Location and Regional Division of Garden Plant Cultivation centering around Inazawa City, Aichi Prefecture

The objectives of the research were to make land suitability map for sugarcane plant (Saccharum officinarum), to give recommendation of location including area for sugarcane plant cultivation and to increase sugarcane plant productivity. The research used maps overlay and Geographical Information System (GIS) which used Arch-View Spatial Analysis version 2,0 A in Remote Sensing Laboratory, Agency for the Assessment and Application of Technology (BPPT), Jakarta. The research was carried out in Tegal Regency starting from June to October 2004.The results of the research showed that the suitable, conditionally suitable, and not suitable land for sugarcane cultivation in Tegal Regency reached to a high of 20,227 ha, 144 ha, and 81,599 ha respectively. There were six most dominant kind of soil: alluvial (32,735 ha), grumosol 5,760 ha), mediteran (17,067 ha), latosol (18,595 ha), glei humus (596 ha), and regosol (22,721 ha).

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Studies on the diatom- and desmid-flora of the reclaimed paddy fields by drainage in the city of Toyohashi, Aichi Prefecture

Japanese Journal of Limnology (Rikusuigaku Zasshi) ◽

10.3739/rikusui.21.73 ◽

1960 ◽

Vol 21 (2) ◽

pp. 73-86

Author(s):

Yoshiyasu KANETSUNA

Keyword(s):

Paddy Fields ◽

Aichi Prefecture ◽

The City

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Ecological Aspects of Producing Fibrous Composite Materials for Plant Cultivation

Fibre Chemistry ◽

10.1007/s10692-021-10195-0 ◽

2021 ◽

Author(s):

A. A. Lysenko ◽

N. I. Sverdlova ◽

L. E. Vinogradova ◽

L. M. Shtyagina

Keyword(s):

Composite Materials ◽

Fibrous Composite ◽

Plant Cultivation ◽

Ecological Aspects

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Predicted Number of Pregnant Women in Aichi Prefecture, Japan: Estimation by Machine Learning Database Construction for Disaster Preparation

Disaster Medicine and Public Health Preparedness ◽

10.1017/dmp.2020.417 ◽

2021 ◽

pp. 1-9

Author(s):

Kanetoshi Hattori ◽

Ritsuko Hattori

Keyword(s):

Machine Learning ◽

Pregnant Women ◽

Disaster Preparedness ◽

Correlation Coefficients ◽

Database Construction ◽

Aichi Prefecture ◽

Cascade Correlation ◽

Correlation Learning ◽

Disaster Preparation ◽

Area Data

Abstract Aichi prefecture, Japan is predicted to be hit by Mega-earthquake. Aichi Prefectural Association of Midwives has been making efforts to improve disaster preparedness for pregnant women. This project aims to acquire area data of pregnant women for simulated studies of rescue activities. Number of women in census survey areas in Nagoya City was acquired from nationwide data of pregnant women by machine learning (Cascade-Correlation Learning Architecture). Quite high correlation coefficients between actual data and estimation data were observed. Rescue simulations have been carried out based on the data acquired by this study.

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A new hypothesis for the origin of Amazonian Dark Earths

Nature Communications ◽

10.1038/s41467-020-20184-2 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Lucas C. R. Silva ◽

Rodrigo Studart Corrêa ◽

Jamie L. Wright ◽

Barbara Bomfim ◽

Lauren Hendricks ◽

...

Keyword(s):

Indigenous Peoples ◽

Sustainable Use ◽

Mineral Elements ◽

High Fertility ◽

Natural Processes ◽

Plant Cultivation ◽

In Situ Deposition ◽

Amazonian Dark Earths ◽

Landscape Formation

AbstractAmazonian Dark Earths (ADEs) are unusually fertile soils characterised by elevated concentrations of microscopic charcoal particles, which confer their distinctive colouration. Frequent occurrences of pre-Columbian artefacts at ADE sites led to their ubiquitous classification as Anthrosols (soils of anthropic origin). However, it remains unclear how indigenous peoples created areas of high fertility in one of the most nutrient-impoverished environments on Earth. Here, we report new data from a well-studied ADE site in the Brazilian Amazon, which compel us to reconsider its anthropic origin. The amounts of phosphorus and calcium—two of the least abundant macronutrients in the region—are orders of magnitude higher in ADE profiles than in the surrounding soil. The elevated levels of phosphorus and calcium, which are often interpreted as evidence of human activity at other sites, correlate spatially with trace elements that indicate exogenous mineral sources rather than in situ deposition. Stable isotope ratios of neodymium, strontium, and radiocarbon activity of microcharcoal particles also indicate exogenous inputs from alluvial deposition of carbon and mineral elements to ADE profiles, beginning several thousands of years before the earliest evidence of soil management for plant cultivation in the region. Our data suggest that indigenous peoples harnessed natural processes of landscape formation, which led to the unique properties of ADEs, but were not responsible for their genesis. If corroborated elsewhere, this hypothesis would transform our understanding of human influence in Amazonia, opening new frontiers for the sustainable use of tropical landscapes going forward.

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