Climate moderates potential shifts in streamflow from changes in pinyon‐juniper woodland cover across the western U.S.

Pinyon‐juniper (PJ) cover has increased up to 10‐fold in many parts of the western U.S. in the last 140+ years. The impacts of these changes on streamflows are unclear and may vary depending on the intra‐annual distribution and amount of precipitation. Given the importance of streamflow in the western U.S., it is important to understand how shifts in PJ woodland cover may produce changes in streamflow across the region's diverse hydroclimates. To this end, we simulated the land surface water balance with contrasting woodland and grassland cover with the Hydrologiska Byråns Vattenbalansavdelning (HBV) model at a 4‐km resolution across the distribution of PJ woodlands in the western U.S. We used shifts in evapotranspiration (ET) between woodland and grassland cover as a proxy for potential changes in streamflows. Comparison of HBV model results with paired catchment studies indicated the model reasonably simulated annual decreases in ET with changes from woodland to grassland cover. For the northern and western ecoregions of the PJ distribution in the western U.S. where precipitation predominantly occurs in the winter, HBV simulated a 25 mm (37%) annual decrease in ET with conversion to grassland from woodland. Conversely, in southern ecoregions of PJ distribution with prominent summer monsoons, annual differences in ET were only 6 mm (19%). Our results suggest that only 29% of the PJ distribution, compared to an estimated 45% based on precipitation amount alone, has the potential for meaningful increases in streamflow with land cover change from woodland to grassland.     

Conceptual fuzzy neural network model for water quality simulation

Artificial neural networks (ANNs) have been applied successfully in various fields. However, ANN models depend on large sets of historical data, and are of limited use when only vague and uncertain information is available, which leads to difficulties in defining the model architecture and a low reliability of results. A conceptual fuzzy neural network (CFNN) is proposed and applied in a water quality model to simulate the Barra Bonita reservoir system, located in the southeast region of Brazil. The CFNN model consists of a rationally‐defined architecture based on accumulated expert knowledge about variables and processes included in the model. A genetic algorithm is used as the training method for finding the parameters of fuzzy inference and the connection weights. The proposed model may handle the uncertainties related to the system itself, model parameterization, complexity of concepts involved and scarcity and inaccuracy of data. The CFNN showed greater robustness and reliability when dealing with systems for which data are considered to be vague, uncertain or incomplete. The CFNN model structure is easier to understand and to define than other ANN‐based models. Moreover, it can help to understand the basic behaviour of the system as a whole, being a successful example of cooperation between human and machine. Copyright © 2006 John Wiley & Sons, Ltd.     

Stability of model performance and parameter values on two catchments facing changes in climatic conditions

Abstract

Hydrological models are often used for studying the hydrological effects of climate change; however, the stability of model performance and parameter values under changing climate conditions has seldom been evaluated and compared. In this study, three widely-used rainfall–runoff models, namely the SimHYD model, the HBV model and the Xin’anjiang model, are evaluated on two catchments subject to changing climate conditions. Evaluation is carried out with respect to the stability in their performance and parameter values in different calibration periods. The results show that (a) stability of model performance and parameter values depends on model structure as well as the climate of catchments, and the models with higher performance scores are more stable in changing conditions; (b) all the tested models perform better on a humid catchment than on an arid catchment; (c) parameter values are also more stable on a humid catchment than on an arid catchment; and (d) the differences in stability among models are somewhat larger in terms of model efficiency than in model parameter values.     

An evaluation of approaches for modelling hydrological processes in high‐elevation,glacierized Andean watersheds

We use two hydrological models of varying complexity to study the Juncal River Basin in the Central Andes of Chile with the aim to understand the degree of conceptualization and the spatial structure that are needed to model present and future streamflows. We use a conceptual semi‐distributed model based on elevation bands [Water Evaluation and Planning (WEAP)], frequently used for water management, and a physically oriented, fully distributed model [Topographic Kinematic Wave Approximation and Integration ETH Zurich (TOPKAPI‐ETH)] developed for research purposes mainly. We evaluate the ability of the two models to reproduce the key hydrological processes in the basin with emphasis on snow accumulation and melt, streamflow and the relationships between internal processes. Both models are capable of reproducing observed runoff and the evolution of Moderate‐resolution Imaging Spectroradiometer snow cover adequately. In spite of WEAP's simple and conceptual approach for modelling snowmelt and its lack of glacier representation and snow gravitational redistribution as well as a proper routing algorithm, this model can reproduce historical data with a similar goodness of fit as the more complex TOPKAPI‐ETH. We show that the performance of both models can be improved by using measured precipitation gradients of higher temporal resolution. In contrast to the good performance of the conceptual model for the present climate, however, we demonstrate that the simplifications in WEAP lead to error compensation, which results in different predictions in simulated melt and runoff for a potentially warmer future climate. TOPKAPI‐ETH, using a more physical representation of processes, depends less on calibration and thus is less subject to a compensation of errors through different model components. Our results show that data obtained locally in ad hoc short‐term field campaigns are needed to complement data extrapolated from long‐term records for simulating changes in the water cycle of high‐elevation catchments but that these data can only be efficiently used by a model applying a spatially distributed physical representation of hydrological processes. Copyright © 2013 John Wiley & Sons, Ltd.     

矿产资源全球治理要素理论框架构建

矿产资源全球分布不均,在全球范围内配置所需资源是各国无法回避的必然选择。矿产资源全球配置体系面临诸多跨国公共问题和挑战,需要构建一套公平、均衡、有序的矿产资源全球治理体系保障其有效运行。与经济贸易、卫生、气候、能源等已经有较为成熟的全球治理框架的领域相比,矿产资源全球治理基础理论研究较为薄弱且体系构建滞后,还缺乏综合性和权威性的框架公约或国际组织来引领和主导体系构建与完善。全球资源民族主义情绪高涨和供应链区域化、阵营化、本土化趋势等对矿产资源全球治理体系形成新的要求和挑战。基于全球治理五要素概念分析框架,本研究对矿产资源全球治理进行概念界定,剖析了矿产资源全球治理的价值、主体、客体、机制、效果等五个核心要素内涵和发展现状,并初步构建矿产资源全球治理的要素理论框架,以期为矿产资源全球治理基础理论研究提供支持,推动矿产资源全球治理体系进一步完善。     

临沂市柳航头地区地热资源特征研究

区域地质调查和地热地质勘探资料显示,临沂市柳航头地区区域构造发育较强烈,大气降水通过构造破碎带向地下深部运动,深部寒武-奥陶纪灰岩岩溶地层厚度可达1 500余米。区域地下水在深部渗透性较好的岩溶地层内径流,向柳航头地区运动过程中,不断受到地球深部热源的地温加热而形成地热水,寒武-奥陶纪岩溶地层成为热储层,其上覆地层导热率较低,是较好的盖层。结合研究区内的地热井深部测温数据和地热水化学特征数据,建立柳航头地区地热概念模型。     

阿勒泰地区夏季降水概念模型及预测模型

在相关普查及分析各因子物理意义的基础上,建立阿勒泰地区夏季降水概念模型及预测模型,结果表明：夏季500hPa高度场,若极涡偏南、偏强,欧洲到里成海、贝湖到蒙古为脊区,西西伯利亚到巴湖为槽区,西太副高西伸北挺明显,北非副高东伸以及伊朗副高北挺明显,有ElNino或LaNina现象出现,加上前期5月降水量偏多,则该地区夏季降水易偏多,反之易偏少。     

Empirical and conceptual modelling of the suspended sediment dynamics in a large tropical African river: the Upper Niger river basin

A 7-year sediment transport monitoring on the Upper Niger rivers was used to study the relationship between suspended sediment concentration and river discharge. During annual floods, these relationships show positive hysteresis. This paper presents the results of two models that estimate the time evolution of suspended sediment concentration using water discharge data only. The first model is based on a statistical approach using two relationships, one for the rising stage period of the flood and one for the recession period of the annual flood; the second model is a lumped conceptual one; it supposes that the sediment flux observed in the river comes from two different sources of sediment and that these two sources may be regarded as two different reservoirs. The erosion of the first reservoir represents hillslope erosion observed during the runoff season. Sediment supply from this ‘reservoir’ is limited in time because depletion occurs during the runoff season. The second reservoir is unlimited in time and quantity and its erosion represents contributions coming from bank erosion and mobilisation of deposits in the channel network.

Both of the models are compared with a simple rating curve based model. The model results show that the conceptual model has the highest efficiency to reproduce from weekly discharge only the time evolution of weekly suspended sediment concentrations, the time evolution of weekly sediment fluxes, and the global annual sediment yields.     

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     

中大流域水沙耦合模拟物理概念模型

根据黄河中游、北方干旱地区流域的超渗产流水文特征和冬季积雪的累积及融化机制,提出了中大流域水流模拟模型,结合黄土地区小流域坡面产沙、汇沙和沟蚀产沙、汇沙计算公式,构成了中大流域水沙耦合模拟物理概念模型。该模型较好地处理了北方干旱地区中大流域用下渗曲线计算地面径流中存在的观测资料缺乏、数据处理量太大两大难题;考虑了大流域气候、下垫面因素空间的不均匀性和雨洪径流产沙与融雪径流产沙间的差异。经流域实测资料的模拟检验表明,模型结构较合理,模拟结果较好。