Results 91 to 100 of about 584,789 (249)

Reconnaissance‐Scale Methods for the Identification of Groundwater Discharge to Streams

Groundwater Monitoring &Remediation, EarlyView.
Abstract Identifying groundwater discharge locations is critical for understanding and monitoring groundwater contributions to streams in terms of water quantity and quality. Streams and rivers are under increasing strain from factors, including increased urbanization, agricultural land use, groundwater extraction, and climate change, which can alter ...
Corey M. Zanatta, Andrew J. Wiebe, David L. Rudolph   +2 more
wiley   +1 more source

Subsurface Geological Profile Interpolation Using a Fractional Kriging Method Enhanced by Random Forest Regression

Fractal and Fractional
Analyzing geological profiles is of great importance for various applications such as natural resource management, environmental assessment, and mining engineering projects.
Qile Ding, Yiren Wang, Yu Zheng, Fengyang Wang, Shudong Zhou, Donghui Pan, Yuchun Xiong, Yi Zhang   +7 more
doaj   +1 more source

Geospatial tools effectively estimate nonexceedance probabilities of daily streamflow at ungauged and intermittently gauged locations in Ohio

Journal of Hydrology: Regional Studies, 2017
Study region: The state of Ohio in the United States, a humid, continental climate. Study focus: The estimation of nonexceedance probabilities of daily streamflows as an alternative means of establishing the relative magnitudes of streamflows associated ...
William H. Farmer, G.F. Koltun
doaj   +1 more source

Computationally Efficient Ranking of Sampling Locations by Redundancy in Groundwater Monitoring Networks

Groundwater Monitoring &Remediation, EarlyView.
Abstract The long‐term and frequent sampling of groundwater monitoring networks is common practice for monitoring the concentrations of constituents of potential concern (CoPC) over space and time. Sampling can be a costly and time‐intensive process that also incurs health and safety risks. A redundancy‐based ranking of candidate sampling locations can
Peter Radvanyi, Claire Miller, Craig Alexander, Marnie Low, Luc Rock, Wayne Jones   +5 more
wiley   +1 more source

Integrating Spatial Autoregressive Exogenous with Ordinary Kriging for Improved Rainfall Prediction in Java: Enhancing Accuracy with Climate Variables and Spatial Autocorrelation

InPrime
Indonesia is a tropical country with high rainfall influenced by its archipelagic geography and phenomena like El Niño and La Niña. According to the Meteorology, Climatology, and Geophysics Agency (BMKG), La Niña can increase Indonesia's monthly ...
Sandrina Najwa, Dhanti Aurilia Pratiwi, Muhammad Rhafi Ahdian, Ayu Indriani, I Gede Nyoman Mindra, Annisa Nur Falah, Budi Nurani Ruchjana   +6 more
doaj   +1 more source

Comparation to the Methods of Interpolation with ASTER GDEM V2 Based on ICESat/GLA14 Lvliang Mountains in Shanxi Province

Chemical Engineering Transactions, 2015
ICESat/GLA14, a series of altitude points with high accuracy, it can be used for ASTER GDEM data’s accuracy correction, while the rational interpolation method is the important guarantee for the quality of ASTER GDEM data correction results.
D.C. He, L. Wang, B.L. Gao, C.W. Xu, J.J. Chen   +4 more
doaj   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Conformal prediction for functional Ordinary kriging

Functional Ordinary Kriging is the most widely used method to predict a curve at a given spatial point. However, uncertainty remains an open issue. In this article a distribution-free prediction method based on two different modulation functions and two conformity scores is proposed.
De Magistris, Anna, Diana, Andrea, Romano, Elvira   +2 more
openaire   +2 more sources

Mapping High‐Rate Clusters of Animal Contact‐Related Human Salmonella enterica Single‐State Outbreaks in the United States, 2009–2022: A Spatial Epidemiological Approach to Inform Public Health Surveillance

Zoonoses and Public Health, EarlyView.
ABSTRACT Introduction Nontyphoidal Salmonella enterica (NTS) is a major zoonotic enteric pathogen. Animal contact‐related NTS outbreaks have increased in the United States over the last decade. Geospatial analysis can identify locations with elevated risk of NTS outbreaks where public health authorities can focus their NTS prevention and intervention ...
Hammad Ur Rehman Bajwa, Suman Bhowmick, Csaba Varga   +2 more
wiley   +1 more source