Resources Conservation and Recycling最新文献

Phosphorus (P) is an important nutrient for human society development and a central factor to pollution issues, especially causing lake eutrophication in the watershed. However, a management method considering both the resource attributes and pollution issues is absent, resulting in disorder and uncertainty governance of P flows. We present a two-dimensions and multiple-nodes distributed management framework of P transport process in the watershed, which incorporates resilience assessment, material flow analysis and scenario analysis. The framework was validated and applied to the Erhai Lake of China. Results show that the imbalance governance exists in the whole-watershed P flows. And it was overly vulnerable to dramatic changes with the key links and nodes related to food production. This framework can be used to identify where and how to improve watershed sustainable P management for reduced pollution and increased food security. Besides, it offers an effective approach for governance of nutrient flows.

This study explores the potential of the reduced demand for land and increase in biogenic CO₂ storage for incorporating crop-based products in wooden buildings. It uses case studies to create a material-flow analysis of future Danish building stock with four market-implementation scenarios. Alternative biobased materials show reductions in the land requirements and improved CO₂ storage, especially for single-family and multifamily houses. This causes a decrease of 50–61 % in the use of wooded land. Danish straw can supply almost a 50 % implementation, rising to 100 % when combined with grass materials. Building designers and planners are encouraged to prioritize fast-growing biobased materials to minimize the requirements for land in wooden buildings. To achieve this, policy-makers should harmonize inclusive biobased building codes, upskill the workforce and financially support pre-approved solutions. Equally important is to investigate the cross-sectoral synergies between construction and agriculture to govern land for its enhanced environmental and social benefits.

Solar power is vital for China's future energy pathways to achieve the goal of 2060 carbon neutrality. Previous studies have suggested that China's solar energy resource potential surpass the projected nationwide power demand in 2060, yet the uncertainty quantification and cost competitiveness of such resource potential are less studied. Therefore, we applied an integrated framework to simulate China's solar photovoltaic (PV) technical potential, and incorporated potential uncertainty stemming from climate change, land use dynamics, and technological advancements. In addition, we constructed the solar energy supply curve for each province and calculated the economic potential. According to our results, approximately 78.6 % and 99.9 % of China's technical solar PV potential are priced lower than the benchmark price of coal-fired energy in pessimistic and optimistic scenario. These findings highlight the significant technical and economic potential of solar PV as a cost-effective alternative to coal-fired electricity to meet China's growing electricity demands.

Often countries don't have adequate systems in place to measure and centrally report waste disposal statistics, yet such data are necessary to inform waste policy and resource allocation. This study evaluates the possibility of using a global elevation change map dataset to remotely estimate volumetric changes – and therefore waste dumping patterns – in landfill sites around the world. The methodology is applied to 100 landfill sites across 5 continents, and the temporal coverage, error estimates, and a comparison with officially reported statistics for selected landfills are shown. The dataset coverage is 2018 to 2021, and 76 % of study sites had sufficient data to allow for volumetric change estimation. Median estimated volume change error in individual sites is 14.7 $m^3·da{y}^{-1}$, but error increases with short temporal data coverage. Estimated volume changes agree with officially reported tonnages for considered sites. National waste authorities or non-governmental bodies could utilize this approach to improve waste statistics for underreported regions.

Cities are positioning themselves at the center of the Anthropocene, hosting most of the world's population and global socioeconomic activities. The increasing prospect of escalating climate hazards is threatening cities and citizens worldwide, indicating the unprecedented importance of urban climate resilience building. However, the disconnect between resilience scholarship and practical policymaking hinders effective, evidence-based policymaking. By analyzing case-based, peer-reviewed articles worldwide, this study reveals the status of current resilience-building policies and the gaps therein. The results suggest that less than a third of the literature discusses policy implementations, with a notable absence of macro-level policies and crisis management toolkits. The authors underscore the potential integrated pathways to transcending the traditional place- and community-based resilience building practices, emphasizing the importance of integrating scholarly insights into practical policy frameworks for a more resilient urban future.

Sustainable urban development critically depends on effectively managing the interplay between material stock (MS) and economic growth. This study combined convolutional neural network model and nighttime lights data to map building MS of Yangtze River Delta (YRD) urban agglomeration in China from 2000 to 2020 across 1 km × 1 km pixel scale, then uncovered the spatiotemporal dynamics of MS and its correlation with economic development. Our findings indicate that the model performed robustly on the test set (R² > 0.88). YRD's MS surged over tenfold, reaching 20,772 teragram, primarily expanding along northwest-southeast developmental axes. Most YRD cities exhibited synchronized growth in material stock and GDP, suggesting an emergent pattern of sustainable urban expansion. However, cities at the developmental extremes highlighted the need for optimizing urban development strategies. By categorizing YRD cities into four distinct development modes, our study offers deep insights into the dynamics of urban development, underpinning targeted strategies that could guide cities towards more sustainable and resource-efficient growth trajectories.