Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

Knowledge gain and behavioral change in citizen-science programs

Citizen-science programs are often touted as useful for advancing conservation literacy, scientific knowledge, and increasing scientific-reasoning skills among the public. Guidelines for collaboration among scientists and the public are lacking and the extent to which these citizen-science initiatives change behavior is relatively unstudied. Over two years, we studied 82 participants in a three-day program that included education about non-native invasive plants and collection of data on the occurrence of those plants. Volunteers were given background knowledge about invasive plant ecology and trained on a specific protocol for collecting invasive plant data. They then collected data and later gathered as a group to analyze data and discuss responsible environmental behavior with respect to invasive plants. We tested whether participants without experience in plant identification and with little knowledge of invasive plants increased their knowledge of invasive species ecology, participation increased knowledge of scientific methods, and participation affected behavior. Knowledge of invasive plants increased on average 24%, but participation was insufficient to increase understanding of how scientific research is conducted. Participants reported increased ability to recognize invasive plants and increased awareness of effects of invasive plants on the environment, but this translated into little change in behavior regarding invasive plants. Potential conflicts between scientific goals, educational goals, and the motivation of participants must be considered during program design.     

耐高温酵母高浓度发酵生产燃料乙醇工艺优化

采用两水平部分因子设计(23Fractional Factorial),选取发酵温度、接种量、初始糖浓度为自变量考察因素,以最终发酵乙醇浓度和9 h生物量浓度为响应值,考察耐高温高浓度酵母的燃料乙醇发酵能力,并对实验数据进行二次模型变异分析(Ahalysis of variance,ANOVA),建立了三元二次方程数学...     

船舶溢油应急反应人的可靠性分析研究

为减小船舶溢油事故应急反应人员失误概率,提升应急处置效果,在对应急人员可靠性主要影响因素识别的基础上,利用模糊贝叶斯网络(BN)建立船舶溢油应急人的可靠性分析(HRA)模型,将应急反应流程抽象为可进行概率推算的BN,实现单个应急任务和全过程人的可靠性的量化评估,并依据该模型对一起船舶溢油事故进行实例研究。结果表明,首先模糊集值专家评估较好地解决应急人员可靠性情境依赖性强,难以量化评估的问题;其次,BN卓越的概率推理性能实现由单个应急任务向全过程人的可靠性的推算;最后得到应急反应人的可靠性主要取决于关键应急任务的完成情况和相关情境因素的影响。     

基于洪水演进数值模拟的溃坝危害性快速评估

采用部分溃坝模型与堰流相交算法计算溃坝最大流量,并基于四次抛物线概化方法得到溃坝洪水的流量过程线;利用洪峰展平法将洪水波概化为三角形,对洪水演进过程进行模拟,分析溃口宽度和溃口形态对洪水演进过程的影响;研究考虑不同溃坝条件下对溃坝洪水的到时、最大流量、水深和洪水历时等洪水演进的主要参数的快速估算方法,以实现对地震可能引发不同溃坝事件危害性的快速评估。     

1780-1819年华北平原水旱灾害社会响应方式的转变

历史时期水旱灾害的社会响应典型案例重建是气候变化影响与适应研究的重要方向。选取1780-1819年间华北平原发生的4次典型水旱灾害(1785、1792、1813年旱灾及1801年水灾),基于清代档案资料和历史气候重建结果提取代用指标,对其灾情严重程度、政府救灾力度和灾民行为进行了量化描述和对比分析,发现:①4次灾害中赈济密度(赈灾物资数/成灾州县数)逐次下降,1813年旱灾中降至不足1785年旱灾的1/6,政府救灾力度遭到严重削弱;②灾民行为日益失控,从1792年旱灾和1801年水灾中的大规模跨区域迁徙,发展到1813年旱灾中大量加入盗匪和起义军,走向暴力。这一转变的发生,是在自然(气候突变、灾害增多)、社会(政府财政危机、人地矛盾激化)不利背景之下,政府与灾民的互动关系日趋消极的结果。     

螺形龟甲轮虫形态结构对环境变化的响应

以螺形龟甲轮虫为研究对象,于2015年7月至2018年12月,选取广东南澳岛及湖南常德中营养至中度富营养水体共14个样点进行采样,对螺形龟甲轮虫进行了形态特征测量分析.结果表明,水温是螺形龟甲轮虫形态变化最主要影响因子,且与背甲长、背甲宽、棘刺长度均呈显著负相关（P<0.01）.不同纬度条件下螺形龟甲轮虫形态参数差异显著,常德地区螺形龟甲轮虫个体显著大于南澳地区（P<0.05）.螺形龟甲轮虫形态存在显著季节性变化,各形态参数随季节波动呈现夏秋、冬春分化模式.螺形龟甲轮虫后棘刺长随水体营养程度增加而减小（F=159.4,P<0.01）,富营养条件下后棘刺长度占全长的比例减小（F=167.5,P<0.01）.研究结果表明,螺形龟甲轮虫棘刺长度可作为水质生物监测指标,并为研究全球气候变暖提供重要参考.     

重污染天气应对“绩效分级、差异化管控”措施首次实践效果后评估

为提高重污染天气应对的科学性和精准度,2019年7月生态环境部制定重污染天气应对“绩效分级、差异化管控”措施.为应对9月底至10月初的重污染过程,京津冀及周边共68个城市启动重污染预警,该措施得以首次实践.通过时间序列断点回归方法对该措施效果进行评估发现,空气质量改善存在滞后的现象,SO₂、 NO₂和CO这3个气态污染物改善速度较快,对涉及二次生成的O₃和PM_2.5两个污染物见效速度相对较慢. 10月1日恰逢在北京举办庆祝中华人民共和国成立70周年阅兵式,对10月1日当天进行评估,发现与假如不采取措施的情形相比,重污染应急措施使北京市PM_2.5、 NO₂和CO日均浓度显著下降,下降幅度分别为54.1%、 62.4%和25.8%.如果不采取重污染应急措施,北京10月1日上午可能出现中重度污染,但实际上空气质量保持在良的水平.区域启动预警的68城市PM_2.5、 PM₁₀、 NO₂、 SO     

掘进面出风口风流与风幕调控下的粉尘分布响应曲面优化研究*

为了解决煤矿掘进面风筒出风口参数不能动态变化,而传统风幕全断面控尘效果不理想引起的粉尘浓度高等问题,通过分析风幕和出风口参数对粉尘分布规律的影响,以此得到合理的出风口风流与风幕综合调控方案,降低粉尘浓度。以陕西神木柠条塔煤矿N1212巷道为研究对象,利用Fluent软件建立出风口风流与风幕综合调控的粉尘场有限元模型,设计出风口风流及风幕综合调控响应曲面实验,得到最佳综合调控方案为:风幕射流出口宽度为0.16 m,风幕射流出口速度为6 m/s,出风口口径为0.9 m,出风口右偏角度为3°。搭建相似模拟实验平台来验证最佳综合调控方案,研究结果表明:调控后回风侧行人呼吸处和司机位置处粉尘平均浓度分别降低89%和81%,有效改善掘进面作业环境。