Double Exposures: Future Water Security across Urban Southeast Asia
Abstract
:1. Introduction
1.1. Background
1.2. Methods
2. Review of Water Security Drivers across Southeast Asia
2.1. Trends and Outlook on Economic Growth
2.2. Impact of Economic Growth on Water Security
2.3. Trends and Outlook on Urbanization
2.4. Impact of Urbanization on Water Security
2.5. Trends and Outlook on Climate Change
2.6. Impact of Climate Change on Water Security
3. Discussion
3.1. UM: Focus on the Impact of Disasters on Water Security in Urban Areas
3.1.1. Immediate Impacts of Disasters on Water Security
3.1.2. Long-Term Impacts of Disasters on Water Security and Development
3.2. UM: Additional Effect of Cyclones on the Philippines and Vietnam
3.3. UM: Water Quantity Most Important during Dry Seasons
3.4. LM: Overall Less Water Secure than UM, Water Quality More Important than Quantity in the Short-Term
4. Conclusions
Author Contributions
Funding
Conflicts of Interest
Appendix A
Industry | Quality of H2O Input | H2O Output Pollutants | Country where Industry Is Prominent [25,38] |
---|---|---|---|
Agricultural Processing [76] | Assumed to be similar to rice milling: high amount of potable but not high-quality water needed | High organic pollutants, contributes to high TS, Nitrogen, TP, BOD and COD, and pathogens | LAO, MYA, MAL, THA |
Cement [77,78] | Not potable, used for cooling, mostly recycled within a factory | “No substantial contribution”, possibly TDS | CAM, MYA, THA |
Chemical Products [79] | Mostly used for cooling (90% of water intake) and in processes. Since water mostly used for cooling, assumed that high-quality water not required | Oil and grease, High BOD and COD, heavy metals | PHI |
Construction [80,81,82,83] | Quantity required “minimal” compared to the quantity of water needed for the generation of materials. Removal of vegetation, grading activities, cleaning, concrete mixing and casting, washing, drilling, cleaning, etc., potable water can be used but is not required | Mainly sedimentation, on a lesser scale chemicals, nutrients, oil and grease, metals | CAM, LAO, MYA, PHI |
Electric/Gas/Water supply [84,85,86,87] | Coal: a large amount of water needed for cooling, but quality is not important | Hydropower: sedimentation, water released may have low DO, either higher or lower water temp Coal (majority of PHI): groundwater contamination: arsenic, Hg, heavy metals: Cd, Cobalt, Selenium | LAO (hydropower) PHI |
Electronics/Semiconductors Assembly [88,89] | Large quantity of ultrapure water needed | Cl, sulfates, FL, Nitrates, Phosphates, Heavy metals, some organics, cyanide, contributes to high COD | PHI |
Electric Appliances/Machine Building [90,91,92] | Machinery water use not very high compared to other sectors, electric appliances even more less so. It is assumed that potable water is not required. | Heavy metals, generally low water pollution compared to other manufacturing industries | PHI, THA, VIE, IND |
Food and Beverage Processing [93,94,95] | High water quality and high quantity needed: further treatment usually required | Strong organic content, contributing to high BOD, TSS | VIE, IND, PHI, THA, |
Logging, wood and wood Processing [96,97,98] | Cooling saw blades, wood preserving, storm runoff, dusting (from these uses, it is assumed that potable, high-quality water is not needed) | Nitrogen, Phosphorus, organic waste compounds, wood preservation chemicals (chrome, copper, arsenic) contributing to high BOD and COD, increased water turbidity (TSS), oil and grease Note: pollution mostly happens in storm runoff | CAM, LAO, MAL, MYA |
Metallurgy [99,100] | High water input needed, assumed that it could be of varying quality | Heavy metals, acids, cyanide, organic compounds | VIE |
Mining [101,102,103] | High water input needed, used in mining and ore processing, can be of varying quality | Sedimentation, heavy metals, acidic water | LAO, MYA, THA, VIE |
Paper Processing [104,105,106] | Large amount of water needed (pulping, bleaching, and washing), drinking water-quality only needed for some processes, freshwater can be used otherwise | VOCs, Chlorinated organic compounds, Sulfur compounds, Suspended solids, nitrogen, and phosphorus, contributes to high BOD and COD. | VIE |
Pharmaceuticals [107] | High-quality water needed for extraction, purification, and washing | Contributes to high BOD and COD, TOC, NH3, TDS, Cl, sulfate, other anions | MAL, MYA |
Petrochemical [108,109,110,111] | Water intensive, used for distillation, liquid extraction, washing, and cooling, can use water directly from freshwater sources | SS, organic compounds (hydrocarbons), phenols, grease, H2S, NH3, CN−, contributes to high BOD and COD, hardness | IND, MAL |
Rice Milling [77] | Large amount of water input needed (parboiling, washing, steaming). From these uses, it is assumed that potable but not high-quality water is needed | BOD, COD, TSS, nitrogen (nitrates, TKN) | CAM |
Rubber [112,113,114,115] | Large amount of water input needed (mainly used for washing), groundwater can be used treated by sedimentation and filtering | Organic pollution (ex. acetic acid and formic acids, contributing to high BOD and COD), high nitrogen (ammonia), high sulfate | CAM, LAO, MAL |
Textiles/Apparel [116,117,118] | Large amount of water input needed | Untreated dye, heavy metals (ex. Pb, Hg, Zn), organic pollution, sulfates, contributes to high BOD, COD, some TDS | CAM, IND, THA, VIE |
Steel [100,119] | Water input-intensive, used in furnaces, cooling, washing, and product isolation. From these uses, assumed that high-quality water is not needed. | Oil and grease, high BOD and COD, NH3-N, organic compounds, TDS, heavy metals, cyanide, acids, | VIE |
Vehicles [120,121,122,123] | Used for washing and coloring, use freshwater that is further processed in the plant itself | High BOD, COD, heavy metals, oil and grease, organic and inorganic pollutants (phosphate) | IND |
Country | Water Quality | Water Quantity |
---|---|---|
LM | ||
CAM | Input: High-quality water is not needed for any main industry; potable or non-potable water can be used. Output: Sedimentation is most common quality output concern, along with high organic pollution (BOD and COD). Lesser scale: nitrogen, sulfates, heavy metals. | High amount of water needed in 3/5 top industries. |
LAO | Input: High-quality water is not needed for any main industry; potable or non-potable water can be used with some processing. Output: Sedimentation is the most common quality output concern, along with high organic pollution (BOD and COD). Lesser scale: nitrogen, sulfates, phosphates, heavy metals, acidic water, oil and grease. | High amount of water needed in 3/5 top industries. |
MYA | Input: High-quality water only needed for pharmaceutical industries, for others potable or non-potable water can be used with some processing. Output: Sedimentation is most common quality output concern, along with high organic pollution (BOD and COD) and nitrogen. Lesser scale: sulfates, phosphates, heavy metals, acidic water, oil and grease. | High amount of water needed in 2/5 top industries. |
UM | ||
IND | Input: High-quality water needed for only 1/5 industries, the rest can draw freshwater from sources and process in the plant. Output: Organic compounds contributing to high BOD and COD, heavy metals; Lesser scale: sedimentation. | 4/5 industries are water-intensive |
MAL | Input: High-quality water needed for only 1/5 industries, the rest can draw freshwater from sources and process in the plant. Output: Organic compounds contributing to high BOD and COD, Nitrogen, Sulfates Lesser scale: phosphorus, sedimentation. | 3/5 industries are water-intensive |
PHI | Input: 2/6 top industries require high-quality water Output: Heavy metals, Lesser scale: BOD and COD, sedimentation, oil and grease | 4/6 require high quantity of water |
VIE | Input: Only one requires high-quality water Output: Heavy metals, BOD and COD, Sedimentation, Lesser scale: cyanide, acids, nitrogen, phosphorus, sulfates | Almost all industries are water-intensive |
References
- HV, V.; Thompson, F.; Tonby, O. Understanding ASEAN: Seven Things You Need to Know|McKinsey. Available online: https://www.mckinsey.com/industries/public-sector/our-insights/understanding-asean-seven-things-you-need-to-know (accessed on 22 August 2019).
- ESCAP-UNISDR. Reducing Vulnerability and Exposure to Disasters 2012: The Asia-Pacific Disaster Report; ESCAP-UNSDIR: Bangkok, Thailand, 2012. [Google Scholar]
- Xinhua Cambodia’s Income Targets Are “Very Ambitious”: World Bank Experts. Available online: http://www.xinhuanet.com/english/2018-11/28/c_137637372.htm (accessed on 21 August 2019).
- Office of the National Economic and Social Development Board. The Twelfth National Economic and Social Development Plan (2017–2021); Office of the Prime Minister: Bangkok, Thailand, 2017. [Google Scholar]
- UN Water. Water Security & the Global Water Agenda. The UN-Water Analytical Brief; United Nations University: Hamilton, Canada, 2013; ISBN 9788578110796. [Google Scholar]
- Asian Development Bank. The Economics of Climate Change in Southeast Asia: A Regional Review; Asian Development Bank: Manila, Philippines, 2009. [Google Scholar]
- Biswas, A.K.; Seetharam, K.E. Achieving Water Security for Asia. Int. J. Water Resour. Dev. 2008, 24, 145–176. [Google Scholar] [CrossRef] [Green Version]
- Biggs, E.M.; Boruff, B.; Bruce, E.; Duncan, J.M.A.; Haworth, B.J.; Duce, S.; Horsley, J.; Curnow, J.; Neef, A.; Mcneill, K.; et al. Environmental Livelihood Security in Southeast Asia and Oceania A Water-Energy-Food-Livelihoods Nexus Approach for Spatially Assessing Change; International Water Management Institute: Colombo, Sri Lanka, 2014. [Google Scholar]
- Asian Development Bank. Asian Water Development Outlook 2016: Strengthening Water Security in Asia and the Pacific; Asian Development Bank: Manila, Philippines, 2016. [Google Scholar]
- S. Rajatnaram School of International Studies. Water Security Insights for An Urbanizing Southeast Asia; Centre for Non-Traditional Security Studies: Singapore, 2016. [Google Scholar]
- Leichenko, R.; O’Brien, K. Environmental Change and Globalization Double Exposures; Oxford University Press: New York, NY, USA, 2008; ISBN 9780195177312. [Google Scholar]
- Hjerpe, M.; Glaas, E. Evolving local climate adaptation strategies: Incorporating influences of socio–economic stress. Mitig. Adapt. Strateg. Glob. Chang. 2012, 17, 471–486. [Google Scholar] [CrossRef] [Green Version]
- Okpara, U.T.; Stringer, L.C.; Dougill, A.J. Using a novel climate–water conflict vulnerability index to capture double exposures in Lake Chad. Reg. Environ. Chang. 2017, 17, 351–366. [Google Scholar] [CrossRef] [Green Version]
- Hughes, S.; Pincetl, S.; Boone, C. Triple exposure: Regulatory, climatic, and political drivers of water management changes in the city of Los Angeles. Cities 2013, 32, 51–59. [Google Scholar] [CrossRef]
- Lele, S.; Srinivasan, V.; Thomas, B.K.; Jamwal, P. Adapting to climate change in rapidly urbanizing river basins: Insights from a multiple-concerns, multiple-stressors, and multi-level approach. Water Int. 2018, 43, 281–304. [Google Scholar] [CrossRef] [Green Version]
- Mason, L.R. Seasonal Water Insecurity in Urban Philippines: Examining the Role of Gender, Resources, and Context; Washington University in St. Louis: Washington, DC, USA, 2013. [Google Scholar]
- Bennett, N.J.; Dearden, P.; Peredo, A.M. Vulnerability to multiple stressors in coastal communities: A study of the Andaman coast of Thailand. Clim. Dev. 2015, 7, 124–141. [Google Scholar] [CrossRef] [Green Version]
- Herbeck, J.; Flitner, M. Infrastructuring coastal futures: Key trajectories in Southeast Asian megacities. J. Geogr. Soc. Berlin 2019, 150, 118–130. [Google Scholar]
- World Bank. World Bank Country and Lending Groups–World Bank Data Help Desk. Available online: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups (accessed on 15 November 2019).
- Ly, S. Cambodia Is Now a Lower-Middle Income Economy: What Does This Mean? Available online: https://blogs.worldbank.org/eastasiapacific/cambodia-is-now-a-lower-middle-income-economy-what-does-this-mean (accessed on 20 August 2019).
- World Bank. Lao PDR Now a Lower-Middle Income Economy. Available online: https://www.worldbank.org/en/news/press-release/2011/08/17/lao-pdr-now-lower-middle-income-economy (accessed on 20 August 2019).
- Reuters Bangladesh, Kenya, Myanmar move up Income Ranks-World Bank-Reuters. Available online: https://www.reuters.com/article/worldbank-income-upgrades/bangladesh-kenya-myanmar-move-up-income-ranks-world-bank-idUSL8N0ZI3SP20150702 (accessed on 20 August 2019).
- United Nations. International Standard Industrial Classification of All Economic Activities (ISIC), Rev. 4; United Nations: New York, NY, USA, 2008. [Google Scholar]
- World Bank. World Development Indicators. Available online: http://wdi.worldbank.org/table/4.2# (accessed on 8 December 2019).
- ASEAN. ASEAN Statistical Yearbook 2018; ASEAN Secretariat: Jakarta, Indonesia, 2018; ISBN 9786025798283. [Google Scholar]
- Central Intelligence Agency The World Factbook 2019. Available online: https://www.cia.gov/library/publications/resources/the-world-factbook/index.html (accessed on 23 August 2019).
- Ngov, P.; Ngin, C. Cambodia’ s Economy and Its Services Sector in Global Value Chains: Cambodia’s Economy and Its Services Sector in Global Value Chains; ERIA: Jakarta, Indonesia, 2019. [Google Scholar]
- World Bank Group. Lao PDR Economic Monitor: Maintining Economic Stability; World Bank: Vientiane, Laos, 2019. [Google Scholar]
- World Bank Group. Myanmar Economic Monitor June 2019; World Bank Group: Washington DC, WA, USA, 2019. [Google Scholar]
- World Bank Group. Indonesia Economic Quarterly: Oceans of Opportunity; World Bank: Jakarta, Indonesia, 2019. [Google Scholar]
- Malaysian Investment Development Authority Investment Data (Services Sector). Available online: https://www.mida.gov.my/home/investment-data-(services-sector)/posts/ (accessed on 21 August 2019).
- Mitra, R.M. Leveraging Service Sector Growth in the Philippines; ADB: Manila, Philippines, 2013; Volume 366. [Google Scholar]
- NordeaTrade Thailand: Economic and Political Overview. Available online: https://www.nordeatrade.com/fi/explore-new-market/thailand/economical-context (accessed on 21 August 2019).
- OECD. Economic Outlook for Southeast Asia, China and India 2019; OECD Publishing: Paris, France, 2018. [Google Scholar]
- United Nations. 2019 World Economic Situation and Prospects Report; United Nations: New York, NY, USA, 2019; ISBN 9789211091809. [Google Scholar]
- Humphreys, D. In search of a new China: Mineral demand in South and Southeast Asia. Miner. Econ. 2018, 31, 103–112. [Google Scholar] [CrossRef] [Green Version]
- Sophocleous, M. Interactions between groundwater and surface water: The state of the science. Hydrogeology 2002, 10, 52–67. [Google Scholar] [CrossRef]
- WEPA. Outlook on Water Environmental Management in Asia; WEPA: Tokyo, Japan, 2018. [Google Scholar]
- UNICEF; WHO. Progress on Household Drinking water, Sanitation and Hygiene 2000–2017. Special Focus on Inequalities; UNICEF: New York, NY, USA; WHO: New York, NY, USA, 2019. [Google Scholar]
- Carrard, N.; Foster, T.; Willetts, J. Groundwater as a Source of Drinking Water in Southeast Asia and the Pacific: A Multi-Country Review of Current Reliance and Resource Concerns. Water 2019, 11, 1605. [Google Scholar] [CrossRef] [Green Version]
- Jalilov, S.-M. Sustainable Urban Water Environments in Southeast Asia: Addressing the Pollution of Urban Waterbodies in Indonesia, the Philippines, and Viet Nam; United Nations University: Tokyo, Japan, 2016. [Google Scholar]
- Hanada, Y. Southeast Asia looks for outside help to flush sewage problem. Nikkei Asian Rev. 2019. Available online: https://asia.nikkei.com/Spotlight/Environment/Southeast-Asia-looks-for-outside-help-to-flush-sewage-problems2context (accessed on 24 August 2019).
- WSP. Improving On-site Sanitation and Connections to Sewers in Southeast Asia: Insights from Indonesia and Vietnam; World Bank: Washington, DC, USA, 2015. [Google Scholar]
- Lerner, D.N.; Harris, B. The relationship between land use and groundwater resources and quality. Land Use Policy 2009, 26S, S265–S273. [Google Scholar] [CrossRef]
- Chang, C.-P.; Wang, Z.; McBride, J.; Liu, C.-H.; Chang, C.-P.; Wang, Z.; McBride, J.; Liu, C.-H. Annual Cycle of Southeast Asia—Maritime Continent Rainfall and the Asymmetric Monsoon Transition. J. Clim. 2005, 18, 287–301. [Google Scholar] [CrossRef]
- Kikuchi, K.; Wang, B.; Kajikawa, Y. Bimodal representation of the tropical intraseasonal oscillation. Clim. Dyn. 2012, 38, 1989–2000. [Google Scholar] [CrossRef]
- Chang, C.-H. Preparedness and storm hazards in a global warming world: Lessons from Southeast Asia. Nat. Hazards 2011, 56, 667–679. [Google Scholar] [CrossRef]
- Nguyen-Thi, H.A.; Matsumoto, J.; Ngo-Duc, T.; Endo, N. A climatological study of tropical cyclone rainfall in Vietnam. Sci. Online Lett. Atmos. 2012, 8, 41–44. [Google Scholar] [CrossRef] [Green Version]
- Kubota, H.; Wang, B. How Much Do Tropical Cyclones Affect Seasonal and Interannual Rainfall Variability over the Western North Pacific? J. Clim. 2009, 22, 5495–5510. [Google Scholar] [CrossRef]
- Fritz, H.M.; Blount, C.D.; Thwin, S.; Thu, M.K.; Chan, N. Cyclone Nargis storm surge in Myanmar. Nat. Geosci. 2009, 2, 448–449. [Google Scholar] [CrossRef]
- Université Catholique de Louvain (UCL); CRED; Guha-Sapir, D. EM-DAT: The Emergency Events Database. Available online: www.emdat.be (accessed on 20 August 2019).
- Anshory Yusuf, A.; Francisco, H. Climate Change Vulnerability Mapping for Southeast Asia; EEPSEA: Singapore, 2009. [Google Scholar]
- Chotamonsak, C.; Salathé, E.P.; Kreasuwan, J.; Chantara, S.; Siriwitayakorn, K. Projected climate change over Southeast Asia simulated using a WRF regional climate model. Atmos. Sci. Lett. 2011, 12, 213–219. [Google Scholar] [CrossRef]
- Hijioka, Y.; Lin, E.; Pereira, J.J.; Corlett, R.T.; Cui, X.; Insarov, G.E.; Lasco, R.D.; Lindgren, E.; Surjan, A. Asia; Cambridge University Press: Cambridge, UK, 2014. [Google Scholar]
- Hirabayashi, Y.; Mahendran, R.; Koirala, S.; Konoshima, L.; Yamazaki, D.; Watanabe, S.; Kim, H.; Kanae, S. Global flood risk under climate change. Nat. Clim. Chang. 2013, 3, 816–821. [Google Scholar] [CrossRef]
- Van Vliet, M.T.; Franssen, W.H.; Yearsley, J.R.; Ludwig, F.; Haddeland, I.; Lettenamier, D.P.; Kabat, P. Global river discharge and water temperature under climate change. Glob. Environ. Chang. 2013, 23, 450–464. [Google Scholar] [CrossRef]
- Van Vliet, M.T.H.; Zwolsman, J.J.G. Impact of summer droughts on the water quality of the Meuse river. J. Hydrol. 2008, 353, 1–17. [Google Scholar] [CrossRef]
- Hoque, M.A.; D Scheelbeek, P.F.; Vineis, P.; Khan, A.E.; Ahmed, K.M.; Butler, A.P.; Hoque mhoque, M.A. Drinking water vulnerability to climate change and alternatives for adaptation in coastal South and South East Asia. Clim. Chang. 2016, 136, 247–263. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Marcotullio, P.J. Urban water-related environmental transitions in Southeast Asia. Sustain. Sci. 2007, 2, 27–54. [Google Scholar] [CrossRef]
- Freeman, P.; Warner, K. Vulnerability of Infrastructure to Climate Variability: How Does This Affect Infrastructure Lending Policies? World Bank: Washington, DC, USA, 2001. [Google Scholar]
- Gopalakrishnan, C. Water and disasters: A review and analysis of policy aspects. Int. J. Water Resour. Dev. 2013, 29, 250–271. [Google Scholar] [CrossRef]
- McCann, D.G.; Moore, A.; Walker, M.-E. The water/health nexus in Disaster Medicine. II: Water contamination in disasters. Curr. Opin. Environ. Sustain. 2011, 3, 486–490. [Google Scholar] [CrossRef]
- Few, R.; Ahern, M.; Matthies, F.; Kovats, S. Floods, Health and Climate Change: A Strategic Review; Tyndall Centre: Norwich, UK, 2004. [Google Scholar]
- Phanuwan, C.; Takizawa, S.; Oguma, K.; Katayama, H.; Yunika, A.; Ohgaki, S. Monitoring of human enteric viruses and coliform bacteria in waters after urban flood in Jakarta, Indonesia. Water Sci. Technol. 2006, 54, 203–210. [Google Scholar] [CrossRef] [Green Version]
- Ramachandraiah, C. Coping with urban flooding: A study of the 2009 kurnool floods, India. Environ. Urban. 2011, 23, 431–446. [Google Scholar] [CrossRef]
- Lyubimova, T.; Lepikhin, A.; Parshakova, Y.; Tiunov, A. The risk of river pollution due to washout from contaminated floodplain water bodies during periods of high magnitude floods. J. Hydrol. 2016, 534, 579–589. [Google Scholar] [CrossRef]
- Marcotullio, P.J. Asian urban sustainability in the era of globalization. Habitat Int. 2001, 25, 577–598. [Google Scholar] [CrossRef]
- Agrawala, S.; Carraro, M.; Kingsmill, N.; Lanzi, E.; Prudent-richard, G. Private Sector Engagement in Adaptation to Climate Change; OECD Publishing: Paris, France, 2011. [Google Scholar]
- Magtibay, B.; Anarna, M.; Fernando, A. Assessment of drinking water post-Haiyan. West. Pacific Surveill. Response J. 2015, 6, 48–52. [Google Scholar] [CrossRef] [Green Version]
- Hossain, J.; Salehin, M.; Mourin, M.M. Impact of Storm Surge Flooding on Groundwater Salinity in the Polder Protected and Non-Polder Area of Coastal Aquifer in Bangladesh. In Proceedings of the International Conference on Disaster Risk Mitigation, At BUET, Dhaka, Bangladesh, 23–24 September 2017. [Google Scholar]
- Xiao, H.; Wang, D.; Medeiros, S.; Bilskie, M.; Hagen, S.; Hall, C. Exploration of the effects of storm surge on the extent of saltwater intrusion into the surficial aquifer in coastal east-central Florida (USA). Sci. Total Environ. 2019, 648, 1002–1017. [Google Scholar] [CrossRef] [PubMed]
- David, C.C.; Inocencio, A.B.; Clemente, R.S.; Abracosa, R.P.; Tabios, G.Q. Metro Manila and Metro Cebu Groundwater Assessment; National Center for Biotechnology Information: Makati City, Philippines, 2001. [Google Scholar]
- Ngo, M.T.; Lee, J.M.; Lee, H.A.; Woo, N.C. The sustainability risk of Ho Chi Minh City, Vietnam, due to saltwater intrusion. Geosci. J. 2015, 19, 547–560. [Google Scholar] [CrossRef]
- Benner, S.; Polizzotto, M.; Kocar, B.; Ganguly, S.; Phan, K.; Ouch, K.; Sampson, M.; Fendor, S. Groundwater flow in an arsenic-contaminated aquifer, Mekong Delta, Cambodia. Appl. Geochem. 2008, 23, 3072–3087. [Google Scholar] [CrossRef]
- Alcamo, J.; Florke, M.; Marker, M. Future long-term changes in global water resources driven by socio-economic and climatic changes. Hydrol. Sci. J. 2007, 52, 247–275. [Google Scholar] [CrossRef]
- Alayu, E.; Yirgu, Z. Advanced technologies for the treatment of wastewaters from agro-processing industries and cogeneration of by-products: A case of slaughterhouse, dairy and beverage industries. Int. J. Environ. Sci. Technol. 2018, 15, 1581–1596. [Google Scholar] [CrossRef]
- Choudhary, M.P.; Gupta, D. Assessing Environmental Impacts of a Cement Industry during its Operation Phase. Int. J. Res. Sci. Innov. 2017, 4, 65–68. [Google Scholar]
- Sharma, K.; Jain, U.; Singhal, A. Treatment of Waste Generated From Cement Industry and Their Treatment-A Review; BITS Pilani: Pilani, India, 2013. [Google Scholar]
- Ellis, M.; Dillich, S.; Margolis, N. Industrial Water Use and Its Energy Implications; ACEEE: Tarrytown, NY, USA, 2001. [Google Scholar]
- Bardhan, S. Assessment of water resource consumption in building construction in India. WIT Trans. Ecol. Environ. 2011, 144, 93–100. [Google Scholar]
- Rahman, N.N.N.A.; Esa, N. Managing Construction Development Risks to the Environment. In Sustainable Living with Environmental Risks; Springer Japan: Tokyo, Japan, 2014; pp. 193–202. [Google Scholar]
- McCormack, M.; Treloar, G.J.; Palmowski, L.; Crawford, R. Modelling direct and indirect water requirements of construction. Build. Res. Inf. 2007, 35, 156–162. [Google Scholar] [CrossRef] [Green Version]
- Ooshaksaraie, L.; Basri, N.E.A.B. An Expert System Applied in Construction Water Quality Monitoring. Am. J. Environ. Sci. 2011, 7, 75–81. [Google Scholar] [CrossRef] [Green Version]
- Milman, O. Most US Coal Plants Are Contaminating Groundwater with Toxins, Analysis Finds|Environment|The Guardian. Available online: https://www.theguardian.com/environment/2019/mar/04/us-coal-plants-contaminating-groundwater-toxins-analysis (accessed on 25 August 2019).
- Renöfält, B.M.; Jansson, R.; Nilsson, C. Effects of hydropower generation and opportunities for environmental flow management in Swedish riverine ecosystems. Freshw. Biol. 2010, 55, 49–67. [Google Scholar] [CrossRef]
- Associated Press U.S. Utilities Find Water Pollution at Coal-Burning Power Plants–CBS News. Available online: https://www.cbsnews.com/news/u-s-utilities-find-water-pollution-at-coal-burning-power-plants/ (accessed on 25 August 2019).
- Schleifer, L.; Luo, T. Power Plants Use Water, But We Have No Idea How Much|World Resources Institute. Available online: https://www.wri.org/blog/2018/01/power-plants-use-water-we-have-no-idea-how-much (accessed on 25 August 2019).
- Tu, W.; Lee, Y. Ineffective environmental laws in regulating electronic manufacturing pollution: Examining water pollution disputes in Taiwan. In Proceedings of the 2009 IEEE International Symposium on Sustainable Systems and Technology, Phoenix, AZ, USA, 18–20 May 2009; pp. 1–6. [Google Scholar]
- Abdel Wahaab, R.; Alseroury, F.A. Wastewater treatment: A case study of electronics manufacturing industry. Int. J. Environ. Sci. Technol. 2019, 16, 47–58. [Google Scholar] [CrossRef]
- Chai, J.C.H. Trade and environment: Evidence from China’s manufacturing sector. Sustain. Dev. 2002, 10, 25–35. [Google Scholar] [CrossRef] [Green Version]
- Dong, H.; Geng, Y.; Sarkis, J.; Fujita, T.; Okadera, T.; Xue, B. Regional water footprint evaluation in China: A case of Liaoning. Sci. Total Environ. 2013, 442, 215–224. [Google Scholar] [CrossRef] [PubMed]
- Rashmi, V.; Pratima, D. Heavy metal water pollution-A case study. Recent Res. Sci. Technol. 2013, 5, 98–99. [Google Scholar]
- Gilde, L.C. Measures taken against water pollution in the food processing industry. Pure Appl. Chem. 1972, 29, 143–162. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Herndon, L. Managing Water Impacts of NC Food Processing-Environmental Finance Blog. Available online: http://efc.web.unc.edu/2016/02/23/food-processing/ (accessed on 25 August 2019).
- Valta, K.; Kosanovic, T.; Malamis, D.; Moustakas, K.; Loizidou, M. Overview of water usage and wastewater management in the food and beverage industry. Desalin. Water Treat. 2015, 53, 3335–3347. [Google Scholar] [CrossRef]
- EPA (Environmental Protection Agency Office of Water). Industrial Stormwater Fact Sheet Series Sector A: Timber Products; EPA: Washington, DC, USA, 2006. [Google Scholar]
- Hedmark, Å.; Scholz, M. Review of environmental effects and treatment of runoff from storage and handling of wood. Bioresour. Technol. 2008, 99, 5997–6009. [Google Scholar] [CrossRef]
- National Institute of Water and Atmospheric Research Impacts of Wood Processing. Available online: https://niwa.co.nz/our-science/freshwater/tools/kaitiaki_tools/land-use/foresry-processing/impacts-of-forest-processing (accessed on 25 August 2019).
- Statistics Canada Industrial Water Usage. Available online: https://www150.statcan.gc.ca/n1/pub/16-401-x/2012001/part-partie1-eng.htm (accessed on 25 August 2019).
- Wu, P.; Jiang, L.Y.; He, Z.; Song, Y. Treatment of metallurgical industry wastewater for organic contaminant removal in China: Status, challenges, and perspectives. Environ. Sci. Water Res. Technol. 2017, 3, 1015–1031. [Google Scholar] [CrossRef]
- Koumany, S. Water Quality and Monitoring in Lao PDR: The Case Study of Nam Ngum River Basin. In Proceedings of the 3rd WEPA Forum on Environmental Governance in Asia, Ministry of Environment Japan, Bangkok, Thailand, 14–15 March 2007; pp. 129–131. [Google Scholar]
- Prosser, I.; Wolf, L.; Littleboy, A. Water in mining and industry. In Water: Science and Solutions for Australia; Commonwealth Scientific and Industrial Research Organisation: Canberra, Australia, 2011; pp. 135–146. [Google Scholar]
- Ugya, A.Y.; Ajibade, F.O. Ajibade TF Water Pollution Resulting From Mining Activity: An Overview. In Proceedings of the 2018 Annual Conference of the School of Engineering & Engineering Technology (SEET), The Federal University of Technology, Akure, Nigeria, 17–19 July 2018. [Google Scholar]
- Gavrilescu, D.; Puitel, A.C.; Dutuc, G.; Craciun, G. Environmental impact of pulp and paper mills. Environ. Eng. Manag. J. 2012, 11, 81–85. [Google Scholar] [CrossRef]
- Ince, B.K.; Cetecioglu, Z.; Ince, O. Pollution Prevention in the Pulp and Paper Industries. In Environmental Management in Practice; Broniewicz, E., Ed.; IntechOpen: Rijeka, Croatia, 2011; pp. 223–246. [Google Scholar]
- Jung, H.; Kappen, J. Water in the paper industry: Current situation and future options. Prof. Papermak. 2014, 11, 11–13. [Google Scholar]
- Gadipelly, C.; Pérez-González, A.; Yadav, G.D.; Ortiz, I.; Ibáñez, R.; Rathod, V.K.; Marathe, K.V. Pharmaceutical Industry Wastewater: Review of the Technologies for Water Treatment and Reuse. Ind. Eng. Chem. Res. 2014, 53, 11571–11592. [Google Scholar] [CrossRef]
- Jacobs Consultancy. Water Consumption in US Petroleum Refineries Final Report; Jacobs Consultancy: Chicago, IL, USA, 2016. [Google Scholar]
- Girardi, A. Wastewater treatment and reuse in the oil & petrochem industry—A case study. In Proceedings of the Wastewater and Biosolids Treatment and Reuse: Bridging Modeling and Experimental Studies, Otranto, Italy, 8–14 June 2014; Santoro, D., Ed.; ECI Symposium Series; Trojan Technologies and Western University: London, ON, Canada, 2014. [Google Scholar]
- Hansen, É.; Rodrigues, M.A.S.; Aragão, M.E.; de Aquim, P.M. Water and wastewater minimization in a petrochemical industry through mathematical programming. J. Clean. Prod. 2018, 172, 1814–1822. [Google Scholar] [CrossRef]
- Sivarajasekar, N.; Balasubramani, K. A short account on petrochemical industry effluent treatment. Int. J. Petrochemical Sci. Eng. 2018, 3. [Google Scholar] [CrossRef] [Green Version]
- Mohammadi, M.; Man, H.; Hassan, M.; Yee, P. African Journal of Biotechnology. Acad. J. 2002, 9, 1–11. [Google Scholar]
- Tanikawa, D. Commentary on Appropriate Wastewater Treatment System for a Natural Rubber Processing Factory. J. Microb. Biochem. Technol. 2017, 9, 159–161. [Google Scholar]
- Leong, S.T.; Muttamara, S.; Laortanakul, P. Reutilization of wastewater in a rubber-based processing factory: A case study in Southern Thailand. Resour. Conserv. Recycl. 2003, 37, 159–172. [Google Scholar] [CrossRef]
- Musikavong, C.; Gheewala, S.H. Water scarcity footprint of products from cooperative and large rubber sheet factories in southern Thailand. J. Clean. Prod. 2016, 134, 574–582. [Google Scholar] [CrossRef]
- Bashar, A.K. Textile Manufacturing Process, Pollution and Pollution Control; Jahangirnagar University: Dhaka, Bangladesh, 2012. [Google Scholar]
- Sakamoto, M.; Ahmed, T.; Begum, S.; Huq, H. Water Pollution and the Textile Industry in Bangladesh: Flawed Corporate Practices or Restrictive Opportunities? Sustainability 2019, 11, 1951. [Google Scholar] [CrossRef] [Green Version]
- Tüfekci, N.; Sivri, N.; Toroz, İ. Pollutants of Textile Industry Wastewater and Assessment of its Discharge Limits by Water Quality Standards. Turkish J. Fish. Aquat. Sci. 2007, 7, 97–103. [Google Scholar]
- Das, P.; Mondal, G.C.; Singh, S.; Singh, A.K.; Prasad, B.; Singh, K.K. Effluent Treatment Technologies in the Iron and Steel Industry—A State of the Art Review. Water Environ. Res. 2018, 90, 395–408. [Google Scholar] [CrossRef]
- Gandhirajan, M.; Amarnath, G.; Kavitha, P.; Bhagavath, R. Characterisation and Treatment of Automotive Industry Wastewater. J. Ind. Pollut. Control 2008, 24, 9–14. [Google Scholar]
- Isaiah, D. Water, Water, Everywhere in Vehicle Manufacturing|Automotive World. Available online: https://www.automotiveworld.com/articles/water-water-everywhere-vehicle-manufacturing/ (accessed on 15 November 2019).
- Mirbagheri, S. Optimization of Motor Vehicle Industries Wastewater Treatment Methods with the Aim of Heavy Metals Removal and Water Reuse in Pilot Scale. Iran. J. Environ. Health Sci. Eng. 2006, 3, 289–295. [Google Scholar]
- Toyota Motor Corporation. Environmental Report 2018; Toyota Motor Corporation: Toyota, Japan, 2018. [Google Scholar]
Country | Agriculture | Industry | Manufacturing 1 | Services | ||||
---|---|---|---|---|---|---|---|---|
% of GDP | % of GDP | % of GDP | % of GDP | |||||
2010 | 2018 | 2010 | 2018 | 2010 | 2018 | 2010 | 2018 | |
LM | ||||||||
Cambodia | 34.0 | 22.0 | 22.0 | 32.0 | 15.0 | 16.0 | 38.3 | 39.5 |
Lao PDR | 33.0 | 26.0 | 30.0 | 32.0 | 11.0 | 7.0 | 43.6 | 41.6 |
Myanmar | 37.0 | 25.0 | 26.0 | 32.0 | 20.0 | 24.0 | 36.7 | 43.2 |
UM | ||||||||
Indonesia | 14.0 | 13.0 | 43.0 | 40.0 | 22.0 | 20.0 | 40.7 | 43.4 |
Malaysia | 10.0 | 8.0 | 40.0 | 39.0 | 23.0 | 22.0 | 48.5 | 52 |
Thailand | 11.0 | 8.0 | 40.0 | 35.0 | 31.0 | 27.0 | 49.5 | 56.9 |
Philippines | 12.0 | 9.0 | 33.0 | 31.0 | 21.0 | 19.0 | 55.1 | 60 |
Vietnam | 18.0 | 15.0 | 32.0 | 34.0 | 13.0 | 16.0 | 36.9 | 41.2 |
Country | Industry a | Services |
---|---|---|
LM | ||
Cambodia | Garments, Construction, Rice milling, Fishing, Wood and wood products, Rubber, Cement | Trade, Transport and Communications, Real Estate and Business b |
Lao PDR | Mining (copper, tin, gold, gypsum); Timber, Electric power, Agricultural processing, Rubber, Construction | Wholesale and Retail, Tourism c |
Myanmar | Agricultural processing; Wood and wood products; Mining (copper, tin, tungsten, iron); Cement, Construction materials, Pharmaceuticals | Wholesale and retail, information and communication d |
UM | ||
Indonesia | Petroleum and natural gas, Textiles, Automotive, Electrical appliances, Apparel, Footwear | Trade, hotels, and restaurants, transportation and communication, financial services e |
Malaysia | Rubber and oil palm processing and manufacturing, Petroleum and natural gas, Light manufacturing, Agriculture processing, Logging, Pharmaceuticals | Real estate, Financial services, Telecommunications f |
Philippines | Semiconductors and electronics assembly, Food and beverage manufacturing, Construction, Electric/gas/water supply, Chemical products, Radio/television/communications Equipment and apparatus | Trade and repair of goods, Real estate, Financial intermediation g |
Thailand | Textiles and garments, Agricultural processing, Beverages, Tobacco, Cement, Light manufacturing such as jewelry and electric appliances | Tourism, Financial Services, Wholesale and Retail h |
Vietnam | Food processing, Garments, Shoes, Machine-building; Mining, Coal, Steel | Tourism, Telecommunications, Wholesale and Retail |
Urban Pop (% of Total Pop) | Pop. in Urban Areas >1 M (% Total Pop.) | Pop. Below Natl Poverty Line (%) | Gini Coefficient | |||||||
---|---|---|---|---|---|---|---|---|---|---|
2000 | 2018 | 2030 | 2050 | 2000 | 2018 | 2007 | 2016 | 2007 | 2016 | |
LM | ||||||||||
CAM | 18.59 | 23.39 | 29.00 | 41.20 | 9.45 | 12.01 | 30.10 | 14.00 | 0.44 | 0.31 |
LAO | 21.98 | 35.00 | 42.90 | 55.70 | N/A | N/A | 27.6 b | 23.20 | 0.37 b | 0.38 a |
MYA | 27.03 | 30.58 | 35.00 | 47.10 | 14.24 | 14.28 | 25.6 c | 32.10 | N/A | N/A |
UM | ||||||||||
IND | 42.00 | 55.33 | 62.80 | 72.80 | 12.09 | 13.38 | 16.60 | 10.90 | 0.36 | 0.40 |
MAL | 61.98 | 76.04 | 81.80 | 87.30 | 18.01 | 23.99 | 3.60 | 0.40 | 0.44 | 0.40 |
PHI | 46.14 | 46.91 | 50.90 | 61.80 | 9.46 | 12.16 | 26.30 | 21.60 | 0.46 d | 0.4 a |
THA | 31.39 | 49.95 | 58.40 | 69.50 | 12.76 | 20.06 | 20.90 | 8.60 | 0.40 | 0.45 a |
VIE | 24.37 | 35.92 | 44.50 | 57.30 | 9.58 | 16.91 | 14.80 | 7.00 | 0.43 b | 0.44 |
Year | Urban | Rural | National | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Improved 1 Sani. | Sewer | Improved 2 H2O | Piped H2O | Improved Sani. | Sewer | Improved H2O | Piped H2O | Improved Sani. | Sewer | Improved H2O | Piped H2O | ||
LM | |||||||||||||
CAM | 1999 | 32.8 | 2.5 | 66.5 | 8.8 | 10.2 | 0.2 | 48.6 | 1.8 | 16.7 | 3.8 | 54.3 | 6.4 |
2016 | 94.2 | 51.5 | 94.6 | 77.8 | 69.0 | 3.4 | 72.6 | 17.2 | 74.2 | 13.4 | 77.2 | 29.8 | |
LAO | 2000 | 58.8 | 1.0 | 83.3 | 37.4 | 12.3 | 0.0 | 38.0 | 6.7 | 22.5 | 0.2 | 48.0 | 13.5 |
2017 | 94.1 | 1.3 | 95.5 | 88.8 | 65.0 | 0.9 | 72.7 | 42.9 | 73.9 * | 1.0 * | 79.6 * | 56.9 * | |
MYA | 2001 | 94.9 | 10.6 | 77.9 | 22.8 | 77.5 | 0.6 | 58.0 | 5.8 | 82.2 * | 3.3 * | 64.0 | 10.1 |
2016 | 76.9 | 0.8 | 93.3 | 59.1 | 51.1 | 0.1 | 78.6 | 12.7 | 58.0 | 0.3 | 82.5 | 25.2 | |
UM | |||||||||||||
IND | 2001 | 67.7 | - | 90.5 | 33.6 | 30.1 | - | 67.0 | 6.5 | 46.3 | - | 77.2 | 18.3 |
2018 | 90.3 (2016) | 9.5 | 95.6 | 13.2 | 76.7 | 13.5 | 82.5 | 6.8 | 83.4 | 11.6 | 82.9 | 10.3 | |
MAL | 2003 | 98.9 | 42.2 | 99.8 | 96.4 | 97.1 | 11.9 | 98.7 | 88.0 | 98.3 * | 31.5* | 99.4 * | 93.4 * |
2016 | - | - | 99.6 | 99.1 | - | - | 92.3 | 84.5 | 100.0 | 77.0 | 95.9 | 95.9 | |
PHI | 2000 | 92.7 | 7.3 | 89.8 | 62.1 | 71.6 | 1.8 | 76.9 | 31.8 | 82.0 * | 4.3 * | 82.9 * | 45.8 * |
2017 | 93.7 | 7.0 | 98.4 | 31.3 | 84.2 | 2.4 | 94.4 | 28.0 | 88.8 | 4.6 | 96.2 | 29.5 | |
THA | 2000 | 100.0 | - | 99.8 | 89.7 | 98.6 | - | 92.4 | 18.1 | 98.8 | - | 94.2 | 35.5 |
2016 | 99.6 | 10.8 | 99.7 | 85.8 | 99.6 | 5.2 | 98.1 | 53.3 | 99.6 | 7.8 | 99.0 | 68.7 | |
VIE | 2000 | 86.2 | 2.9 | 96.7 | 50.6 | 51.4 | 0.2 | 73.5 | 0.8 | 22.5 | 0.9 * | 79.0 | 12.6 |
2016 | 96.9 | 1.4 | 98.2 | 77.4 | 81.7 | 0.5 | 87.1 | 21.4 | 86.8 | 0.8 | 90.7 | 39.3 |
Drought | Flood | Cyclone | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Freq. | Avg. Pop Affected | Avg. Total Dmg. (‘000 US$) | Est. Total Dmg. (‘000 US$) | Freq. | Avg. Pop Affected | Avg. Total Dmg. (‘000 US$) | Est. Total Dmg. (‘000 US$) | Freq. | Avg. Pop Affected | Avg. Total Dmg. (‘000 US$) | Est. Total Dmg. (‘000 US$) | |
LM | ||||||||||||
CAM | 4 | 1,012,500 | 38,000.00 | 152,000.00 | 17 | 922,867 | 141,066.67 | 2,398,133.39 | 4 | 92,196 | N/A | N/A |
LAO | 1 | 20,000 | N/A | 14 | 238,656 | 33,012.50 | 462,175.00 | 4 | 432,016 | 162,500.00 | 650,000 | |
MYA | 1 | N/A | N/A | 22 | 251,341 | 40,900.00 | 899,800.00 | 8 | 589,526 | 1,015,572.00 | 8,124,576 | |
UM | ||||||||||||
IND | 2 | 7506 | 1000.00 | 2000.00 | 126 | 265,702 | 460,817.92 | 58,063,057.92 | 5 | 5433 | 1000.00 | 5000 |
MAL | 2 | 1,102,500 | N/A | 38 | 45,377 | 202,714.29 | 7,703,143.02 | 5 | 10,520 | N/A | N/A | |
PHI | 4 | 1,390,843 | 453.00 | 1812.00 | 98 | 1,217,388 | 164,329.29 | 16,104,270.42 | 167 | 5,856,915 | 864,239.19 | 144,327,944.73 |
THA | 9 | 7,896,520 | 930,875.00 | 8,377,875.00 | 56 | 2,276,863 | 2,710,108.38 | 151,766,069.28 | 16 | 1,120,683 | 22,807.00 | 364,912 |
VIE | 4 | 1,215,000 | 2,330,706.67 | 9,322,826.68 | 69 | 1,175,183 | 199,401.95 | 13,758,734.55 | 63 | 965,614 | 490,492.89 | 30,901,052.07 |
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lorenzo, T.E.; Kinzig, A.P. Double Exposures: Future Water Security across Urban Southeast Asia. Water 2020, 12, 116. https://doi.org/10.3390/w12010116
Lorenzo TE, Kinzig AP. Double Exposures: Future Water Security across Urban Southeast Asia. Water. 2020; 12(1):116. https://doi.org/10.3390/w12010116
Chicago/Turabian StyleLorenzo, Theresa E., and Ann P. Kinzig. 2020. "Double Exposures: Future Water Security across Urban Southeast Asia" Water 12, no. 1: 116. https://doi.org/10.3390/w12010116
APA StyleLorenzo, T. E., & Kinzig, A. P. (2020). Double Exposures: Future Water Security across Urban Southeast Asia. Water, 12(1), 116. https://doi.org/10.3390/w12010116