宇宙射线中子法在土壤水分监测研究中的应用进展

宇宙射线中子法(cosmic ray neutron probe,CRNP)是一种通过监测近地表宇宙射线中子流变化来预测土壤含水量的方法。该方法的突出特点在于百米范围的监测尺度,填补了传统点测量和遥感大范围监测间的尺度空缺,并为中小尺度农田、环境和水文等方面研究提供一种新的土壤水监测新技术。在介绍用CRNP法测量土壤含水量基本原理的基础上,分析了该方法测量结果的空间尺度代表性以及大气、土壤和植被等环境因素对其测量结果的影响;综述了近年来该方法在农业管理、水文研究和气象预报等领域的应用进展和动态以及当前研究中存在的问题和今后可能的发展方向。通过对相关研究成果的总结和分析,期望为该技术的深入发展和推广应用提供帮助。     

水文连通性研究进展

水文连通是反映流域水生态过程、蓄泄能力及修复效果的关键指标,也是国家解决水问题的重要途径.在总结前人研究基础上,尝试界定水文连通性的内涵及范畴,同时对水文连通性的评估方法、理论体系及其应用实践进行综述.水文连通性的狭义概念是指流域内物质以水为媒介,在空间异质性景观或斑块内(间)进行传输的便利程度;广义概念则指地球外部各圈层内(间)各种生态水文及生物地球化学过程在不同时空尺度上的流通程度.将目前已有的水文连通性评估方法划分为原位监测、水文模型、连通性函数和图论等4类,现有方法多关注流域尺度内地表水文结构连通度的定量表征,尚不具备尺度推绎性.水文连通理论体系研究目前尚落后于实践、未成系统.最后介绍了水文连通在影响平原水网调蓄能力和修复受损水生态系统功能两个方面的应用实践.未来应结合地学信息技术与野外监测数据,开展跨多时空尺度域的综合水文连通性定量评估;重点关注连通工程前中后需遵循的原理;应用实践应重点关注不同河流结构的河网调蓄特征和最佳蓄泄调度,以及构建能够表征各种关键模块的综合水文连通修复模型框架,筛选能够指示修复过程或效果的关键因素.     

基于FLUXNET的CLM模型生态系统呼吸模拟验证

准确估算陆地生态系统呼吸(Ecosystem respiration,RE)对全球陆地生态系统碳收支研究具有重要意义.模型模拟是估算陆地RE变化的一种常用手段.然而目前陆地生态系统过程模型的RE模拟尚未得到充分验证.基于耦合模式比较计划第五阶段(Coupled Model Intercomparison Project Phase 5,CMIP5)的通用陆面模型(Community land model,CLM)RE模拟结果和全球通量网(FLUXNET)66个站点的涡度相关通量观测数据(277条站点年数据)评估CLM模型对RE的模拟效果.结果表明:~(1)在空间尺度上,CLM低估了高纬度站点RE,高估了低纬度站点RE,但高纬度低估量更大导致空间格局整体低估(相对误差为-3.56%).(2)在时间尺度上,CLM模型基本捕捉了RE的年际和季节变化,相关系数分别为0.60(P0.001)和0.63(P0.001);CLM低估年尺度和月尺度的RE(以C计_),绝对误差分别是-182.21 g m-~(2 )a-~1、-120.16 g m-~(2 )mon-~1,相对误差分别是-17.84%、-10.60%.(3)CLM模型对不同植被功能型的RE模拟效果不同,由优及差依次为混交林、常绿针叶林、草地、农田、落叶阔叶林、常绿阔叶林.本研究在时空尺度上量化了CLM模型的生态系统呼吸模拟误差,并分析了土壤呼吸Q10和MRbase参数以及土壤碳库模拟等因素的影响,可为CLM模型的生态系统呼吸模块参数优化提供依据,进而提升其模拟精度.(图4表3参80附图2附表2)     

区域及全球尺度的NPP过程模型和NPP对全球变化的响应

植被净第一性生产力（NPP）不仅是表征植被活动和生态过程的关键参数,而且是判定生态系统碳汇和反映生态系统对全球变化响应的主要因子。当前,模型模拟成为大尺度NPP研究的主要手段,而在众多NPP估算模型中,过程模型逐渐趋于主导地位。虽然目前有关NPP的研究有很多,但还没有关注于大尺度上应用的过程模型及其模拟的NPP对全球变化的响应。因此本文主要侧重于 NPP 过程模型在区域及全球尺度上的应用,具体包含以下内容,①进一步将区域及全球尺度的NPP过程模型分为静态植被模型和动态植被模型。②阐明这些模型间存在的区别与联系。③归纳出NPP过程模型在区域及全球尺度上应用的3大挑战：时空尺度转换、多源数据的获取与融合以及模型模拟结果的验证与评价,并根据其解决方案总结出通用的模型应用框架。④从气候变化、大气成分变化和土地利用/土地覆盖变化3个方面探讨NPP对全球变化的响应机制,以期找到NPP变化的规律与模式。最后根据NPP模型的发展对未来区域及全球尺度的NPP过程模型进行展望,认为未来模型的综合性将更高,机理性也将更强,同时与全球变化研究结合得更加紧密,且基于多个已有模型的混合模型也是未来NPP模型发展的一个重要方向。此外,本文认为对NPP模拟结果的尺度效应研究也是未来NPP研究的热点之一。     

基于实测站点的区域森林水源涵养量空间化方法综述

在全球气候变暖、人口增加和淡水资源紧张等多重压力下,水资源存储和保护至关重要,森林水源涵养是对降雨的截留、存储和调控,是调节气候、存储水资源的重要过程。已有的大尺度水源涵养量研究多是基于水文或遥感模型估算,缺乏基于站点实测数据的大尺度区域水源涵养量空间化方法的系统研究。该研究提出了基于实测站点的大尺度区域森林水源涵养量空间化框架,总结了林冠层、枯落物层、土壤层和森林水源涵养量的影响因子及其影响方式;在此基础上,综述了结合影响因子的站点空间化方法,总结了森林水源涵养量空间化存在的问题;最后,指出了站点空间化过程中辅助变量选择、分区分模型空间化、森林水源涵养量动态变化等方面的未来研究方向。     

2001-2020年内蒙古净生态系统生产力格局多时间尺度分析

掌握净生态系统生产力(NEP)时空格局对提高干旱/半干旱地区生态系统功能有重要意义。已有的NEP时空格局研究大多以年尺度开展分析,而NEP在多时间尺度上的特征差异尚不明晰。基于多源遥感、气象和地面实测数据,采用CASA模型、土壤呼吸地质统计模型(GSMSR)和土壤呼吸-土壤异养呼吸(Rs-Rh)关系模型耦合模拟内蒙古2001-2020年NEP,分析其年、季、月多时间尺度时空特征,并探讨8种不同植被NEP的多时间尺度特征差异。结果表明,1)内蒙古年尺度NEP的空间分布格局稳定,从东北向西南递减,这一格局与春夏秋3季及植被生长期的3-10月一致,而冬季植被进入休眠期使得空间差异显著减小。2)内蒙古多时间尺度NEP年际变化趋势有所不同：年尺度上,内蒙古总NEP呈波动上升趋势,年际变化率为C 3.75 Tg·a^-1;季尺度上,夏季增长趋势最大,占全年增长的41.6%,春秋两季对NEP的增长也起到至关重要的作用,分别占比34.9%和23.3%,冬季对NEP增长贡献非常有限;月尺度上,NEP年内变化与植被生长物候周期较为接近,1月和12月年际NEP为减少趋势,其余月份年际NE...     

基于多元线性模型、支持向量机(SVM)模型和地统计方法的地表水溶解性总固体(TDS)估算及其精度对比——以艾比湖流域为例

地表水溶解性总固体(TDS)是地表水各组分浓度的总指标,是地表水水化学特性长期演变的最终结果,也是表征水文地球化学作用过程的重要参数,TDS的高低直接影响地表水的含盐量.本研究以艾比湖流域为研究对象,结合实测地表水TDS数据;选用准同步的Landsat OLI数据,首先,利用光谱诊断指数选取与地表水TDS相关性较高的波段,其次,利用地统计方法、多元线性回归模型和支持向量机(SVM)模型对TDS进行预测,并对其结果进行精度比较.结果表明,SVM模型为最优估测模型,拟合决定系数R2为0.97,均方误差(RMSE)为50.59;多元线性回归模型的精度与SVM模型精度较为接近,拟合决定系数R2为0.9,RMSE为66.55;地统计克里格插值法预测精度最低,拟合决定系数R2为0.87,RMSE为95.73.遥感估测SVM模型预测值在大区域能较好地反映出艾比湖流域TDS的总体特征.该模型在水质遥感领域的应用中具有良好的可行性和有效性,其预测结果也与艾比湖流域水体TDS的实际分布相吻合,因此遥感估测SVM模型在水质估测中具有一定的应用潜力.     

耦合流域模型及在中国环境规划与管理中的应用进展

流域水环境模型是研究流域水体黑臭、水体富营养化和水质超标问题的重要工具,流域水环境模型从概念上可以分为(半)机理模型和经验型模型,前者通过方程式和函数关系来刻画流域水动力和迁移转化规律,并通过实测数据校准获取本土化的参数系数,后者力图寻求大数据量间的统计学规律。按照模拟对象的不同,流域水环境模型还可以划分为陆域的污染负荷模拟模型、水域的受纳水体模拟模型,以及水-陆耦合模拟模型。模型对整个流域系统及其内部发生的复杂地球化学过程进行定量化描述,污染负荷模型一般用来估算点源及非点源产生的污染负荷量,并计算出进入河道的污染负荷量,作为受纳水体模型的污染源边界输入条件;受纳水体模型一般用来模拟沉积物或污染物在河流、湖泊、水库、河口、沿海等水体中的运动和衰减转化过程,是水质预测、评价、分析的重要工具。传统的流域模型多用评价自然活动以及人类活动对水环境造成的影响,而当前越来越多的学者将水环境模型与经济学模型进行耦合,开展基于水环境模型的环境政策设计和优化研究。文章从系统控制的视角,主要总结了水量水质耦合流域模型在水资源管理政策、水环境管理政策中的应用,例如水资源有效分配、排污交易产生的水环境影响、基于成本-效益的水污染控制策略优化等。在此基础上文章对流域水环境模型的发展方向和应用前景进行了的展望,流域水环境容量控制策略、目标总量控制策略的水环境影响比较分析以及水环境模型的不确定性研究将是未来关注的重点所在,尤其不确定性问题经常存在于水污染物产排放预测和水环境质量模拟预测过程中,对于提升环境规划与管理的科学性、有效性具有十分重要的现实意义。     

西北干旱区气候变化对水资源影响关系探讨

西北干旱区是对全球变化响应最敏感地区之一,由于气候变化问题导致的水文、水资源问题越来越突出.研究分析全球变暖背景下的西北干旱区水资源问题,对应对和适应未来气候变化带来的影响具有重要意义.通过对西北干旱地区气候变化特征分析,探讨气候变化对水资源的影响,提出关于西北干旱区水文模型的建立与改进的建议,以期为后期关于制定西北地区经济发展战略提供地理方面参考.     

SWAT模型在国内外非点源污染研究中的应用进展

模型模拟是定量估算非点源污染负荷的有效工具,也是对其进行规划、控制和管理的前提.近年来SWAT模型在国内外得到了快速的发展和应用,是目前全球评价大范围和环境变化条件下非点源污染问题的一个有效工具.简介SWAT模型的发展历程及原理,概述了SWAT模型目前在国内外的水文评价、污染物流失模拟、输人参数、土地利用及气候变化对水文响应的影响等方面的研究现状,并对SWAT模型的发展方向提出了建议,为模型的进一步完善与应用提供参考.结果显示,SWAT模型对水文评价(如径流量、泥沙量)可得到较好的模拟和预测结果,能够模拟污染物(如农药和化肥)在农田和河网中的迁移过程,模拟与分析土地利用/覆被变化及气候变化对水文过程的影响.模型参数的确定及其对地下水流与溶质运移的模拟是模型的主要问题,需要进一步研究与完善.     

Esteros del Ibera: hydrometeorological and hydrological characterization

The objective of this work is to analyze at a regional scale the hydrometeorological and hydrological characteristics of the Esteros del Ibera, a vast freshwater wetland located in NE Argentina. Since water is the main driving force in the inland wetlands and variations in water level impose conditions on the behavior of vegetation and animal populations, the knowledge of the main hydrometeorological variables that affect the hydrology is essential. Data correlation analysis makes it possible to evaluate the observed changes in the wetland and to infer its response to regional climatic change. As a first approach, the construction of a topo-bathymetric map provides a basic tool for developing a digital elevation model (DEM) using a geographic information system (GIS) and models that are based on a spatial scale.     

Using a fisheries ecosystem model with a water quality model to explore trophic and habitat impacts on a fisheries stock: A case study of the blue crab population in the Chesapeake Bay

Recent calls for the development of ecosystem-based fisheries management compel the development of resource management tools and linkages between existing fisheries management tools and other resource tools to enable assessment and management of multiple impacts on fisheries resources. In this paper, we describe the use of the Chesapeake Bay Fisheries Ecosystem Model (CBFEM), developed using the Ecopath with Ecosim (EwE) software, and the Chesapeake Bay Water Quality Model (WQM) to demonstrate how linkages between available modeling tools can be used to inform ecosystem-based natural resource management. The CBFEM was developed to provide strategic ecosystem information in support of fisheries management. The WQM was developed to assess impacts on water quality. The CBFEM was indirectly coupled with the WQM to assess the effects of water quality and submerged aquatic vegetation (SAV) on blue crabs. The output from two WQM scenarios (1985-1994), a baseline scenario representing actual nutrient inputs and another with reduced inputs based on a tributary management strategy, was incorporated into the CBFEM. The results suggested that blue crab biomass could be enhanced under management strategies (reduced nutrient input) when the effective search rate of blue crab young-of-the-year's (YOY's) predators or the vulnerability of blue crab YOY to its predators was adjusted by SAV. Such model linkages are important for incorporating physical and biological components of ecosystems in order to explore ecosystem-based fisheries management options.     

Development and test of a crop growth model for application within a Global Change decision support system

When examining potential impacts of Global Change on water resources on the regional scale, spatial and temporal changes in crop water and nitrogen demand are of fundamental significance. State-of-the-art crop growth models are powerful tools to assess the response of crops to altered environmental conditions and cultivation practices. In this paper, the process-based, object-oriented and generic DANUBIA crop growth model is presented. To evaluate the performance of the model, a validation analysis is carried out by comparing modelled data with various field measurements of sugar beet, spring barley, maize, winter wheat and potato crops. Model performance statistics show that crop growth is efficiently simulated. The closest agreement between measured and modelled biomass and leaf area index is achieved for sugar beet and winter wheat. Additionally, the response of the model to changed nitrogen availability caused by cultivation practices is analysed and reveals good results. The results suggest that the model is a suitable tool for numerically assessing the consequences of Global Change on biomass production, water and nitrogen demand, taking into account the complex interplay of water, carbon and nitrogen fluxes in agro-ecosystems.     

An integrated ecosystem service assessment in an artificial desert oasis of northwestern China

Spatially explicit integrated assessment of ecosystem services is a new and important research field in landscape ecology. The objective of this paper was to develop an integrated process-based modeling method to simulate changes in multiple ecosystem services in 2000–2009 at pixel and regional scales in the Zhangye oasis of northwestern China. Six ecosystem service indicators were selected and quantified using process-based models, including net primary production (NPP), grain production, net oxygen production (NOP), carbon sequestration (CS), water conservation, and soil conservation. Analytical results were as follows: (1) At the oasis scale, NPP, NOP, CS, water conservation, and soil conservation decreased from 2000 to 2009, whereas grain production increased. (2) At the pixel scale, the spatial changes in NPP were similar to those in NOP and CS, but changes in grain production showed the opposite pattern. Water conservation and soil conservation showed somewhat unintuitive spatial patterns. (3) The impact of land-use forms on ecosystem services showed that grazing and township construction both had negative impacts on all services, but that nature conservation and wetland development had positive impacts on all services. This research showed that the integrated modeling can be proposed as an environmental decision-making tool in similar case studies.     

Ecological properties of soil water and effects on forest vegetation in the Loess Plateau

In the Loess Plateau of China, soil water has three ecological properties: high infiltration capacity, high storage capacity and availability to deep plant roots. Soil desiccation is the most serious problem for forest vegetation in the Loess Plateau. Arid soils are the result of intensified soil desiccation caused by disturbances in plant succession, which constitute the ecological foundation of soil water. The negative effects of the arid soil layer on surface water infiltration for recharging underground water are discussed in terms of ecological hydrology. The arid soil layer disrupts the link between surface water and underground water and prevents vertical precipitation infiltration from supplementing underground water. Forest vegetation has a significant runoff-retaining efficiency that reduces total runoff from forest areas leading to low surface and ground runoff which affect the water cycle on a watershed scale.     

Application of a water quality model in the White Cart water catchment,Glasgow, UK

Water quality models of urban systems have previously focused on point source (sewerage system) inputs. Little attention has been given to diffuse inputs and research into diffuse pollution has been largely confined to agriculture sources. This paper reports on new research that is aimed at integrating diffuse inputs into an urban water quality model. An integrated model is introduced that is made up of four modules: hydrology, contaminant point sources, nutrient cycling and leaching. The hydrology module, T & T consists of a TOPMODEL (a TOPography-based hydrological MODEL), which simulates runoff from pervious areas and a two-tank model, which simulates runoff from impervious urban areas. Linked into the two-tank model, the contaminant point source module simulates the overflow from the sewerage system in heavy rain. The widely known SOILN (SOIL Nitrate model) is the basis of nitrogen cycle module. Finally, the leaching module consists of two functions: the production function and the transfer function. The production function is based on SLIM (Solute Leaching Intermediate Model) while the transfer function is based on the flushing hypothesis which postulates a relationship between contaminant concentrations in the receiving water course and the extent to which the catchment is saturated. This paper outlines the modelling methodology and the model structures that have been developed. An application of this model in the White Cart catchment (Glasgow) is also included.     

Integrating wetlands and riparian zones in river basin modelling

Wetlands, and in particular riparian wetlands, represent an interface between the catchment area and the aquatic environment. They control the exchange of water and related chemical fluxes from the upper catchment area to surface waters like streams and lakes. Their influence on water and nutrient balances has been investigated mainly at the patch scale. In this study an attempt was made (a) to integrate riparian zones and wetlands into eco-hydrological river basin modelling, and (b) to quantify the impacts of riparian wetland processes on water and nutrient fluxes in a meso-scale catchment located in the northeastern German lowland. The investigation was performed by analysing hydro-chemical field data and applying the eco-hydrological model SWIM (Soil and Water Integrated Model), which was extended to reproduce the relevant water and nutrient flows and retention processes at the catchment scale in general, and in riparian zones and wetlands in particular. The main extensions introduced in the model were: (1) implementation of daily groundwater table dynamics at the hydrotope level, (2) implementation of water and nutrient uptake by plants from groundwater in riparian zones and wetlands, and (3) assessment of nutrient retention in groundwater and interflow. The simulation results indicate that wetlands, though they represent relatively small parts of the total catchment area, may have a significant impact on the overall water and nutrient balances of the catchment. The uncertainty of the simulation results is considerably high, with the main sources of uncertainty being the model parameters representing the geo-hydrology and the input data for land use management.     

盐碱草原土壤特性及生物量空间异质性研究

土壤盐分是土壤特性中最活跃和复杂的一部分。受土壤性质、气象、地形、地下水文及长期地球化学过程等自然条件和耕作、灌溉等人类活动因子的影响,土壤水分、盐分的变异状态在一定程度上反映了土壤各层的盐渍化程度和状态。而土壤盐分与水分、土壤物理性质等有十分密切的联系,因此,运用地统计学研究采用振动深松集成技术改良盐碱化草原前后土壤水分、盐分等特性的空间变异规律,以地理信息系统ArcGIS为平台,建立土壤水分、盐分等图形数据和属性数据相结合的信息数据库,建立其空间分异模型和空间分布图,直观的表现各特性的空间变异规律。结果表明,采用振动深松集成技术后土壤盐分含量在空间上有递减,平均ρ（土壤盐）由5.60g.L-1下降到3.73 g.L-1;土壤容重、土壤硬度分别降低13%和24%,利于牧草根系生长,生物量变异结果显示,改良前后的草层高度和产量空间分布逐渐达到了均一化,牧草产量达到了2738.1 kg.hm-2,实现了植被全覆盖,盐碱化草原得到了恢复。     

Predicting abundance of desert riparian birds: validation and calibration of the Effective Area Model.

Reliable prediction of the effects of landscape change on species abundance is critical to land managers who must make frequent, rapid decisions with long-term consequences. However, due to inherent temporal and spatial variability in ecological systems, previous attempts to predict species abundance in novel locations and/or time frames have been largely unsuccessful. The Effective Area Model (EAM) uses change in habitat composition and geometry coupled with response of animals to habitat edges to predict change in species abundance at a landscape scale. Our research goals were to validate EAM abundance predictions in new locations and to develop a calibration framework that enables absolute abundance predictions in novel regions or time frames. For model validation, we compared the EAM to a null model excluding edge effects in terms of accurate prediction of species abundance. The EAM outperformed the null model for 83.3% of species (N=12) for which it was possible to discern a difference when considering 50 validation sites. Likewise, the EAM outperformed the null model when considering subsets of validation sites categorized on the basis of four variables (isolation, presence of water, region, and focal habitat). Additionally, we explored a framework for producing calibrated models to decrease prediction error given inherent temporal and spatial variability in abundance. We calibrated the EAM to new locations using linear regression between observed and predicted abundance with and without additional habitat covariates. We found that model adjustments for unexplained variability in time and space, as well as variability that can be explained by incorporating additional covariates, improved EAM predictions. Calibrated EAM abundance estimates with additional site-level variables explained a significant amount of variability (P < 0.05) in observed abundance for 17 of 20 species, with R2 values >25% for 12 species, >48% for six species, and >60% for four species when considering all predictive models. The calibration framework described in this paper can be used to predict absolute abundance in sites different from those in which data were collected if the target population of sites to which one would like to statistically infer is sampled in a probabilistic way.     

An integrated modeling framework for performing environmental assessments: Application to ecosystem services in the Albemarle-Pamlico basins (NC and VA, USA)

The U.S. Environmental Protection Agency uses environmental models to inform rulemaking and policy decisions at multiple spatial and temporal scales. As decision-making has moved towards integrated thinking and assessment (e.g. media, site, region, services), the increasing complexity and interdisciplinary nature of modern environmental problems has necessitated a new generation of integrated modeling technologies. Environmental modelers are now faced with the challenge of determining how data from manifold sources, types of process-based and empirical models, and hardware/software computing infrastructure can be reliably integrated and applied to protect human health and the environment.In this study, we demonstrate an Integrated Modeling Framework that allows us to predict the state of freshwater ecosystem services within and across the Albemarle-Pamlico Watershed, North Carolina and Virginia (USA). The Framework consists of three facilitating technologies: Data for Environmental Modeling automates the collection and standardization of input data; the Framework for Risk Assessment of Multimedia Environmental Systems manages the flow of information between linked models; and the Supercomputer for Model Uncertainty and Sensitivity Evaluation is a hardware and software parallel-computing interface with pre/post-processing analysis tools, including parameter estimation, uncertainty and sensitivity analysis. In this application, five environmental models are linked within the Framework to provide multimedia simulation capabilities: the Soil Water Assessment Tool predicts watershed runoff; the Watershed Mercury Model simulates mercury runoff and loading to streams; the Water quality Analysis and Simulation Program predicts water quality within the stream channel; the Habitat Suitability Index model predicts physicochemical habitat quality for individual fish species; and the Bioaccumulation and Aquatic System Simulator predicts fish growth and production, as well as exposure and bioaccumulation of toxic substances (e.g., mercury).Using this Framework, we present a baseline assessment of two freshwater ecosystem services-water quality and fisheries resources-in headwater streams throughout the Albemarle-Pamlico. A stratified random sample of 50 headwater streams is used to draw inferences about the target population of headwater streams across the region. Input data is developed for a twenty-year baseline simulation in each sampled stream using current land use and climate conditions. Monte Carlo sampling (n = 100 iterations per stream) is also used to demonstrate some of the Framework's experimental design and data analysis features. To evaluate model performance and accuracy, we compare initial (i.e., uncalibrated) model predictions (water temperature, dissolved oxygen, fish density, and methylmercury concentration within fish tissue) against empirical field data. Finally, we ‘roll-up’ the results from individual streams, to assess freshwater ecosystem services at the regional scale.