Results 111 to 120 of about 32,193 (219)
An adaptive surrogate‐assisted differential evolution framework integrates machine learning‐based surrogate modeling with selective full‐wave electromagnetic validation to accelerate antenna optimization. A CST–Python workflow combines Latin‐hypercube sampling, cross‐validated model selection, and iterative dataset refinement to guide the search toward
Muhammad Farooq +3 more
wiley +1 more source
Mapping wild vascular plant species diversity in urban areas in California using crowdsourcing data by regression kriging: Examining socioeconomic disparities. [PDF]
Li M, Masri S, Chiu CH, Sun Y, Wu J.
europepmc +1 more source
Isotopes data help to understand the GW‐SW connectivity, the recharge elevations, and evaporation in a volcanic lake basin. ABSTRACT Understanding groundwater (GW) to surface water (SW) connectivity (i.e., the exchange of water and solutes between aquifers and surface bodies) is increasingly important under changing climate conditions, where ...
L. Ramírez‐González +9 more
wiley +1 more source
Soils from the remote areas of the Amazon Rainforest in Brazil are poorly mapped due to the presence of dense forest and lack of access routes. The use of covariates derived from multispectral and radar remote sensors allows mapping large areas and has ...
Marcos B. Ceddia +3 more
doaj +1 more source
Sunshine Duration in Brazil From Meteosat (1983–2020): Climatology, Variability and Long‐Term Trends
Using nearly four decades of Meteosat satellite data (1983–2020), this study presents a country‐wide climatology of sunshine duration (SDU) in Brazil. The results reveal marked regional contrasts, dominant modes of variability, and significant long‐term trends, providing new information on the most relevant meteorological systems that influence SDU and
Maria Lívia Lins Mattos Gava +2 more
wiley +1 more source
Abstract Continental shelf sediments play a key role in the global carbon cycle through the long‐term storage of organic carbon (OC). However, outside of a few continental shelves dominated by large rivers our understanding of the mechanisms that drive the remineralization, burial and storage of OC across these sedimentary systems is underdeveloped. In
C. Smeaton +3 more
wiley +1 more source
REGIONALIZATION OF PROBABLE RAINFALL USING REGRESSION ANALYSIS AND KRIGING
地域内のいくつかの観測地点のデータから, 観測データのない地点の推定量を求める方法について検討する. 本研究では, 特に流域内任意地点の確率雨量を対象として, それを推定するのに, 回帰分析法と kriging 法を用いる. これらの方法によれば, 任意地点の確率雨量の推定値のみならず, その推定精度も得られる. 地形効果を考慮するために, 回帰分析法と kriging 法を組み合わせた方法を試みる. 野洲川流域を対象として, 上記の方法の推定精度を比較検討して, その利害得失を明らかにしている.
Kaoru TAKARA, Akio OKA
openaire +2 more sources
Abstract Quantifying decadal‐scale erosion rates in tectonically active regions is essential for assessing landscape hazards and constraining sediment budgets. A key question in Earth surface processes is how contemporary erosion measurements influenced by recent climatic extremes relate to long‐term geological rates.
Gopal Kumar +3 more
wiley +1 more source
Survey data describing land cover information such as type and diversity over several decades are scarce. Therefore, our capacity to reconstruct historical land cover using field data and archived remotely sensed data over large areas and long periods of
Amir Reza Shahtahmassebi +17 more
doaj +1 more source
Abstract Precipitation is scarce in arid regions, making water redistribution a key driver of vegetation patterns, especially for non‐zonal vegetation in oases. Nevertheless, the coupling and mutual feedback mechanism between water and vegetation distribution is complex, and it has not been fully addressed. Taking an arid region of Northwest China as a
Xing Li +11 more
wiley +1 more source

