Urban Heat Island (UHI) has significant impacts on the buildings energy consumption and outdoor air quality (OAQ). Various approaches, including observation and simulation techniques, have been proposed to understand the causes of UHI formation and to find the corresponding mitigation strategies. However, the causes of UHI are not the same in different climates or city features. Thus, general conclusion cannot be made based on limited monitoring data.

With recent progress in computational tools, simulation methods have been used to study UHI. These approaches, however, are also not able to cover all the phenomena that simultaneously contribute to the formation of UHI. The shortcomings are mostly attributed to the weakness of the theories and computational cost.

This paper presents a review of the techniques used to study UHI. The abilities and limitations of each approach for the investigation of UHI mitigation and prediction are discussed. Treatment of important parameters including latent, sensible, storage, and anthropogenic heat in addition to treatment of radiation, effect of trees and pond, and boundary condition to simulate UHI is also presented. Finally, this paper discusses the application of integration approach as a future opportunity.

This study investigates the impact of urban form and landscaping type on the mid-afternoon microclimate in semi-arid Phoenix, Arizona. The goal is to find effective urban form and design strategies to ameliorate temperatures during the summer months. We simulated near-ground air temperatures for typical residential neighborhoods in Phoenix using the three-dimensional microclimate model ENVI-met. The model was validated using weather observations from the North Desert Village (NDV) landscape experiment, located on the Arizona State University's Polytechnic campus. The NDV is an ideal site to determine the model's input parameters, since it is a controlled environment recreating three prevailing residential landscape types in the Phoenix metropolitan area (mesic, oasis, and xeric).

After validation, we designed five neighborhoods with different urban forms that represent a realistic cross-section of typical residential neighborhoods in Phoenix. The scenarios follow the Local Climate Zone (LCZ) classification scheme after Stewart and Oke. We then combined the neighborhoods with three landscape designs and, using ENVI-met, simulated microclimate conditions for these neighborhoods for a typical summer day. Results were analyzed in terms of mid-afternoon air temperature distribution and variation, ventilation, surface temperatures, and shading. Findings show that advection is important for the distribution of within-design temperatures and that spatial differences in cooling are strongly related to solar radiation and local shading patterns. In mid-afternoon, dense urban forms can create local cool islands. Our approach suggests that the LCZ concept is useful for planning and design purposes.

Agricultural and dairy work is among the most dangerous work in the US. In addition to the dangers of work, undocumented migrant workers may face additional stress as a result of the increase in antiimmigration enforcement and criminalization of undocumented status. The purpose of the study was to better understand how migrant dairy workers were impacted by the increase in restrictive immigration policies and immigration enforcement, as well as how they coped with any issues they faced. Interviews were conducted with fourteen migrant dairy workers following the passage of several anti-immigration bills across the US. Findings revealed four major categories; three were related to negative impacts of immigration policies and enforcement:

1. Fear.
2. Stress and anxiety.
3. Perceptions of discrimination.

An additional major category emerged that demonstrated the hope and resilience of participants in the face of an increasingly difficult socio-political environment. Implications for social service practice, policy, and research are discussed.

The purpose of this paper was to examine the impact of perceived discrimination among Latino immigrants in the context of recent immigration policies and immigration enforcement strategies. Data for this study were drawn from a pilot study (n=213) of adult Latino immigrants living in Arizona during the summer of 2014. The results of multivariate OLS linear regressions indicated greater perceived discrimination was significantly related to reporting:

1. Avoidance of immigration officials.
2. Family has suffered.
3. Friends have suffered.

In addition, greater perceived discrimination was significantly related to lower confidence in a better future for the individual, their families, their children, and the children of today.

This study examined the relationship between acculturation and Latinos’ perceptions of health care treatment quality, discrimination, and access to health information. The results of this study indicated that participants who had lower levels of acculturation perceived:

1. Greater discrimination in health care treatment.
2. A lower quality of health care treatment.
3. Less confidence filling out health related forms.
4. Greater challenges understanding written information about their medical conditions.

Participants who identified as immigrants also perceived that their poor quality of medical care was due to their inability to pay and to their race/ethnicity.

Latinas may be unlikely to report violent crime, particularly when undocumented. This research examines the impact of fear of deportation and trust in the procedural fairness of the justice system on willingness to report violent crime victimization among a sample of Latinas (N = 1,049) in the United States. Fear of deportation was a significant predictor of Latinas perceptions of the procedural fairness of the criminal justice system. However, trust in the police is more important than fear of deportation in Latinas’ willingness to report violent crime victimization. Social workers can provide rights-based education and encourage relationship building between police and Latino communities.

This study examined the relationship between the fear of deportation and perceptions of law enforcement, the criminal justice system, and the willingness to report crimes among Latinos in the US. Understanding the relationship between increased immigration enforcement and fear of deportation may promote public safety by improving the relationship between the police and Latino communities.

Multivariate ordinal logistic regression analyses of the data found that participants who had a greater fear of deportation reported:

1. Less confidence that police would not use excessive force (p<.01).
2. Less confidence that police would treat Latinos fairly (p<.05).
3. A lower likelihood of reporting crimes (p<.05).
4. Less confidence that the courts would treat Latinos fairly (p<.01).

This report examines how recent immigration policies and immigration enforcement strategies have impacted Latino immigrants in Arizona. Analyses examined the relationship between fear of deportation and the impact of immigration policies on various aspects of daily life of Latino immigrants as a result of US immigration policies. Results indicate that participants who reported a greater fear of deportation were also significantly more likely to report:

1. Trouble keeping a job.
2. Trouble finding a job.
3. Having been asked for immigration documents.
4. That friends have suffered.
5. That their family has suffered.
6. Lower confidence that police will treat Latino immigrants fairly.
7. Lower confidence that the courts will treat Latino immigrants fairly.
8. Lower confidence that they will have a better future.

Implications for social work practice, advocacy, and research are discussed.

The City of Phoenix (Arizona, USA) developed a Tree and Shade Master Plan and a Cool Roofs initiative to ameliorate extreme heat during the summer months in their arid city. This study investigates the impact of the City's heat mitigation strategies on daytime microclimate for a pre-monsoon summer day under current climate conditions and two climate change scenarios. We assessed the cooling effect of trees and cool roofs in a Phoenix residential neighborhood using the microclimate model ENVI-met. First, using xeric landscaping as a base, we created eight tree planting scenarios (from 0% canopy cover to 30% canopy cover) for the neighborhood to characterize the relationship between canopy cover and daytime cooling benefit of trees. In a second set of simulations, we ran ENVI-met for nine combined tree planting and landscaping scenarios (mesic, oasis, and xeric) with regular roofs and cool roofs under current climate conditions and two climate change projections. For each of the 54 scenarios, we compared average neighborhood mid-afternoon air temperatures and assessed the benefits of each heat mitigation measure under current and projected climate conditions. Findings suggest that the relationship between percent canopy cover and air temperature reduction is linear, with 0.14 °C cooling per percent increase in tree cover for the neighborhood under investigation. An increase in tree canopy cover from the current 10% to a targeted 25% resulted in an average daytime cooling benefit of up to 2.0 °C in residential neighborhoods at the local scale. Cool roofs reduced neighborhood air temperatures by 0.3 °C when implemented on residential homes. The results from this city-specific mitigation project will inform messaging campaigns aimed at engaging the city decision makers, industry, and the public in the green building and urban forestry initiatives.

Transitions towards sustainability are urgently needed to address the interconnected challenges of economic development, ecological integrity, and social justice, from local to global scales. Around the world, collaborative science-society initiatives are forming to conduct experiments in support of sustainability transitions. Such experiments, if carefully designed, provide significant learning opportunities for making progress on transition efforts. Yet, there is no broadly applicable evaluative scheme available to capture this critical information across a large number of cases, and to guide the design of transition experiments. To address this gap, the article develops such a scheme, in a tentative form, drawing on evaluative research and sustainability transitions scholarship, alongside insights from empirical cases. We critically discuss the scheme's key features of being generic, comprehensive, operational, and formative. Furthermore, we invite scholars and practitioners to apply, reflect and further develop the proposed tentative scheme – making evaluation and experiments objects of learning.