All the things are eternally connected with everything.
Population growth, increasing living standards, and urbanization under climate change require integrated and interconnected sustainable EEIS. EEISs should be integrated and interconnected for sustainable development (NSF et al., 2015). For example, integrated plan is at the core of food–energy–water (FEW) nexus. WRRFs could be integrated with the power infrastructure for the benefit of producing energy. More importantly, the integration would make it possible for WRRFs to operate independently of the electrical grid to increase the resiliency of the EEIS. WRRFs could also be integrated with other water management infrastructures to provide reliable water supply together with reclamation and desalination. In most cities, WRRFs locate close to sanitary landfills that also produce biogas. Fat–oil–grease (FOG) from restaurants could be codigested with sludge to produce more methane. Other organic wastes in the solid waste might be diverted to anaerobic digester to produce energy and save space in landfills. Ultimately, integrated plan and design would efficiently utilize all forms of wastes to generate reclaimed water, energy, or even nutrients such as N and P.
As human population continues the path to nine billion by 2050, more than half of the population would be in the middle class. Future cities have to be designed eco‐friendly to accommodate the population growth and rising living standards. Ideally, a sustainable and resilient city should be in balance with the nature in terms of water, energy, and critical elements such as C, H, O, N, and P. Therefore, urban EEIS should be integrated and interconnected with the ecological system. With the paradigm shifts from wastes to resource, a new concept is sustainable element management. WRRFs could be designed in such a way that all the essential elements such as C, H, O, N, and P should be returned to the nature in its best original form. The integration and interconnection would bring synergy for EEIS and increase reliability on a spatial and resiliency on a temporal scale that will be explored in more detail in the next two chapters.
To sustainably manage essential elements such as C, H, O, N, and P, designers should develop alternatives to achieve environmental, economy, and equality (3E) goals using integrated approaches by engaging and interacting all the stakeholders within implementing feedback loops to achieve 3E objectives. To achieve specific air, water, and soil quality indices and to decouple economic growth from environmental pressure, stakeholders within communities should be actively participating in the development of SEE solutions. The interconnections between engineering constraints and the economic and social domain to achieve sustainability are illustrated by the Venn diagram in Figure 4.1.
The ultimate goal of SEE is to design EEIS to meet demand both from the human and environment for generations to come. The major challenge faced by SEE designers is to optimize the conflicting interests of different stakeholders in achieving 3E goals. For example, using potable water for irrigation is not sustainable and wastes material and energy. Therefore, WWTP cannot be fit for all because transportation of sewage is expensive and reclaimed water is not close to its demands. For these reasons, fit for all would be intrinsically unsustainable. Therefore, SEE designers should target zero emission of air, water, and soil discharged to the environment after raw materials were used for human activities. One of the most important strategies is to manage waste by color codes such as blue, green, grey, brown, and black to achieve zero water design, while all the EEIS should be integrated and interconnected.
Integrated management plan is to decouple economic growth from environmental pressures. Many nations, e.g. the Netherlands, Sweden, Norway, Finland, and Denmark, showed that GDP increase could be decoupled from environmental deterioration through integrated design approach. Figure 4.2 clearly shows that the increasing GDP in the Netherlands has been decoupled from environmental degradation since 1990 (Bilthoven, 2007). These environmental effects include climate, eutrophication, acidification, and waste management.
The dual objectives of protecting human health and the biosphere require designers to find the best SEE planning strategies by thinking of the system as whole. Therefore, an integrated air, water, and land management plan should develop alternatives that minimize material and energy footprint (FP) using life cycle assessment (LCA) tools. Stakeholders should be closely consulted during development of the integrated and interconnected design alternatives. The US EPA recommended the following strategies to engage stakeholders:
Integrated system approach (ISA) is a process whereby engineers analyze and optimize the whole technical system, which is composed of components, attributes, and relationships to achieve a specified goal. Components, attributes, and relationships, in an engineering sense, are defined as follows:
ISA involves an interdisciplinary or team approach throughout the system design and development process to ensure that all design objectives are addressed in an effective and efficient manner. Different design disciplines should be involved to use different methods, techniques, and tools to implement the systems engineering approach. ISA helps ensure that engineers examine the many choices that are available to meet the specific needs of society. To reduce energy and material FP, designers should:
Effective ISA design optimization in the early stages of design projects provides significant economic, social, and environmental benefits. Decisions made early in the design process have an enormous impact on life cycle system costs, both economic and environmental. Front‐end design (FED) can lead to better‐considered decisions, lower life cycle costs, and fewer late changes through concentration of design activity and decisions in the earliest phases, where changes cost the least. FED creates easier, more rapid integration and testing by avoiding many of the problems normally encountered in these phases to develop sustainable solutions. By reducing risk early in the design process, the overall result is a saving in both time and cost, with a higher quality system design. Systems engineering has a positive effect on cost compliance and the quality of a project. In addition to the direct costs associated with the project, the cost of making design changes escalates as system development progresses. Figure 4.3 shows that the cost of making design changes is lowest during the initial design phase, is 10‐fold higher during the preproduction phase, and is more than 80‐fold higher during the production phase. Approximately 60% of life cycle costs are determined in the concept phase, and a further 20% are determined in the design phase.
In the FED phase, EEIS should be integrated and interconnected according to design hierarchy – prevention, reduction, reuse, recycle, treatment, recovery, disposal, retrofit, and remediation – as shown in Figure 4.4 with input of stakeholders.
Figure 4.4 shows that prevention is the first choice among all the SEE design alternatives. If waste could not be prevented, reduction and minimization could be the second consideration. Once materials enter the economic process, recycling within the economy should be assessed to promote circular economy. To reduce the operating cost of EEIS, regenerative design should maximize the 3E objectives so that the EEIS produces more than the exergy of wastes. One of the effective ways to achieve this is photosynthesis. Ideally, green economy should target at creating green jobs such as bioenergy, solar energy, and recovery materials to achieve 3E goals. To assess the effectiveness of prevention strategies, design alternatives should be assessed and compared in terms of the reduction of chemical, biological, and radioactive risks and minimal FP on air, water, soil, and energy within the proposed budget.
Water problems are mainly caused by unequal distribution of water in space. Excessive volume of water during floods creates problems for local inhabitants, farmers, industries, and municipalities. On the other hand, water shortage also creates problems during dry periods. Ideally, water resources should be available without significant changes in the quality and quantity throughout the year. The quality of water resources can be protected through strict wastewater (WW) treatment, elimination of soil erosion, point or non‐point pollution sources.
In the United States, air, water, and solid waste management are governed by separated departments within a county. Miami‐Dade County is a typical example. The Water and Sewer Department (WASD) manages water and WW, while the Department of Solid Waste is in charge of solid waste collection and disposal at landfills. Since landfill leachate is discharged to the southern Dade WWTP, reclaiming treated WW became too expensive to build the water reclaiming plant at full scale.
In China, about 1.5% of all deaths, or 64 000 persons/year, can be attributed to water pollution related to diseases. Intelligence quotient (IQ) loss in children due to ingestion of water and food contaminated with lead, mercury, and other heavy metals is the highest cost of water pollution damage. Each year, about seven million children are affected, losing on average 6.5 points on the IQ scale. In the next decades, US companies can benefit from cooperation between the United States and China in many areas. For example, the prevention and control of air emissions from electricity generation, industrial sources, vehicles, off‐road machinery, ports, and vessels are the priority. Other major markets include management of hazardous waste and solid waste, persistent organic pollutants, and other toxic substances; environmental science, technology, and standards; emergency response; environmental threats to human health and to ecosystems; ecosystems restoration and recovery; environmental policy and management; environmental education and public awareness; and environmental law development, implementation, compliance, and enforcement.
Rapid urbanization in China is creating huge markets for solid waste management. More importantly, the government is opening this market to private investors through public–private partnership (PPP). The major indicators to measure effectiveness of solid waste management are percentage of detoxification rate, sanitary landfill, and incineration. Table 4.1 shows that the detoxification rate of municipal solid waste (MSW) increased from 63.5 to 90% at city level. At county level, the rate increased from 27.4 to 79.4%. If every city and county is to achieve adequate detoxification treatment capacity, an additional $19.17 billion is needed in the next 5 years. Table 4.2 indicates that for major cities, treatment capacity is planned to increase 60% from 23.8 to 38 ktons for Beijing from 2015 to 2020. In terms of total treatment capacity, Guangdong will have the highest of 105.4 ktons/day, while Tibet will only have 1.5 ktons/day by 2020.
Table 4.1 Main indicators of domestic waste treatment facilities in the 13th FYP.
Serial number | Main indicators | 2010 | 2015 | 12th FYP | Goal | |
1 | Detoxification rate (%) | Cities and counties | 63.5 | 90.2 | Achieved | |
Cities | 77.9 | 94.1 | 90 | Achieved | ||
Counties | 27.4 | 79.04 | 70 | Achieved | ||
2 | Number of detoxification treatment facilities | Cities and counties | 1076 | 2077 | ||
Cities | 628 | 890 | ||||
Counties | 448 | 1187 | ||||
Sanitary landfill | Cities and counties | 919 | 1748 | |||
Cities | 498 | 640 | ||||
Counties | 421 | 1108 | ||||
Waste incineration plant | Cities and counties | 119 | 257 | |||
Cities | 104 | 220 | ||||
Counties | 15 | 37 | ||||
Others | Cities and counties | 38 | 72 | |||
Cities | 26 | 30 | ||||
Counties | 12 | 42 | ||||
3 | Detoxification treatment capacity (10 000 tons/day) | Cities and counties | 45.7 | 75.8 | 87.1 | Partially achieved |
Cities | 38.8 | 57.7 | 65.3 | Partially achieved | ||
Counties | 6.9 | 18.1 | 21.8 | Partially achieved | ||
Sanitary landfill | Cities and counties | 35.2 | 50.2 | |||
Cities | 28.9 | 34.4 | ||||
Counties | 6.2 | 15.8 | ||||
Waste incineration plant | Cities and counties | 8.9 | 23.5 | |||
Cities | 8.4 | 21.9 | ||||
Counties | 0.46 | 1.6 | ||||
Others | Cities and counties | 1.5 | 2.1 | |||
Cities | 1.3 | 1.4 | ||||
Counties | 0.25 | 0.7 | ||||
4 | Ratio of incineration | Ratio of incineration | 31 | 35 | Partially achieved | |
Ratio of incineration in east area | 48 | 48 | achieved | |||
5 | Cities and counties with detoxification treatment capacity | There are 43 cities and 367 counties without detoxification treatment capacity | There are 43 cities and 367 counties without detoxification treatment capacity | Every city and county has detoxification treatment capacity | Partially achieved | |
6 | Investment (billion $) | 18.485 | 37.657 | −19.171 (needed) |
Table 4.2 Treatment capacity of domestic waste treatment facilities in the 13th FYP (10 000 tons/day).
13th FYP | ||||||
Serial number | Region | Treatment capacity in 2015 | Established treatment capacity | New treatment capacity | Closured treatment capacity | Treatment capacity in 2020 |
1 | Beijing | 2.38 | 0.93 | 0.99 | 0.50 | 3.80 |
2 | Tianjin | 1.04 | 0 | 1.24 | 0.53 | 1.75 |
3 | Hebei | 3.98 | 0 | 0.97 | 0.60 | 4.35 |
4 | Shanxi | 2.35 | 0 | 0.90 | 0.08 | 3.17 |
5 | Inner Mongolia | 1.90 | 0.17 | 0.74 | 0 | 2.81 |
6 | Liaoning | 2.34 | 0.11 | 1.85 | 1.01 | 3.29 |
7 | Dalian | 0.40 | 0 | 0.70 | 0.15 | 0.95 |
8 | Jilin | 1.58 | 0 | 0.74 | 0 | 2.32 |
9 | Heilongjiang | 1.58 | 0.40 | 1.20 | 0.69 | 2.49 |
10 | Shanghai | 2.05 | 0.50 | 1.10 | 1.02 | 2.63 |
11 | Jiangsu | 6.28 | 0.79 | 1.46 | 0.49 | 8.04 |
12 | Zhejiang | 5.12 | 0.74 | 1.10 | 0.33 | 6.63 |
13 | Ningbo | 0.80 | 0.23 | 0.32 | 0.06 | 1.29 |
14 | Anhui | 2.47 | 0.58 | 2.34 | 0.76 | 4.63 |
15 | Fujian | 2.32 | 0.44 | 0.45 | 0.07 | 3.14 |
16 | Xiamen | 0.38 | 0 | 0.36 | 0 | 0.74 |
17 | Jiangxi | 1.43 | 0.47 | 1.11 | 0.59 | 2.42 |
18 | Shandong | 4.30 | 0.20 | 0.85 | 0.80 | 4.55 |
19 | Qingdao | 0.54 | 0.18 | 0.18 | 0.08 | 0.82 |
20 | Henan | 3.73 | 0.23 | 1.53 | 0.40 | 5.09 |
21 | Hubei | 2.67 | 0.10 | 1.75 | 0.47 | 4.05 |
22 | Hunan | 3.63 | 0.03 | 1.60 | 0.49 | 4.77 |
23 | Guangdong | 6.11 | 3.10 | 4.16 | 2.83 | 10.54 |
24 | Shenzhen | 1.57 | 0 | 1.03 | 0.43 | 2.17 |
25 | Guangxi | 1.45 | 0.34 | 0.73 | 0.33 | 2.19 |
26 | Hainan | 0.55 | 0.05 | 0.38 | 0.27 | 0.71 |
27 | Chongqing | 1.19 | 0.69 | 1.11 | 0.26 | 2.73 |
28 | Sichuan | 3.20 | 0.60 | 1.90 | 0.55 | 5.15 |
29 | Guizhou | 1.36 | 0.98 | 0.58 | 0.72 | 2.20 |
30 | Yunnan | 1.63 | 0.18 | 0.84 | 0.51 | 2.14 |
31 | Tibet | 0 | 0.03 | 0.12 | 0 | 0.15 |
32 | Shaanxi | 2.70 | 0.10 | 0.60 | 0.26 | 3.14 |
33 | Gansu | 0.85 | 0.31 | 0.95 | 0.30 | 1.81 |
34 | Qinghai | 0.33 | 0 | 0.68 | 0.12 | 0.89 |
35 | Ningxia | 0.46 | 0.11 | 0.25 | 0.11 | 0.71 |
36 | Xinjiang | 1.16 | 0.26 | 0.96 | 0.50 | 1.88 |
37 | Xinjiang Production and Construction Corps | 0 | 0.05 | 0.19 | 0 | 0.24 |
38 | Heilongjiang Land Reclamation | 0 | 0 | 0.11 | 0 | 0.11 |
Total | 75.83 | 12.90 | 38.07 | 16.31 | 110.49 |
Figure 4.5 shows that the top five current treatment capacities are Jiangsu, Guangdong, Zhejiang, and Hebei in 2015.
By 2020, Guangdong will have 105.4 kton/day followed by Jiangsu, Zhejiang, Sichuan, and Henan at 80, 66.3, 51.5, and 47.7 ktons/day, respectively (Figures 4.6, 4.7, 4.8, 4.9, 4.10, 4.11, 4.12, 4.13, 4.14, 4.15, and 4.16).
There are huge market and investment opportunities in China in integrated solid waste management (ISWM). Currently, most municipal solid waste (MSW) were open dumped in the city surrounding. Satellite images show that many cities are surrounded by domestic wastes that catastrophically cause deterioration in air, water, and soil quality and ultimately pose threat to human health. These opportunities can be seen from the 13th Five‐Year Plan (FYP) of China. Since there is limited land available for waste, incineration of solid wastes is the major trend. Taking Beijing as an example, the percentage of incineration of municipal solid waste (MSW) is 44% in 2015. The 13th FYP targets at 67% incineration which is 27% increase. There are many benefits for incineration of MSW: (i) it harvests energy for the MSW, (ii) it occupies much less land, (iii) it does not produce leachate that needs continuous treatment, and (iv) it does not produce odor, fliers and birds. As a result, property value of properties close to the facilities will not significantly depreciate as those close to landfills. For other major cities and provinces, the same increasing trend of incineration is planned (Table 4.3).
The market opportunities can be exemplified in Table 4.4, which lists the new collection and transport management and treatment facilities of food waste in the 13th FYP of China.
Table 4.4 New collection and transport, management, and treatment facilities of food waste in the 13th FYP.
Serial number | Region | Collection and transport capacity (10 000 tons/day) | Solid waste management | Treatment capacity of food waste (10 000 tons/day) |
1 | Beijing | 1.39 | 7 | 0.15 |
2 | Tianjin | 0.95 | 3 | 0.08 |
3 | Hebei | 1.84 | 22 | 0.16 |
4 | Shanxi | 0.75 | 7 | 0.06 |
5 | Inner Mongolia | 1.02 | 19 | 0.05 |
6 | Liaoning | 4.62 | 17 | 0.07 |
7 | Dalian | 0.85 | 6 | 0.02 |
8 | Jilin | 0.55 | 21 | 0.05 |
9 | Heilongjiang | 1.11 | 33 | 0.08 |
10 | Shanghai | 0.86 | 2 | 0.13 |
11 | Jiangsu | 1.87 | 17 | 0.22 |
12 | Zhejiang | 0.87 | 10 | 0.31 |
13 | Ningbo | 0.57 | 3 | 0.15 |
14 | Anhui | 3.13 | 80 | 0.10 |
15 | Fujian | 1.04 | 0 | 0.08 |
16 | Xiamen | 0.40 | 0 | 0.02 |
17 | Jiangxi | 1.62 | 102 | 0.08 |
18 | Shandong | 1.40 | 10 | 0.08 |
19 | Qingdao | 0.20 | 0 | 0.01 |
20 | Henan | 1.73 | 55 | 0.16 |
21 | Hubei | 2.30 | 9 | 0.09 |
22 | Hunan | 2.14 | 41 | 0.11 |
23 | Guangdong | 0 | 48 | 0.34 |
24 | Shenzhen | 1.28 | 3 | 0.07 |
25 | Guangxi | 1.21 | 22 | 0.05 |
26 | Hainan | 0.21 | 58 | 0.02 |
27 | Chongqing | 1.34 | 8 | 0.15 |
28 | Sichuan | 2.70 | 39 | 0.11 |
29 | Guizhou | 1.16 | 10 | 0.06 |
30 | Yunnan | 0.94 | 36 | 0.08 |
31 | Tibet | 0.17 | 0 | 0.01 |
32 | Shaanxi | 0.85 | 20 | 0.05 |
33 | Gansu | 0.70 | 51 | 0.06 |
34 | Qinghai | 0.48 | 11 | 0.01 |
35 | Ningxia | 0.17 | 22 | 0.04 |
36 | Xinjiang | 1.33 | 11 | 0.12 |
37 | Xinjiang Production and Construction Corps | 0.29 | 0 | 0.01 |
38 | Heilongjiang Land Reclamation | 0.18 | 0 | 0 |
Total | 44.22 | 803 | 3.44 |
Table 4.5 shows the monetary values of these MSW markets. A total of $35 billion investment is needed for the next 5 years to achieve the planned targets of MSW management. The major trend in China’s EEIS markets is PPP mechanism that opens great opportunities for EEIS designers to reduce the environmental impacts of MSW in China.
Table 4.5 Domestic solid waste treatment facilities investment in the 13th FYP (billion $).
Serial number | Region | New treatment facilities | Transfer facilities | Treatment facilities of food waste | Landfills | Classification facilities | Monitoring system | Total |
1 | Beijing | 1.093 | 0.1 | 0.129 | 1.464 | 0.071 | 0.029 | 2.886 |
2 | Tianjin | 0.736 | 0.068 | 0.057 | 0.014 | 0.071 | 0.014 | 0.961 |
3 | Hebei | 0.514 | 0.131 | 0.094 | 0.057 | 0.029 | 0.014 | 0.840 |
4 | Shanxi | 0.511 | 0.052 | 0.051 | — | 0.028 | 0.014 | 0.658 |
5 | Inner Mongolia | 0.351 | 0.073 | 0.043 | 0.050 | 0.029 | 0.014 | 0.560 |
6 | Liaoning | 1.041 | 0.358 | 0.056 | 0.053 | 0.029 | 0.014 | 1.551 |
7 | Dalian | 0.284 | 0.103 | 0.011 | 0.179 | 0.071 | 0.014 | 0.663 |
8 | Jilin | 0.389 | 0.039 | 0.043 | 0.072 | 0.028 | 0.014 | 0.585 |
9 | Heilongjiang | 0.786 | 0.079 | 0.064 | 0.034 | 0.029 | 0.014 | 1.006 |
10 | Shanghai | 0.536 | 0.061 | 0.074 | 0.006 | 0.071 | 0.014 | 0.763 |
11 | Jiangsu | 0.754 | 0.167 | 0.189 | 0.050 | 0.029 | 0.014 | 1.202 |
12 | Zhejiang | 1.237 | 0.125 | 0.264 | 0.041 | 0.029 | 0.014 | 1.711 |
13 | Ningbo | 0.321 | 0.140 | 0.126 | 0.014 | 0.054 | 0.014 | 0.670 |
14 | Anhui | 1.543 | 0.234 | 0.084 | 0.247 | 0.036 | 0.024 | 2.169 |
15 | Fujian | 0.270 | 0.074 | 0.069 | — | 0.029 | 0.014 | 0.456 |
16 | Xiamen | 0.311 | 0.040 | 0.017 | — | 0.028 | 0.014 | 0.411 |
17 | Jiangxi | 0.652 | 0.115 | 0.051 | 0.038 | 0.028 | 0.014 | 0.901 |
18 | Shandong | 0.728 | 0.142 | 0.064 | 0.128 | 0.028 | 0.014 | 1.107 |
19 | Qingdao | 0.205 | 0.014 | 0.008 | 0.000 | 0.028 | 0.014 | 0.271 |
20 | Henan | 0.901 | 0.122 | 0.137 | 0.117 | 0.028 | 0.014 | 1.321 |
21 | Hubei | 0.918 | 0.164 | 0.075 | 0.050 | 0.028 | 0.014 | 1.251 |
22 | Hunan | 1.007 | 0.177 | 0.092 | 0.100 | 0.042 | 0.051 | 1.471 |
23 | Guangdong | 1.914 | — | 0.195 | 0.202 | 0.028 | 0.014 | 2.355 |
24 | Shenzhen | 1.290 | 0.091 | 0.047 | 0.030 | 0.028 | 0.014 | 1.501 |
25 | Guangxi | 0.388 | 0.085 | 0.042 | 0.050 | 0.028 | 0.014 | 0.610 |
26 | Hainan | 0.261 | 0.014 | 0.017 | — | 0.028 | 0.014 | 0.335 |
27 | Chongqing | 0.704 | 0.095 | 0.120 | 0.038 | 0.071 | 0.014 | 1.044 |
28 | Sichuan | 1.074 | 0.192 | 0.080 | 0.065 | 0.028 | 0.014 | 1.455 |
29 | Guizhou | 0.471 | 0.082 | 0.040 | 0.028 | 0.028 | 0.014 | 0.665 |
30 | Yunnan | 0.370 | 0.067 | 0.045 | 0.072 | 0.028 | 0.014 | 0.598 |
31 | Tibet | 0.134 | 0.074 | 0.008 | 0.007 | 0.028 | 0.014 | 0.267 |
32 | Shaanxi | 0.364 | 0.061 | 0.034 | 0.017 | 0.028 | 0.014 | 0.520 |
33 | Gansu | 0.552 | 0.050 | 0.042 | 0.107 | 0.028 | 0.014 | 0.795 |
34 | Qinghai | 0.775 | 0.054 | 0.004 | 0.028 | 0.028 | 0.014 | 0.905 |
35 | Ningxia | 0.130 | 0.012 | 0.030 | 0.048 | 0.028 | 0.014 | 0.264 |
36 | Xinjiang | 0.584 | 0.182 | 0.105 | 0.034 | 0.054 | 0.014 | 0.975 |
37 | Xinjiang Production and Construction Corps | 0.098 | 0.02 | 0.005 | — | 0.014 | 0.014 | 0.152 |
38 | Heilongjiang Land Reclamation | 0.068 | 0.012 | — | — | 0.014 | 0.014 | 0.110 |
Total | 24.275 | 3.682 | 2.621 | 3.448 | 1.344 | 0.604 | 35.977 |
The hierarchy of ISWM is reduction, reuse, recycling, recovery, landfill or incineration, and controlled dump by the best available technologies. For example, waste reduction includes longer‐lasting and reusable products and decreased consumption. Waste collection should use alternative nonfossil fuels. Recycling/materials recovery uses materials recovery facilities (MRFs) to process source‐separated materials or mixed waste. MRFs use a combination of manual and mechanical sorting options. Materials should be separated as a recyclable source to reduce contamination. Organic material should be composted after digestion to produce a useful soil conditioner and avoid landfill disposal. Finished compost applied to soils is also an important method to reduce GHG emissions by reducing nitrogen requirements and associated GHG emissions. Waste can be incinerated to generate energy, while last and least option is landfill. Landfill sites should capture the methane that they generate or use it as a renewable energy resource. The US EPA (2012) recommended that an ISWM plan should include the following sections (Table 4.6).
Table 4.6 The US EPA procedure to develop a strategic plan (The US EPA, 2012).
Step | Actions |
1 | List municipal policies, aims, objectives, and initiatives |
2 | Identify the character and scale of the city, natural conditions, climate, development, and distribution of population |
3 | Collect the MSW waste generation data such as MSW composition, moisture content, and density (dry weight), present and predicted of both recent years and projections over the lifetime of the plan (usually 15–25 years) |
4 | Identify all proposed alternatives for waste collection, transportation, treatment, and disposal of the defined types and quantities of solid waste |
5 | Assess alternatives of the ISWM by assessing all technical, environmental, social, and financial issues |
6 | Specify the amount, scale, and distribution of collection, transportation, treatment, and disposal systems of different alternatives |
7 | Identify institutional reforms and regulatory arrangements needed to support the plan |
8 | Analyze both investment and recurrent costs associated with the proposed facilities and services over the lifetime of the plan |
9 | Develop and operate the final alternative including estimated subsidy transfers and user fees |
10 | Develop what facilities are required, who will provide them and the related services, and how such facilities and services will be paid for |
11 | Implement the plan covering a period of at least 5–10 years, with an immediate action plan detailing actions set out for the first 2–3 years |
12 | Outline public consultations carried out during preparation of the plan and proposed in future |
13 | Outline the detailed program to be used to site key waste management facilities, e.g. landfills, compost plants, and transfer stations |
14 | Assess GHG emissions and the role of MSW in the city’s overall urban environmental plans |
Figure 4.17 shows the US EPA proposed solid waste management hierarchy.
In short, ISWM aims to prevent, reduce, recycle, recover, and dispose of wastes through:
There are three perspectives in ISWM, namely, source, stakeholders, and life cycle. Figure 4.18 shows that reduction, reuse, and recycle (3Rs) are the most important strategies in minimizing residential, industrial, and service solid wastes. Separating hazardous waste from MSW is critical in SEE design. From a stakeholder perspective, the “three Rs” are important for residential, industrial, and service stakeholders. Governments should establish the “three Rs” rules which are guided by the SEE design principles. The innovative solutions including energy recovery, green jobs, and recycling materials were illustrated by the UNEP (2013) in Figure 4.19.
From an LCA perspective, when materials are extracted from the nature, the reduction of solid waste should be emphasized. In the consumption phase, reuse and recycle are the key. After consumption, proper treatment and disposal should be designed so that human health and the environment are protected. For developed countries, sustainable consumption holds the key to reduce overshooting in terms of ecological FP. For developing countries, the recycling rate should be significantly increased in SEE design (Figure 4.20).
MSW per capita generation directly correlates with the country’s GDP. Hoornweg and Bhada‐Tata (2012) divided countries into four groups according to the national gross production as low, lower middle, upper middle, and high income at GDP calculated using the World Bank Atlas method of $1 045 or less in 2014; middle‐income economies are those with a gross national income (GNI) per capita of more than $1 045 but less than $4 125, upper‐middle income is from $4 125 to $12 736, and high‐income economies are those with a GNI per capita of $12 736 or more. The MSW collection rates in countries with GNIs high, upper middle, low middle, and low change from 98, 85, 69 to 42%, respectively (World Bank, 2012). The MSW generation data for different income countries are estimated in 2010 and 2025 as shown in Tables 4.7 and 4.8.
Table 4.7 Estimated solid waste management costs in 2010 and 2025.
Source: World Bank (2012).
Country income group | MSW management cost in 2010 (billion $) | MSW management cost estimated in 2025 (billion $) |
Low income | 1.5 | 7.7 |
Lower middle income | 20.1 | 84.1 |
Upper middle income | 24.5 | 63.5 |
High income | 159.3 | 220.2 |
Total global cost ($) | 205.4 | 375 |
Table 4.8 Solid waste generation in 2010 and 2025.
Source: World Bank (2012).
MSW data in 2010 | Projections for 2025 | ||||||
Region | Urban waste generation | Projected population | Projected urban waste | ||||
Total urban population (millions) | Per capita (kg/capita/day) | Total (tons/day) | Total population (millions) | Urban population (millions) | Per capita (kg/capita/day) | Total (tons/day) | |
Low income | 343 | 0.60 | 204 802 | 1637 | 676 | 0.86 | 584 272 |
Lower middle income | 1293 | 0.78 | 1 012 321 | 4010 | 2080 | 1.3 | 2 618 804 |
Upper middle income | 572 | 1.16 | 665 586 | 888 | 619 | 1.6 | 987 039 |
High income | 774 | 2.13 | 1 649 547 | 1112 | 912 | 2.1 | 1 879 590 |
Total | 2982 | 1.19 | 3 532 256 | 7647 | 4287 | 1.4 | 6 069 705 |
Solid waste composition estimated in 2025 | |||||||
Low income | 62 | 6 | 9 | 3 | 3 | 17 | |
Lower middle income | 55 | 10 | 13 | 4 | 3 | 15 | |
Upper middle income | 50 | 15 | 12 | 4 | 4 | 15 |
The composition of MSW also depends upon income levels. The MSW can be classified as organic, paper, plastic, glass, and metal. Specifically, organic includes food scraps, garden (leaves, grass, brush) waste, wood, and process residues. Paper includes paper scraps, cardboard, newspapers, magazines, bags, boxes, wrapping paper, telephone books, shredded paper, and paper beverage cups. Plastic includes packaging, containers, bags, lids, and cups. Glass includes bottles, broken glassware, light bulbs, and colored glass. Metal includes cans, foil, tins, nonhazardous aerosol cans, appliances (white goods), railings, and bicycles. Other includes textiles, leather, rubber, multilaminates, e‐waste, appliances, ash, and other inert materials. Table 4.9 lists the distribution of these classes according to countries’ income groups. The per capita weight and total solid waste generated will continue to increase with urbanization. In 2002, there were 2.9 billion urban residents who generated about 0.64 kg of MSW per person per day (0.68 billion tons/year). In 2010, Hoornweg and Bhada‐Tata (2012) estimated that about three billion residents generate 1.2 kg/person/day (1.3 billion tons/year). By 2025 this will likely increase to 4.3 billion urban residents generating about 1.42 kg/capita/day of MSW (2.2 billion tons/year). The increasing trend of MSW requires ISWM.
Table 4.9 Solid waste composition in 2010 and 2025.
Source: World Bank (2012).
Region | Solid waste composition in 2010 | |||||
Organic | Paper | Plastic | Glass | Metal | Other | |
Low income | 64 | 5 | 8 | 3 | 3 | 17 |
Lower middle income | 59 | 9 | 12 | 3 | 2 | 15 |
Upper middle income | 54 | 14 | 11 | 5 | 3 | 13 |
High income | 28 | 31 | 11 | 7 | 6 | 17 |
Region | Solid waste composition estimated in 2025 | |||||
Low income | 62 | 6 | 9 | 3 | 3 | 17 |
Lower middle income | 55 | 10 | 13 | 4 | 3 | 15 |
Upper middle income | 50 | 15 | 12 | 4 | 4 | 15 |
High income | 28 | 30 | 11 | 7 | 6 | 18 |
Data analysis plays a critical role in ISWM because EEIS design needs design parameters such as waste generation factors (WGF).
If the annual tonnage of all waste disposed at the facility is not known, the corresponding tons that were counted during the vehicle survey can be used to extrapolated:
Appropriate adjustments should be made for the differences across days, weeks, or seasons.
The process of quantifying waste for an industry sector involves several steps, starting with the individual measurements of waste taken at the generators, then, the following steps should be followed:
First, extrapolate the volume of waste disposed of using each waste container (or pile or process, etc.) at each generator:
Second, add the extrapolated volume of waste disposed of all containers that handle waste belonging to the same waste stream at the location:
Third, calculate the density of the waste at the generator location based on data from the waste sample:
Fourth, apply the location‐specific density figure to calculate the tons of waste disposed annually by the generator:
Fifth, calculate a “scale‐up factor” for waste generation by the industry and size group. For many commercial sectors, the appropriate scale‐up factor is proportional to the number of employees. For most agricultural sectors, it is according to number of crop acres or number of animals. The following example shown involves calculating tons per employee (TPE) for a given industry. It draws upon data reflecting the tone disposed:
Sixth, calculate the tons disposed of from the entire industry. The following example draws upon data reflecting the total number of employees in the larger population (e.g. countywide, statewide, etc.) of industry members in the appropriate size group:
Seventh, add the results for the size groups to calculate total tons disposed of by the industry:
In calculating and projecting waste quantities, especially from the service and industrial sector, WGF should be determined. Then it will be easy to extrapolate the waste generation rates for the industries and services. WGF depends on size of operation, waste management practices, and process technology. Therefore, the information for this sector should have the size of production and process technology with respect to nonhazardous and hazardous waste generation. WGF can be defined as
The composition of the waste corresponding to a sector of the waste stream is calculated using the method described in the succeeding text. The method should be applied separately to each waste sector being studied and to each size group or distinct waste stream within an industry group.
The calculation should be repeated for each material.
where n is the number of samples and mean sample weight .
Confidence level is , where t depends on the number of samples, n, and the desired confidence level. The value of t can be estimated from t‐static.
Combining the composition estimates for two or more segments of the waste stream requires the use of the weighted averages method. The result for each segment of the waste stream is weighted according to the relative size of that segment in the larger waste stream being studied.
A specific weighting factor should be calculated for each sector or segment of the waste stream being studied. The weighting factor, PG, for each segment or size group, G, within the waste stream is calculated as follows:
A weighting factor should be calculated for every waste sector, so the sum of all the values of PG should equal one.
The mean estimate for a given material, j, in a combination of segments (1, 2, 3…) of the waste stream can be found as follows:
After a mean estimate for combined waste sectors is calculated as shown earlier, the variance surrounding the estimate can be calculated as follows:
Confidence level is .
Moisture content is a very important factor that influences decisions on converting organic waste into compost and biogas, using solid waste as a fuel and designing landfills or incineration plants. Currently there are various types of moisture meters available to check moisture content. However, the traditional test could also be done on certain types of materials. The moisture content is measured by heating the sample at 105°C in an oven until the weight loss stabilizes. The weight of the sample before and after gives the moisture content. The different fractions of the waste stream should have their moisture content measured separately.
The energy value of the waste components depends on its calorific value, which is influenced by the moisture content and hydrogen content of the waste. The formula for determining the calorific value of waste components is
where
To determine the calorific value of a waste stream, the following steps must be carried out:
Default higher calorific values and hydrogen contents for solid waste are shown in Table 4.21. Moisture content varies by location (climatic variation) and by season and leads to a directly proportional change in the CVraw.
Table 4.21 Moisture content, hydrogen content, and calorific values for MSW.
Material in MSW | Moisture (%) | Hydrogen content (%) | CVupper (kJ/kg) | CVraw (kJ/kg) |
Eligible components | ||||
Kitchen organics – vegetable | 80.9 | 6.2 | 19 800 | 1 540 |
Kitchen organics – meat | 52.9 | 9.4 | 11 900 | 3 340 |
Municipal garden organics | 46.5 | 6 | 16 800 | 7 140 |
Paper composite | 12 | 7.5 | 21 450 | 17 130 |
Mixed paper | 29.7 | 5.8 | 15 150 | 9 030 |
Liquid paper board | 4.5 | 7.5 | 21 450 | 12 520 |
Newspaper | 7.2 | 6.1 | 17 330 | 14 660 |
Magazines | 5 | 5.1 | 13 500 | 11 640 |
Cardboard | 6.7 | 5.9 | 18 670 | 16 050 |
Disposable nappies | 55 | 6.4 | 22 900 | 41 902 |
Wood (timber) | 19 | 6 | 20 630 | 15 070 |
Noneligible components | ||||
Textiles4 | 26.8 | 6.4 | 16 780 | 10600 |
Liquid paper board | 4.5 | 7.5 | 21 450 | 6 360 |
Disposable nappies | 55 | 6.4 | 22 900 | 4 140 |
Compounds (radios) | 10 | 5.1 | 12 000 | 9 570 |
Mixed plastics | 10 | 10 | 39 000 | 32 880 |
Plastic composite | <1 | 10 | 37 100 | 34 900 |
Plastic film | <1 | 10 | 40 000 | 37 800 |
Polystyrene (PS) | <1 | 8.4 | 40 000 | 38 150 |
Polyethylene (PE) | <1 | 14.2 | 45 000 | 41 880 |
Polyvinyl chloride (PVC) | <1 | 5.6 | 25 000 | 23 770 |
Polyethylene terephthalate (PET) | <1 | 6 | 25 000 | 23 680 |
Polypropylene (PP) | <1 | 14 | 44 000 | 40 920 |
Rubber | 18.7 | 8.7 | 23 100 | 16 770 |
For organic and inorganic waste, information on chemical composition is quite important to design recycling, composting, energy recovery, and disposal. The important elements are carbon, hydrogen, oxygen, nitrogen, sulfur, and ash. That data may be utilized to calculate the composition of the collected waste.
where
Similar tables may be produced for other sectors. Thereafter, similar waste components from different sectors could be grouped for different purposes, including the overall available amount of certain components for recycling or for final disposal (Tables 4.26, 4.27, 4.28, 4.29, and 4.30).
Table 4.26 Calorific values for waste components in city X.
Component | CVraw | CVupper | Hydrogen (H) | Moisture content (MC) |
kJ/kg | kJ/kg | (%) | (%) | |
Food | 3 809 | 19 800 | 6. | 70 |
Paper | 14 905 | 17 330 | 6 | 6 |
Cardboard | 16383 | 18 670 | 5.9 | 5 |
Plastics | 37 020 | 39 000 | 7.2 | 1 |
Textiles | 13 553 | 16 780 | 6.6 | 10 |
Rubber | 41 803 | 44 000 | 10 | 0 |
Yard waste | 3 832 | 16 800 | 6 | 65 |
Wood | 14 961 | 20 630 | 6 | 20 |
CV is calorific value; “raw” is real “as delivered” value of the collected waste, while “upper” is value for dried material from literature.
Table 4.27 Solid waste generation in city X (167tpd nonhazardous and 33tpd hazardous).
Sector estimated | Ratio (%age) | Estimated tonnage (per day) | |
Nonhazardous | Hazardous | ||
Residential | 22.6 | 45.2 | 0.0 |
Commercial | 17.4 | 34.8 | 0.0 |
Construction and demolition | 9.0 | 16.0 | 1.0 |
Healthcare | 0.5 | 1.0 | 1.0 |
Industrial | 50.0 | 70.0 | 30.0 |
Sludge | 0.5 | 0.0 | 1.0 |
Table 4.28 Residential waste in city X.
Component | Wet weight | Dry weight | Composition | |||||||
kg | kg | MC | CV | C | H | O | N | S | Ash | |
Food waste | 4.1 | 1.2 | 70 | 3 809 | 0.6 | 0.1 | 0.5 | 0.0 | 0.0 | 0.1 |
Paper | 15.4 | 14.5 | 6 | 14 905 | 6.3 | 0.9 | 6.4 | 0.0 | 0.0 | 0.9 |
Cardboard | 2.7 | 2.6 | 5 | 16 383 | 1.1 | 0.2 | 1.2 | 0.0 | 0.0 | 0.1 |
Plastic | 3.2 | 3.1 | 1 | 37 020 | 1.9 | 0.2 | 0.7 | 0.0 | 0.0 | 0.3 |
Textiles | 0.9 | 0.8 | 10 | 13 553 | 0.4 | 0.1 | 0.3 | 0.0 | 0.0 | 0.0 |
Rubber | 0.2 | 0.2 | 0 | 41 803 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Leather | 0.2 | 0.2 | 20 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
Yard waste | 8.4 | 2.9 | 65 | 3 832 | 1.4 | 0.2 | 1.1 | 0.1 | 0.0 | 0.1 |
Wood | 0.9 | 0.7 | 20 | 14 961 | 0.4 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 |
Glass | 4.0 | 4.0 | ||||||||
Metals | 5.1 | 5.1 |
MC, CV, C, H, O, N, and S are moisture content, calorific value, carbon, hydrogen, oxygen, nitrogen, and sulfur, respectively.
Table 4.29 Aggregated data on waste components.
Components | Residential | Commercial | Construction | Industrial | Healthcare | Total |
Food waste | 4.1 | 5.2 | 0.0 | 2.0 | 0.3 | 11.6 |
Paper | 15.4 | 5.0 | 0.2 | 7.0 | 0.1 | 27.7 |
Cardboard | 2.7 | 3.0 | 1.0 | 9.0 | 0.0 | 15.7 |
Plastic | 3.2 | 3.3 | 1.0 | 10.0 | 0.1 | 17.6 |
Textiles | 0.9 | 1.2 | 0.0 | 5.0 | 0.2 | 7.3 |
Rubber | 0.2 | 1.0 | 1.0 | 5.0 | 0.1 | 7.3 |
Leather | 0.2 | 1.0 | 1.0 | 5.0 | 0.1 | 7.3 |
Yard waste | 8.4 | 4.0 | 1.0 | 5.0 | 0.1 | 18.5 |
Wood | 0.9 | 2.0 | 4.0 | 5.0 | 0.0 | 11.9 |
Glass | 4.0 | 4.0 | 2.0 | 7.0 | 0.0 | 17.0 |
Metals | 5.1 | 5.1 | 3.0 | 10.0 | 0.0 | 23.2 |
Hazardous | 0.0 | 0.0 | 1.0 | 30.0 | 1.0 | 32.0 |
Total | 45.2 | 34.8 | 15.2 | 100.0 | 2.0 | 197.2 |
Table 4.30 Time series data and projections (1991–2010) for residential waste in city X.
Year | Residential | Year | Residential | ||||
Organic | Inorganic | Total | Organic | Inorganic | Total | ||
1991 | 20.0 | 15.0 | 35.0 | 2001 | 14.0 | 28.0 | 42.0 |
1992 | 19.0 | 16.0 | 35.0 | 2002 | 14.0 | 29.0 | 43.0 |
1993 | 18.0 | 17.0 | 35.0 | 2003 | 13.8 | 30.0 | 43.8 |
1994 | 17.0 | 20.0 | 37.0 | 2004 | 13.6 | 31.0 | 44.6 |
1995 | 17.0 | 22.0 | 39.0 | 2005 | 13.4 | 31.8 | 45.2 |
1996 | 16.0 | 23.0 | 39.0 | 2006 | 13.4 | 33.0 | 46.4 |
1997 | 15.0 | 24.0 | 39.0 | 2007 | 12.9 | 34.2 | 47.1 |
1998 | 15.0 | 25.0 | 40.0 | 2008 | 12.5 | 35.4 | 47.9 |
1999 | 14.5 | 26.5 | 41.0 | 2009 | 12.0 | 36.6 | 48.6 |
2000 | 14.5 | 27.5 | 42.0 | 2010 | 11.6 | 37.8 | 49.4 |
Organic waste covers food waste and yard waste that can be converted into compost.
In 2007, the City Council of San José (City) developed an ISWM Zero Waste Strategic Plan for 2040. To provide resource conservation, waste reduction, pollution prevention, and a sustainable economy, the ISWM Zero Waste Strategic Plan addresses the following key components:
“IWRM is a process that promotes the coordinated development and management of water, land and related resources in order to maximize the resultant economic and social welfare in an equitable manner without compromising the sustainability of vital ecosystems” (GWP, 2017). IWRM could enhance water resources management toward economic efficiency, equity, and environmental sustainability. IWRM should be based on a participatory approach, involving users, planners, and policy makers at all levels. Water has an economic value in all its competing uses and should be recognized as an economic good.
To establish IWRM objectives, the EPA lays out the following procedure:
The potential sustainable goals and the corresponding examples are listed in Tables 4.38, 4.39, 4.40, 4.41, 4.42, and 4.43.
Table 4.38 Integrated planning for WTPs and WWTPs.
Source: The US EPA (2012).
Sustainable goals | Examples |
Improve compliance | Collaborate with neighboring utilities to increase or maintain technical, managerial, or financial capacity |
Reduce energy cost | Invest in more energy efficient equipment or explore operational changes that can enhance energy optimization (such as pumping at night when the rate is lower) |
Reduce overall infrastructure costs | Coordinate infrastructure projects such as rain gardens |
Extend the projected adequacy of current water supplies | Implement water metering, fix distribution system leaks, or make use of reclaimed water Implement a mix of nontraditional infrastructure alternatives such as green infrastructure solutions with integrated stormwater and combined sewer overflow control |
Preserve critical ecological areas | Adopt management programs for septic systems to reduce nutrient loadings to water bodies or green treatment such as GI |
Improve the economic vitality | Target water infrastructure projects to encourage redevelopment |
Enhance community livability | Incorporate green space or recreational opportunities into projects |
Reduce long‐term system operational costs | Use wetlands to reduce the input of energy and chemicals for treatment or reuse water treatment solids |
Improve operational resilience | Understand operational, financial, and potential climate vulnerabilities and incorporate them into alternatives analysis to reduce risk |
Reduce vulnerability to water supply disruption or contamination | Conduct real‐time water quality monitoring, install isolation shutoff values, or provide connections to alternative water supplies |
Table 4.39 The US EPA procedure for identifying sustainable goals.
Source: The US EPA (2012).
Step | Actions |
1 | Identify sustainability priorities and potential opportunities for the utility |
2 | Identify community sustainability priorities |
3 |
|
4 | Identify and document sustainability goals |
Table 4.40 The US EPA procedure to develop a strategic plan.
Source: The US EPA (2012).
Step | Actions |
1 | Develop a strategic roadmap |
2 | Define the service area |
3 | Assess the system’s technical, managerial, and financial capabilities |
4 | Identify alternatives |
5 | Assess alternatives |
6 | Implement an action plan |
7 | Evaluate alternatives |
Table 4.41 Step‐by‐step guide for conducting baseline analysis.
Step | Actions |
1 | Describe the water storage and delivery system, including the size of the physical system, the number of people and connections, services, land use, demographics, and any unique characteristics that affect supply or demand |
2 | Inventory the water supply system, including sources of water supply, the status of water rights, and any limits on system capacity |
3 | Estimate present water demand (e.g. with information from current billing records) |
4 | Estimate future water demand based on population growth projections and other relevant information |
5 | List and rank water problems, including high per capita use, significant losses, constraints on system capacity, and/or insufficient water rights |
6 | List and analyze potential solutions, including water conservation through infrastructure investments (e.g. repairing leaks, replacing old lines and tanks, etc.) and/or demand reduction |
Table 4.42 Sustainable criteria.
Number | Sustainable criteria |
1 | Ecological and economic impacts, such as the extent to which projects damage (or create) important habitat, or create green space and recreation opportunities |
2 | Preference for treatment or operational functions that rely on natural systems for lower life cycle operating costs through reduced energy and chemical inputs |
3 | Reduced reliance on the energy grid through greater energy efficiency or self‐generation of energy |
4 | The extent to which projects focus on sustainability of infrastructure in a utility’s existing service area |
5 | Cost‐effectiveness based on an assessment of full life cycle costs |
Table 4.43 Procedure in assessing alternatives.
Step | Action |
1 | Identify alternatives |
2 | Develop specific sustainability criteria |
3 | Assess the benefits of each alternative |
4 | Assess the full costs of each alternative using life cycle assessment |
5 | Compare and select alternatives |
6 | Document the alternatives analysis |
For small utilities, the EPA’s strategic planning describes seven steps to develop a “strategic road map” as follows.
Recovery of water, energy, and nutrients is the key of WRRF. It enables WRRF to be independent of the grid and adds revenue through recovering water, energy, and nutrients. Reclaimed water can be integrated into power plants for cooling, irrigation in food production, and recharging ecosystems. For example, biogas could be used to heat sludge or generate electricity. Digested sludge could be then used as fertilizer (Figures 4.30, 4.31, 4.32, 4.33, and 4.34) (NSF et al., 2015)
The US Water Research Foundation developed major tools in integrated water management as follows (Table 4.44).
Table 4.44 Integrated planning tools (The US Water Research Foundation).
Design tools | Functions | Sponsor agencies |
Integrated Water Management with Urban Planning and Design | How a full spectrum of water services can be integrated with land‐use development and provides recommendations to encourage integration | WE&RF, 2017 |
Economic Pathways and Partners for Water Reclamation and Stormwater Harvesting | How effective economic conditions can be developed to promote the beneficial use and develops the pathways to utilize reclaimed water and stormwater reuse as a commodity for communities | WE&RF, 2017 |
Integrating Land Use and Water Resources Planning to Support Water Supply Diversification |
User‐friendly resources that can help advance the integration of water resource and land‐use planning | WRF, 2018 |
Framework for Evaluating Alternative Water Supplies: Balancing Cost with Reliability, Resilience, and Sustainability |
Integration of reliable, resilient, and sustainable water supply into a framework to support water supply planning | WRF, 2018 |
Using Graywater and Stormwater to Enhance Local Water Supplies: An Assessment of Risks, Costs, and Benefits | Technical, economic, regulatory, and social issues associated with gray water and stormwater for nonpotable urban uses, irrigation, and groundwater recharge | WE&RF, WRF, NAS, 2016 |
Water and Electric Utility Integrated Planning | Tools, knowledge, and recommendations for water and electric utility collaboration in strategic and project‐level integrated planning | WRF, AWWA, & NYSERDA, 2017 |
Opportunities and Barriers for Distributed Energy Resource Development at Water and Wastewater Utilities |
Opportunities for distributed energy resource (DER) development at water and wastewater utilities; (2) assess the legislative, regulatory, and policy environment impacting DER developments; and (3) undertake case studies of implemented DER utility projects | WE&RF, WRF, 2019 |
Toolbox for Completing an Alternatives Analysis as Part of an Integrated Planning Approach to Water Quality Compliance | A user’s guide to help municipalities and utilities determine whether to pursue US EPA’s Integrated Planning Framework (IPF) and how to use current tools and information to prepare a successful integrated water plan | WE&RF, 2017 |
Pathways to One Water: A Guide for Institutional Innovation | Guidance for organizations to move toward “One Water” management based on a literature review of major challenges and how organizations take action | WE&RF, WRF, 2017 |
AWWA, American Water Works Association; NAS, National Academy of Sciences; NYSERDA, New York State Energy Research and Development Authority; WE&RF, Water Environment and Reuse Foundation; WRF, Water Research Foundation.
There are two types of air quality standards. Primary standards are established to protect human health, while secondary standards are set to reduce environmental damage. The secondary standards are mostly the same as the primary standards. In addition, there are no secondary standards for carbon monoxide. Black carbon, a component of particulate matter, and ozone both have adverse impacts on human health, leading to premature deaths worldwide. Ozone is also the major air pollutant responsible for reducing crop yields and thus affects food security. Black carbon darkens snow and ice surfaces and increases their absorption of sunlight, which, along with atmospheric heating, exacerbates the melting of snow and ice around the world, including in the Arctic, the Himalayas, and other glaciated and snow‐covered regions. This affects the water cycle and increases risks of flooding and drought. They disturb tropical rainfall and regional circulation patterns such as the Asian monsoon, affecting the livelihoods of millions of people.
A major aim of IAQM is to reduce black carbon from the combustion of coal, oil, and gas. Emissions reduction measures targeting black carbon, and ozone precursors could immediately begin to protect the climate, public health, water and food security, and ecosystems. Measures include the recovery of methane from coal, oil, and gas extraction and transport, methane capture in waste management, the use of clean‐burning stoves for residential cooking, diesel particulate filters for vehicles, and the banning of field burning of agricultural waste. If these measures were implemented by 2030, they could halve the potential increase in global temperature projected for 2050. Global warming would be reduced by 0.5°C, and the rate of regional temperature increase would also be reduced. As a result, the chances of keeping the Earth’s global mean temperature increase within the UN’s 2°C target would increase significantly. For these reasons, renewable energy must be utilized in SEE design whenever it is feasible.
Xiongan is located in Hebei province. Please use the related data to do the same as above.