用清洁生产的理念防治农业污染的初步探讨

农业发展面临的农业污染问题,已成为制约农业可持续发展的＂瓶颈＂.农业污染问题已经成为影响农村经济发展,以及农村社会和谐发展的重要因素之一.在论述农业清洁生产涵义的基础上,探讨了农业清洁生产防治农业污染问题.以新疆绿洲农业为例,论述了农业污染现状及发展农业清洁生产的必要性,分析探讨了发展农业清洁生产存在的问题和障碍,并提出了对策和建议.     

农业生产转型及其环境效应的研究进展与展望

农业绿色转型已经成为乡村振兴与农业农村深化改革的关键路径,亟待探索农业生产转型与其环境效应的耦合关系与机制,从而推进农业的高质量发展。近年来,学者们基于不同的空间尺度,对农业生产转型及其环境效应的过程、格局、机理与优化调控开展了广泛探讨。为系统梳理该方面研究的相关进展,识别出相应的研究不足,本文采用文献分析与系统归纳相结合的方法,分析了农业生态环境问题的识别、测度与成因等方面的研究态势,从关键要素的视角解析了农业生产转型对生态环境影响的研究进展,并对农业经济增长与农业面源污染和农业生产转型与农业生态效率的相互关系进行了总结。研究指出：未来农业生产转型及其环境效应研究应加强从系统科学的视角解读二者的互馈关系,并关注二者互馈响应的区域异质性,深化基于土地系统科学视角的耕地利用转型的环境影响研究,通过多学科交叉融合加强对中国特色“小农”生产方式转型所引发的环境问题的微观机理探析。     

国际粮食贸易影响下东北黑土地生产压力变化与保护策略

黑土地是重要的农产品生产基地之一,承担着保障国家粮食安全和维护农业生态安全的重要责任,保护好黑土地对促进我国农业可持续发展至关重要。测算与分析2000—2020年东北黑土地粮食生产耕地压力的变化情况,研究国际贸易对东北黑土地粮食生产的耕地压力的影响,利用国际市场占有率指数和贸易竞争优势指数分析东北黑土地农产品在国内及国际两个市场的竞争优势。结果表明：近20年来东北黑土地粮食生产的耕地压力基本处于安全压力区并呈逐步下降的趋势,玉米、大豆、稻谷三种主要作物生产的耕地压力分别从2000年的1.94、1.09和0.63下降至2020年的0.69、0.26和0.54。国际粮食贸易对黑土地粮食生产耕地压力减缓的作用显著且呈现出逐年上升的趋势,2020年对黑土地粮食生产耕地压力减缓的贡献率达26.22%,其中对大豆生产的耕地压力减缓的贡献率达511.48%。农产品贸易优势度分析结果显示,东北黑土地农产品在国内市场具有明显的贸易竞争优势,但在国际贸易中的竞争优势不明显。为此,提出了国际贸易粮食贸易变化背景下黑土地保护的若干建议,为东北黑土地保护及其粮食产能保障相关决策提供参考。     

碳中和趋势下数学模拟在污水处理系统中的发展与综合应用

数学模拟技术在污水处理方面被广泛应用,为了系统总结相关技术,本文回顾了污水处理系统中数学模拟技术的发展历程;综述了活性污泥模型(ASM)与机器学习(ML)在水质预测及参数工况优化领域中的应用;重点探究了污水处理系统中温室气体排放模型,以及多目标优化模型在污水处理系统中温室气体排放(GHG)、出水质量(EQI)和运行成本(OCI)的权衡问题;归纳了数学模拟技术在实现污水厂能量自给与资源回收的应用发展.研究结果表明数学模拟技术能准确预测出水水质、快速优化工艺参数、权衡温室气体排放、出水水质与运行成本之间的关系、以及提高资源回收效率等.因此,数值模拟技术可有效指导污水处理工艺的运行优化以及管理,为污水处理行业减污降碳协同增效提供技术支撑.     

南京城郊不同土地利用类型农业土壤多环芳烃污染特征及风险评价

以南京市城郊不同土地利用类型的农业土壤(水田、菜地和林地)为研究对象,测定了16种PAHs的含量.结果表明,苊烯(Acy)在所有土壤样本中均未被检出,南京城郊农业土壤15种ω(PAHs)的范围在24.49～925.54μg·kg^-1之间,平均值为259.88μg·kg^-1.PAHs含量由高到低依次为：林地>水田>菜地,总体上以高环PAHs(HMW)含量为主.不同土壤理化性质对PAHs的影响表明：土壤有机碳(TOC)和黏粒(clay)含量与PAHs存在一定的相关性,pH和全氮(TN)与PAHs无明显相关性.毒性当量法和CSI指数法表明,南京城郊农业土壤中PAHs生态风险较小,但是林地中应当给予一定的重视.增量终身癌症风险(ILCR)进行健康风险评价表明,儿童健康的威胁风险略大于成人,林地的总的致癌风险(CR)明显高于菜地和水田,仍处于可接受的范围内.对成人进行了蒙特卡洛模拟表明,确定性健康风险的风险分析低估了PAHs的健康风险.敏感性分析结果表明,对CR总方差影响最大的输入参数是暴露频率EF(占50.7%).     

废弃物焚烧处理温室气体排放情景模拟与预测

为模拟废弃物焚烧处理过程中产生的温室气体排放,积极推动温室气体减排工作,早日实现碳达峰碳中和目标.基于系统动力学和IPCC温室气体排放计算方法,构建了以基准情景（BAU）为基础,从单一和综合技术类型减排情景出发的焚烧处理温室气体排放模型,并模拟预测了2010~2050年温室气体排放量（以CO_2e计,CO_2e为CO₂当量）的趋势变化、减排潜力以及空间分布.结果表明：①2010~2019年我国废弃物焚烧处理温室气体排放量呈增长趋势,于2016年后显著提升,年增速为18.61%.②2020~2050年,单一技术减排情景的中端改进情景（S2）和终端减排情景（S3）温室气体排放量分别于2043年和2036年达到峰值8410万t和6966万t.综合技术减排情景相较于单一技术减排情景较早达到排放峰值,综合技术减排情景中全过程减排情景（S7）采用多种减排技术协同控制温室气体排放,2050年累积排放量为205927万t,相对BAU情景减排了78.27%,排放达峰时间最早且减排潜力最大.③焚烧处理温室气体排放空间差异显著,排放量较多的省份主要分布在人口密集且经济发达的区域,江苏和广东省排放量最多,甘肃、吉林和宁夏等6个省份为排放低值区.     

Estimation of Nonpoint Source Nitrate Concentrations in Indiana Rivers Based on Agricultural Drainage in the Watershed

Subsurface tile‐drained agricultural fields are known to be important contributors to nitrate in surface water in the Midwest, but the effect of these fields on nitrate at the watershed scale is difficult to quantify. Data for 25 watersheds monitored by the Indiana Department of Environmental Management and located near a U.S. Geological Survey stream gage were used to investigate the relationship between flow‐weighted mean concentration (FWMC) of nitrate‐N and the subsurface tile‐drained area (DA) of the watershed. The tile DA was estimated from soil drainage class, land use, and slope. Nitrate loads from point sources were estimated based on reported flows of major permitted facilities with mean nitrate‐N concentrations from published sources. Linear regression models exhibited a statistically significant relationship between annual/monthly nonpoint source (NPS) nitrate‐N and DA percentage. The annual model explained 71% of the variation in FWMC of nitrate‐N. The annual and monthly models were tested in 10 additional watersheds, most with absolute errors within 1 mg/l in the predicted FWMC. These models can be used to estimate NPS nitrate for unmonitored watersheds in similar areas, especially for drained agricultural areas where model performance was strongest, and to predict the nitrate reduction when various tile drainage management techniques are employed.     

Effect of Widespread Agricultural Chemical Use on Butterfly Diversity across Turkish Provinces

Although agricultural intensification is thought to pose a significant threat to species, little is known about its role in driving biodiversity loss at regional scales. I assessed the effects of a major component of agricultural intensification, agricultural chemical use, and land‐cover and climatic variables on butterfly diversity across 81 provinces in Turkey, where agriculture is practiced extensively but with varying degrees of intensity. I determined butterfly species presence in each province from data on known butterfly distributions and calculated agricultural chemical use as the proportion of agricultural households that use chemical fertilizers and pesticides. I used constrained correspondence analyses and regression‐based multimodel inference to determine the effect of environmental variables on species composition and richness, respectively. The variation in butterfly species composition across the provinces was largely explained (78%) by the combination of agricultural chemical use, particularly pesticides, and climatic and land‐cover variables. Although overall butterfly richness was primarily explained by climatic and land‐cover variables, such as the area of natural vegetation cover, threatened butterfly richness and the relative number of threatened butterfly species decreased substantially as the proportion of agricultural households using pesticides increased. These findings suggest that widespread use of agricultural chemicals, or other components of agricultural intensification that may be collinear with pesticide use, pose an imminent threat to the biodiversity of Turkey. Accordingly, policies that mitigate agricultural intensification and promote low‐input farming practices are crucial for protecting threatened species from extinction in rapidly industrializing nations such as Turkey. Efectos del Uso Extensivo de Agroquímicos sobre la Diversidad de Mariposas en Provincias Turcas     

The Clean Development Mechanism and Sustainable Development in China''''s Electricity Sector

1 INTRODUCTIONEnergy and environmental issues in China have receivedsignificant attention in both the peer-reviewed literatureand in international energy and environmental policymaking in the last number of years. China's coal dominatedenergy consumption results in significant regional pollutionproblems, most notably acid rain that affects nearly 1/3rdof China's landmass and air pollution that plagues manyof its major cities. China now ranks as the top emitterof sulphur dioxide (SO2) pol…     

ENVIRONMENTAL AND ECONOMIC DAMAGE CAUSED BY SEDIMENT FROM AGRICULTURAL NONPOINT SOURCES1

Environmental and economic damages caused by agricultural nonpoint source inputs of sediment and associated pollutants are examined. Widespread water quality problems are identified in lakes, rivers, and estuaries in agricultural areas, and billions of dollars of on-site and offsite costs result from this eroded soil every year. Some water bodies have been irretrievably damaged, and expensive rehabilitation programs are needed to remedy in-place water pollution problems if Clean Water Act goals are to be achieved. Unless effective abatement and rehabilitation programs are established, billions of dollars of benefits to future generations will not be realized as more waters become irretrievably damaged, and billions more will continue to be spent by government to treat symptoms of these sediment-related problems.