Growth and pollution convergence: Theory and evidence

Stabilizing pollution levels in the long run is a pre-requisite for sustainable growth. We develop a neoclassical growth model with endogenous emission reduction predicting that, along optimal sustainable paths, pollution growth rates are (i) positively related to output growth (scale effect) and (ii) negatively related to emission levels (defensive effect). This dynamic law reduces to a convergence equation that is empirically tested for two major and regulated air pollutants – sulfur oxides and nitrogen oxides – with a panel of 25 European countries spanning the years 1980–2005. Traditional parametric models are rejected by the data. More flexible regression techniques confirm the existence of both the scale and the defensive effect, supporting the model predictions.     

基于细胞尺度的光照对四尾栅藻生长的影响

以四尾栅藻（Scenedesmus quadricauda）为研究对象,采用平行平板流动腔装置,基于计算机视觉的藻细胞动态生长观察方法,从单细胞尺度研究不同光照强度对四尾栅藻藻细胞生长的影响.成功建立了四尾栅藻个体生长曲线模型,模型拟合效果良好.结果表明：在8000lux光照强度下,藻细胞的体积最大比生长速率最大,即四尾栅藻生长的最适光照强度为8000lux;适宜的光照条件可以增加藻细胞分裂时的大小,小于8000lux时,藻细胞分裂体积随着光照强度的增加而增加,大于8000lux时,藻细胞分裂时体积反而越来越小;较高的光照强度还有利于藻细胞适应新的环境,减少藻细胞复苏时间.     

成都地区气溶胶散射吸湿增长因子双变量模型

基于成都市2017年10～12月逐时的“干”气溶胶散射系数和吸收系数观测数据,结合该时段同时次的能见度（V）、相对湿度（RH）以及二氧化氮（NO₂）监测资料,利用“光学综合法”计算气溶胶散射吸湿增长因子,并探究了气溶胶散射吸湿增长因子单变量f（RH）模型的适用性及其改进方案.结果表明：幂函数、二次多项式、幂指函数形式的f（RH）模型在低RH条件下（RH<85%）均能很好地模拟气溶胶散射吸湿增长因子随RH的变化特征,但在高RH条件下（RH>85%）的模拟值会出现较大的偏差.黑碳质量浓度（C_BC）是影响气溶胶散射吸湿增长因子的另一关键变量,二者之间满足非线性关系.以RH和C_BC为自变量构建了气溶胶散射吸湿增长因子双变量f（RH,C_BC）模型,模型计算值和实测值之间的决定系数R²为0.763,平均相对误差MRE为14.28%.双变量模型f（RH,C_BC）的应用显著改善了气溶胶散射消光系数的模拟效果.     

A provider-based water planning and management model--WaterSim 4.0--for the Phoenix Metropolitan Area

Uncertainty in future water supplies for the Phoenix Metropolitan Area (Phoenix) are exacerbated by the near certainty of increased, future water demands; water demand may increase eightfold or more by 2030 for some communities. We developed a provider-based water management and planning model for Phoenix termed WaterSim 4.0. The model combines a FORTRAN library with Microsoft C# to simulate the spatial and temporal dynamics of current and projected future water supply and demand as influenced by population demographics, climatic uncertainty, and groundwater availability. This paper describes model development and rationale. Water providers receive surface water, groundwater, or both depending on their portfolio. Runoff from two riverine systems supplies surface water to Phoenix while three alluvial layers that underlie the area provide groundwater. Water demand was estimated using two approaches. One approach used residential density, population projections, water duties, and acreage. A second approach used per capita water consumption and separate population growth estimates. Simulated estimates of initial groundwater for each provider were obtained as outputs from the Arizona Department of Water Resources (ADWR) Salt River Valley groundwater flow model (GFM). We compared simulated estimates of water storage with empirical estimates for modeled reservoirs as a test of model performance. In simulations we modified runoff by 80%-110% of the historical estimates, in 5% intervals, to examine provider-specific responses to altered surface water availability for 33 large water providers over a 25-year period (2010-2035). Two metrics were used to differentiate their response: (1) we examined groundwater reliance (GWR; that proportion of a providers' portfolio dependent upon groundwater) from the runoff sensitivity analysis, and (2) we used 100% of the historical runoff simulations to examine the cumulative groundwater withdrawals for each provider. Four groups of water providers were identified, and discussed. Water portfolios most reliant on Colorado River water may be most sensitive to potential reductions in surface water supplies. Groundwater depletions were greatest for communities who were either 100% dependent upon groundwater (urban periphery), or nearly so, coupled with high water demand projections. On-going model development includes linking WaterSim 4.0 to the GFM in order to more precisely model provider-specific estimates of groundwater, and provider-based policy options that will enable "what-if" scenarios to examine policy trade-offs and long-term sustainability of water portfolios.     

水稻DDB1基因的表达特性及功能分析

利用RNA干涉技术构建水稻DDB1(Damaged DNA binding protein 1)基因不同启动子驱动植物表达载体,DDB1-RNAi和DDB1-glu-RNAi.通过根癌农杆菌介导转入水稻愈伤,经组织培养成功获得转基因植株.半定量RT-PCR分析显示,与野生型植株相比,两组转基因植株幼叶内DDB1的表达量...     

人力和物质资本对农业经济增长的空间差异

为探索人力、物质两大资本对我国农业经济增长的作用差异,采用我国31个省份2001—2019年的数据实证分析了我国农业经济增长对两大资本的产出弹性。结果表明:人力、物质两大资本对农业经济的增长均具有显著促进作用,且人力资本作用更大。在差异性方面,东部地区、农业经济发展中等水平的地区受物质资本影响显著;中部地区、农业经济高水平的地区两大资本对农业经济均有显著促进作用,且人力资本作用更强;西部地区、农业发展低水平的地区两大资本对农业经济作用不显著,农业经济增长由物质资本驱动向人力资本驱动转变。     

Multi-factor principle for electrolyte additive molecule design for facilitating the development of electrolyte chemistry

When I read the paper"Electrolytes enriched by potassium perfluorinated sulfonates for lithium metal batteries"from Prof. Jianmin Ma's group, which was published in Science Bulletin (doi.org/10.1016/j.scib.2020.09.018), I felt excited as presented a multi-factor principle for applying potassium perfluorinated sulfonates to suppress the dendrite growth and protect the cathode from the viewpoint of electrolyte additives. The effects of these additives are revealed through experimental results, molecular dynamics simulations and first-principle calculations. Specifically, it involves the influence of additives on Li+ solvation structure, solid electrolyte interphase (SEI), Li growth and nucleation. Following the guidance of the multi-factor principle, every part of the additive molecule should be utilized to regulate electrolytes. This multi-factor principle for electrolyte additive molecule design (EAMD) offers a unique insight on understanding the electrochemical behavior of ion-type electrolyte additives on both the Li metal anode and high-voltage cathode. In these regards, I would be delighted to write a highlight for this innovative work and, hopefully, it may raise more interest in the areas of electrolyte additives.     

隧道入口冰雪环境下驾驶员心生理特性研究*

为提高高速公路冰雪环境下隧道入口行车安全水平,探究隧道入口冰雪环境下驾驶员心生理反应特性,依据心生理理论,通过模拟驾驶试验采集驾驶员在冬季晴、雪天气下隧道入口行驶的心率增长率、速度等数据,分析照度变化率、路面摩擦系数、速度对驾驶员心生理的影响规律,明确不同影响因素下隧道入口驾驶员心率增长率变化特征,利用Matlab构建多因素耦合下隧道入口驾驶员心生理反应模型,并设计实车试验验证心生理反应模型有效性。研究结果表明:冰雪环境下隧道入口驾驶员心率增长率紧张阈值为28%,隧道入口冰雪环境下照度变化率安全阈值为51%,心生理反应模型误差小于10%,吻合程度较好。研究结果对提高山区高速公路隧道入口冰雪环境的行车安全性、降低隧道入口事故风险具有重要意义。     

The resource curse revisited and revised: A tale of paradoxes and red herrings

We critically evaluate the empirical basis for the so-called resource curse and find that, despite the topic's popularity in economics and political science research, this apparent paradox may be a red herring. The most commonly used measure of “resource abundance” can be more usefully interpreted as a proxy for “resource dependence”—endogenous to underlying structural factors. In multiple estimations that combine resource abundance and dependence, institutional, and constitutional variables, we find that (i) resource abundance, constitutions, and institutions determine resource dependence, (ii) resource dependence does not affect growth, and (iii) resource abundance positively affects growth and institutional quality.     

氨基酸对烷烃降解菌GS3C降解性能的影响

从广州石油化工总厂污水处理站旁的油泥混合物中分离筛选得到一株烷烃降解菌GS3C,从生理生化及16S rDNA基因扩增测序等方面进行了鉴定,并在振荡好氧培养条件下研究该菌的降解性能及酵母浸膏、碳源、氮源、维生素、水解酪蛋白等营养物对其降解的影响,同时考察不同氨基酸对降解的影响. 结果表明,该菌的16S rDNA基因扩增序列与Burkholderia cepacia的同源性为97%,初步断定该菌株属于洋葱伯克霍尔德氏菌(Burkholderia cepacia),酵母浸膏能促进其对正十六烷的降解,其主要因素为氨基酸对降解的促进作用. 谷氨酸、脯氨酸、赖氨酸、缬氨酸及亮氨酸的混合物对降解菌GS3C的代谢促进作用最好,其中赖氨酸与脯氨酸为关键的2种氨基酸.