Using sediment tracing to assess processes and spatial patterns of erosion in grazed rangelands, Burdekin River basin, Australia

2013 ◽  
Vol 180 ◽  
pp. 90-102 ◽  
Author(s):  
Scott N. Wilkinson ◽  
Gary J. Hancock ◽  
Rebecca Bartley ◽  
Aaron A. Hawdon ◽  
Rex J. Keen
Keyword(s):  
River Basin ◽  
Spatial Patterns ◽  
Sediment Tracing

Effects of Spatial Patterns of Precipitation on the Hydrologic Response. An Evaluation with Observed Data in a Tropical River Basin for Hydropower Purposes

2019 ◽  
Author(s):  
BLANCA A BOTERO ◽  
J.C. PARRA ◽  
JUAN JOSÉ OCAMPO ◽  
CAMILO CHALÁN ◽  
ESTEFANÍA LOPERA ◽  
...  
Keyword(s):  
River Basin ◽  
Spatial Patterns ◽  
Hydrologic Response ◽  
Tropical River

Spatial Patterns of Water Quality in the Cuiabá River Basin, Central Brazil

2006 ◽  
Vol 123 (1-3) ◽  
pp. 41-62 ◽  
Author(s):  
Peter Zeilhofer ◽  
Eliana Beatriz Nunes Rondon Lima ◽  
Gilson Alberto Rosa Lima
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Spatial Patterns ◽  
Central Brazil

scholarly journals Spatial patterns of water quality impairments from point source nutrient loads in Germany's largest national River Basin (Weser River)

2019 ◽  
Vol 697 ◽  
pp. 134145 ◽  
Author(s):  
Soohyun Yang ◽  
Olaf Büttner ◽  
Rohini Kumar ◽  
Christoph Jäger ◽  
James W. Jawitz ◽  
...  
Keyword(s):  
Water Quality ◽  
Point Source ◽  
River Basin ◽  
Spatial Patterns ◽  
Nutrient Loads

Projecting Spatial Patterns of Flood Hazard: Recent Climate and Future Changes over Yangtze River Basin

2010 ◽  
Vol 8 (3) ◽  
pp. 83-88
Author(s):  
He Shanfeng ◽  
Ge Quansheng ◽  
Wu Shaohong ◽  
Dai Erfu ◽  
Shi Chunjian ◽  
...  
Keyword(s):  
River Basin ◽  
Spatial Patterns ◽  
Yangtze River ◽  
Flood Hazard ◽  
Yangtze River Basin ◽  
Recent Climate

scholarly journals Análise Preliminar dos Padrões Espaciais da Distribuição da Precipitação Sobre a América do Sul (Preliminary Analysis the Spatial Patterns of Precipitation Distribution over South America)

2012 ◽  
Vol 5 (1) ◽  
pp. 207
Author(s):  
Éder Leandro Bayer Maier ◽  
Jefferson Cardia Simões
Keyword(s):  
South America ◽  
River Basin ◽  
Spatial Patterns ◽  
Preliminary Analysis ◽  
Principal Component ◽  
Precipitation Distribution ◽  
Madeira River ◽  
Madeira River Basin ◽  
Monsoon Dynamics ◽  
Rio Madeira

A climatologia da América do Sul (AS) é diretamente influenciada pela dinâmica monsônica, a qual pode transportar umidade da região equatorial até a foz do rio da Prata influenciando diretamente na taxa de precipitação da bacia hidrografia do Rio Madeira, Andes Centrais e Sul do Brasil. Amostras oriundas do testemunho de gelo no nevado Illimani (cordilheira do Andes) e das precipitações coletadas na bacia do rio Madeira foram submetidas à análises de isótopos estáveis a fim de monitorar a variabilidade da circulação monsônica e sua relação com o clima da AS. Neste sentido, este estudo tem como objetivo identificar padrões espaciais da precipitação a fim de auxiliar na compreensão da variabilidade das razões isotópicas das amostras. Para tanto, foi utilizado dados diários da precipitação do modelo de reanálise II (NCEP/NCAR) do período entre 1979 a 2010. Como técnica estatística, utilizou-se a Análise das Componentes Principais (ACP), que gerou modelos espaciais dos campos de precipitação. Sendo que esses modelos representam uma pequena porcentagem da variância. Estima-se que essa baixa representatividade dos modelos possui origem nas diferenças entre a formação caótica da precipitação e a linearidade do tratamento estatístico. Para finalizar, propõe-se que se realize a ACP em uma área menor, que abrange o nevado Illimani e a bacia hidrográfica do rio Madeira com médias mensais, bem como, efetue uma análise de clusters. Palavras-chave: dinâmica monsônica, precipitação, ACP   Preliminary Analysis the Spatial Patterns of Precipitation Distribution over South America  ABSTRACT   The South America (SA) climatology is directly influenced by monsoon dynamics and which can carry moisture from the equatorial region to La Plata river basin, influencing the precipitation on Madeira river area, Nevado Illimani and southern Brazil region. Samples recovered from an ice core in Nevado Illimani (Andes) and from precipitation collected on the Madeira river basin were subjected to analysis of stable isotopes, to monitor the variability of circulation monsoon and their relations with SA climate. This study aims to identify patterns of spatial distribution in precipitation that can be used to better understand variations in the sample isotopic ratios. For this, we used rainfall data from the model reanalysis II, spanning the period between 1979 – 2010. As statistical technique, we applied the Principal Component Analysis (ACP) to generate spatial models of precipitation fields. These models are representative of an low percentage of total variance. These inconsistencies between model and precipitation may have their origins in the chaotic formation of precipitation and in the linearity of analysis statistic. For finalize, we proposed to perform ACP in a smaller area and with monthly mean, which covers Nevado Illimani and Madeira river basin, as well as the cluster analysis. Keywords: monsoon dynamics, precipitation, PCA. 

scholarly journals Spatial patterns of water quality in Xingu River Basin (Amazonia) prior to the Belo Monte dam impoundment

2015 ◽  
Vol 75 (3 suppl 1) ◽  
pp. 34-46 ◽  
Author(s):  
JL. Rodrigues-Filho ◽  
DS. Abe ◽  
P. Gatti-Junior ◽  
GR. Medeiros ◽  
RM. Degani ◽  
...  
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Spatial Patterns ◽  
Amazon Basin ◽  
Environmental Changes ◽  
Anthropogenic Activities ◽  
Data Sampling ◽  
Anthropogenic Pressures ◽  
Xingu River ◽  
Belo Monte

Abstract The Xingu River, one of the most important of the Amazon Basin, is characterized by clear and transparent waters that drain a 509.685 km2 watershed with distinct hydrological and ecological conditions and anthropogenic pressures along its course. As in other basins of the Amazon system, studies in the Xingu are scarce. Furthermore, the eminent construction of the Belo Monte for hydropower production, which will alter the environmental conditions in the basin in its lower middle portion, denotes high importance of studies that generate relevant information that may subsidize a more balanced and equitable development in the Amazon region. Thus, the aim of this study was to analyze the water quality in the Xingu River and its tributaries focusing on spatial patterns by the use of multivariate statistical techniques, identifying which water quality parameters were more important for the environmental changes in the watershed. Data sampling were carried out during two complete hydrological cycles in twenty-five sampling stations. The data of twenty seven variables were analyzed by Spearman's correlation coefficients, cluster analysis (CA), and principal component analysis (PCA). The results showed a high auto-correlation between variables (> 0.7). These variables were removed from multivariate analyzes because they provided redundant information about the environment. The CA resulted in the formation of six clusters, which were clearly observed in the PCA and were characterized by different water quality. The statistical results allowed to identify a high spatial variation in the water quality, which were related to specific features of the environment, different uses, influences of anthropogenic activities and geochemical characteristics of the drained basins. It was also demonstrated that most of the sampling stations in the Xingu River basin showed good water quality, due to the absence of local impacts and high power of depuration of the river itself.

scholarly journals Spatio-temporal changes in evapotranspiration over China using GLEAM_V3.0a products (1980–2014)

2018 ◽  
Vol 49 (5) ◽  
pp. 1330-1348 ◽  
Author(s):  
Xiuqin Yang ◽  
Bin Yong ◽  
Yixing Yin ◽  
Yuqing Zhang
Keyword(s):  
River Basin ◽  
Spatial Patterns ◽  
Seasonal Variations ◽  
Annual Variation ◽  
Southern China ◽  
Global Land ◽  
Southwest Region ◽  
The Mean ◽  
Spatio Temporal ◽  
The Impact

Abstract This study used land evapotranspiration (ET) values from 61 ChinaFLUX eddy covariance (EC) sites and water-balanced derived ET in ten basins to investigate the performance of Global Land Evaporation Amsterdam Model (GLEAM) V3.0a ET estimates (i.e., ETG) over China. We quantified the spatio-temporal characteristics of ETG and the impact of precipitation (P) and potential ET (ETP) on ETG. ETG was appropriate for estimating daily, seasonal, and annual ET rates. The mean annual ETG increased progressively from the northwest to southeast of China. Domain-averaged annual ETG over China was 421.90 mm year−1 during 1980 to 2014. The spatial patterns of ETG were in accordance with those of annual precipitation. Low ETG values occurred in the Northwest River Basin, and relatively high ET values were found across southern China. ETG showed the highest annual variation in the Northwest River Basin and low variation in the southwest region, which captured seasonal variations with maxima in summer and minima in winter. The inter-annual variation of annual ETG and ETP differed significantly from 1980 to 2014, yielding prominent spatial variability around −16.50 to 9.10 mm year−2 and −1.90 to 4.70 mm year−2, respectively. Annual ETG is correlated well with P and ETP at each site.

Dynamics and changes in spatial patterns of land use in Yellow River Basin, China

2010 ◽  
Vol 27 (2) ◽  
pp. 313-323 ◽  
Author(s):  
Si-Yuan Wang ◽  
Jing-Shi Liu ◽  
Teng-Bo Ma
Keyword(s):  
Land Use ◽  
River Basin ◽  
Spatial Patterns ◽  
Yellow River ◽  
Yellow River Basin
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