Stochastic gravity models for modeling lake invasions

Freshwater aquatic systems in North America are being invaded by many different species, ranging from fish, mollusks, cladocerans to various bacteria and viruses. These invasions have serious ecological and economic impacts. Human activities such as recreational boating are an important pathway for dispersal. Gravity models are used to quantify the dispersal effect of human activity. Gravity models currently used in ecology are deterministic. This paper proposes the use of stochastic gravity models in ecology, which provides new capabilities both in model building and in potential model applications. These models allow us to use standard statistical inference tools such as maximum likelihood estimation and model selection based on information criteria. To facilitate prediction, we use only those covariates that are easily available from common data sources and can be forecasted in future. This is important for forecasting the spread of invasive species in geographical and temporal domain. The proposed model is portable, that is it can be used for estimating relative boater traffic and hence relative propagule pressure for the lakes not covered by current boater surveys. This makes our results broadly applicable to various invasion prediction and management models.     

崇明东滩沿海湿地生态系统健康评价

以生态系统健康及压力-状态-响应（PSR）模型作为研究方法，根据沿海湿地生态系统的特点，建立一套沿海湿地生态系统适用的健康评价指标体系。以现有研究数据和统计资料为基础，对长江口崇明东滩湿地进行单因子和综合评价，分别计算其健康度、压力综合指数和响应综合指数。揭示崇明东滩湿地的生态系统健康状况以及形成原因，并提出保护对策和可持续利用的相关建议。研究结果表明：①崇明东滩湿地生态系统的健康度、压力综合指数和响应综合指数分别为0．72、0．64和0．79，总体上仍处于一个较为健康的状态；②崇明东滩湿地生态系统目前的主要压力并不直接来源于土地围垦，而是来源于水环境污染和外来生物入侵。     

唐山市灾害源分布、综合成灾模型及对策管理程序框图

本文对编制唐山市灾害源分布、综合成灾模型及对策管理程序的功能和总框图给予了简要说明,并结合唐山市各种灾害的情况阐述了该程序建立各部分的子框图的重要性和关键技术。     

Ecosystem Manipulation Experimentation as a Means of Testing a Biogeochemical Model

2 concentration, and global or regional temperature change. Such model projections are frequently used as the basis or justification for public policy decisions and legislation. A substantial need has therefore arisen to test and substantiate the veracity of mathematical model projections. Unfortunately, environmental models can never be truly validated because natural systems are never closed and model solutions are always nonunique. Partial model confirmation is possible, however, and entails demonstration of agreement between prediction and observation. Experimental ecosystem manipulation provides one of the best, and in many cases only, available basis for model confirmation. The use and potential misuse of data from experimental ecosystem manipulations for model testing is explored using examples drawn from the application of an acid–base chemistry model, MAGIC. As model projections provide an increasingly important basis for public policy decisions, and as both the scientific questions and the models become increasingly complex, it will become critical to provide data from a suite of well-designed ecosystem manipulation experiments in order to evaluate the quality and uncertainty of those model projections and the models upon which they are based.     

Dynamics of colony development in Polistes dominulus: a modeling approach

A simple model based on feedback mechanisms is developed to describe the dynamics of brood production and colony development of primitively eusocial paper wasps. The presence of pupae and empty cells stimulate egg laying, which varies between a basic rate and a physiological maximum. Newly hatched larvae are fed eggs, causing fluctuations in brood demography and forming cohorts of offspring. The basic feedback mechanisms produce emergent colony-level properties such as synchronized development of the brood and mature nest size. Results suggest that it is incorrect to imply colony decline from lack of nest growth, and that production of waves of offspring can be interpreted as the inevitable result of these simple feedback mechanisms rather than the solution to ultimate optimality criteria. Simulations using the parameters estimated in Polistes dominulus Christ are compared to studies of live wasps to test the validity of the model. Comparing simulated results with a perturbation experiment in nature suggests that feedback relationships establish a system that is robust and resilient against severe disturbance. Received: 20 January 1996/Accepted after revision: 27 April 1996     

滑坡灰色系统预测模型及其应用

本文在分析目前国内外滑坡灰色预测预报模型基础上，提出了一种新的滑坡灰色系统预测预报模型。该模型相对於过去常用的灰色模型考虑了更多的影响因素，有更高的可信度。它不仅可用作滑波的临滑预报，还可用于般监测信息的预测。     

基于XGBoost算法的近地面臭氧浓度遥感估算

本文采用XGBoost机器学习算法,融合臭氧浓度地面监测数据、欧洲中期天气预报中心的ERA5数据集、中国多尺度排放清单模型构建的排放清单数据集、高分辨率遥感影像（TROPOMI＿NO₂、OMI＿NO₂）以及人口数据和DEM数据,构建训练估算数据集,开展近地面臭氧浓度估算研究.模型构建采用递归式特征消除法进行特征变量的选择,并对其进行十折交叉和自建模验证,R²分别为0.871和0.955,RMSE分别为12.8μg·m^-3和7.514μg·m^-3.同时进行了高分辨率遥感影像对估算结果的贡献分析,结果表明引入TROPOMI＿NO₂因子参与建模可校正近地面臭氧浓度普遍被低估现象.模型模拟结果显示臭氧浓度回归估算结果层次更加分明、条带现象消失、连续性和平滑性明显改善.     

Process-based calibration of WRF-Hydro in a mountainous basin in southwestern U.S.

The National Water Model (NWM) will provide the next generation of operational streamflow forecasts across the United States (U.S.) using the WRF-Hydro hydrologic model. In this study, we propose a strategy to calibrate 10 parameters of WRF-Hydro that control runoff generation during floods and snowmelt seasons, and due to baseflow. We focus on the Oak Creek Basin (820 km²), an unregulated mountainous sub-watershed of the Salt and Verde River Basins in Arizona, which are the largest source of water supply for the Phoenix Metropolitan area. We calibrate the model against discharge observations at the outlet in 2008–2011, and validate it at two stream gauging stations in 2012–2016. After bias correcting the precipitation forcings, we sequentially modify the model parameters controlling distinct runoff generation processes in the basin. We find that capturing the deep drainage to the aquifer is crucial to improve the simulation of all processes and that this flux is mainly controlled by the SLOPE parameter. Performance metrics indicate that snowmelt, baseflow, and floods due to winter storms are simulated fairly well, while flood peaks caused by summer thunderstorms are severely underestimated. We suggest the use of spatially variable soil depth to enhance the simulation of these processes. This work supports the ongoing calibration effort of the NWM by testing WRF-Hydro in a watershed with a large variety of runoff mechanisms that are representative of several basins in the southwestern U.S.     

我国区域产业梯度转移中的环境风险及对策

近年来,我国SO₂和COD 2种主要污染物的排放强度逐年下降.以1998年主要污染物排放总量为基数,分析了1998─2007年我国东、中、西部地区的主要污染物排放总量,结果表明,相对于东部地区,中、西部地区污染没有得到更好的控制. 采用古诺模型研究该现象可知,中、西部地区有些地方通过对国家环境政策的“非完全执行”来吸引产业转移,使污染企业转移成为我国区域产业梯度转移的伴生现象. 因此,有必要有序推进产业梯度转移,强化产业梯度转移中的环境正效应,通过严格执行国家环境政策来防范环境风险,从而实现整体环境质量的改善.