| Literature DB >> 33906118 |
Nicola Greene1, Sarah Hennessy1, Tate W Rogers1, Jocelyn Tsai2, Francis L de Los Reyes Iii3.
Abstract
Classifications for onsite sanitation in terms of facility type (septic tanks, pit latrines) exist, but connecting these facilities to the wider sanitation value chain via improved containment, emptying, and collection has not been well explored. Using existing Joint Monitoring Programme facility classifications and secondary data on piped water access, a Service Typology was developed to classify and quantify the primary emptying service needs of household level onsite sanitation facilities. Facilities in six Sustainable Development Goal (SDG) regions were classified as Emptiable (faecal sludge can be removed either via Mechanized or Non-Mechanized means) or Unemptiable. Of the 722 million household level sanitation facilities assessed in these regions, 32% were found to be emptiable via Mechanized means, 50% via Non-Mechanized means and 18% were found to be Unemptiable pits. The volume (by number of facilities) and density (as a proportion of the full population) of each service type were estimated by SDG region and by country. Results from this study provide background data on the role of emptying sanitation facilities in achieving SDG6, and can be incorporated into investment priorities, policy framing, technology development, infrastructure development, and targeted behaviour change strategies.Entities:
Keywords: Africa; Asia; Onsite; Pit latrine; Sanitation; Septic tank
Mesh:
Substances:
Year: 2021 PMID: 33906118 PMCID: PMC8178437 DOI: 10.1016/j.jenvman.2021.112612
Source DB: PubMed Journal: J Environ Manage ISSN: 0301-4797 Impact factor: 6.789
Fig. 1The conversion of the JMP Technology Types of onsite sanitation facilities into Emptying Service Types. The ease of sludge removal from each technology type is characterized by the facilities i) water content - ‘wet’ and ‘dry’ sludge, ii) trash content, and iii) accessibility. The Service Types designate whether a facility is emptiable so that the sanitation facility may be re-used and sludge safely managed.
The total number of 2017 household-level onsite sanitation facilities (in millions) per SDG region, including the density of onsite facilities calculated as the proportion of the population using onsite sanitation compared to the regions total population. Facilities are further distinguished and quantified as improved and unimproved.
| SDG Region | No. of Onsite Facilities (millions) | Density of Onsite Facilities (%) | No. of Improved Facilities (millions) | No. of Unimproved Facilities (millions) | Ratio Improved: Unimproved |
|---|---|---|---|---|---|
| Central and Southern Asia | 245 | 68% | 225 | 20 | 11:1 |
| Eastern and Southeastern Asia | 273 | 74% | 228 | 45 | 5:1 |
| Latin America and the Caribbean | 53 | 31% | 43 | 10 | 4:1 |
| Northern Africa and Western Asia | 31 | 34% | 26 | 4 | 6:1 |
| Oceania | 1 | 74% | 0 | 1 | 0:1 |
| Sub Saharan Africa | 118 | 72% | 67 | 52 | 1:1 |
Three current service types for onsite sanitation service providers and the assumptions used to calculate the Service Types. Examples for the types of equipment used in each Service Type are provided.
| Service Type | Description | Servicing Equipment | Facility Types | Assumptions |
|---|---|---|---|---|
| Facilities that can readily be served by machine or ‘machine-like’ equipment | Vacuum Trucks | 75% of improved, wet facilities | 75% of wet improved sanitation facilities can be emptied with existing equipment | |
| Remaining wet pits and all dry sanitation facilities that are of improved quality but are not accessible to mechanized emptying due to accessibility constraints or trash in the pit latrine | Buckets, shovels, garden tools, jerrycans and grabbing hooks | 25% of improved, wet sanitation facilities | All improved facilities are robust enough to be serviced or emptied if emptying equipment can be adapted | |
| All unimproved facilities that need to be upgraded, due to the low quality of the super or sub structure, making emptying unsafe or impossible. Some facilities may be serviced with facility upgrades | N/A | 100% of unimproved sanitation facilities | Some proportion of unimproved facilities can be upgraded, and others need to be rebuilt. No differentiation made between these two scenarios. |
Top 10 countries with the most voluminous and dense markets from the studied SDG regions. The number of facilities accounts for the physical number of onsite units calculated from 2017 JMP data. The onsite sanitation density represents the percent of the country's population using onsite sanitation.
| Onsite Facilities by Volume | Onsite Facilities by Density | |||||
|---|---|---|---|---|---|---|
| Rank | Country | No. of Facilities | Onsite Sanitation Density | Country | Onsite Sanitation Density | No. of Facilities |
| 1 | India | 166,156,772 | 64% | Tonga | 100% | 21,396 |
| 2 | China | 149,606,867 | 38% | Samoa | 100% | 39,062 |
| 3 | Indonesia | 47,239,997 | 79% | Anguilla | 98% | 3946 |
| 4 | Bangladesh | 23,962,487 | 95% | Guyana | 97% | 184,974 |
| 5 | Vietnam | 23,536,075 | 96% | Burundi | 97% | 1,921,992 |
| 6 | Nigeria | 21,508,675 | 70% | Rwanda | 97% | 2,455,882 |
| 7 | Brazil | 20,408,719 | 32% | Gambia | 96% | 181,291 |
| 8 | Philippines | 17,878,050 | 91% | Vietnam | 96% | 23,536,075 |
| 9 | Thailand | 16,942,805 | 91% | Suriname | 96% | 126,851 |
| 10 | Pakistan | 16,497,691 | 64% | Sri Lanka | 95% | 3,766,066 |
Fig. 2The proportion of Service Types of onsite sanitation facilities in six SDG regions of interest. The estimated 2017 number of household onsite facilities is displayed in millions. The percent of the population using onsite facilities is out of the SDG regions entire population, including sewer users and open defecators.
Fig. 3The top three countries per SDG region by number of facilities in the Mechanized Service Type. Country data is displayed for urban and rural facilities. The Service Type Density (filled dots, calculated according to Equation (2)) is calculated by dividing the Mechanized Service population over the total country population.
Fig. 4The top three countries per SDG region by number of facilities in the Non-Mechanized Service Type. Country data is displayed for urban and rural facilities. The Service Type Density (filled dots) is calculated by dividing the Non-Mechanized Service population over the total country population.
Fig. 5The top three countries per SDG region by number of facilities in the Unemptiable Service Type. Country data is displayed for urban and rural facilities. The Service Type Density (filled dots) is calculated by dividing the Unemptiable Service population over the total country population.