A new method of hotspot analysis on the management of CO and air pollutants, a case study in Guangzhou city, China.

Emission inventory plays an important role in designing effective emission control strategies. Currently, there is unbalanced development of CO and air pollutant emission inventories in China and the spatial information of both cannot be obtained simultaneously, which prevents a collaborative control strategy. In this study, we developed a unified emission inventory including both CO and air pollutants, then utilized spatial mapping methods to identify the co-hotspots of both CO and air pollutants at a high spatial resolution (1 × 1 km).

Allocating China's 2025 CO emission burden shares to 340 prefecture cities: methods and findings.

Peak emission is an important policy/scheme for all the countries to respond greenhouse gas mitigation. The key is how to distribute the emission burden shares to its sub-regions. This study aims to develop a prefecture city leveled CO emission allocation model by integrating multi-indicators method and benchmark method so that China's 2025 (end year of 14th Five-Year Plan, FYP) CO emission burdens can be allocated to its prefecture cities and provinces.

A systematic assessment of city-level climate change mitigation and air quality improvement in China.

China is facing dual challenges of air pollution and climate change. By using city-level data, we comprehensively assessed air quality and CO emission changes from 2015 to 2019 for 335 Chinese cities. We selected important regions for air pollution control and categorized all cities into different classes according to their development levels.

Co-benefits of peaking carbon dioxide emissions on air quality and health, a case of Guangzhou, China.

Cities play a key role in making carbon emission reduction targets achievable and tackling air pollution. Using Guangzhou city as a case, this paper explored the air quality and health co-benefits of peaking carbon dioxide emissions under three scenarios and developed an integrated assessment framework by combining a local air pollutant emission inventory, an atmospheric chemistry transport model, and a health assessment model. The results showed that SO, PM, and PM could achieve larger emission reductions than NH, VOCs, and NOx among all the scenarios we examined.

Who is a good neighbor? Analysis of frontrunner cities with comparative advantages in low-carbon development.

A well-developed economy and low-carbon emission intensity are important characteristics of low-carbon cities; they also represent important tasks for achieving global climate change mitigation goals. It is seldom discussed, however, how we should identify frontrunner cities from which low-carbon development experiences can be gleaned and then implemented in neighboring cities. This study, therefore, proposed a simple indicator-the "good neighbor index"-to identify frontrunner cities in low-carbon transformation based on economic and emission performance.

CO emissions patterns of 26 cities in the Yangtze River Delta in 2015: Evidence and implications.

As a country with the highest CO emissions and at the turning point of socio-economic transition, China's effort to reduce CO emissions will be crucial for climate change mitigation. Yet, due to geospatial variations of CO emissions in different cities, it is important to develop city-specific policies and tools to help control and reduce CO emissions. The key question is how to identify and quantify these variations so as to provide reference for the formulation of the corresponding mitigation policies.

Community-wide assessment of protein-interface modeling suggests improvements to design methodology.

The CAPRI (Critical Assessment of Predicted Interactions) and CASP (Critical Assessment of protein Structure Prediction) experiments have demonstrated the power of community-wide tests of methodology in assessing the current state of the art and spurring progress in the very challenging areas of protein docking and structure prediction. We sought to bring the power of community-wide experiments to bear on a very challenging protein design problem that provides a complementary but equally fundamental test of current understanding of protein-binding thermodynamics. We have generated a number of designed protein-protein interfaces with very favorable computed binding energies but which do not appear to be formed in experiments, suggesting that there may be important physical chemistry missing in the energy calculations.

Protein-protein docking with binding site patch prediction and network-based terms enhanced combinatorial scoring.

Protein-protein docking has made much progress in recent years, but challenges still exist. Here we present the application of our docking approach HoDock in CAPRI. In this approach, a binding site prediction is implemented to reduce docking sampling space and filter out unreasonable docked structures, and a network-based enhanced combinatorial scoring function HPNCscore is used to evaluate the decoys.