5 research outputs found
첨κ°μ λ₯Ό νμ©ν μΈλΆμ μ§λ μ΄λΆν΄λΉν κ°μ λ°©μ
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Όλ¬Έ (μμ¬) -- μμΈλνκ΅ λνμ : 곡과λν 건μ€ν경곡νλΆ, 2020. 8. Mooyoung Han.μλ³λΆλ¦¬κ±΄μ‘°νμ₯μ€(Urine-diverting dry toilets)μ μ¬λμ λ°°μ€λ¬Όκ΄λ¦¬λ₯Ό μν μ§μκ°λ₯ν μμμμ€ν
μ€ νλμ΄λ€. UDDTμμλ λλ³κ³Ό μλ³μ λ°λ‘ λΆλ¦¬νμ¬ μ²λ¦¬νλ€. νμ¬, UDDTsλ λμ μ‘°μ , λμλ³μ²λ¦¬, μμμ μμ€κ³Ό κ΄λ ¨λ μ¬λ¬ λ¬Έμ μ μ§λ©΄ν΄ μλ€. κ·Έμ€ λλ³μ²λ¦¬λ μ°μ κ΄μ¬μ¬κ° λκ³ μλ€.
μΈλΆμλ μλ¬Όμ±μ₯μ μ μ©ν μμμ±λΆμ΄ λ§μ΄ ν¬ν¨λμ΄ μκΈ° λλ¬Έμ μ²μ°λΉλ£λ‘λ μλ €μ Έ μλ€. λμ μμμ±λΆμ΄μΈμλ λ€λμ λ³μκ· λ€μ΄ μκΈ° λλ¬Έμ μ΄μ λ
ΈμΆλλ©΄ μ§λ³μ μμΈμ΄ λλ€. λ°λΌμ μΈλΆμ ν μμ λΉλ£λ‘ μ¬μ©νκΈ° μν΄μ μΈκ³λ³΄κ±΄κΈ°κ΅¬ (WHO) 2006λ
κ°μ΄λλΌμΈμ λͺ
μλ λμ₯κ· μ μ΅λ νμ©μΉ (< 3 log10 cfu/g 건λ)μ μΆ©μ‘±νμ¬ μ²λ¦¬ν΄μΌ νλ€.
μ κΈ°νκΈ°λ¬Όμ λΆν΄νλ μ§μκ°λ₯ν λ°©λ²μΌλ‘λ μ§λ μ΄λΆ ν΄λΉνκ° μλ€. μ§λ μ΄λΆ ν΄λΉνλ μ§λ μ΄λ₯Ό μ¬μ©νμ¬ μ κΈ°νκΈ°λ¬Όμ μ κΈ°λ¬Όμ§μ ν μ κ°λμ λ‘ μ νμν€λ κ²μ μλ―Ένλ€. λ§μ°¬κ°μ§λ‘, μΈλΆμλ λ€λμ μ κΈ°λ¬Όμ§μ ν¬ν¨νκ³ μκΈ° λλ¬Έμ μ΄ κ³΅μ μ μ μ©μν¬ μ μλ€. κ·Έλ¬λ ν΄λΉν μκ°(μ²λ¦¬ μκ°)μ΄ κΈΈκΈ° λλ¬Έμ λκ·λͺ¨λ‘ μΈλΆμ λΆν΄νλ μ§λ μ΄λΆ ν΄λΉν곡μ μ μ μ©μ κ±Έλ¦Όλμ΄ λλ€. λ°λΌμ λ³Έ μ°κ΅¬μμ ν±λ°₯μ μ§λ μ΄λΆ ν΄λΉν 곡μ μ κ°μ νκΈ° μν΄ μ²λ¦¬ μκ°μ λ¨μΆνλ μ΄λ§€λ‘ μ¬μ©νμλ€.
λ³Έ μ°κ΅¬λ (1) UDDTμμ λΆλ¦¬λλ μΈλΆμ λν μ²λ¦¬ λ°©λ²μΌλ‘μ μ§λ μ΄λΆ ν΄λΉνμ νλΉμ±, (2) μ§λ μ΄λΆ ν΄λΉνμ λν ν±λ°₯μ ν¨κ³Ό, (3) ν±λ°₯ μ 무μ λ°λ₯Έ μΈλΆμ μ§λ μ΄λΆ ν΄λΉν μ€ μ§μ ννμ λ³ν, κ·Έλ¦¬κ³ (4) ν±λ°₯ 첨κ°μ μ μ λ(optimization)μ νκ°νκΈ° μν κ²μ΄λ€. λͺ©ν (1), (2) λ° (3)λ₯Ό λ¬μ±νκΈ° μν΄ 4κ°μ§ κ°κΈ° λ€λ₯Έ μ§λ μ΄ μμ μμλ₯Ό μ€κ³νμλλ°, μ΄λ λλ³λ§μ ν¬ν¨νλ λμ‘° μμμμ(F), ν±λ°₯ μμ΄ λλ³κ³Ό μ§λ μ΄λ₯Ό ν¬ν¨νλ μμμμ(FV), μ§λ μ΄ μμ΄ λλ³κ³Ό ν±λ°₯μ ν¬ν¨νλ μμμμ(FA), λλ³, ν±λ°₯, μ§λ μ΄λ₯Ό ν¬ν¨νλ μμμμ (FAV) μ΄λ€. λͺ©ν(4)μ λ¬μ±νκΈ° μν΄ λλ³ λ ν±λ°₯μ μΈ κ°μ§ λΉμ¨, μ¦ 1 : 0.5, 1 : 1, 1 : 2κ° κ³ λ €λμλ€.
pHλ FAμ FAVμμ μ²μ 2μ£Ό λμ κΈκ²©ν μ¦κ°(μ΅λ 8.88 - 8.9)ν ν 105μΌκΉμ§ μμν κ°μνμ¬ pHκ° 6.79 - 6.87 λ²μλ‘ μ μ§λλ κ²μ΄ κ΄μ°°λμλ€. λμ‘°μ μΌλ‘, FVμμλ pHμ μ μ§μ μΈ κ°μλ§ κ΄μ°°λμλ€(8 ~ 7.25).
FAVμμ κ°μ₯ 짧μ μΈλΆ μ²λ¦¬ μκ°(90μΌ)μ΄ κ΄μ°°λμΌλ©° 75μΌ μ΄ν νλ°μ± κ³ νλΆ(VS)μ΄ μ 체 κ³ νλΆ(TS)μ μ½ 45%λ‘ μμ νλλ€. λν λμ₯κ· κ°μ²΄μ(2.73 log10 cfu/g건쑰λ)λ 90μΌ μ΄ν WHO κ°μ΄λλΌμΈ κΈ°μ€μ λ§μ‘±νμλ€. μ§λ μ΄κ° μλ λ€λ₯Έ μμμμλ 105μΌμ μΉλ£ νμλ VS(TSμ 62.02~80.05%)μ λμ₯κ· κ΅°(4.42~6.57 log10 cfu/g건μ€λ)μ μμΉκ° λ€μ λκ² μΈ‘μ λμλ€.
κ·Έλ¬λ VSμ λμ₯κ· κ°μ²΄μκ° κ°μνμμλ λΆκ΅¬νκ³ , μΈλΆμ λλ³μ μ§λ μ΄λΆ ν΄λΉν κ³Όμ μμ μλΉν μ§μ μμ€μ΄ κ΄μ°°λμλ€. μ΄ μ©μ‘΄ μ§μ(TDN) μμ€μ FAVμμ 45μΌ ν μ½ 85%μΈ λ°λ©΄, FVμμλ 105μΌ ν TDNμ 44%κ° μμ€λμλ€.
λν, μ§μ ννλ μ§λ μ΄λΆ ν΄λΉν κ³Όμ μμ μλͺ¨λμ΄ μλͺ¨λμ, μ§μ°μΌ, μ§μ κ°μ€ μμ ννλ‘ λ°λμμΌλ©°, μ΄λ NH4+/NO3-μ λ³νλ‘ λνλΌ μ μλ€. FAVμμ μ΅μ’
μμ°λ¬Όμ NH4+/NO3-λΉμ¨μ 75μΌ μ΄ν 0.22~0.02 λ²μμΈ κ²μΌλ‘ κ΄μ°°λμκ³ , FVμμλ ν΄λΉν 105μΌ ν 8.75μλ€.
μ§λ μ΄λΆ ν΄λΉνμμ λλ³ λ ν±λ°₯ λΉμ¨(1:0.5, 1:1, 1:2)μ μ΅μ νν κ²°κ³Ό νλ°μ± κ³ νλΆ(VS)κ³Ό λμ₯κ· κ΅° κ°μκ° ν±λ°₯ ν¨λκ³Όλ 무κ΄ν κ²μΌλ‘ λνλ¬λ€. VS κ°μλμ μ½ 41.56 β 45.57%μμΌλ©° λμ₯κ· κ°μλμ 4.1 log β 4.5 logμμ λͺ¨λ λΉμ¨μ κ³ λ €νλ€. λ§μ°¬κ°μ§λ‘, λͺ¨λ κ³ λ € λΉμ¨(52% β 71%)μμ λ°μ΄μ€λ§€μ€ μ¦κ°μ μ μλ―Έν μ°¨μ΄λ κ΄μ°°λμ§ μμλ€. λ°λΌμ μΈμ²΄ λλ³μ μ§λ μ΄λΆ ν΄λΉνμ λλ³κ³Ό ν±λ°₯μ λΉμ¨(1:0.5)μ κΆμ₯νμ¬ ν΄λΉνλ₯Ό μν μ§λ μ΄λΆ ν΄λΉν μμμμμ λΆνΌλ₯Ό μ΅μνν μ μμλ€.
κ²°λ‘ μ μΌλ‘, μ΄ μ°κ΅¬λ₯Ό ν΅ν΄ μ§λ μ΄λΆ ν΄λΉνκ° λΆλ¦¬λ μΈλΆμ μ²λ¦¬νλ λ λμ λμμΌλ‘ μ μνλ λ°μ΄λ€. λν μμμμμ μ²λ¦¬ μκ°κ³Ό λΆνΌλ₯Ό μ€μ΄κΈ° μν΄ μΈλΆμ μ§λ μ΄λΆ ν΄λΉνμ ν±λ°₯μ 첨κ°νλ κ²μ΄ κΆμ₯λ μ μλ€.Urine-diverting dry toilets (UDDTs) is one of the sustainable sanitation systems for human excreta management. In UDDTs, feces and urine are collected and treated separately. Currently, UDDTs are facing many problems relating to odor control, feces and urine treatment, and nutrient loss. Among these problems, feces treatment could be highlighted as the primary concern.
Human feces are considered as natural fertilizer due to the large quantity of nutrients contained within feces which is useful for plants growth. Besides the high nutrient levels, high levels of pathogens were also observed in feces, which can cause diseases if exposed. Thus, before the application of human feces to soil as a fertilizer, it has to be treated to meet the maximum allowable limit of E. coli stipulated in the guideline of WHO, 2006 (< 3 log10 cfu/g dry weight).
One sustainable method of decomposing organic wastes is vermicomposting. Vermicomposting could be defined as the use of earthworms and microorganisms in converting organic matter in organic wastes to soil conditioner. Similarly, since human feces contain a substantial amount of organic matter, this process could be applied to human feces. However, higher composting time (treatment time) has created a barrier in the adaptation of vermicomposting process for decomposition of human feces in large scale. Thus, in this study, sawdust was considered as a catalyst to reduce the treatment time to improve the vermicomposting process.
This study was aimed at evaluating (1) the feasibility of vermicomposting as a treatment method for source-separated human feces from UDDTs, (2) the effect of sawdust on vermicomposting of the feces to reduce treatment time, (3) observation of the changes in nitrogen forms during vermicomposting of human feces with and without sawdust, and (4) optimizing the addition of sawdust in the process. To achieve the target (1), (2) and (3), four reactors consisting bedding material were designed; blank (F) containing the feces only, one containing the feces and earthworm without sawdust (FV), one containing feces and sawdust without earthworm (FA), and another containing feces, sawdust and earthworm (FAV). Three ratios of feces to sawdust; 1 : 0.5, 1 : 1, and 1 : 2 were considered in reaching target (4).
pH was observed to increase rapidly (up to 8.88 - 8.9) in first two weeks in FA and FAV, then decease slowly until 105th day until pH was in the range of 6.79 - 6.87. Contrastingly, only a marginal reduction of pH was observed (from 8 to 7.25) in FV.
The shortest treatment time of human feces in was observed in FAV (90 days), with volatile solids (VS) stabilized around 45% of total solids (TS) after 75th day. Further, E. coli population (2.73 log10 cfu/g dry weight) was below the WHO guideline after 90th day. Other reactors without earthworms showed higher amount of VS (62.02 β 80.05 % of TS) and E. coli population (4.42 β 6.57 log10 cfu/g dry weight) even after 105 days of treatment.
However, despite the reduction of VS and E. coli population, a significant nitrogen loss was observed during vermicomposting of human feces. Total dissolved nitrogen (TDN) loss was about 85% after 45 days in FAV, while, 44% of TDN was lost after 105th day in FV.
In addition, nitrogen forms have changed from ammonium to ammonia, nitrate and nitrogen gas form during vermicomposting which is indicated by the changes in NH4+/NO3-. The NH4+/NO3- ratio in final product in FAV was observed to be in the range of 0.22 β 0.02 after 75 days while, the ratio in FV was 8.75 after 105 days of treatment.
The optimization of feces to sawdust ratio (1:0.5, 1:1 and 1:2) in vermicomposting showed that the reduction of volatile solids (VS) and E. coli population are independent from the sawdust content. VS reduction was about 41.56 β 45.57 % and E. coli reduction ranged from 4.1 log β 4.5 log under all ratios considered. Similarly, no significant difference in the increase of biomass was observed in all ratios considered (52% β 71%). Thus, the ratio (1:0.5) of feces and sawdust could be recommended in vermicomposting of human feces to minimize volume of vermicomposting reactor for the treatment.
Overall, the results of this study suggest that vermicomposting is a better alternative for treating source-separated human feces. Addition of sawdust to human feces can be recommended in vermicomposting of human feces to reduce the treatment time and volume of reactor.CHAPTER 1. INTRODUCTION 1
1.1 Current global sanitation situation 1
1.2 Urine-diverting dry toilets (UDDTs) 3
1.3 Treatment objectives of human feces 4
1.4 Current challenges of human feces treatment 5
1.5 Vermicomposting as a sustainable technology for treatment of source-separated human feces 7
1.5.1 What is vermicomposting? 7
1.5.2 Human feces 8
1.5.3 Earthworm 9
1.5.4 Additives (bulking agent) 12
1.5.5 Microorganisms 13
1.5.6 Bedding material 14
1.5.7. Reactor 14
1.5.8 Product 15
1.6 Review of research issues 15
1.7 Objective of the study 16
1.8 Dissertation structure 17
Reference 19
CHAPTER 2. INVESTIGATE THE EFFECT OF VERMICOMPOSTING FOR HUMAN FECES TREATMENT 25
2.1 Objectives 25
2.2 Material and methods 25
2.2.1 Raw substrates, earthworm, sawdust and bedding material 25
2.2.2. Reactors 27
2.2.3 Experimental setup 28
2.2.4 Physico-chemical analysis 29
2.2.5 E. coli analysis 30
2.2.6 Statistical analysis 30
2.3 Results and discussion 31
2.3.1 pH variation during vermicomposting 31
2.3.2 Evaluation of the effect of vermicomposting of human feces to reduce treatment time 32
2.3.3 Evaluation of the changes of nitrogen forms during vermicomposting of human feces 35
2.4 Summary 38
References 39
CHAPTER 3. INVESTIGATE THE EFFECT OF SAWDUST ON HUMAN FECES TREATMENT BY VERMICOMPOSTING 44
3.1 Objectives 44
3.2 Material and methods 44
3.2.1 Experimental setup 44
3.3 Results and discussion 45
3.3.1 pH variation during vermicomposting 45
3.3.2. Evaluation of the effect of adding sawdust on vermicomposting of human feces to reduce treatment time 46
3.3.3 Evaluation of the impact of adding sawdust on the changes of nitrogen forms during vermicomposting of human feces 49
3.4 Summary 52
References 53
CHAPTER 4. THE OPTIMIZATION MIXING RATIO OF HUMAN FECES WITH SAWDUST IN VERMICOMPOSTING PROCESS 57
4.1 Objectives 57
4.2 Experiment setup 57
4.3 Physical analysis 58
4.4 E. coli analysis 58
4.5 Biomass analysis 58
4.6 Results and discussion 59
4.6.1 The effect of different ratio on treatment time of vermicomposting 59
4.6.2 The effect of different ratio on biomass and amount of earthworm 61
4.7 Summary 63
References 64
CHAPTER 5. CONCLUSIONS AND RECOMMENDATIONS 66
5.1 Conclusions 66
5.2 Recommendation for further study 69
5.2.1 Larger-scale experiments 69
5.2.2 Size of organic additives 70
5.2.3 Microbial additives 70
5.2.4 Earthworm density and growth rates 70
5.2.5 Carbon to nitrogen (C/N) ratio 70
5.2.6 Vermicompost quality 71
5.2.7 Continuous-flow vermicomposting 71Maste
How cheap can hygienic latrines be?
A construction and operation costing of 12 types of hygienic latrines widely used in rural areas of Vietnam and presented in the Hygienic latrine Manual of the Ministry of Health, using traditional construction materials has been conducted. The cost of latrines using traditional construction materials is ranging from USD37.5 (VIP) to USD194.4 (Septic tank constructed by brick for treatment of black and grey wastewater from sitting bowl toilet). Annually averted O&M costs of Vietnamese latrines range from USD1.86 (VIP) to USD 4.58 (wet latrine with septic tank) per capita per year. Costs of hygienic latrines can be further reduced, applying solutions such as using local materials for construction, reducing the tank volume by using the water-saving flushing devices or applying more frequent tank emptying services and mass production of latrine components. The less a hygienic latrine costs, the more chance for poor people in different places can get access to improved sanitation
EIT enhanced self-Kerr nonlinearity in the three-level lambda system under Doppler broadening
Using density-matrix theory, an analytical expression of the self-Kerr nonlinear coefficient of a three-level lambda EIT medium for a weak probe light is derived. Influences of the coupling light and Doppler broadening on the self-Kerr coefficient are investigated and compared to experimental observation with a good agreement. The self-Kerr nonlinearity is basically modified and greatly enhanced in the spectral region corresponding to EIT transparent window. Furthermore, sign, slope, and magnitude of the self-Kerr coefficient can be controlled with frequency and intensity of the coupling light and temperature. Such controllable Kerr nonlinearity can find interesting applications in optoelectronic devices working with low-light intensity
Association between the Dietary Inflammatory Index and Gastric Disease Risk: Findings from a Korean Population-Based Cohort Study
Evidence suggests that diets with high pro-inflammatory potential may play a substantial role in the origin of gastric inflammation. This study aimed to examine the association between the energy-adjusted dietary inflammatory index (E-DIITM) and gastric diseases at baseline and after a mean follow-up of 7.4 years in a Korean population. A total of 144,196 participants from the Korean Genome and Epidemiology Study_Health Examination (KoGES_HEXA) cohort were included. E-DII scores were computed using a validated semi-quantitative food frequency questionnaire. Multivariate logistic regression and Cox proportional hazards regression were used to assess the association between the E-DII and gastric disease risk. In the prospective analysis, the risk of developing gastric disease was significantly increased among individuals in the highest quartile of E-DII compared to those in the lowest quartile (HRquartile4vs1 = 1.22; 95% CI = 1.08β1.38). Prospective analysis also showed an increased risk in the incidence of gastritis (HRquartile4vs1 = 1.19; 95% CI = 1.04β1.37), gastric ulcers (HRquartile4vs1 = 1.47; 95% CI = 1.16β1.85), and gastric and duodenal ulcers (HRquartile4vs1 = 1.46; 95% CI = 1.17β1.81) in the highest E-DII quartile compared to the lowest quartile. In the cross-sectional analysis, the E-DII score was not associated with the risk of gastric disease. Our results suggest that a pro-inflammatory diet, indicated by high E-DII scores, is prospectively associated with an increased risk of gastric diseases. These results highlight the significance of an anti-inflammatory diet in lowering the risk of gastric disease risk in the general population