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Majid Javari
With rainfall changes, hydrological process variability increases. This study predicts the potential effects of temperature and topography characteristics on rainfall spatial variability. Temperature and topography were considered as two effective factor...
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Baohua Wei and Lei Zhu
Bike sharing offers a usable form of feeder transportation for connecting to public transportation and effectively meets unmet travel demands, alleviating the pressure on public transportation systems by diverting urban commuters. To advance the comprehe...
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Hone-Jay Chu, Bo-Cheng Lin, Ming-Run Yu and Ta-Chien Chan
Outbreaks of infectious diseases or multi-casualty incidents have the potential to generate a large number of patients. It is a challenge for the healthcare system when demand for care suddenly surges. Traditionally, valuation of heath care spatial acces...
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Yawu Noumonvi Sena, Karem Chokmani, Erwan Gloaguen and Monique Bernier
In Eastern Canada, the snow survey network is highly optimized at the operational scale. However, it is commonly accepted that the network is limited when it comes to studying the spatial variability of the snow water equivalent (SWE), which forms differ...
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Beata Ferencz, Magdalena Toporowska and Jaroslaw Dawidek
Due to global warming and increasing water eutrophication, understanding in-lake relationships is paramount to prevent excessive pollution and further negative changes in lakes. The physico-chemical and biological parameters, as well as nutrient variabil...
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Abdelkrim Lachgar, David J. Mulla and Viacheslav Adamchuk
One of the challenges in site-specific phosphorus (P) management is the substantial spatial variability in plant available P across fields. To overcome this barrier, emerging sensing, data fusion, and spatial predictive modeling approaches are needed to ...
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Agnieszka Wolna-Maruwka, Aleksandra Grzyb, Remigiusz Lukowiak, Jakub Ceglarek, Alicja Niewiadomska and Dariusz Kayzer
Understanding the spatial?temporal variability of soil enzymatic activity and its relationship with nitrogen (N) resources in the soil and crop yield is crucial in rational management practices of mineral fertilization. The scarcity of comprehensive stud...
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Xiang Fang, Zhen Liu, Jing Li, Jianbin Lai, Huarui Gong, Zhigang Sun, Zhu Ouyang, Wenjun Dou and Keyu Fa
Salt patches (SPs) with surface salt accumulation pose a serious threat to agriculture in coastal saline lands. However, the migration and distribution of soil water and salt in SPs remain unclear due to complex water?salt transport dynamics. In this stu...
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Sung-Eun Cho
The maintenance of water-retaining structures involves evaluating their performance against current and future operating water levels. Fragility curves are commonly used for this purpose, as they indicate the conditional probability of failure for variou...
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Hao Zou, Jing-Sen Cai, E-Chuan Yan, Rui-Xuan Tang, Lin Jia and Kun Song
Due to the spatial variability of hydraulic properties, probabilistic slope seepage analysis becomes necessary. This study conducts a probabilistic analysis of slope seepage under rainfall, considering the spatial variability of saturated hydraulic condu...
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Apollon Bournas and Evangelos Baltas
In weather radar applications, the Z-R relationship is considered one of the most crucial factors for providing quality quantitative precipitation estimates. However, the relationship?s parameters vary in time and space, making the derivation of an optim...
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Adam Hamrouni, Daniel Dias and Xiangfeng Guo
Spatial variability is unavoidable for soils and it is important to consider such a feature in the design of geotechnical engineering as it may lead to some structure behaviors which cannot be predicted by a calculation assuming homogenous soils. This pa...
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George Kargas, Paraskevi A. Londra and Kyriaki Sotirakoglou
Saturated hydraulic conductivity (Ks) of soil, especially of the upper soil layer, is a basic parameter for modeling water infiltration and solute transport in the soil. In the present study, spatial and temporal variability of Ks in the upper soil layer...
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Lars Chresten Lund-Hansen, Clara Marie Petersen, Dorte Haubjerg Søgaard and Brian Keith Sorrell
Small-scale variation in the physical and biological properties of sea ice was examined by collecting nine sea ice cores within 1 m2 in a land-fast first-year ice in southwest Greenland in late winter. Cores were sectioned in four segments and sea ice ph...
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Clara Hohmann, Gottfried Kirchengast, Sungmin O, Wolfgang Rieger and Ulrich Foelsche
Precipitation is the most important input to hydrological models, and its spatial variability can strongly influence modeled runoff. The highly dense station network WegenerNet (0.5 stations per km2) in southeastern Austria offers the opportunity to stud...
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Shaohe Zhang, Yuehua Li, Jingze Li and Leilei Liu
It is widely recognized that different geological formations often vary differently in space. Therefore, soil properties from different layers should be modeled by different autocorrelation functions (ACFs) to reflect such soil heterogeneity. However, th...
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Elzbieta M. Bitner-Gregersen, Odin Gramstad, Anne Karin Magnusson and Mika Malila
Wave description is affected by several uncertainties, with sampling variability due to limited number of observations being one of them. Ideally, temporal/spatial wave registrations should be as large as possible to eliminate this uncertainty. This is d...
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Bellie Sivakumar, Fitsum M. Woldemeskel, Rajendran Vignesh and Vinayakam Jothiprakash
Rainfall data at fine spatial resolutions are often required for various studies in hydrology and water resources. However, such data are not widely available, as their collection is normally expensive and time-consuming. A common practice to obtain fine...
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Yajun Li, Cheng Qian, Zhongzhi Fu and Zhuo Li
The random finite element method has been increasingly used in the geotechnical community to investigate the influence of soil spatial variability and to bridge the gap between a traditional design and a reliability-based design. There are two approaches...
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Jacob B. Herridge, Konstantinos Tsiminis, Jonas Winzen, Arya Assadi-Langroudi, Michael McHugh, Soheil Ghadr and Sohrab Donyavi
Uncertainty in ground datasets often stems from spatial variability of soil parameters and changing groundwater regimes. In urban settings and where engineering ground interventions need to have minimum and well-anticipated ground movements, uncertainty ...
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