon sequestrations into three media: carbon in the sediment in term of sediment organic carbon, carbon in the water in term of total organic carbon and carbon in the mangrove trees in term above-ground biomass and develop the carbon sequestration modeling from these data by highly correlation. The result found that the average of SOC accumulation in the study site to a depth of 0-30 cm was estimated as 283.36 tons. From the reference site, the average of SOC accumulation was about 66.5 tons. The total area found the average of SOC accumulation was about 349.87 tons. The distribution pattern of SOC was assessed by the spatial distribution pattern of SOC concentration interpolated by Kriging method, indicated that the SOC sequestration rates in study site has obviously higher than reference site whereas in the Rhizophora mucronata specie area found the highest SOC sequestration. The annual average of TOC estimated 17.13 mg/l. The average of LAI values in study site were 11.94 and 21.85 and in reference site 7.34 and 0.38 in wet and dry seasons respectively, and the average of Above Ground Biomass in study site was 101.05 and 206.93 t ha-1 and in reference site was 67.68 and 2.5 t ha-1 in wet and dry season respectively. Above Ground Carbon in study site was 51.15 and 103.38 t ha-1 and in reference site was 33.84 and 1.24 t ha-1 in wet and dry season respectively, When we compare the average of above ground carbon between study and reference site found the study site have higher above ground carbon than reference site. The relationship between vegetation indices and above ground carbon is the highly correlation: NDVI versus AGC. The strongly correlation of the relation between the parameters and carbon sequestration is Carbon sequestration =0.0815 Organic carbon+0.0661 at R2 equal to 0.813

บรรณานุกรม :
Sureeporn Nipithwittaya . (2554). Development of predictive model for estimating carbon sequestration in mangrove forest filtration systems.
    กรุงเทพมหานคร : จุฬาลงกรณ์มหาวิทยาลัย.
Sureeporn Nipithwittaya . 2554. "Development of predictive model for estimating carbon sequestration in mangrove forest filtration systems".
    กรุงเทพมหานคร : จุฬาลงกรณ์มหาวิทยาลัย.
Sureeporn Nipithwittaya . "Development of predictive model for estimating carbon sequestration in mangrove forest filtration systems."
    กรุงเทพมหานคร : จุฬาลงกรณ์มหาวิทยาลัย, 2554. Print.
Sureeporn Nipithwittaya . Development of predictive model for estimating carbon sequestration in mangrove forest filtration systems. กรุงเทพมหานคร : จุฬาลงกรณ์มหาวิทยาลัย; 2554.