Other Civil and Environmental Engineering Commons^™

Agrochemical Indicators Of New Irrigated Graph-Meadow Soils Formed On The Iii Underfladder Terrace Of Syrdarya, J.M. Kuziev

Irrigation and Melioration

Presents material on the geographical location, geomorphological and geological structure, as well as the agrochemical state of irrigated serozem-meadow soils, common in the Mirzaabad district of the Syrdarya region. According to the data obtained on the chemical analysis of soils, the studied soils are medium- and heavily loamy in texture, where particles of coarse sand predominate (0.05-0.01%). In the arable horizon of these soils, the humus content is 1.088-1.214%, total nitrogen 0.079-0.089%, total phosphorus 0.109-0.124%, and total potassium within 1.15-1.24%, and on the basis of these data, a regularity of the underlying horizon of these soils. The degree of provision …

Effects Of Climate Data Aggregation On Regional Net Primary Production (Npp) Modelling, Matthias Kuhnert, Jagadeesh Yeluripati, Pete Smith, Holger Hoffmann, Marcel Van Oijen, Julie Constantin, Elsa Coucheney, Rene Dechow, Henrik Eckersten, Thomas Gaiser, Balász Grosz, Edwin Haas, Kurt-Christian Kersebaum, Ralf Kiese, Steffen Klatt, Elisabet Lewan, Claas Nendel, Helene Raynal, Carmen Sosa, Xenia Specka, Edmar Teixeira, Enli Wang, Lutz Weihermüller, Gang Zhao, Zhigan Zhao, Stephen Ogle, Frank Ewert

International Congress on Environmental Modelling and Software

In ecosystem modelling studies, data are often collected at a small scale but are used in models to predict ecosystem responses e.g. net primary production (NPP) at coarser scale, using data aggregation. The data aggregation causes errors that are difficult to predict, because of model complexity and our limited knowledge of the spatial heterogeneity underlying our aggregated input values. Input aggregation thus adds to the uncertainty associated with model predictions. One way of reducing uncertainty related to input aggregation error is to evaluate models at different resolutions for areas where high-resolution input data are available. The objective of this study …

Using Scenario Analysis To Investigate Uncertainty In Water Resource Management, Baihua Fu, Joseph Guillaume, Mike Asher, Tony Jakeman

International Congress on Environmental Modelling and Software

Water resource management is a challenging task due to the complexity and uncertainty of the environmental systems and challenges of addressing multiple stakeholder perspectives. A crucial issue is therefore in specifically understanding if and how we can make decisions under such deep uncertainty.

We examined this issue in a case study which estimates groundwater sustainability, farm profit and ecological outcomes of many drivers (e.g. climate change, water policy, farm practices). An integrated model was developed for this purpose. It encompasses a surface and groundwater model, water allocation rules, a farm decision and crop model and an ecology model. Scenarios were …

Climate Change And Hydrological Risks Related To Railway Infrastructure In Northern Regions, Barry A. Palynchuk Phd

Barry A. Palynchuk PhD

In this paper, the authors discuss the possible consequences of global warming on northern hydrology and their impacts on railway drainage infrastructure. How can we change actual design approaches, methods and standards to adapt, to reduce vulnerability and to improve resilience to climate change? Under current climate conditions, snow, ice and permafrost play a dominant role in the water balance in cold regions. Three areas can be distinguished: regions of continuous permafrost, regions of discontinuous permafrost and permafrost-free regions. To predict the potential climate change impacts on each region, the spatial analog and the climate variability analog approaches can be …