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Preliminary investigation of greenhouse gas emissions from the environmental sector in Taiwan.


by Fukushima, Yasuhiro^Liu, Pao-Wen Grace^Tsai, Jiun-Horng^Lee, Cheng Feng^Tseng, Ting Ke
Journal of the Air & Waste Management Association • Jan, 2008 • TECHNICAL PAPER

ABSTRACT

The United Nations Framework Conventions on Climate Change (UNFCCC) asks their Parties to submit a National Inventory Report (NIR) for greenhouse gas (GHG) emissions on an annual basis. However, when many countries are quickly growing their economy, resulting in substantial GHG emissions, their inventory reporting systems either have not been established or been able to be linked to planning of mitigation measures at national administration levels. The present research was aimed to quantify the GHG emissions from an environmental sector in Taiwan and also to establish a linkage between the developed inventories and development of mitigation plans. The "environmental sector" consists of public service under jurisdiction of the Taiwan Environmental Protection Administration: landfilling, composting, waste transportation, wastewater treatment, night soil treatment, and solid waste incineration. The preliminary results were compared with that of the United States, Germany, Japan, United Kingdom, and Korea, considering the gaps in the scopes of the sectors. The GHG emissions from the Taiwanese environmental sector were mostly estimated by following the default methodology in the Intergovernmental Panel on Climate Change guideline, except that of night soil treatment and waste transportation that were modified or newly developed. The GHG emissions from the environmental sectors in 2004 were 10,225 kilotons of C[O.sub.2] equivalent (kt C[O.sub.2] Eq.). Landfilling (48.86%), solid waste incineration (27%), and wastewater treatment (21.5%) were the major contributors. Methane was the most significant GHG (70.6%), followed by carbon dioxide (27.8%) and nitrous oxide (1.6%). In summary, the GHG emissions estimated for the environmental sector in Taiwan provided reasonable preliminary results that were consistent and comparable with the existing authorized data. On the basis of the inventory results and the comparisons with the other countries, recommendations of mitigation plans were made, including wastewater and solid waste recycling, methane recovery for energy, and waste reduction/sorting.

INTRODUCTION

Although the Republic of China (Taiwan) was not one of those Parties that ratified the Kyoto Protocol, it has still spent the highest efforts to comply with the international framework to confront the global climate change. Since 1992, Executive Yuan, the highest administration authority in Taiwan, has started to coordinate activities related to United Nations Framework Convention on Climate Change (UNFCCC) and other global environmental issues. In the meantime, the Taiwan Environmental Protection Administration (TEPA) has been continuously establishing greenhouse gas (GHG) mitigation policies. In particular, the sectors of Industry, Transportation, and Residential/Commercial were chosen by the TEPA for GHG inventorying, registration, validation, and methodology establishment. (1-3)

In Taiwan, the sources of GHG emission are closely related to the use of energy. (4) Despite abundant precipitation on an annual basis, most of the precipitations occur in the rainy season associated with typhoons. In addition, the rivers are very short, making them difficult to use for hydropower production. Producing almost no energy resources on its own, Taiwan relied on the supply of imported coal and petroleum for approximately 80% of its energy in 1998. Under this situation, the annual carbon dioxide (C[O.sub.2]) emissions per capita have increased at an annual rate of 5.8% from 1990 to 2000, to 5.57 t and 9.83 t, respectively. According to the statistics issued by TEPA, (5) the C[O.sub.2] emissions in 2003 increased by 121% from the level in 1990. The C[O.sub.2] emission estimation for 1990 ranked Taiwan 27th of 159 United Nations member countries, and Taiwan contributed approximately 0.5% to the global total. (6)

According to the Kyoto Protocol, adopted in 1997 at the Third Conference of the Parties to the UNFCCC and enforced on February 16, 2005, the Annex I countries must reduce their overall GHG emissions by at least 5% below 1990 levels in the commitment period 2008-2012. The anticipated balance between economic growth and GHG mitigation became a considerable challenge in Taiwan.

If Taiwan were one of the Annex I countries of the UNFCCC, the corresponding GHG emissions would have to be reduced by 227% of the projected value for 2010. (4) The amount to be reduced would be more than 10-20 times that of many developed countries, (7) which would have tremendous impact on an economy that has seen high growth in recent years through export-oriented industrialization. For this reason, TEPA considers Taiwan to be categorized as one of the Newly Industrialized Countries. Although the economic performance has surpassed those of many developing countries, Taiwan is not yet mature enough for making a sustainable commitment following the Annex I countries.

According to the Intergovernmental Panel on Climate Change (IPCC) guideline, (8) disposal and treatment of industrial and municipal wastes can produce significant amount of GHG emissions. C[O.sub.2] is mainly produced by waste incineration, methane (C[H.sub.4]) could be observed from landfilling and waste transportation, and nitrous oxide ([N.sub.2]O) is produced from incineration and wastewater treatment. To illustrate, C[H.sub.4] produced as a byproduct of the anaerobic decomposition of waste can contribute approximately 5-20% of annual global anthropogenic GHGs released to the atmosphere. (8) Also, in the United States, it was claimed that landfills were the largest source of anthropogenic C[H.sub.4] emissions, which accounted for 24% of total U.S. C[H.sub.4] emissions. On the other hand, waste-related sectors usually do not release other kinds of GHGs, such as perfluorocarbons (PFCs), hydrofluorocarbons (HFCs), and sulfur hexafluoride ([SF.sub.6]).

However, none of the emission inventories from the waste-related sectors had been developed in Taiwan. Therefore, the TEPA commissioned a research project to investigate the GHG emissions from a so-called "environmental sector," which is comprised of the waste treatment activities that are under its administration. The activities in the environmental sector include solid waste incineration, wastewater treatment, landfilling, composting, night soil treatment, and waste transportation. This paper summarizes the results from this project, in particular, the latest information on Taiwanese anthropogenic GHG emissions from the environmental sector in 1990, 1994, and 2000-2004, by undertaking a preliminary investigation. Socioeconomic data from nine of the 25 cities and counties in the Taiwan area were collected in a survey for references, but all of the GHG calculation was completed based on the activity data for the entire population. The nine cities and counties cover 47% of the Taiwanese population (2004). To ensure the inventories were comparable to other countries, the presented estimates were calculated mostly using methodologies consistent with those recommended in the IPCC guidelines, (8) but some methods were modified or newly developed. In addition, a comparison with five developed countries (United States, Germany, Japan, United Kingdom, and Korea) were conducted and discussed. Finally, mitigation plans were discussed based on the inventory results and comparison and recommendations were made. Although the UNFCCC asks its Annex I parties to submit GHG National Inventory Reports (NIRs) on an annual basis, not many populated countries have either established their GHG inventory systems or linked their inventory to planning of mitigation measures at national administration levels.

METHODOLOGIES

The IPCC 1996 revised guidelines (8) was primarily followed in the study to estimate the anthropogenic GHG emissions in the environmental sectors. However, because the environment sector does not belong to a formal IPCC source category, some methods followed the principle of the IPCC guideline but modified with consideration of local conditions. The overall calculations were conducted with the principle expressed in eq 1:

GHG emission [kg-C[O.sub.2] equivalent] = Activity Data [activity] x Emission Factor [kg-GHG/activity] x Global Warming Potential [kg-C[O.sub.2] equiv./kg-GHG] (1)

The global warming potential (GWP) values for each of the GHG were defined in the IPCC Third Assessment Report. Note that instead of using measurements with scientific instruments, the GHG emissions were estimated by socioeconomic data. Officially published data were collected to employ the IPCC Tier-1 (simple) method, so that a top-down estimation was completed in the preliminary investigation. For example, for quantifying emissions from solid waste incineration, the mass of solid waste incinerated was used; for waste transportation, fuel consumption was taken into account. The IPCC method excludes C[O.sub.2] emissions from biomass (crops and forests) combustion, and definitively states, "The present atmospheric C[O.sub.2] increase is caused by anthropogenic C[O.sub.2] emissions." (10) However, the exclusion of biomass was not carried out in the present study because of lack of data for biomass content in the municipal solid waste (MSW) incineration. The biomass delivered to the MSW treatments was difficult to quantify during the study year because the MSW sorting policy enforced since 2006, in which food waste was subject to sorting from general waste as well as other recyclable materials, has changed the composition and amount of biomass delivered to the waste incineration. The best available data were carbon content and heat values, which were utilized in the GHG calculation.

Table 1 describes how subsectors in the Taiwanese environmental sector are similar to those under the waste sector, which is listed in the NIRs and a national communication submitted to the UNFCCC. In Table 1, prescribed entries in the common report format (CRF) for the annual NIR submitted to the UNFCCC are shown. CRF 6A is the category of managed waste disposal on land, CRF 6B is wastewater handling, and CRF 6C is solid waste disposal. In addition, NI and I indicate the subsector is not included and included in the annual NIR of GHG, respectively. In brief, although IPCC guidelines exist, coverage of the activities of interest varies a great deal. Namely, wastewater treatment/handling and landfilling were the only common subsectors reported by many countries. Waste incineration was often discussed in the energy sector, and waste transportation belonged to the end-user transportation sector if discussed.

Waste Incineration

For waste incineration, the method of reporting GHG emission is quite varied from country to country. This variance is due to two different factors. The first factor is the difference in allocation of GHG emission to the energy and the waste sectors. Some countries report GHG emissions in the energy sector, even though not all of their incinerators actually conduct energy recovery. The other countries distinguish incinerators with and without energy recovery and report the GHG emissions to the energy and the waste sectors, respectively. Efficiency of thermal and chemical energy recovery tends to be lower than that of conventional energy generators. Countries such as Japan state that this could be a reason to discourage thermal and chemical energy recovery on waste incineration and choose to only allocate relevant GHG emissions to the waste sector. (11) The second factor is the details of waste compositions. When estimating the GHG emitted from waste incineration, biomass material such as paper and food waste should not be considered as net anthropogenic C[O.sub.2] emissions in the IPCC guidelines. (8) However, MSW sorting was not enforced until 2006 in Taiwan. As a result, the entire amount of incinerated solid waste was applied to the investigation. Thus, the estimated GHG emissions resulted not only from plastics derived from fossil fuel but also possible biomass burning. From the various data available, a different formula was employed to calculate the GHG emissions from MSW incineration.

MSW Incineration GHG emission (kg-C[O.sub.2] equiv.) = MSW incinerated [kg-waste] x GHG emission factor [kg-GHG/kg-waste] x GWP [kg-C[O.sub.2] equiv./kg-GHG] (2)

MSW Incineration GHG emission (kg-C[O.sub.2] equiv.) = MSW incinerated [kg-waste] x GHG emission factor [kg-GHG/cal] x heat value [cal/kg-waste] x GWP [kg-C[O.sub.2] equiv./kg-GHG] (3)

MSW Incineration GHG emission (kg-C[O.sub.2] equiv.) = MSW incinerated [kg-waste] x carbon content [kg-C/kg-waste] x (44/12) [kg-C[O.sub.2]/kg-C] x (1-pollution control efficiency [-]) x combustion efficiency [-] x GWP [kg-C[O.sub.2] equiv./kg-GHG] (4)

MSW Incineration GHG emission (kg-C[O.sub.2] equiv.) = MSW incinerated [kg-waste] x (1-water content [kg-water/kg-waste]) x (44/12) [kg-C[O.sub.2]/kg-C] x (1-pollution control efficiency [-]) x combustion efficiency [-] x GWP [kg-C[O.sub.2] equiv./kg-GHG] (5)

where GHG is {C[O.sub.2], C[H.sub.4], [N.sub.2]O}.

The carbon contents in eq 4 were varied by cities and by years in this study. According to the Yearbook of Environmental Protection Statistics, (12) the carbon content ranged from 15.74 to 29.67% and became the input for the corresponding GHG estimation. The GHG emissions from MSW incinerators were broken down into stationary sources, mobile sources, and fugitive sources in the IPCC guideline. In this study, only the stationary sources were covered for incinerators. When the carbon content of the wastes were available, eq 4 was used, otherwise, water content was applied as the surrogate as in eq 5. The emission factors of C[O.sub.2] and C[H.sub.4] were adopted from the energy sector, whereas that of [N.sub.2]O was adopted from the waste sector in the IPCC guideline. (8)

Wastewater Treatment

According to the IPCC Guideline, (8) C[H.sub.4] produced from wastewater can be handled from two primary categories, domestic and industrial treatments. Under each, C[H.sub.4] emissions should be separately estimated from organic water and from sludge. Industrial wastewater handling was estimated to be the major contributor, producing 10-20 times that of other domestic sources.

The GHG emissions estimated in this study focused on the emissions from organic wastewater, whereas those from organic sludge were ignored. This is because most of the sludge is sent for incineration, aerobic treatment, or sun drying in Taiwan, and very little sludge was under anaerobic treatment, which causes C[H.sub.4] emission. (13) In addition, different from developed countries where human sewage systems cover most of the population, in Taiwan, the human sewage system is still underdeveloped. For the same reason, [N.sub.2]O from human sewage was not estimated. Therefore, a modified approach for C[H.sub.4] emissions that counted the sewage developing ratio was used, which assumed that the treatment linked with human sewages will not cause C[H.sub.4] production (eq 6). In Taiwan, the human sewage delivered through the sewage system to the municipal wastewater treatments is treated with aerobic digestion.

Domestic Wastewater C[H.sub.4] emission [kg-C[O.sub.2] equiv.] = population [person] x (1 - Human Sewage System Coverage [-]) x BO[D.sub.5] per capita per day [kg-BOD x perso[n.sup.-1] x [day.sup.-1]] x 5-day BOD removal efficiency [-] x 365 [day] x C[H.sub.4] emission factor [kg-C[H.sub.4]/kg-BOD] x GWP [kg-C[O.sub.2] equiv./kg-C[H.sub.4]] (6)

The C[H.sub.4] emission factor (0.6 kg C[H.sub.4]/kg biological oxygen demand [5-day BOD]) was used for domestic wastewater. The 5-day BOD per capita per day is set at 0.04 kg, derived from the design guideline of the sewage treatment system in Taiwan, which is consistent with the IPCC guidelines. (8) The design guideline suggests the per capita per day 5-day BOD concentration before and after the treatment be 160 mg/L and 80 mg/L, respectively; therefore, 5-day BOD removal efficiency was set as 50%.

For the C[H.sub.4] emission from the industrial wastewater (eq 7), the C[H.sub.4] emission factor was modified from the IPCC guideline so that 0.25 kg C[H.sub.4]/kg chemical oxygen demand (COD) was used, and 300 working days were employed. The emission estimation was done primarily for industrial parks regulated by TEPA, therefore, industries such as livestock farming, restaurants, clothes cleaning, car washing, car maintenance, hotels, and hospitals were excluded from industry and accounted in the other source categories. For example, the wastewater generated by these small businesses except for hospitals is either treated in their septic tanks or in the sewage systems, which eventually goes to the municipal wastewater treatment plants, so the corresponding emissions were estimated in either the night soil subsector or domestic wastewater treatment subsector in the study. Additionally, the United Kingdom did not estimate the emissions from private wastewater treatment plants operated by companies until it was discharged to the public sewage system or rivers. (14)

Industrial Wastewater C[H.sub.4] emission [kg-C[O.sub.2] equiv.] = (CO[D.sub.influent] [mg/liter] - CO[D.sub.effluent] [mg/liter]) x Flo[w.sub.effluent] [liter/day] x 300 [day] x C[H.sub.4] emission factor [kg-C[H.sub.4]/mg-COD] x GWP [kg-C[O.sub.2] equiv./kg-C[H.sub.4]] (7)

Landfilling

It was agreed that the C[H.sub.4] emissions occurred only during the landfilling process, and the facilities with flares or C[H.sub.4] used for energy purposes should also be taken into consideration. Also, the method developed by the U.S. Environmental Protection Agency (EPA) (15) does not count biomass to the calculation of the C[H.sub.4] emission from landfilling. The first-order decay model (FOD or Tier 2) developed by EPA (15) was applied with several parameters subject to domestic conditions to estimate the C[H.sub.4] emissions from landfills in Taiwan. Although the waste composition in Taiwan might cause a different C[H.sub.4] generation factor from that adopted from the EPA, given that there is no logical basis available to assume a reasonable composition, using the C[H.sub.4] generation potential default value as given by EPA would be the best decision at this moment. On the other hand, parameters other than the C[H.sub.4] generation factor were set according to Taiwanese circumstances.

The [N.sub.2]O emission was not modeled in the study because it was considered negligible due to the nonconducive nitrification and denitrification landfilling environment. The landfilling emission diffusion model landGEM_v.302 (16) was employed. In the model, C[H.sub.4] generation potential was adopted from the inventory value (100 [m.sup.3]/Mg) listed in EPA AP42. (17) The rate constant 0.05/yr was implemented by following the suggestion from EPA, stating that the area with average annual rainfall greater than 635 mm should use 0.04/yr. (15)

Night Soil Treatment

[N.sub.2]O, a digestion product of human discharge, is the main GHG emitted from night soil treatment. According to the Yearbook of Environmental Protection Statistics, (12) night soil was mostly delivered to night soil treatment plants, wastewater treatment plants, MSW leachate treatment plants, and composting plants. The same report indicates that in 2003, 102, 156 t of night soil (70.5% of the total night soil delivered) was delivered to the night soil treatment plants. Therefore, the scope in the study was defined only for municipal and private night soil treatment plants. To avoid double counting, emission beyond the scope was not modeled.

As indicated in Table 1, night soil treatment was not discussed in the waste sector. Thus, the estimation was conducted by modifying the formula used to calculate [N.sub.2]O emitted from human sewage. (8) Eq 8 explicates the modified approach.

[N.sub.2]O emission [kg-C[O.sub.2] equiv.] = annual per capita protein intake [kg-protein/person] x fraction of nitrogen in protein [kg N/g protein] x (population [person] x night soil regional delivering rate [-]) x delivering rate to night soil treatment plants [-] x (44/28) [kg-[N.sub.2]O/kg-[N.sub.2]] x emission factor [kg-[N.sub.2] to be [N.sub.2]O/kg-[N.sub.2] in sewage] x GWP [kg-C[O.sub.2] equiv./kg-[N.sub.2]O] (8)

On the basis of the statistics, (18) the protein intake rate for a person 19-64 years of age and categorized by adult male and female in Taiwan is 82.6 g/day and 61.6 g/day, from which the annual protein intake rate for male and female is derived as 30.1 and 22.5 kg, respectively. Both the fraction of nitrogen in protein (0.16 kg N/kg protein) and the [N.sub.2]O emission factor (0.01 kg [N.sub.2]O-N/kg sewage-N produced) were taken from the IPCC default values. (8) To reflect the actual situation, the delivering rate to night soil treatment plants was localized from the IPCC parameters. To illustrate, the delivering rates in 2003 and 2004 were 70.5 and 77.5%, respectively. However, the delivering data were not available until 2001, so the data of 2001 (49.5%) were set as values for 1990-2000. Similarly, because the entire population was not applicable for the night soil treatment, the night soil regional delivering rate was multiplied by the total population instead of using the original population. The regional delivering rate varied from 23.7 to 42.9% during 1990-2004.

Composting

Estimation of GHG emissions from composting plants followed the UNFCCC method, (19) so the boundary was defined to include the unit of sorting, aerobic conversion, compost, on-site use of electricity, and on-site use of fuels by dozers. [N.sub.2]O was identified as the primary GHG emission, and the emissions produced during the composting period were the focus. Although other factors affecting GHG emission rates may exist, such as: (1) C[H.sub.4] emissions from anaerobic decomposition, (2) long-term carbon storage in the form of undecomposed carbon compounds, and (3) nonbiogenic C[O.sub.2] emissions from collection and transportation of the organic materials to the central composting site and from mechanical turning of the compost pile, they were not included in this category. Namely, the decision to omit factor (1) was made according to the analysis, (20) which showed that a properly managed composting site does not generate C[H.sub.4] emissions. The [N.sub.2]O emission from composting was modeled with the formula described in eq 9. (19)

[N.sub.2]O emission [kg-C[O.sub.2] equiv.] = total quantity of compost [kg-compost] x emission factor [kg-[N.sub.2]O/kg-compost] x GWP [kg-C[O.sub.2] equiv./kg-[N.sub.2]O] (9)

The default emission factor of 0.043 kg [N.sub.2]O/t from the IPCC guideline (8) was employed. The emission factor was reported with the assumption that 42 mg [N.sub.2]O-N were generated from 650 kg dry matter/t compost.

Waste Transportation

Because waste transportation is not included as an individual sector in the IPCC source category, a new method was applied in the study. The method to estimate the emission resulting from waste transportation was designed with four actions: (1) scope definition, (2) emission source identification, (3) parameter determination, and (4) emission computation. Actions 1-3 are elaborated as below:

Scope Definition. Both the public and private transporters were included in the scope of the study. In addition to the complete vehicle list for public services owned by the central and local environmental protection administration, the private vehicles that are used for removing commercial/hazardous solid waste were surveyed.

Emission Source Identification. C[O.sub.2] emission from vehicle engine ignition was identified as the relevant emission and the source. C[H.sub.4] and [N.sub.2]O emissions were not assessed in the study, as suggested in the GHG Protocol Initiatives, (21) although it was likely that the emissions were actually occurring. Even so, C[H.sub.4] and [N.sub.2]O emissions should have been decreased because control technologies for those gases have been introduced. Because C[O.sub.2] emission factors will differ for different types of vehicles and fuels, such data were surveyed in detail to reflect the current situation in Taiwan.

Parameter Determination. The emissions were calculated with eq 10.

GHG emission (C[O.sub.2] equivalent) = [m.summation over (j=1)][n.summation over (i=1)][q.sub.ij][f.sub.ij] (10)

where [q.sub.ij] represents vehicle model i and fuel consumption j, and [f.sub.ij] stands for the associated emission factor. Fuel consumption data were chosen (instead of the vehicle miles traveled) for the activity data because of the data availability. The fuel consumption data were collected through a survey to the city and county environmental protection administrations. Determination of the emission factors for respective vehicle models and fuel types were completed by following the IPCC methods. (22) The decision was made after exploring possible existing local emission factors, relevant reports from EPA, and the GHG Protocol Calculation Tool. (21) Table 2 shows the emission factors ([f.sub.j]) taken from IPCC. (22)

RESULTS AND DISCUSSION

GHG Emission Inventory of the Taiwanese Environmental Sector

The GHG emissions by the subsectors for 1990, 1994, 2000-2004 are shown in Figure 1. Figure 1 indicates that waste incineration, wastewater, and landfilling, shown with filled symbols using the primary axis on the left, made the major contribution. The highest emission occurred at 5306.64 kt C[O.sub.2] Eq. from landfilling in 2000. Transportation, night soil, and composting, shown with empty symbols on the secondary axis, are the minor sources. The emission from composting is negligible, compared with the other subsectors, which might explain the exclusion of composting in the CRF or the GHG NIR by the IPCC guidelines. Structural changes to the newly started municipal incinerators have occurred since 2001, which might explain the obvious increase in the resulting GHG emissions. These changes in priorities of waste treatment methods could describe the increase in emissions from the incineration and gradual decline in emissions from the landfilling. The policy preference for incineration is largely driven by the national circumstances, such as the nonavailability of land for constructing landfilling sites. In addition, the decreasing trend in incineration since 2003 could be inferred with the policy of food waste recycling, aiming at enhancing the combustion efficiency of incinerators and reducing the amount of MSW. Currently 30% of the MSW is food waste. The emissions from wastewater treatment are relatively stable. Emissions from the domestic wastewater contributed 80.5% in 2004, which was about four times that from industrial wastewater (data not shown). However, along with more sewage systems being constructed, the emissions from the domestic wastewater decreased in ratio of the total GHG produced from the wastewater handling from 95.8% (1990) to 80.5% (2004). Comparing with the national total GHG emitted from the environmental sector, the GHG from the domestic wastewater dramatically dropped from 40.4% (1990) to 17.3% (2004).

[FIGURE 1 OMITTED]

[FIGURE 2 OMITTED]

Figure 2 shows the subsectoral distribution of the GHG emissions. The total GHG emissions in the environmental sector from 1990 to 2004 increased by 108.9%, which is consistent with a previous study. (5) According to the previous study, in 2000, the GHG emissions from the environmental sector (10,243 kt C[O.sub.2] Eq.) were smaller than the result calculated from the UNFCC national communication, (4) which estimated the GHG emissions from industry (121,794 kt C[O.sub.2] Eq.), transportation (34,470 kt C[O.sub.2] Eq.), and residential/commercial (39,066 kt C[O.sub.2] Eq.). Although the annual growth rate from 1990 to 2000 for the three IPCC sectors was 5.5%, it was 7.7% for the environmental sector estimated in this study.

Table 3 illustrates the distribution of gases in 2004 broken down into the subsectors. It is shown that C[O.sub.2] was mainly produced from waste incineration and transportation, C[H.sub.4] was mostly observed from wastewater treatment and landfilling, and [N.sub.2]O was primarily estimated from night soil. Compared with the GHG distribution in 1990 (C[O.sub.2] [3.4%], C[H.sub.4] [94.6%], and [N.sub.2]O [2.1%]), C[O.sub.2] emissions became more critical through the years. The fact could be deduced by the increased number of incinerators, the closing of landfilling sites, and an increased need for MSW transportation. The increased need of MSW treatment can be explained by the population growth from 20,400,000 (1990) to 22,700,000 persons (2004).

International Comparison

The GHG emissions from the waste sector in the United States, Germany, Japan, United Kingdom, and Korea contributed only 1.67-3.29% to their total emissions from 1997 to 2003, and also tend to be gradually declining. (23) The preliminary investigation conducted in the study made two types of comparison with the above countries. The first comparison is based on the GHG emissions from the IPCC waste sectors among these countries and those from the environmental sector in Taiwan. Table 4 described those emissions on a per capita basis for the year 2001. The emission from Taiwan seemed to be higher than most of the compared countries, although included subsectors do not match. The other comparison was made for the subsectors that were calculated in common, as shown in Table 5. Landfilling data in the Taiwanese environmental sector were compared with the IPCC solid waste disposal subsector. Wastewater treatment data in the Taiwanese environmental sector were used in a wastewater handling evaluation. The best available data from the solid waste disposal and wastewater handling in 2002 were discussed (Table 5).

The result implied that the C[H.sub.4] per capita emitted from landfilling (10.1 kg-C[H.sub.4]/capita) in Taiwan was relatively high, which was only smaller than that of the United States (31.9 kg-C[H.sub.4]/capita). All of these countries (United States, Germany, Japan, United Kingdom, and Korea) estimated their GHG from landfilling with the recommended FOD method, except for Japan, which designed a country-specific model on the basis of the FOD method. Landfills in the United States received 61% of the total solid waste, because of the simple land use on a relatively large geographic area. (9) Consequently, approximately 1800 existing operational landfills were the largest anthropogenic source of C[H.sub.4] emissions in the United States, and they accounted for 24% of total U.S. C[H.sub.4]. On the other hand, from 1990 to 2003, with the increases in the amount of landfill gas collected and combusted, a downtrend approximately 24% of the net C[H.sub.4] emissions from 1990 to 2003 was observed. (9) In Germany, (24) approximately 330 landfills for MSW are in operation. Strict legal regulations require such landfills to have equipment for gas collection and gas treatment. As a result of the regulations including landfill gas collection, waste management, and waste separation for recycling, the amount of municipal waste stored in landfills has decreased two-thirds since 1990. Consequently, the resultant C[H.sub.4] emissions reduced by more than 60% in comparison to the level in 1990. (24) In Japan, (25) C[H.sub.4] emissions from this source only accounted for 0.3% of total national emissions (2002), which also decreased by 8.4% between 1990 and 2002. The per capita emissions are the lowest among the reporting parties, (11) because only 5% of MSW generated is disposed at solid waste disposal sites for a population of 127 million. The data reflect the fact that legislation is in favor of incineration instead of landfilling because of limited land use. In the Japanese country-specific method, waste was categorized into kitchen garbage, waste papers or waste textiles, and waste wood, and emission factors have been established for each type of waste respectively. Carbon contents were specified for detailed categories such as kitchen garbage and waste wood. (25) In the United Kingdom, (14) C[H.sub.4] was also recovered for power generation. The 2002 data showed that 24% of generated C[H.sub.4] was utilized and 45% was flared. In Taiwan, landfilling was previously the major approach for waste management. However, from 1990 to 2004, landfilling was gradually replaced by waste incineration and the operation percentage has dropped from approximately 90 to 20%. At the same time, the incinerators have grown from a few percentages to over 50%, whereas recycling and composting accounted for the remaining measures. Particularly in 2002, the capacity of solid waste treated by the incinerators was about two times that of the landfills. (26) However, not all of the 263 landfill sites were facilitated with gas recovery systems, and only 28% of them were equipped with functional collection systems. (26) Recent changes in the waste treatment systems in Taiwan could affect the composition of waste; however, biomass content in the incinerated MSW is not analyzed in Taiwan at this point. As a best effort, the default C[H.sub.4] generation factor from the U.S. model was applied. Further detailed analysis is needed to more accurately estimate emissions from this category. (27)

The above discussion might help to preliminarily conclude the factors that influence the C[H.sub.4] emissions produced from landfilling in these discussed countries: (1) the popularity of landfilling application, (2) efficiency of waste management, and (3) accuracy of the emission estimation methods. The more landfilling sites that exist in a country, the higher the resultant C[H.sub.4] emissions tend to be. This hypothesis might be used to explain the enormous emissions produced by the United States, which has almost six times as many landfill sites as Germany and Taiwan. Germany and the United Kingdom could be good examples of efficient waste management implementation. The two countries, with comparable population and landfilled waste amounts, produced similar amounts of C[H.sub.4] emissions. In contrast to Germany, fewer gas collection systems and late enforcement of the regulation for waste management might explain the relatively high level of C[H.sub.4] emission in Taiwan. Japan emitted even less C[H.sub.4] in 2002 than all of the above countries despite its large population, the second largest in Table 5. This is due to the smaller number of landfilling sites and a sophisticated method for estimating C[H.sub.4] emissions.

The C[H.sub.4] per capita emitted from wastewater handling in Taiwan (4.21 kg-C[H.sub.4]/capita) was also only smaller than that of the United States (4.73 kg-C[H.sub.4]/capita), but greater than that of Germany, Japan, and the United Kingdom (0.08-0.63 kg-C[H.sub.4]/capita). Germany, for example (like Sweden and Denmark), uses aerobic procedures in municipal wastewater treatments and it produces no C[H.sub.4] emissions. (24) The small amount of C[H.sub.4] emissions estimated in Table 5 was produced from treatment of human sewage not connected to sewage networks, such as cesspools and septic tanks. In addition, since 1990 organic loads discharged into cesspools and septic tanks have been drastically reduced due to the gradual increase in small wastewater treatments, particularly in eastern Germany. (24) In Japan, no C[H.sub.4] recovery system was mentioned in the wastewater treatments. (25) However, sophisticated calculation was carried out for GHG estimation. To illustrate, activity data (BOD) specific to categories of manufacturing were used for the industrial wastewater handling. The actual C[H.sub.4] volume specific to each of the treatment processes was thoroughly estimated. Moreover, four different C[H.sub.4] emission factors for domestic sewage treatment plants were designed for corresponding purposes, such as community sewage treatment or on-site treatment of human waste alone. (25) Country-specific methods and emission factors based on the IPCC good practice guidance or relevant to the national circumstances are generally used in Japan's case. (11) The relatively low C[H.sub.4] emissions estimated in this subsector in the United Kingdom could be the result of their C[H.sub.4] recovery system, the subsequent utilization, and the flaring process. (14) In Germany, the model analyzing the proportion of anaerobic digester emissions actually accounted for the GHG emission recovery. (24) In contrast, the largest C[H.sub.4] producer in this category, the United States, mentioned no C[H.sub.4] recovery system in their national GHG inventory report for wastewater handling. (9) Similarly in Taiwan, most of the industry wastewater handlings proceed with anaerobic treatments, and the majority of them lack of C[H.sub.4] recovery systems so that they emit GHG directly into the atmosphere. In summary, in Taiwan and the United States, no C[H.sub.4] recovery system was included in most of the wastewater treatment; this is in contrast to the countries that emitted relatively low GHG emissions. Also, because of the objective of a preliminary investigation, the GHG estimation was completed with the conventional Tier-1 method without dedicated evaluation of the associated activity data and emission factor.

Mitigation Plans

Following the preliminary inventory results and the comparison with the other countries, the mitigation plans were discussed using the categories shown in Table 6. The candidates for recommended mitigation plans were raised in a brainstorm meeting involving local environmental protection administration officers and the university project members. It should be noted that a plan that could reduce emissions from a certain sector might not necessarily reduce overall emissions, because it might simply move the emission from one sector to another. For such kinds of plans, quantitative evaluation from life cycle points of view has to be conducted to evaluate the effectiveness. Such studies are demanding, so the preliminary study presented in this paper forms a basis for such further studies.

From the inventory results and matrix shown in Table 6, a recommendation of mitigation plan was made. Waste reduction, sorting, and C[H.sub.4] recovery systems were recommended because they have the highest potential to successfully reduce GHG emissions, and are commonly useful for the three major emissions contributors (waste incineration, wastewater treatment, and landfilling). Those recommendations are also consistent with the results when comparing to other countries. In addition, solid waste reuse and recycling and wastewater reuse were the other recommended options.

Reuse and recycling of post consumer products that are otherwise incinerated or landfilled will prolong the lifetime of a product and reduce wastes that cause GHG emissions upon final treatment. Although recycling also require activities (such as additional transportation and cleaning) that entail GHG emissions as well, considering the current low recycling rates in much of the environmental sector and relatively low emission contribution from the transportation subsector, promoting waste recycling may well be able to reduce the overall GHG emissions. Still, to promote solid waste recycling in an efficient way, priorities have to be set for enhancement of recycling via more detailed separation of domestic wastes. Promotion of reuse will require changes in citizens' mindset so that the acceptability of used product rises.

Wastewater reuse actually does not reduce GHG emission from the environmental sector; however, it could reduce water consumption and also the resultant GHG emissions related to freshwater treatment. One-way analysis, starting from inventory results, would help identifying mitigation plans that could possibly reduce emission in the environmental sector but it could not identify plans that reduce emissions in other sectors. Gaps in inventories and the administrative sections should be recognized and overcome. On the other hand, wastewater reuse could potentially increase GHG emissions from transportation of water. In Taiwan, reused wastewater in some cities is delivered by trucks and used for gardening. In such case, GHG emission associated with the transportation (i.e. emission from truck, etc.) would be occurring, and it could be more than the reduced GHG emission anticipated by the wastewater recycling. In Taiwan, wastewater treatment plants are remote from the downtown area, so it is possible that there would be an increase in the GHG emission. The overall reduction has to be approved through quantitative evaluations.

CONCLUSIONS

A preliminary investigation of GHG emissions for the environmental sector in Taiwan was completed for the base years 1990, 1994, and 2000-2004. The methods described in the IPCC guideline (8) were followed except for Night Soil Treatment and Waste Transportation. The estimated GHG emissions were comparable and consistent with data from several authorities. (1-4) In 2004, the total GHG emissions were 10,225 kt C[O.sub.2] Eq. Landfilling (48.86%), waste incineration (27%), and wastewater treatment (21.5%) were the major contributors. C[H.sub.4] was the most significant GHG (70.6%), followed by C[O.sub.2] (27.8%) and [N.sub.2]O (1.6%). International comparison was conducted based on common sectors. The factors affecting the C[H.sub.4] emission from landfilling include the number of landfill sites, the efficiency of waste management, and the estimation method. The main cause affecting the C[H.sub.4] emission from wastewater treatment was found to be the C[H.sub.4] recovery system. Wastewater and solid waste recycling, C[H.sub.4] recovery, and waste reduction were feasible mitigation plans with higher priority at this time.

A quantification of parametric uncertainty is recommended to be performed as subsequent research. Comprehensive and quantitative evaluation of mitigation plans from life cycle viewpoint is desirable, especially for those plans that could affect emissions not only from the original sector but also from another sector. The Taiwanese case of development of mitigation plans presented in this paper exhibits an example of filling the gaps in inventories and the administrative sections via a meeting with inventory analysts and administrative officers as members.

ACKNOWLEDGMENTS

This study was conducted with funding support from the TEPA (EPA-94-FA11-03-A210). The authors thank Wei-Kai Yang, Hsiu-Hsuan Li, Yung-Chen Yao, and Jin-Tiao Liang for their contribution in data collection and processing.

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