洪涝灾害条件下疏散交通生成预测方法

为有助于有关部门更准确预测洪涝灾害受灾民众的疏散量,结合非集计数据和集计数据的优点,提出分区集计数据的概念,设计了受灾区域分区方法,并通过意向偏好(SP)调查法对我国居民在洪涝条件下疏散交通需求数据进行调查。在此基础上,引入BP神经网络建立基于分区集计数据的疏散交通生成预测模型。利用调查数据进行实证分析发现,所设计方法取得了较好的预测效果,鲁棒性较好,平均相对预测误差仅为1.8%,其预测效果明显优于现有的非集计和整集计模型。     

基于开发需求的安徽沿江地区生态经济分区

从压力、状态和人类响应3个方面,构建了生态经济分区指标体系,结合经济开发需求的评价结果,以县(市、城区)为基本评价单元,利用主成分分析与系统聚类的方法,根据自上而下的专家定性评估,遵循空间邻近性原则,将安徽沿江地区划分为7个生态经济类型,即:合肥污染防治与城镇生态优化区、巢滁湖泊湿地保护与平原生态农业区、马芜铜宣工业污染防治与城镇生态优化区、宣南生态农业与水土保持区、安庆平原农业与湿地生态保护区、池州森林保育与生态农业区以及皖西水源保护与森林保育区.     

膜电极法与碘量法测定长江水溶解氧的对比试验

本文对溶解氧的测定，用膜电极法和碘量法两种方法同时进行了对比测定，结果表明，两种方法的精密度基本一致．     

基于水量分配方案的抚河流域最小控制需水量研究

鄱阳湖流域水资源丰富,在非汛期尤其是用水高峰期,存在供需水矛盾和河道外用水挤占河道内用水现象。基于水量分配方案,以控制断面为节点,考虑河道外需水,兼顾河道内生态环境需水,系统提出计算流域控制断面最小控制需水量方法。在此基础上,以抚河流域为例,把流域划分为12个控制断面,分别为沙子岭、黎川、南城、洪门、廖坊、石门、廖家湾、娄家村、马圩、焦石、柴埠口和李家渡,各断面的最小控制需水量分别为740、380、2873、1200、4981、261、5085、7168、050、10894、1556 和1030 m3/s。通过水文监测控制流域断面流量,为落实水量分配方案、保护流域水环境和维持河流生态系统健康提供保障。同时,以最小需水量并与实测流量比较,确定各用水区余缺水量,为实施流域非汛期水量调度提供依据     

对氯气校正法测定高氯废水化学需氧量的方法研究

氯气校正法(HJ/T70-2001)是测定高氯废水化学需氧量的国标方法,为了减少样品测定过程带来的环境污染,研究在不改变HJ/T70-2001氧化体系及测试条件的情况下,将取样体积由20 mL减半为10 mL,试剂的使用量相应减半,对方法的检出限、相对误差、相对标准偏差等指标进行验证。结果表明,该方法的检出限符合要求,准确度较高,精密度较好,可用于高氯废水化学需氧量的测定。     

The influence of Chinese population policy change on resources and the environment

Universal two-child policy has been implemented since the end of 2015 in China. This policy is anticipated to bring a significant increase in the total population, with profound influences on the resources and environment in the future. This paper analyzes the changing dynamics of urban and rural population, and forecasts urban and rural population from 2016 to 2030 at national and provincial scale using a double log linear regression model. Drawing upon the results of these two predictions, the impact of the population policy change on Chinese resources consumption and environmental pollution are predicted quantitatively. Given the future total population maintains current levels on resources consumption and environmental emission, the additional demand of resources and environment demand for the new population is forecasted and compared against the capacity on supply side. The findings are as follows: after implementing the universal two-child policy, China’s grain, energy consumption, domestic water demand, and pollutant emissions are projected to increase at different rates across provinces. To meet the needs arising from future population growth, food and energy self-sufficiency rate will be significantly reduced in the future, while relying more on imports. Stability of the water supply needs to be improved, especially in Beijing, Henan, Jiangsu, Qinghai, and Sichuan where the gap in future domestic water demand is comparatively larger. Environmental protection and associated governing capability are in urgent need of upgrade not least due to the increasing pressure of pollution.     

Assessing the long-term supply risks for mineral raw materials—a combined evaluation of past and future trends

This paper develops a method for identifying and assessing long-term supply risks for mineral raw materials. The method is based on a combined evaluation of past and future supply and demand trends. By analysing raw material boom and bust cycles over the past 50 years, we have quantified indicators and defined benchmarks for identifying critical market situations. By applying the method, risks for supply shortage may be identified at an early stage. In addition, a numerical evaluation model has been developed for better comparison between various mineral raw materials. Compared to other assessment methods this method uses specific benchmarks for each raw material to better assess supply risks. The method is embedded within a systematic and comprehensive analytical approach.     

Forecasting China’s primary energy demand based on an improved AI model

An improved energy demand forecasting model is built based on the autoregressive distributed lag (ARDL) bounds testing approach and an adaptive genetic algorithm (AGA) to obtain credible energy demand forecasting results. The ARDL bounds analysis is first employed to select the appropriate input variables of the energy demand model. After the existence of a cointegration relationship in the model is confirmed, the AGA is then employed to optimize the coefficients of both linear and quadratic forms with gross domestic product, economic structure, urbanization, and technological progress as the input variables. On the basis of historical annual data from 1985 to 2015, the simulation results indicate that the proposed model has greater accuracy and reliability than conventional optimization methods. The predicted results of the proposed model also demonstrate that China will demand approximately 4.9, 5.6, and 6.1 billion standard tons of coal equivalent in 2020, 2025, and 2030, respectively.     

文思湖底泥COD释放规律模拟研究

采用室内模拟实验方法,研究环境因子（温度、pH、扰动强度、供气量）对底泥释放COD的影响。结果表明,水温升高能加速底泥中有机质的释放;上覆水在弱酸至中性条件下底泥释放有机质最低;扰动上覆水体会加快有机质的释放。     

中国ESDPM模型及其在交通需求预测中的应用

交通运输是国民经济的基础部门.未来随着国民经济的快速发展和人均收入水平的不断提高,交通运输部门的能源消费量将会以较高的速度增长,在决定我国终端能耗的局面中占据着非常重要的地位.本文应用集合模型方法建立了中国能源服务需求预测模型( Energy service demand projection model,ESDPM),在对未来经济和社会发展进行合理假设的基础上,预测了中国未来一直到2050年的客运和货运周转量以及小汽车保有量,并进行了国家和地区间的比较.结果显示,2005-2050年中国的客运和货运周转量将分别以年均增长率5.9%和5.1%的速度增长,2050年客运和货运周转量将分别达到23.1万亿人·km和74.7万亿t·km.小汽车将随着人均GDP的快速增加呈现出明显的"S"型增长关系,在小汽车拥有率饱和水平选取为0.4时,小汽车保有量将稳定在5.8亿辆左右.