Cities are increasingly adopting potentially sustainable climate plans. Integrating the Sustainable Development Goals (SDGs) into these plans could help stabilize the climate while generating jobs, narrowing equity gaps, fostering innovation, and delivering other sustainability benefits. Yet, how much cities are integrating the SDGs into climate plans remains poorly understood. This article shed light on this question with a text analysis of SDG “keywords” in climate plans for two British and two Japanese cities. The results revealed that none of the surveyed cities have connected climate with socioeconomic priorities covered in SDG1 (poverty), SDG8 (employment), SDG5 (gender), and SDG10 (inequalities). Meanwhile, the United Kingdom cities made more connections between climate and responsible consumption and production (SDG12) than the Japanese cities. Further, Kyoto, Japan shares a climate-SDGs linkages profile that resembles the United Kingdom cities more than Kawasaki. Though not without limitations, text analysis can facilitate the city-to-city peer learning needed to make urban climate plans sustainable within and across countries.

Synthetic fibers are widely used in daily life due to their durability, elasticity, low cost, and ease of use. The textile industry is the primary source of synthetic microfibers, as these materials are mostly used in production processes. Globally, plastic pollution has been identified as a major environmental threat in this era, since plastics are not degradable but break down into smaller particles such as mesoplastics, microplastics, and microfibers. Synthetic microfiber pollution is a significant issue in aquatic ecosystems, including oceans and rivers, with laundry wastewater being a major source. This problem is particularly pressing in cities like Galle, Sri Lanka, where numerous tourist hotels are located. Despite the urgency, there has been a lack of scientific and systematic analysis to fully understand the extent of the issue. This study addresses this gap by analyzing the generation of microfibers from laundry activities at a selected hotel and evaluating the efficiency of a laundry wastewater filtration system. This study focused on a fully automatic front-loading washing machine (23 kg capacity) with a load of 12 kg of polyester–cotton blend serviettes (black and red). Samples (1 L each) were taken from both treated and untreated wastewater during four wash cycles, with a total of 100 L of water used for the process. The samples were filtered through a 100 μm sieve and catalytic wet oxidation along with density separation were employed to extract the microfibers, which were then collected on a membrane filter paper (0.45 μm). Microfibers were observed and analyzed for shapes, colors and sizes under a stereo microscope. Results revealed that untreated laundry wastewater contained 10,028.7 ± 1420.8 microfibers per liter (n = 4), while treated wastewater samples recorded 191.5 ± 109.4 microfibers per liter (n = 4). Most of the microfibers observed were black and white/transparent colors. Further analysis revealed that 1 kg of polyester–cotton blend fabric can generate 336,833 microfibers per wash, which was reduced to 6367 microfibers after treatment. The filtration unit recorded an impressive efficiency of 98.09%, indicating a remarkably high capacity for removing microfibers from wastewater. These findings highlight the potential of such filtration techniques to significantly reduce microfiber emissions from laundry wastewater, presenting a promising approach to mitigating environmental pollution from microfibers.

Many cities have integrated health co-benefits into their climate plans to address cost concerns and build multi-stakeholder support for resilient, net-zero transitions. While some studies have demonstrated that cities vary in how much they link health and climate, few have examined why this is the case. This study fills this gap by using 16 negative binomial regression models to test whether three sets of independent variables—(1) plan attributes, (2) politics, and (3) demographics—are correlated with two different measures of climate–health integration for 50 large cities in the United States. The modeling suggests that plan age is consistently associated with deeper forms of integration (links between key sectoral actions and related health–environmental and social benefits), while plan type (adaptation/mitigation-focused versus integrated) is related to shallower health references. Associations between climate–health integration and the liberal leanings of a city’s population find support in more than half the models; other political and demographic variables lack discernible or predicted relationships with health integration for most models. The study concludes that linking mitigation–adaptation actions can bring more attention to health, but regularly updating urban climate plans is the key to deepening the integration required for a sustainable future.