Results 21 to 30 of about 3,428 (197)

Using Geostatistics for Spatial Analysis of Soil Moisture Content, Electrical Conductivity, and pH at Paddy Fields

open access: yesJournal of Tropical Soils, 2022
Soil is dynamic due to various internal and external processes exerted on the soil, resulting in unique soil characteristics in space in short and long distances.
Yagus Wijayanto   +3 more
doaj   +1 more source

Source apportionment of potentially toxic elements in soils using APCS/MLR, PMF and geostatistics in a typical industrial and mining city in Eastern China.

open access: yesPLoS ONE, 2020
Source apportionment of potentially toxic elements in soils is a critical step for devising soil sustainable management strategies. However, misjudgment or imprecision can occur when traditional statistical methods are applied to identify and apportion ...
Cao Jianfei   +4 more
doaj   +1 more source

Outcomes of applying a geopedologic approach to soil survey in Iran [PDF]

open access: yesDesert, 2017
The paper reviews a set of soil surveys carried out in Iran using a geopedologic approach for different surveying aims in different scales. Most of these studies have implemented a similar survey method including the following steps: delineation of ...
N. Toomanian, I. Esfandiarpour Boroujeni
doaj  

Quantitative Prediction of Braided Sandbodies Based on Probability Fusion and Multi-Point Geostatistics

open access: yesEnergies, 2023
Predicting the spatial distribution of braided fluvial facies reservoirs is of paramount significance for oil and gas exploration and development. Given that seismic materials enjoy an advantage in dense spatial sampling, many methods have been proposed ...
Qiangqiang Kang   +4 more
doaj   +1 more source

Lumber drying of pinus: Geostatistics applied to drying kilns

open access: yesMaderas: Ciencia y Tecnología, 2022
This study aimed to evaluate the spatial distribution of the air circulation speed and the final moisture content of pine lumber after kiln drying by using geostatistics. Two kilns acting on boards of 27 mm and 42 mm were evaluated.
Winicius Augusto Schaeffer   +5 more
doaj   +1 more source

Mapping Urban Air Quality from Mobile Sensors Using Spatio-Temporal Geostatistics

open access: yesSensors, 2021
With the advancement of technology and the arrival of miniaturized environmental sensors that offer greater performance, the idea of building mobile network sensing for air quality has quickly emerged to increase our knowledge of air pollution in urban ...
Yacine Mohamed Idir   +4 more
doaj   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

open access: yesFood Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob   +4 more
wiley   +1 more source

Hybrid Machine Learning–Geostatistical Modeling of Soil Quality in Saline–Sodic Soils Under Arid Agroecosystems of Northwestern Peru

open access: yesJournal of Plant Nutrition and Soil Science, EarlyView.
ABSTRACT Background Soil fertility management in mango and banana production systems in northern Peru is limited by marked spatial heterogeneity, driven by chemical imbalances, particularly salinity, alkalinity, and sodicity. Aim This study developed a spatial predictive framework to assess soil quality across the agricultural area of Morropón Province,
Sebastian Casas‐Niño   +4 more
wiley   +1 more source

Performing Spatial Variabilityof Peat Depth by Using Geostatistics

open access: yesE3S Web of Conferences, 2018
Geostatistics has been knowns as a reliable tool to explore variability in space of any measured parameter. This research aims to study how peat depth change and vary in space using geostatistics aproach.
Zuhdi Mohd.   +3 more
doaj   +1 more source

USING GEOSTATISTICS TO EVALUATE THE SPATIAL VARIABILITY OF THE ENVIRONMENTAL DEGRADATION LEVEL IN ITACURUBA (PERNAMBUCO, BRAZIL)

open access: yesRevista Brasileira de Ciências Ambientais, 2015
The detection and monitoring of environmental degradation requires both low-cost and easy-to-perform techniques. This study intended to conduct sampling and use geostatistics to predict the spatial variability of environmental degradation indicators. The
Sebastião Cavalcante de Sousa   +4 more
doaj   +1 more source

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