A conceptual model to integrate the regional context in landscape policy,management and contribution to rural development: Literature review and European case study evidence

Agri-environmental policies and planning influence agricultural landscape management, and thus the capacity to deliver landscape services and to contribute to rural viability. Numerous models and frameworks have been developed to improve comprehension of the mechanisms and interrelationships between policies, landscape and socio-economic values and benefits. As social-ecological systems, landscapes are closely depending from the socio-institutional and territorial context of the specific rural locality. The paper proposes an enhanced framework for assessing these mechanisms by acknowledging the critical role of the regional macro-environment. A literature review and the revisiting of evidence from eight European case studies are applied to establish a comprehensive understanding and exemplification of the links between the policies, landscape, ecosystem services and value flows. Results highlight the need for integrative, inter- and transdisciplinary research approaches. Efficient landscape policies require enhanced regional embeddedness and targeting, acknowledgement of user demands and the capability of regional community and governance structures for policy implementation and natural capital valorisation.     

森林冠层影响降雪截留过程的研究进展

森林冠层对降雪的截留和冠层截留雪的蒸发/升华、散落释放、融化滴落等过程显著影响了北方森林区域的水文循环,开展森林冠层对降雪截留过程影响的研究对于季节性积雪森林区域的气候变化、森林经营、森林火灾以及植被演替具有重要的科学意义。对当前的森林冠层影响降雪截留过程的观测方法和理论机制进行了深入探讨和总结,并针对现有研究中缺乏林分尺度和水平过程的研究等问题,提出了引入遥感技术等先进的研究方法以及开展多尺度、多过程和多因素的交叉研究是今后研究中的重点方向。     

水文实验研究进展

阐述了水文实验的概念与内涵,归纳了水文实验的研究方法及其特点,系统地回顾了国内外流域水文实验的发展历程,梳理了应用实验方法进行植被截留与阻滞作用、降水径流关系、非饱和带水分运移以及气候变化和人类活动影响下的水文过程研究的进展,分析了当前水文实验发展的不足,提出未来水文实验的发展方向:传统的实验流域着重于地表水研究,没有深入水文循环系统的内部,应将水文实验的研究范围从地表扩展为关键带部分,并加强跨流域的补给、径流与排泄关系研究;多学科交叉的综合观测实验与协同研究是水文实验的发展趋势;当前水文实验的系统性与规范性仍显不足,应重视水文实验站网建设,加强水文实验的规范性,以促进实验数据交换和研究成果对比。     

TRMM卫星降水反演数据在珠江流域的适用性研究——以东江和北江为例

为评估最新一代TRMM 3B42-V7卫星降水反演数据产品在珠江流域的精度和适用性,选取位于珠江流域下游的东江和北江流域为研究区域,基于地面雨量站点数据评估了该产品的精度和适用性,并结合可变下渗容量（Variable Infiltration Capacity,VIC）水文模型进行了水文模拟验证。对比分析结果表明,在网格尺度上,大多数网格日尺度相关系数达到0.60以上,月尺度相关系数达到0.90以上,3B42-V7产品表现出较好的精度,在区域尺度上精度得到了进一步提高;水文模拟验证分两种情景下进行,情景Ⅰ的结果表明,当水文模型由地面雨量站点数据率定时,3B42-V7产品数据的水文模拟效果不佳,个别区间内存在对洪峰流量明显的低估;情景Ⅱ的结果表明,由3B42-V7产品数据重新率定水文模型时径流模拟效果有了较大改善,说明该产品可在一定程度上作为资料缺乏地区的降水数据来源。     

“水资源域”概念在美国五大湖的应用(英文)

"水资源域"为在某一时段向河口或某一地点,传送水、水中营养物、泥沙或其它物质的空间范围。这一新概念与"流域"概念既相似又不同:1)流域边界以地貌特征来确定,相对稳定。而水资源域的边界以水文事件中的水和物质传播范围来确定,随时空而变化;2)流域强调给定空间范围内水和物质的时间分布,而水资源域强调水和物质随时间和空间二者相互变化的动态分布;3)水资源域综合考虑了不同尺度的时空即时变化对水资源及物质传播的影响。这一新概念应用遥感、空间分析、追踪及模拟技术分析流域空间模式与过程,为水资源探索、分析、模拟及预测提供了一种全新的方法与途径。该文以美国伊利湖茅密河为例,应用分布式大流域模型计算了水资源域的分布。     

新疆主要河流水文极值变化趋势

水文极值是工程水文计算的基础资料,实测样本资料的变化直接影响水文设计值。基于1956-2006年的实测洪峰、洪量、年最小流量、最枯月径流量等资料,分析了各水文要素的变化及其趋势。结果表明:20世纪80年代中期以来超标准洪峰、洪量的频次增加,大多数河流洪水峰、量都呈增大变化趋势,说明新疆洪水又进入活跃期,在工程水文设计洪水计算中要应尽可能搜集和利用近期暴雨和洪水资料,在洪水系列中增加更多大洪水信息,提高设计洪水计算成果的稳定性。年最小流量和最枯月径流量是维持河流生命和河道两岸自然生态的基础流量,基流量增大有利于对生态补给、水利发电,水库蓄水,径流年内分配趋于均匀有利于水量年内调节。但在枯水径流分析计算中应充分重视不同年份最枯水量出现时间有明显推迟的迹象。     

Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan

ABSTRACT

“Panta Rhei – Everything Flows” is the science plan for the International Association of Hydrological Sciences scientific decade 2013–2023. It is founded on the need for improved understanding of the mutual, two-way interactions occurring at the interface of hydrology and society, and their role in influencing future hydrologic system change. It calls for strategic research effort focused on the delivery of coupled, socio-hydrologic models. In this paper we explore and synthesize opportunities and challenges that socio-hydrology presents for data-driven modelling. We highlight the potential for a new era of collaboration between data-driven and more physically-based modellers that should improve our ability to model and manage socio-hydrologic systems. Crucially, we approach data-driven, conceptual and physical modelling paradigms as being complementary rather than competing, positioning them along a continuum of modelling approaches that reflects the relative extent to which hypotheses and/or data are available to inform the model development process.

EDITOR D. Koutsoyiannis; ASSOCIATE EDITOR not assigned     

Uncertainty in hydrologic modelling for estimating hydrologic response due to climate change (Santiam River,Oregon)

This paper explores the predicted hydrologic responses associated with the compounded error of cascading global circulation model (GCM) uncertainty through hydrologic model uncertainty due to climate change. A coupled groundwater and surface water flow model (GSFLOW) was used within the differential evolution adaptive metropolis (DREAM) uncertainty approach and combined with eight GCMs to investigate uncertainties in hydrologic predictions for three subbasins of varying hydrogeology within the Santiam River basin in Oregon, USA. Predictions of future hydrology in the Santiam River include increases in runoff in the fall and winter months and decreases in runoff for the spring and summer months. One‐year peak flows were predicted to increase whereas 100‐year peak flows were predicted to slightly decrease. The predicted 10‐year 7‐day low flow decreased in two subbasins with little groundwater influences but increased in another subbasin with substantial groundwater influences. Uncertainty in GCMs represented the majority of uncertainty in the analysis, accounting for an average deviation from the median of 66%. The uncertainty associated with use of GSFLOW produced only an 8% increase in the overall uncertainty of predicted responses compared to GCM uncertainty. This analysis demonstrates the value and limitations of cascading uncertainty from GCM use through uncertainty in the hydrologic model, offers insight into the interpretation and use of uncertainty estimates in water resources analysis, and illustrates the need for a fully nonstationary approach with respect to calibrating hydrologic models and transferring parameters across basins and time for climate change analyses. Copyright © 2012 John Wiley & Sons, Ltd.     

The impact of subsurface conceptualization on land energy fluxes

There is a significant body of work demonstrating the importance of hydrologic control on land energy feedbacks. Yet, quantitative data on aquifer conductivity can be difficult to assemble. Furthermore, how subsurface uncertainty propagates into land-surface processes is not well understood. This study analyzes the impact of aquifer characterization on land energy fluxes, using a coupled hydrology–land-surface model. Four gridded subsurface conductivity fields are developed for the Upper Klamath basin using two data sources and different levels of imposed heterogeneity. Each model is forced with the same transient, observed meteorology for 3 years prior to the final year presented here. Results are analyzed to quantify the impact of subsurface heterogeneity on groundwater surface water interactions and spatial patterns in hydrologic variables. Analysis shows that heterogeneity does not fundamentally alter the connection between groundwater and land surface processes. However, differences between scenarios impact the extent and location of the critical zone.