Landslides - Landslides frequently occur on mountain slopes due to earthquakes and rainfall. When a landslide occurs near a river, the landslide mass moves at a certain speed towards the river... 相似文献
This study establishes theoretical models of supply and demand for carbon trading and proposes conditions for optimal trading prices and periods. Taiwan’s carbon market is used to verify the validity of the models. Simulations and empirical analysis position firms that emit greenhouse gases as the market buyers, and landowners that convert agricultural lands into plantation forests as the market sellers. The study compares four trading scenarios to determine optimal trading prices and time periods. There were four key conclusions. First, the higher the buyer’s cost to reduce carbon emissions, the higher the demand price is in the carbon trading market. The longer the trading period, the higher the carbon offsets, and the higher the demand price is for emissions trading. Second, the higher the emission trading price, the longer the optimal forest rotation period is for landowners. If emission costs do not exist at the time of logging, landowners are encouraged to log early, reducing the length of rotation periods. Furthermore, as the extension period in the trading scenarios increases, landowners’ costs increase, raising the market equilibrium price. Third, when landowners participate in forest carbon trading mechanisms or carbon subsidy policies, they may not always lengthen forest rotation periods. Therefore, if and when the government implements these mechanisms or policies, it should consider the factors affecting the length of forest rotation period. Finally, to respond to international interest in reducing greenhouse gas emissions, the government should design separate carbon programs and trading mechanisms for different types of private landowners. This would strengthen incentives for participating in the afforestation program.
This study establishes theoretical models of supply and demand for carbon trading and proposes conditions for optimal trading prices and periods. Taiwan’s carbon market is used to verify the validity of the models. Simulations and empirical analysis position firms that emit greenhouse gases as the market buyers, and landowners that convert agricultural lands into plantation forests as the market sellers. The study compares four trading scenarios to determine optimal trading prices and time periods. There were four key conclusions. First, the higher the buyer’s cost to reduce carbon emissions, the higher the demand price is in the carbon trading market. The longer the trading period, the higher the carbon offsets, and the higher the demand price is for emissions trading. Second, the higher the emission trading price, the longer the optimal forest rotation period is for landowners. If emission costs do not exist at the time of logging, landowners are encouraged to log early, reducing the length of rotation periods. Furthermore, as the extension period in the trading scenarios increases, landowners’ costs increase, raising the market equilibrium price. Third, when landowners participate in forest carbon trading mechanisms or carbon subsidy policies, they may not always lengthen forest rotation periods. Therefore, if and when the government implements these mechanisms or policies, it should consider the factors affecting the length of forest rotation period. Finally, to respond to international interest in reducing greenhouse gas emissions, the government should design separate carbon programs and trading mechanisms for different types of private landowners. This would strengthen incentives for participating in the afforestation program. 相似文献
Typhoon Aere swept over Taiwan with heavy rain, which induced huge discharge in the Danshuei River in August 2004. The flood
in the Danshuei River intruded Sanchung through a culvert that was under construction. The deluge inundated thousands of premises
and resulted in severe damage. This study reconstructs the event scenario using hydrologic and hydraulic methods to analyse
the causes of the disaster. We integrated the radar rainfall estimations and rain gauge observations to recreate the temporal
and spatial varied precipitation inputs; estimated the influent volume from the culvert using hydrologic equations; and simulated
the flood dynamic within the study area during the event with a coupled overland and sewer flow model. The evidence showed
that both the rainfall and the culvert flow contributed similar flood volume to the study area, but culvert discharge concentrated
at single location within short time period such that the local drainage system could not cope with and notable damage was
incurred. 相似文献
The structural measure was the major solution for flood defense in Taiwan. However, the measure is always limited to the design
standard and cannot prevent the damages when floods exceed certain scale. Therefore, non-structural measures for flood mitigation
are the indispensable complements to structural solutions. The study introduces the establishment of inundation potential
database that provides required information for the non-structural measures in Taiwan. The database was built by numerical
simulations, based on different rainfall scenarios, and has been applied by the local governments of Taiwan for land use managements,
flood warning systems, emergency responses, and flood insurance programs to reduce the flood damages and impacts. 相似文献