On-site rainwater harvesting and treatment for drinking water supply: assessment of cost and technical issues

Environmental Science and Pollution Research - This study assessed the performance of rainwater-harvesting systems installed for selected public utilities in the northern provinces of Vietnam where...     

Can China achieve food security through the development of irrigation?

Regional Environmental Change - China faces the dual challenge of water scarcity and food security with continued population growth. This paper explores methods to meet that demand without...     

Optimization of co-digestion of various industrial sludges for biogas production and sludge treatment: Methane production potential experiments and modeling

Optimal biogas production and sludge treatment were studied by co-digestion experiments and modeling using five different wastewater sludges generated from paper, chemical, petrochemical, automobile, and food processing industries situated in Ulsan Industrial Complex, Ulsan, South Korea. The biomethane production potential test was conducted in simplex-centroid mixture design, fitted to regression equation, and some optimal co-digestion scenarios were given by combined desirability function based multi-objective optimization technique for both methane yield and the quantity of sludge digested. The co-digestion model incorporating main and interaction effects among sludges were utilized to predict the maximum possible methane yield. The optimization routine for methane production with different industrial sludges in batches were repeated with the left-over sludge of earlier cycle, till all sludges have been completely treated. Among the possible scenarios, a maximum methane yield of 1161.53 m³ is anticipated in three batches followed by 1130.33 m³ and 1045.65 m³ in five and two batches, respectively. This study shows a scientific approach to find a practical solution to utilize diverse industrial sludges in both treatment and biogas production perspectives.     

Prediction of CO2 absorption by physical solvents using a chemoinformatics-based machine learning model

Environmental Chemistry Letters - The rising atmospheric CO2 level is partly responsible for global warming. Despite numerous warnings from scientists during the past years, nations are reacting...     

Bioaccumulation of dichlorodiphenyltrichloroethanes (DDTs) in carp in a water/sediment microcosm: important role of sediment particulate matter and bioturbation

Environmental Science and Pollution Research - Sediments are reservoirs and sources of DDTs to the aquatic ecosystem. However, the role of sediment particulate matter and benthic organisms in...     

Developing a theory of change for a community‐based response to illegal wildlife trade

The escalating illegal wildlife trade (IWT) is one of the most high‐profile conservation challenges today. The crisis has attracted over US$350 million in donor and government funding in recent years, primarily directed at increased enforcement. There is growing recognition among practitioners and policy makers of the need to engage rural communities that neighbor or live with wildlife as key partners in tackling IWT. However, a framework to guide such community engagement is lacking. We developed a theory of change (ToC) to guide policy makers, donors, and practitioners in partnering with communities to combat IWT. We identified 4 pathways for community‐level actions: strengthen disincentives for illegal behavior, increase incentives for wildlife stewardship, decrease costs of living with wildlife, and support livelihoods that are not related to wildlife. To succeed the pathways, all require strengthening of enabling conditions, including capacity building, and of governance. Our ToC serves to guide actions to tackle IWT and to inform the evaluation of policies. Moreover, it can be used to foster dialogue among IWT stakeholders, from local communities to governments and international donors, to develop a more effective, holistic, and sustainable community‐based response to the IWT crisis.     

区域差异下农业用水效率对农业用水量的影响

基于全国30个省份1998~2015年面板数据,采用Super-SBM模型测算农业用水效率,并在观察农业用水量、农业用水效率动静态演进特征的基础上,利用门槛面板回归模型探究农业用水效率对农业用水量的影响。结果表明,全国农业用水量和农业用水效率均呈阶段性下降。农业用水效率对降低农业用水量具有显著的门槛效应,提高农业用水效率是降低农业用水量的有效途径;东部农业用水效率促进农业用水量下降,但须警惕"回弹效应";中部农业用水效率抑制农业用水量增长,且作用逐渐增强;西部农业用水效率提高能够快速降低农业用水量,但作用逐渐减弱。另外,提升农民受教育水平、增加绿水足迹、扩大农业劳动人口能够降低农业用水量,而丰富的水资源禀赋促进农业用水量增加。     

A model for the analysis of seasonal aspects of water quality control

A multiseasonal mathematical programming model for the analysis of water quality control within a river basin is presented. Phenomena of interseasonal variation in flow intensity and the river's pollutant assimilative capacity are introduced into the model by defining several seasons and their characterizations by seasonal parameters. An application of the model to a typical case situation is reported. The results suggest that seasonal adjustments in the treatment levels of wastewater treatment plants involve a considerable saving potential in comparison with a situation in which treatment levels are rigidly determined for the entire year.     

适合我国国情的城市生活垃圾处理方法

介绍了发达国家所采用的城市垃圾处理技术的原理及其优缺点，对适合我国国情的垃圾处理技术提出了建议。