19 research outputs found
Land Use Change and Recommendation for Sustainable Development of Peatland for Agriculture: Case Study at Kubu Raya and Pontianak Districts, West Kalimantan
Peatland is an increasingly important land resource for livelihood, economic development, and terrestrial carbon storage. Kubu Raya and Pontianak Districts of West Kalimantan rely their future agricultural development on this environmentally fragile peatland because of the dominance (58% and 16% area, respectively) of this land in the two districts. A study aimed to evaluate land use changes on peatland and to develop strategies for sustainable peatland use and management for agriculture. Time series satellite imageries of land use and land cover, ground truthing, and statistical data of land use change were analyzed for generating the dynamics of land use changes in the period of 1986-2008. Field observation, peat sampling, and peat analyses of representative land use types were undertaken to assess peat characteristics and its agricultural suitability. The study showed that within 22 years (1986-2008), the area of peat forests in Kubu Raya and Pontianak Districts decreased as much as 13.6% from 391,902 ha to 328,078 ha. The current uses of the peatland in the two districts include oil palm plantation (8704 ha), smallholder rubber plantation (13,186 ha), annual crops (15,035 ha), mixed cropping of trees and annual crops (22,328 ha), and pineapple farming (11,744 ha). Our evaluation showed unconformity of the current uses of peatland with regulations and crops agronomic requirements such as peat thickness and maturity, rendering unsustainability. This study recommends that expansion of agriculture and plantation on peatland areas be limited over idle land within the agricultural production and conversion production forest areas. About 34,362 ha (9.7%) of uncultivated log-over forest and shrubs can potentially be developed for agriculture. Peat soils with the thickness of >3 m should be allocated for conservation or forest protection due to low inherent soil fertility and high potential greenhouse gas emissions if converted for agriculture
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Development and demonstration of a Lagrangian dispersion modeling system for realātime prediction of smoke haze pollution from biomass burning in Southeast Asia
Abstract Transboundary smoke haze caused by biomass burning frequently causes extreme air pollution episodes in maritime and continental Southeast Asia. With millions of people being affected by this type of pollution every year, the task to introduce smoke haze related air quality forecasts is urgent. We investigate three severe haze episodes: June 2013 in Maritime SE Asia, induced by fires in central Sumatra, and March/April 2013 and 2014 on mainland SE Asia. Based on comparisons with surface measurements of PM10 we demonstrate that the combination of the Lagrangian dispersion model NAME with emissions derived from satelliteābased activeāfire detection provides reliable forecasts for the region. Contrasting two fire emission inventories shows that using algorithms to account for fire pixel obscuration by cloud or haze better captures the temporal variations and observed persistence of local pollution levels. Including upātoādate representations of fuel types in the area and using better conversion and emission factors is found to more accurately represent local concentration magnitudes, particularly for peat fires. With both emission inventories the overall spatial and temporal evolution of the haze events is captured qualitatively, with some error attributed to the resolution of the meteorological data driving the dispersion process. In order to arrive at a quantitative agreement with local PM10 levels, the simulation results need to be scaled. Considering the requirements of operational forecasts, we introduce a realātime bias correction technique to the modeling system to address systematic and random modeling errors, which successfully improves the results in terms of reduced normalized mean biases and fractional gross errors
Pemanfaatan teknologi penginderaan jauh/Citra satelit untuk identifikasi dan deliniasi lahan kritis di daerah lahan kering berlereng- Sumatera Barat
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