Yasunori Kamii

Kōchi University

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Kunihide Chikamori

Kōchi University

Madan K. Jha

Indian Institute of Technology Kharagpur

K. Jayalekshmi

Indian Institute of Technology Kharagpur

Yasumasa YAMASAKI

Indian Institute of Technology Kharagpur

Osamu Miyawaki

Climate and Global Dynamics Laboratory

Deldan Namgial

Indian Institute of Technology Kharagpur

Deepesh Machiwal

Central Arid Zone Research Institute

Stefan Peiffer

University of Bayreuth

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Indian Institute of Technology Kharagpur

Kōchi University

Climate and Global Dynamics Laboratory

NSF National Center for Atmospheric Research

Union College

University of Chicago

Panasonic (Japan)

James Cook University Hospital

Directorate of Health and Family Welfare Government of Chhattisgarh

South Tees Hospitals NHS Foundation Trust

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Statistical Analysis of Precipitation in Drought Period

Journal of Rainwater Catchment Systems (2001)

Yasunori Kamii Osamu Miyawaki Kunihide Chikamori

Yearly and monthly probabilistic precipitations at 53 observatories in Japan are analized by cluster analysis. The yearly and monthly data analysed are of the stations which have data for more than 98 years. They are placed in ascending order and converted to probablistic precipitations by Weibll plotting position, i. e., the return period T is calculated by the formula ; T = i/(N + 1) (i : order number of the data arranged in ascending magnitude, N : number of data(years)). Firstly, six different clustering methodologies, namely, nearest neighbor method, furthest neighbor method, group average method, centroid method, median method and Ward method are applied to yearly probabilistic precipitation. Among these six methods, the nearest neighbor method gives a different dendrogram from others and among the rest, the furthest neighbor method seems to give a reasonable result from the point of view of ascending order magnitude of the clusters. By applying this method, it is found that the clustered districts do not coincide with such stereotyped geographical or meteorological districts as Hokkaido, Tohoku, Kanto, Hokuriku, Chubu, Tokai, Kinki, Chugoku, Shikoku, or Sanin, Setouchi, Nankai and Kyushu. Secondly, monthly probabilistic precipitations are analized by this method. The characteristics of precipitation, obtained from these cluster analyses, seem to provide useful information for rainfall utilization purposes.

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10.7132/jrcsa.kj00003257878

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Water Resources Management (1999)

Madan K. Jha Kunihide Chikamori Yasunori Kamii Yasumasa YAMASAKI

Phreatic

Depression-focused recharge

Infiltration (HVAC)

Groundwater discharge

10.1023/a:1008184010262

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