Spatial-temporal analysis and background value determination of molybdenum concentration in basins with high molybdenum geochemical background - A case study of the upper Yi River basin

2021 ◽  
Vol 286 ◽  
pp. 112199
Author(s):  
Liwei Yao ◽  
Yihui Liu ◽  
Ke Yang ◽  
Xi Xi ◽  
Ruiqing Niu ◽  
...  
Keyword(s):  
River Basin ◽  
Temporal Analysis ◽  
Geochemical Background ◽  
Background Value ◽  
Value Determination ◽  
Spatial Temporal Analysis ◽  
Molybdenum Concentration

scholarly journals A Spatial-Temporal Analysis of the Effects of Households’ Land-use Behaviors on Soil Available Potassium in Cropland: A Case Study from Urban Peripheral Region in Northeast China

Land ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 160
Author(s):  
Hongbin Liu ◽  
Zhanli Sun ◽  
Xiaojuan Luo ◽  
Xiuru Dong ◽  
Mengyao Wu
Keyword(s):  
Land Use ◽  
Urban Area ◽  
Northeast China ◽  
Temporal Analysis ◽  
Peripheral Region ◽  
Kriging Interpolation ◽  
Gis Tools ◽  
Data Points ◽  
Spatial Temporal Analysis

Available potassium (AVK) in the soil of cropland is one of the most important factors determining soil quality and agricultural productivity. Thus, it is crucial to understand the variation of AVK and its influencing factors for sustaining soil fertility and mitigating land degradation. Farm households are the ultimate land users, and their land-use behaviors inevitably play an important role in the variation of AVK. This paper, therefore, aims to explore the effects of households’ land-use behaviors on soil AVK from spatial and temporal perspectives. Taking an urban peripheral region in Northeast China as the study area, we firstly use geostatistics (Kriging interpolation) and GIS tools to map out the spatial AVK distributions in 1980, 2000, and 2010, based on soil sampling data points, and then assess the impacts of land-use behaviors on AVK using econometric models. The results show that, although the AVK content in the study area has a largely downward trend over the 30 years, there are distinct trends in different stages. The disparity of trends can be attributed to the changes in households’ land-use behaviors over time. The spatial variation of AVK is also substantial and intriguing: the closer to the urban area, the greater the decline of soil AVK content, while the farther away from the urban area, the greater the rise of soil AVK content. This spatial disparity can too be largely explained by the obvious differences in households’ land-use behaviors in various regions.

Determination of geochemical background values on a tropical estuarine system in a densely urban area. Case study: Capibaribe estuary, Northeastern Brazil

2017 ◽  
Vol 123 (1-2) ◽  
pp. 381-386 ◽  
Author(s):  
Diego de Arruda Xavier ◽  
Carlos Augusto Schettini ◽  
Elvis Joacir França ◽  
Rubens César Figueira ◽  
Roberto Lima Barcellos
Keyword(s):  
Urban Area ◽  
Northeastern Brazil ◽  
Estuarine System ◽  
Geochemical Background ◽  
Background Values ◽  
Tropical Estuarine

scholarly journals Spatio-Temporal Determination of Irrigated Paddy Rice Pixels Using Evapotranspiration and Vegetation Indices: A Case Study for Ca River Basin in Vietnam

2020 ◽  
Vol 08 (12) ◽  
pp. 94-107
Author(s):  
Chung N. Luong ◽  
Lan T. Ha ◽  
Thanh C. Pham ◽  
Hung X. Dinh ◽  
Thanh T. Hoang ◽  
...  
Keyword(s):  
River Basin ◽  
Vegetation Indices ◽  
Paddy Rice ◽  
Spatio Temporal ◽  
Ca River

scholarly journals Prospective Spatial-Temporal Clusters of COVID-19 in Local Communities: Case Study of Kansas City, Missouri, United States

2021 ◽  
Author(s):  
Hadeel AlQadi
Keyword(s):  
United States ◽  
Kansas City ◽  
Temporal Analysis ◽  
The United States ◽  
Local Health ◽  
Test Results ◽  
Large Numbers ◽  
Spatio Temporal ◽  
Spatial Temporal Analysis

Just in the United States (U.S.), the COVID-19 cases reached over 37 million as of August 2021. Kansas City in Missouri State has become one of the major U.S. hot spots for COVID-19 due to an increase in the rate of positive COVID-19 test results. Despite the large numbers of COVID-19 cases in Kansas City, the Spatio-temporal analysis of data has been less investigated. In this study, we conducted a prospective Poisson spatial-temporal analysis of Kansas City, MO, COVID-19 data at the zip code level. The analysis focused on daily COVID-19 cases in four equal periods of three months. We detected temporal patterns of emerging and reemerging space-time clusters between March 2020 and February 202. The statistical results were communicated with local health officials and provided the necessary guidance for decision-making and the allocation of resources.

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