Grey Infrastructure Research Articles

Briefing: How long-term monitoring of SuDS will inform next-generation guidance and modelling tools

Sustainable drainage systems (SuDS) are becoming more commonplace in urban environments due to the additional benefits they can provide alongside their core stormwater management function. In Mansfield, UK, Severn Trent Water is investing £76 million in retrofitting hundreds of SuDS to provide flood risk reduction to 90 000 people while simultaneously creating 5 ha of biodiversity-rich habitat. However, there is continued uncertainty about the long-term performance of these nature-based assets in comparison to traditional grey infrastructure. Through a new industrial–academic partnership, a long-term evaluation of SuDS performance across Mansfield will be used to inform the next generation of design guidance and modelling tools.

Designing nature to be a solution for climate change in cities: A meta-analysis

Nature-based solutions (NbS) are designed as a win-win strategy to address societal challenges while providing biodiversity, social, and economic benefits. However, uncertainties and gaps persist, particularly regarding the criteria that define a NbS measure and the specific requirements for a solution to be fully recognized as such, which limit the full potential of these strategies in practice. Another persistent issue is the lack of data on strategy responses across different implementation scales (local, city, regional) and climatic zones (temperate, arid, tropical). This article provides an overview of the potential of NbS to promote climate adaptation in cities. Our meta-analysis, which compiled 7163 records from 89 articles worldwide, indicates that integrating NbS strategies with traditional approaches (gray infrastructure and sustainable technologies) is the most effective response to concurrently address multiple climate-related hazards. Flooding had the highest impact at 35.7 %, followed by increased runoff at 30.5 %. Peak flow and water pollution both had an impact of 10.3 %, while temperature increase accounted for 5.7 %, and decreases in thermal comfort made up 5.0 %. We concluded that all evaluated strategies reduced the impact of climate-related hazards, but this reduction was twice as large when incorporating NbS (18.6 % vs 8.1 %). We also demonstrate that this effect is observed under projected climate scenarios, reinforcing the role of NbS in making cities more resilient and sustainable.

Talking to the young generation: perception of nature-based solutions’ attractiveness by children from Generation Z

ABSTRACT Current studies on nature-based solutions (NBS) in urban areas often overlook young people, who are essential users of urban spaces. Our study from the Czech Republic fills this gap by investigating how children (Generation Z, 11–15 years) perceive 12 NBS and 3 grey infrastructure measures and their ecosystem services (ES). Results from an image-based questionnaire survey indicate that water features, trees and flower beds are the most attractive for spending leisure time, while most other features were perceived as relatively unattractive by the children surveyed. In addition, the results highlight oxygen production as the most valued service by children, followed by biodiversity support and aesthetic function. This study emphasises the need for inclusive management of NBS and recognises the role of multiple stakeholders, including children, in creating attractive urban spaces. Key policy highlights Exploring the preferences of Generation Z towards different nature-based solutions Some measures and benefits were perceived as more attractive and important Water features, trees, and flower beds were rated as the most attractive measures Oxygen provisioning, biodiversity, and aesthetics were identified as the most important benefits Children and young people are essential users of urban nature and public spaces

High Frequency Monitoring and Nitrate Sourcing Reveals Baseflow and Stormflow Controls on Total Dissolved Nitrogen and Carbon Export Along a Rural‐Urban Gradient

AbstractEfforts to reduce nitrogen and carbon loading from developed watersheds typically target specific flows or sources, but across gradients in development intensity there is no consensus on the contribution of different flows to total loading or sources of nitrogen export. This information is vital to optimize management strategies leveraging source reductions, stormwater controls, and restorations. We investigate how solute loading and sources vary across flows and land‐use using high frequency monitoring and stable nitrate isotope analysis from five catchments with different sanitary infrastructure, along a gradient in development intensity. High frequency monitoring allowed estimation of annual loading and attribution to storm versus baseflows. Nitrate loads were 16 kg/km2/yr. from the forested catchment and ranged from 68 to 119 kg/km2/yr., across developed catchments, highest for the septic served site. Across developed catchments, baseflow contributions ranged from 40% of N loading to 75% from the septic served catchment, and the contribution from high stormflows increased with development intensity. Stormflows mobilized and mixed many surface and subsurface nitrate sources while baseflow nitrate was dominated by fewer sources which varied by catchment (soil, wastewater, or fertilizer). To help inform future sampling designs, we demonstrate that grab sampling and targeted storm sampling would likely fail to accurately predict annual loadings within the study period. The dominant baseflow loads and subsurface stormflows are not treated by surface water management practices primarily targeted to surface stormflows. Using a balance of green and gray infrastructure and stream/riparian restoration may target specific flow paths and improve management.

Enhancing water management and urban flood resilience using Hazard Capacity Factor Design (HCFD) model: Case study of Eco-Delta city, Busan

This study evaluated future climate scenarios and the changes in urban flood resistance capacity in Busan Eco-Delta City using the hazard capacity factor design (HCFD) model. It analyzed the flood reduction effects of both gray and green infrastructure. Despite existing flood safety systems, there is a growing need to enhance urban flood resilience due to increasing heavy rainfall, unpredictable precipitation, and frequent typhoons driven by climate change. The HCFD model predicted urban flood volumes of Busan Eco-Delta City and analyzed the effectiveness of gray and green infrastructure in flood control. A stormwater management model (SWMM) simulated urban flood resistance capacity under the SSP1–2.6 climate change scenario. Results indicate that for an anticipated 500 mm rainfall over 3 h, green infrastructure can mitigate floods by 9 % to 17.6 %, while gray infrastructure can reduce flooding by 24 % to 32.1 %. The integration of gray and green infrastructure leads to an overall flood mitigation ranging from 47.1 % to 63.3 %. A notable contribution of this research is its predictive analysis of future flood scenarios using model-based scenario analysis and decision support algorithms, offering valuable insights into changes in urban flood resistance capacity and strategies for effective flood control decision-making.

The role of engineered tree pit solutions in nature-positive civil engineering

Successfully establishing and growing street trees presents significant challenges and traditional techniques are associated with elevated tree mortality. Moreover, securing appropriate soil volumes for trees is a substantial challenge, particularly in modern street engineering where the grey infrastructure is prioritised over tree success. Engineered tree pit solutions can counteract this situation. They enable trees and grey infrastructure to coexist, providing improved rooting environments, load-bearing structural support conforming to engineering specifications, and the ability to manage stormwater runoff within one tree pit design. This article presents a literature-informed overview of the current technologies applicable to new-build and retrofit scenarios that integrate street trees and pavements, enabling nature-positive, resilient tree pit designs conducive to tree growth. We focus on the solutions most commonly employed in practice – structural growing media and crate systems – outlining their constituents, construction and considerations for success. This article informs built environment practitioners, policymakers and researchers on innovations translatable into practical techniques to enhance tree pit design and optimise street trees as multifunctional nature-based solutions.

Integration of Green and Gray Infrastructures – Conceptualization from the Perspective of Gray Engineers

Green infrastructure preserves, enhances, or restores elements of a natural system to provide higher-quality, more resilient, and lower-cost infrastructure services. Ecosystem disaster prevention and mitigation is also one of the features of green infrastructure. It is thus expected to integrate gray and green infrastructure to achieve greater resilience and sustainability. While several concepts of integrated green and gray infrastructure (IGGI), or hybrid infrastructure, have been proposed at the landscape scale, hybrid possibilities could exist at the single structural element and material scales. This paper proposes three types of IGGI concepts that could be beneficial for gray engineers to implement green infrastructure in terms of the gray engineering perspectives (safety, serviceability, and durability), primarily focusing mainly on the scale of single- or multiple-structure scales smaller than landscape scale. By categorizing the past and feasible IGGI cases into three concepts, the performance requirements for each infrastructure (green or gray) will become apparent, accelerating the discussion to develop a performance curve model as an IGGI. Also, the work needed to realize IGGI is discussed, emphasizing the urgent need for gray engineers to understand the benefits of integrating green infrastructure into gray infrastructure and thus promote the implementation of IGGI.

The sum of the parts: Green, gray, and green-gray infrastructure to mitigate wave overtopping

Hybrid approaches to shoreline protection, where natural (“green”) features are combined with hardened (“gray”) infrastructure, are increasingly used to protect coastlines from erosion and flood-based hazards. Our understanding of hybrid systems is limited, and it is unknown whether the components of these systems interact in any meaningful sense to provide flood reduction benefits that are greater or less than “the sum of the parts.” In this study, a large-scale physical model was used to investigate the overtopping of a vertical wall protected by a hybrid system where an idealized Rhizophora mangrove forest of moderate cross-shore width fronted a rubble-mound revetment. Configurations included the wall alone, the wall with a low- or intermediate-density mangrove forest without the revetment, the wall with the revetment, and the wall with an intermediate- or high-density mangrove forest and the revetment. The study isolated the reduction in overtopping of the wall by the revetment component, the mangrove forest component, and the interaction between the components of the hybrid system. The total reduction by the hybrid system was estimated within 5% accuracy as the sum of the reduction by each component minus the product of the component reductions. Comparison of the proportional reduction in overtopping by the mangrove forest on the wall alone and the wall with the revetment indicated that the mangrove forest reduced the overtopping of the revetment by approximately the same proportion that the forest reduced the overtopping of the wall. Therefore, (1) total overtopping reduction by the hybrid system was modeled as the reduction expected from the green and gray components in series. Additional analysis showed that (2) for the same wave conditions, a mangrove forest of moderate cross-shore width can have equal or greater protective benefits than a coastal revetment, (3) there is an exponential relationship between the discharge rate and the forest density, and (4) the mangrove forest, the revetment, and the hybrid system all provided greater reduction in overtopping as wave steepness increased. The tests in this study were conducted without wave breaking, with constant freeboard and water depth, with a specific revetment geometry, and without a mangrove canopy. Therefore, these results should be interpreted with caution if used for engineering design.

Exploring the network structure of coupled green-grey infrastructure to enhance urban pluvial flood resilience: A scenario-based approach focusing on ‘centralized’ and ‘decentralized’ structures

Urban pluvial floods pose a significant risk to cities, occurring when precipitation exceeds the carrying capacity of the urban drainage network. Coupled green-grey infrastructure has emerged as a sustainable solution for mitigating urban pluvial floods. This study aims to explore best practices in the network configuration of urban drainage systems coupled with low-impact development (LID) to enhance flow distribution and stormwater infiltration. To do so, we focused on two competing key concepts in network analysis: (1) Centralization and (2) Decentralization. We integrated a one-dimensional stormwater model with a rapid flood spreading model to assess the flood mitigation performance of various centralized and decentralized network configurations in the Gangnam region of Seoul, South Korea. To further assess the combined effects of green and grey infrastructure, we compared the performance of each drainage network configuration with and without identical mixed LID practices. Here we show that the centralized drainage network scenario performed best in reducing flood volume by 40.3%, the decentralized drainage network scenario performed best in shortening flood duration by 47.8%, and the LID practices scenario performed best in mitigating peak flooding rates by 4.2%, each as independent scenarios. When all three scenarios were coupled together, flood volume could be reduced by 73.5%, flood duration by 54.7%, and peak flooding rates by 19.8% in the study area. This exploratory study underscores the potential of network analysis in urban flood research, particularly the effectiveness of loosely-connected network topology. Our findings contribute to the development of best practices for coupled green-grey infrastructure, facilitating sustainable stormwater management and urban flood resilience.

The role of Nature-Based Solutions for the water flow management in a Mediterranean urban area

Due to climate change and rapid urban sprawl, central Mediterranean regions are subjected to short but intensive storm events resulting in a significant increase of flow rates and runoff volumes in low-lying coastal urban areas. Within the framework of green urban infrastructures (GUIs), a suitable combination of Nature-Based Solutions (NBS) with traditional grey infrastructures should be adopted to mitigate flood risk effects in urban and sub-urban areas contributing at the same time to achieve multiple benefits for both the environment and the community. The aim of this study is (i) to evaluate flood hazard maps for identifying the areas within a Sicilian hydrological river basin (Toscano catchment) with a high risk of flooding by implementing the HEC-RAS model at catchment scale; (ii) to quantify the peak flow and floodplain area reduction; (iii) to assess the effectiveness of small-scale NBS (green roofs, porous pavements, rain gardens and rain barrel), in terms of peak flow and runoff volume reductions, at urban block scale by using the EPA SWMM model Model simulations are performed integrating the hydraulic (HEC-RAS) and hydrological (EPA SWMM) models for return periods of 10, 50 and 200 years. The results showed that the estimated peak flow (m3 s−1) obtained from the simulations performed at catchment scale for each T in the current scenario (without NBS) using HEC-RAS and EPA SWMM models are very close to each other (R2 = 0.99). In addition, the utopian scenario simulation showed the HEC-RAS model sensitivity to CN calibration achieving a peak flow reduction up to about 60% with the floodplain area decreasing up to about 17%. Finally, the model EPA SWMM shows its sensitivity to NBS implementation at urban block scale with a peak flow reduction up to about 16% and a runoff volume (mm) reduction up to about 24%. These reductions decrease as T increases with a higher NBS mitigation effects for the lowest T. The results highlighted that the integration of NBS in urban areas could have hydrological and hydraulic positive effects, particularly in terms of peak flow and runoff volume reduction. Furthermore, the results suggest that small-scale NBS have a potential to be effective to smaller rainfall events, but a combination with large-scale NBS is necessary to cope with extreme events.

Optimized green infrastructure planning at the city scale based on an interpretable machine learning model and multi-objective optimization algorithm: A case study of central Beijing, China

Green infrastructure (GI) has developed as a sustainable approach to the mitigation of urban floods. While machine learning (ML) models have exhibited advantages in urban flood simulation, their direct application to support the quantitative planning of GI at the city scale remains a challenge. To address this, an interpretable ML model based on support vector machine (SVM) and the Shapley additive explanations (SHAP) approach is integrated with the non-dominated sorting genetic algorithm-II (NSGA-II) in this study. The model is applied to the case of central Beijing, China, and demonstrates a robust performance with a high area under curve (AUC) value of 0.94. The results of the urban flood susceptibility assessment identify the urban-rural transition zone in the study area as being under a greater flood threat. Via model interpretation with SHAP, the dominant roles of GI and grey infrastructure (GrI) in preventing flood are revealed and the non-linear complementarity between the two is demonstrated to be more significant in study units with a GI proportion of less than 0.45. Supported by the NSGA-II-based optimization framework, optimal GI plans under different total implementations of GI are achieved, among which a solution with a 3.21% increase in the total GI area is selected as that with the best investment efficiency. The pattern of GI implementation is suggested to be dispersed and small-scale by model. This study provides a tool with broad application prospects, effectively integrating GI implementation with urban planning. The findings of this study not only provide important references for the determination of the priority areas of new ecological space in Beijing, but also provide areas that share similar characteristics with new insight into GI planning and the management of urban floods.

Evaluating the impact of evolving green and grey urban infrastructure on local particulate pollution around city square parks

The relationship between green and grey urban infrastructure, local meteorological conditions, and traffic-related air pollution is complex and dynamic. This case study examined the effect of evolving morphologies around a city square park in Dublin and explores the twin impacts of local urban development (grey) and maturing parks (green) on particulate matter (PM) pollution. A fixed air quality monitoring campaign and computational fluid dynamic modelling (ENVI-met) were used to assess current (baseline) and future scenarios. The baseline results presented the distribution of PM in the study area, with bimodal (PM2.5) and unimodal (PM10) diurnal profiles. The optimal vegetation height for air quality within the park also differed by wind direction with 21 m vegetation optimal for parallel winds (10.45% reduction) and 7 m vegetation optimal for perpendicular winds (30.36% reduction). Increased building heights led to higher PM2.5 concentrations on both footpaths ranging from 25.3 to 37.0% under perpendicular winds, whilst increasing the height of leeward buildings increased PM2.5 concentrations by up to 30.9% under parallel winds. The findings from this study provide evidence of the importance of more in-depth analysis of green and grey urban infrastructure in the urban planning decision-making process to avoid deteriorating air quality conditions around city square parks.

The role of landscape planning in reducing damages caused by flood (case study: Nekaroud, Iran)

Traditional flood control methods, such as gray infrastructure, are no longer sufficient to effectively manage flood events independently. Urban and landscape designers have devised design strategies to combat riverine and flash flooding in urban settings. These solutions aim to enhance urban ecological resilience by incorporating provisions for varying water levels within the urban environment. However, limited reviews have specifically explored how landscape architecture strategies can play a more effective and beneficial role in flood control. This paper aims to focus on landscape design solutions for flood adaptation and clarify the parameters in order to reduce vulnerability to floods. It emphasizes the importance of preserving the primary connection between humans and a river, and draws upon knowledge in hydraulics, ecology, flood control practices, and field observation to explore the practical solutions for reducing river floods. Moreover, it investigates the flood control method of Nekaroud in Iran, which serves as an example of inefficient flood control solutions. Surveys showed the significance of the river's position within its context and its fundamental role in enhancing spatial quality during the planning process, particularly in landscape planning. Neglecting this aspect can lead to further problems, such as ecosystem threats and limited access to the riverbank, as observed in the Nekaroud basin. Finally, the paper identifies various challenges facing the flooding at the macro, meso, and micro levels, and proposes landscape design solutions for flood adaptation that prioritize maintaining the river within its main context.

Beyond dams: Assessing integrated water storage in the Shashe catchment, Limpopo River Basin

Study regionThe Shashe catchment, Limpopo River Basin, Botswana, and Zimbabwe. Study focusThe Shashe catchment is the third largest flow contributor to the Limpopo River Basin. Water availability in the Shashe catchment is highly seasonal due to high seasonal rainfall variability. The seasonality and inter-annual variability cause shortfalls (demand exceeds the average water availability) in certain months and years. Storage is needed to bridge the seasonal water availability “gap” and mitigate the deficits in drought years, i.e., inter-annual variability. While the need for water storage through grey infrastructure such as dams has long been known, there is growing recognition of the need for approaches to water storage that capitalize on all storage types. However, the current capacity to plan in ways that utilize all storage types is limited. The analyses conducted for this paper assessed the volume and spatial and temporal variability of different storage options – large and small dams, sand dams, soil moisture, and aquifers – in the Shashe catchment of the Limpopo River Basin. An integrated SWAT-MODFLOW model and remote sensing approach were developed for 2015–2020. New hydrological insights for the regionThe total annual water storage in the Shashe catchment is approximately 44,000 Mm3, dominated by groundwater. The annual storage is about 42,000 Mm3 in aquifers, 1500 Mm3 in soil, 700 Mm3 in large dam reservoirs, 45 Mm3 in small dams/ponds, and 0.13 Mm3 in sand dams. There is high seasonality in water storage availability. Soil moisture storage is at its maximum from January to March and lowest from July to September. Dam storage is at its maximum from March to May, and the water storage is relatively stable throughout the year. Aquifer storage is relatively stable during the dry seasons compared to other storage options. Optimizing water use considering the seasonal variation in different storage types could improve water availability and climate resilience.

Reimagining Relationships with Resources as a Public Garden: Case Studies of Longwood Gardens’ Sustainability and Stewardship Practices

Longwood Gardens (Kennett Square, PA, USA) is working toward a future where the beauty of nature can be enjoyed by all through its sustainability and stewardship efforts. Using case studies highlighting water quality and conservation, carbon footprint reduction, material circularity, and land stewardship, this paper examines the multifaceted approach that Longwood takes to address its environmental impact. First, a description of Longwood’s innovative water quality and conservation strategies and their integration of green and gray infrastructure is described. Next, the paper explores the comprehensive measures adopted to curtail its carbon footprint, from energy-efficient infrastructure to renewable energy sources. Then, Longwood’s commitment to material circularity is investigated, showcasing initiatives that reuse organic materials and create necessary products for the Gardens onsite. Finally, the Gardens’ holistic land stewardship practices are detailed, including habitat preservation and biodiversity enhancement. The paper concludes with valuable findings learned from the organization’s sustainability and stewardship journey, offering insights applicable to other gardens or campuses seeking to improve their ecological impact while maintaining a commitment to esthetic and horticultural excellence.

Optimizing green and gray infrastructure planning for sustainable urban development

The anticipated increase in urban population of 2.5 billion people by 2050 poses significant environmental challenges. While the various environmental impacts of urbanisation have been studied individually, integrated approaches are rare. This study introduces a spatially explicit model to assess urbanization’s effects on ecosystem services (green infrastructure availability, cooling, stormwater retention) and the environmental impact of building construction (material demand, greenhouse gas emissions, land use). Applied to the Netherlands from 2018 to 2050, our results show that integrating green infrastructure development with building construction could increase green areas by up to 5% and stabilize or increase ecosystem service provisioning. Dense building construction with green infrastructure development is generally more beneficial across the Netherlands, reducing resource use and enhancing ecosystem services. Conversely, sparse construction with green infrastructure is more advantageous for newly built areas. These findings offer insights into the environmental consequences of urbanization, guiding sustainable urban planning practices.

Microalgae as a multibenefit natural solution for the wastewater industry: A UK pilot‐scale study

AbstractCommercialization of microalgae for wastewater treatment (WWT) is limited due to the large footprints and long hydraulic retention times (HRT) of standard systems, making integration into wastewater (WW) grey infrastructure unfeasible. Industrial Phycology Ltd has developed a process that manipulates the metabolic plasticity of microalgae for WWT. Initial batch trials in a 27 m3 demonstration plant treating municipal tertiary WW achieved a final effluent of 0.27 ± 0.2 mg/L and 0.009 ± 0.003 mg/L phosphate and ammonium, respectively, in 12 h HRT. A continuous flow‐through system was retrofitted onto a small rural WWT site owned by South West Water for tertiary treatment. Phosphate and emerging contaminants (ECs) were monitored over 12 months at an average flow of 1.5–2.2 m3/h. Consistent phosphate removal was observed with a reduction in ECs within a HRT of 16.5 h. This demonstrates that the microalgae process can retrofitted as a green infrastructure option, delivering benefits vital to sustainable development.

Optimization of green infrastructures for sustaining urban stormwater quality and quantity: An integrated resilience evaluation

Coupling natural green infrastructure with artificial gray infrastructure is considered a key solution for mitigating the risk of waterlogging and water quality problems caused by rapid urbanization. However, further research is needed to evaluate and optimize the utility of gray–green system considering multiple key factors. Here, the effects of gray–green system on both the water quality and quantity were investigated based on the Storm Water Management Model-InfoWorks ICM (SWMM-ICM) and bivariate copula functions. A resilience index that integrates reliability, bearing capacity, recovery speed, and recovery capacity was then proposed. Taking a typical catchment area in Beijing as an example, the results showed that the resilience index proposed is effective for evaluating the stormwater management of gray–green system. The integration of gray–green infrastructures improved the resilience of urban stormwater management, particularly in terms of controlling the water quality (improved by 1.0–4.0 %) rather than the water quantity (only 0.04–0.3 %). Direct confluence and average distribution strategies of gray–green system were more effective for water quality management, as resilience ranged from 0.7478 to 0.7605. To mitigate the ever-increasing water risks under climate change, the direct confluence, and average or downstream renovation strategies are hot spots for system renovation in the future. These results contribute to a better understanding of gray–green system and provide the foundation for sustainable water quality and quantity management in global cities.

Enhancing the city-level thermal environment through the strategic utilization of urban green spaces employing geospatial techniques.

Smart urban planning needs to have a multicriteria-based approach to prevent the deteriorating local thermal climate. Maximizing the cooling potential using the available grey infrastructure would be the utmost priority of future smart cities. Remote sensing and GIS can be the appropriate tools to develop a climate-resilient urban planning framework. Studies are needed to include different features of vertical and horizontal landscaping to mitigate heat stress and enhance liveability at the city level. With this goal, the current work outlined a holistic approach to efficiently using green spaces with minimal reconstruction. The problem of regional climate threat was evaluated with urban heat island characterization. Moran's I clustering identified nearly 12% of the study area to be under considerable heat stress during summer days. Multiple techniques, such as mapping local climate zones, segment mean shift-based roof extraction, vegetation index computation, solar azimuth-based green wall site selection, etc., were applied to formulate solutions and provide an integrated method for city-level environment enhancement. A considerable area was identified as most suitable for green roof cover, and it was also computed that the transition towards green roof at only these locations may bring down the maximum heat island intensity by 0.74°C. Additionally, solar zenith, illumination effect, and building height information were combined to create a distinct method where vertical plantation would flourish exceptionally. A rigorous assessment of more than 130 urban green spaces further quantified the relation between landscape geometry and cooling effect to provide optimum green space designs for future urban planning.

Mitigating urban heat island through neighboring rural land cover

Globally, the deteriorating Urban Heat Island (UHI) effect poses a significant threat to human health and undermines ecosystem stability. UHI mitigation strategies have been investigated and utilized extensively within cities by the provision of green, blue or gray infrastructures. However, urban land is precious and limited for these interventions, making it challenging to address this issue. Neighboring rural land cover may serve as a cooling source and have a great potential to mitigate UHI through processes such as heat absorption and circulation. This study aims to address the following questions: (1) what is the location of neighboring rural land cover to effectively mitigate UHI for the entire city and (2) what are the key parameters of the landscape. We investigated the quantitative and qualitative relationships between rural land cover and UHI, drawing on geographical and environmental data from 30 Chinese cities between 2000 and 2020. We found that the rural land cover extending outward from the urban boundary, approximately half of the equivalent diameter of city, had the most pronounced impact on UHI mitigation. The number and adjacency of landscape patches (a patch is a homogeneous and nonlinear basic unit of a landscape pattern, distinct from its surroundings) emerged as two key factors in mitigating UHI, with their individual potential to reduce UHI by up to 0.5 °C. The proposed recommendations were to avoid fragmentation and enhance shape complexity and distribution uniformity of patches. This work opens new avenues for addressing high-temperature urban catastrophes from a rural perspective, which may also promote coordinated development between urban and rural areas.