The diffusion of electric vehicles (EV s) is affected by the spread of EV public charging stations (PCSs) and vice versa. Their interactions are often referred to as 'indirect network effects' and analyzed wit...
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Northeastern(NE) Thailand is well recognized as the land for rice cropping and consequently, it is potentially contaminated with chemicals from soil fertilization, pest/weed control, and urban *** Mun River basin in N...
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Northeastern(NE) Thailand is well recognized as the land for rice cropping and consequently, it is potentially contaminated with chemicals from soil fertilization, pest/weed control, and urban *** Mun River basin in NE Thailand principally is comprised of rice paddies and sedimentation in the river has been pronounced, but the studies on sediment source identification are limited. The current study aims to identify sediment sources in the Mun River basin and discuss possible impacts on ecosystems attributed to exposure to polluted sediment. The assessment relies upon physicochemical properties and heavy metal contents(iron(Fe), manganese(Mn), copper(Cu), chromium(Cr), nickel(Ni),and Zinc(Zn)) in the fine-grained sediment(<63 μm) taken from the Mun River basin and the Chi River in the dry season of 2020-2021. The findings revealed that the heavy metals in the sediment had not accumulated to levels of concern. Most sediment was from natural sources, including Fe-and Mn-rich sediment, Cr-dominant sediment, and Ni-and Cu-rich sediment. Fe-and Zn-rich sediment was, however, found in the urban watershed of Lam Ta Klong, and it could originate from mixed urban sources. Ferich sediment was predominant in the Mun River basin, which and could be a significant sink and source of toxic elements from agricultural and urban discharges. It is suggested that the toxic compounds in the sediment should be consistently monitored, whereas ecological and health risk assessment should be focused on the mobile forms.
This study addresses the relationship between subsidies and thinning operations in Makino bamboo forests, with implications for sustainable timber production management. Focusing on indigenous lands in Taoyuan, North ...
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This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increa...
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Improving streamflow prediction reliability under limited hydrological observations is important for achieving sustainable water resourcesmanagement of a river catchment. Inadequate baseline information about a catch...
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Improving streamflow prediction reliability under limited hydrological observations is important for achieving sustainable water resourcesmanagement of a river catchment. Inadequate baseline information about a catchment hydrological characteristic has hindered efficient water availability analysis and planning for water use, demand, and allocation among competing water users. The United Nations is globally implementing Sustainable Development Goals such as No. 6 (SDG-6) with emphasis on the need of having access to clean water and sanitation for all by 2030 which highly depend on water resources availability. The purpose of this study was to analyse and predict water availability in the Luwombwa sub-catchment through the application of the Soil and Water Assessment Tool (SWAT) based on its capability to simulate a wide range of hydrological processes of the sub-catchment of 7,363 km2 considering past, present, and future climate scenarios. The results of the model performance achieved Nash-Sutcliffe Efficiency (NSE) of 0.74, a coefficient of determination (R2) of 0.77 and a Percent Bias (PBIAS) of 3.84 during the model calibration period (2017–2022). During model validation period (2009–2015), performance evaluations achieved were NSE of 0.66, R2 of 0.67 and PBIAS of 5.67 at the catchment outlet. The model’s estimated water balance components were precipitation of 1107.7 mm comparable to the observed 1100.6 mm long-term average annual precipitation within the region, 63% evapotranspiration and 18% runoff while the combined percolation and deep recharge accounted for 19% of the annual precipitation. The results indicated the reliability of the model to predict catchment surface water availability, which provides baseline information for sustainable water resourcesmanagement such as development of catchment management plans, water budget, and allocation. Therefore, the scientific insights from this study are capable of informing and
This study proposed country-specific characterisation factors (CFs) for Thailand by modifying the Thai Spatially Differentiated Life Cycle Impact Assessment (ThaiSD) method and introducing monetary conversion factors ...
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This study proposed country-specific characterisation factors (CFs) for Thailand by modifying the Thai Spatially Differentiated Life Cycle Impact Assessment (ThaiSD) method and introducing monetary conversion factors to express environmental impacts in Thai Baht. Five impact categories were fully parameterised, including fine particulate matter formation (PMF), human toxicity (both cancer and non-cancer) (HTc and HTnc), freshwater ecotoxicity (FET), and water scarcity (WS). Other spatialised CFs were selected from regionalisation models in ReCiPe2016 and IMPACT World+. When comparing the use of country-specific CFs with global average, the impact scores for PMF, HTc, HTnc, FET, photochemical ozone formation and terrestrial acidification demonstrated notably different levels, ranging from ±25 to ±50 %. The developed method was then applied to assess environmental impacts and costs of Thailand's transport sector, encompassing freight and passenger transport across roadway, railway, waterway, and aviation. Climate change (CC) was significantly attributed to human health and ecosystem quality impacts, while the major contributor to resource scarcity impact was fossil resource scarcity (FS). In some scenarios, non-exhaust emissions, particularly from freight trucks, accounted for 40–60 % of the total PMF impacts. Environmental costs of freight and passenger transport in Thailand were 0.08–3.64 Thai Baht per tonne-kilometre and 0.01–0.81 Thai Baht per passenger-kilometre, respectively. Among transport modes, trains were found to be the most environmentally favourable option for both passenger and freight transport, while aviation had the highest environmental impact for freight transport. In contrast, passenger aviation had a comparable environmental burden to passenger cars due to optimised occupancy rates. Despite the efficiency of modern internal combustion engine vehicles (ICEVs), particularly Euro 5 and 6, employing blended biodiesel was less effective in comparison
The problem of flooding in Central Vietnam in general and the lower Ba River in particular is one of the natural disasters that frequently threatens people's lives and socioeconomic development in the ***,climate ...
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The problem of flooding in Central Vietnam in general and the lower Ba River in particular is one of the natural disasters that frequently threatens people's lives and socioeconomic development in the ***,climate change is becoming ever more prominent and hotter,making extreme natural disasters more unusual and *** this research,MIKE-FLOOD—a model that connects a 1-dimensional(1-D)MIKE 11 Hydrodynamics(HD)model with a 2-dimensional(2-D)MIKE 21 HD model—was used to set *** model was calculated for three floods:(1)flood in October 1993,(2)flood in November 2003,and(3)flood in November 2007;these are floods with high frequency and relatively large *** results show that the 1993 flood rose and receded *** flood peak inundated an area of 22,600 ha,accounting for 52%of the natural *** flooded areas deeper than 1,2,3,4,and 5m were 16500,11,000,7000,4200,and 2200 ha,*** the center of Tuy Hoa city,the flooded area at the time of maximum water level was almost 100%.
During COVID-19 pandemic several countries have implemented quarantines in response to the virus’ spread, which was considered an emergency. Thailand was under a state of emergency from January to December 2020, whic...
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This study investigates how artificial intelligence (AI) can transform audit processes, including how AI can be used in businesses to execute non-technical audit tasks and what effect this will have on those tasks. A ...
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In the current day, digital transformation is imperative;both customer demand and market competitiveness are mostly driving that trend. The fourth industrial revolution has also affected the financial sector. One diff...
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