| Literature DB >> 29101426 |
Daniel Feingold1, Stef Koop1,2, Kees van Leeuwen3,4.
Abstract
In this paper, we assess the challenges of water, waste and climate change in six cities across the U.S.: New York City, Boston, Milwaukee, Phoenix, Portland and Los Angeles. We apply the City Blueprint® Approach which consists of three indicator assessments: (1) the Trends and Pressures Framework (TPF), (2) the City Blueprint Framework (CBF) and (3) the water Governance Capacity Framework (GCF). The TPF summarizes the main social, environmental and financial pressures that may impede water management. The CBF provides an integrated overview of the management performances within the urban watercycle. Finally, the GCF provides a framework to identify key barriers and opportunities to develop governance capacity. The GCF has only been applied in NYC. Results show that all cities face pressures from heat risk. The management performances regarding resource efficiency and resource recovery from wastewater and solid waste show considerable room for improvement. Moreover, stormwater separation, infrastructure maintenance and green space require improvement in order to achieve a resilient urban watercycle. Finally, in New York City, the GCF results show that learning through smart monitoring, evaluation and cross-stakeholder learning is a limiting condition that needs to be addressed. We conclude that the City Blueprint Approach has large potential to assist cities in their strategic planning and exchange of knowledge, experiences and lessons. Because the methodology is well-structured, easy to understand, and concise, it may bridge the gap between science, policy and practice. It could therefore enable other cities to address their challenges of water, waste and climate change.Entities:
Keywords: Adaptive governance; Capacity building; City Blueprint; Infrastructure deficit; Water management; Water scarcity
Mesh:
Substances:
Year: 2017 PMID: 29101426 PMCID: PMC5765205 DOI: 10.1007/s00267-017-0952-y
Source DB: PubMed Journal: Environ Manage ISSN: 0364-152X Impact factor: 3.266
Fig. 1Overview of the City Blueprint Approach with three complementary assessment frameworks. The TPF and CBF are based on questionnaires, whereas the GCF is based on interviews
General information about six cities in different regions of the U.S.
| City | NYC | Boston | Milwaukee | Portland | Phoenix | Los Angeles |
|---|---|---|---|---|---|---|
| Populationa | 8,550,405 | 667,137 | 600,155 | 632,309 | 1,563,025 | 3,971,883 |
| Daily Average Temperature (C°)b | 12.5 | 10.8 | 8.8 | 12.5 | 23.9 | 18.6 |
| Annual Average Rainfall (mm)b | 1086 | 1112 | 883 | 914 | 204 | 379 |
| Green Space (parks) (%)c | 21.1 | 17 | 8.7 | 17.8 | 15 | 13.6 |
| Groundwater Depletion 1900–2008 (Km3)d | 0–3 | N.A. | 10–25 | −10–0 | 50–150 | 3–10 |
| Saltwater Intrusione | Yes | Yes | No | No | No | Yes |
| Water Consumption (m3/person/y)f | 173.815 | 81.51 | 128.5 | 132.5 | 255.2 | 156.22 |
| Average Age of Sewer (y)f | 84 | 100 | 45 | 80 | 50 | 50 |
| Municipal Solid Waste Collected (Kg/cap/y)f | 1637 | 1428 | 626 | 1550 | 535 | 842 |
a U.S. Census Bureau (2015)
b Arguez et al. (2010)
c The Trust for Public Land (2015)
d Konikow (2013)
e EIP Water (2017a)
f EIP Water (2017b)
Basic method and features of the Trends and Pressures Framework and City Blueprint® Framework (Koop and Van Leeuwen 2015a)
| Trends and Pressures Framework (TPF) | ||
| Goal | Baseline assessment of social, environmental and financial pressures | |
| Framework | Social pressures | 1. Urbanization rate |
| 2. Burden of disease | ||
| 3. Education rate | ||
| 4. Political instability | ||
| Environmental pressures | 5. Flooding | |
| 6. Water scarcity | ||
| 7. Water quality | ||
| 8. Heat risk | ||
| Financial pressures | 9. Economic pressure | |
| 10. Unemployment rate | ||
| 11. Poverty rate | ||
| 12. Inflation rate | ||
| Data | Public data or data provided by the water and wastewater utilities | |
| Scores | 0: no concern, 1: little concern, 2: medium concern, 3: concern and, 4: great concern | |
| Overall score | Trends and Pressures Index (TPI), the arithmetic mean of 12 indicators. Indicators scoring a concern or great concern (3 or 4 points) are communicated as a priority | |
| City Blueprint performance Framework (CBF) | ||
| Goal | Baseline performance assessment of the state of IWRM | |
| Framework | Twenty-five indicators divided over seven broad categories: | |
| 1. Water quality | ||
| 2. Solid waste | ||
| 3. Basic water services | ||
| 4. Wastewater treatment | ||
| 5. Infrastructure | ||
| 6. Climate robustness | ||
| 7. Governance | ||
| Data | Public data or data provided by the (water and wastewater utilities and cities based on a questionnaire (EIP Water | |
| Scores | 0 (low performance) to 10 (high performance) | |
| Overall score | Blue City Index® (BCI), the geometric mean of 25 indicators | |
Categorization of IWRM performance based on a cluster analysis of 25 City Blueprint indicators of municipalities and regions (Koop and Van Leeuwen 2015b)
| BCI | Categories of IWRM in cities |
|---|---|
| 0–2 | Cities lacking basic water services. |
| Access to potable drinking water of sufficient quality and access to sanitation facilities are insufficient. Typically, water pollution is high due to a lack of wastewater treatment (WWT). Solid waste production is relatively low but is only partially collected and, if collected, almost exclusively put in landfills. Water consumption is low, but water system leakages are high due to serious infrastructure investment deficits. Basic water services cannot be expanded or improved due to rapid urbanization. Improvements are hindered due to insufficient governance capacity and funding gaps | |
| 2–4 | Wasteful cities. |
| Basic water services are largely met but flood risk can be high and WWT is insufficiently covered. Often, only primary and a small portion of secondary WWT is applied, leading to large-scale pollution. Water consumption and infrastructure leakages are high due to the a lack of environmental awareness and infrastructure maintenance. Solid waste production is high, and waste is almost completely dumped in landfills. In many cases, community involvement is relatively low | |
| 4–6 | Water efficient cities |
| Cities are implementing centralized, well-known, technological solutions to increase water efficiency and to control pollution. Secondary WWT coverage is high, and tertiary WWT is rising. Water-efficient technologies are partially applied, infrastructure leakages are substantially reduced but water consumption is still high. Energy recovery from WWT is relatively high, while nutrient recovery is limited. Both solid waste recycling and energy recovery are partially applied. These cities are often vulnerable to climate change, e.g., urban heat islands and drainage flooding, due to poor adaptation strategies, limited storm water separation and low green surface ratios. Governance community involvement has improved | |
| 6–8 | Resource efficient and adaptive cities |
| WWT techniques to recover energy and nutrients are often applied. Solid waste recycling and energy recovery are largely covered, whereas solid waste production has not yet been reduced. Water-efficient techniques are widely applied, and water consumption has been reduced. Climate adaptation in urban planning is applied, e.g., incorporation of green infrastructures and storm water separation. Integrative, (de)centralized and decentralized as well as long-term planning, community involvement, and sustainability initiatives are established to cope with limited resources and climate change | |
| 8–10 | Water wise cities |
| There is no BCI score that is within this category so far. These cities apply full resource and energy recovery in their WWT and solid waste treatment, fully integrate water into urban planning, have multi-functional and adaptive infrastructures, and local communities promote sustainable integrated decision-making and behavior. Cities are largely water self-sufficient, attractive, innovative and circular by applying multiple centralized and decentralized solutions |
Fig. 2City Blueprints of Phoenix (top), New York City (center) and Boston (bottom), based on 25 performance indicators. The geometric mean of the indicators, i.e., the BCI scores, are 3.9, 4.8, and 5.4, respectively
Fig. 3The Blue City Index of 60 municipalities and regions in more than 30 different countries. BCI values of cities in the U.S. are highlighted in black
Fig. 4A comparison of average scores for eight City Blueprint indicators for six U.S. cities (left; blue bars) and six cities with the highest BCI scores (right; red bars) as shown in Fig. 3
Outcome of the water governance capacity framework (GCF) analysis of New York City. The governance capacity scores to address each challenge range from very encouraging (++) to very limiting (−−)
| Dimension | Conditions | Indicators | Water scarcity | Flood risk | Waste water treatment | Solid waste treatment | Urban heat islands |
|---|---|---|---|---|---|---|---|
| Knowing | 1. Awareness | 1.1 Community knowledge | 0 | 0 | 0 | 0 | 0 |
| 1.2 Local sense of urgency | − | 0 | 0 | + | 0 | ||
| 1.3 Behavioral internalization | + | + | 0 | + | 0 | ||
| 2. Useful knowledge | 2.1 Information availability | 0 | 0 | + | 0 | 0 | |
| 2.2 Information transparency | 0 | 0 | 0 | 0 | + | ||
| 2.3 Knowledge cohesion | + | + | 0 | 0 | + | ||
| 3. Continuous learning | 3.1 Smart monitoring | ++ | 0 | + | 0 | −− | |
| 3.2 Evaluation | 0 | 0 | 0 | 0 | −− | ||
| 3.3 Cross-stakeholder learning | − | 0 | + | 0 | − | ||
| Wanting | 4. Stakeholder engagement process | 4.1 Stakeholder inclusiveness | 0 | + | + | 0 | − |
| 4.2 Protection of core values | 0 | 0 | 0 | 0 | − | ||
| 4.3 Progress and variety of options | 0 | + | 0 | 0 | 0 | ||
| 5. Management ambition | 5.1 Ambitious realistic management | ++ | + | 0 | + | + | |
| 5.2 Discourse embedding | 0 | + | + | 0 | + | ||
| 5.3 Management cohesion | + | + | 0 | + | + | ||
| 6. Agents of change | 6.1 Entrepreneurial agents | 0 | + | + | + | + | |
| 6.2 Collaborative agents | − | 0 | 0 | 0 | 0 | ||
| 6.3 Visionary agents | 0 | ++ | 0 | ++ | 0 | ||
| Enabling | 7. Multi-level network potential | 7.1 Room to maneuver | 0 | + | 0 | − | − |
| 7.2 Clear division of responsibilities | 0 | + | + | 0 | 0 | ||
| 7.3 Authority | ++ | + | ++ | + | + | ||
| 8. Financial viability | 8.1 Affordability | + | + | + | + | + | |
| 8.2 Consumer willingness to pay | 0 | + | 0 | 0 | 0 | ||
| 8.3 Financial continuation | + | + | + | + | 0 | ||
| 9. Implementing capacity | 9.1 Policy instruments | 0 | + | 0 | 0 | + | |
| 9.2 Statutory compliance | 0 | + | 0 | + | + | ||
| 9.3 Preparedness | + | + | 0 | + | 0 |
Fig. 5Results of the GCF analysis. Limiting GCF indicators, with scores below zero, are 3.2 evaluation, 3.3 cross-stakeholder learning, 4.2 protection of core values, 6.2 collaborative agents, and 7.1 room to maneuver