Subtitle:

Książka = Book ; KS/4/2004/T37R04P02

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

[5], 81-91 pages ; 21 cm ; Bibliography p. 90-91

Type of object:

Book/Chapter

Abstract:

Calculation of the average annual rainfall erosivity factor values on the base of formerly developed artificial neural network and Modified Fournier Index method for selected gauging stations in Poland was the first aim of the research. Obtained calculation results analysis dedicated for their future use for rainfall erosivity mapping was the second complementary study aim. The research was based on the database containing average monthly precipitation totalsfor 67 gauging stations in Polandfrom years 1951-1970. Estimated by neural network average annual rainfall erosivity fac/or values for analyzed stations were at the range of 35,2 - 142, 1 1 MJ-ha· 1 ·cm H 1, and were generally /ower then calculated Modified Fournier Indexes. Average annual rainfall erosivity factor values were in linear regression to average annual precipitation totals and stations elevation above sea level. ft suggest the necessity of geostatistical algorithms like cokriging and a digital elevation model incorporation inio the future mapping of annual erosivity values in Poland.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:198602

Source:

KS-2004-04-T37R04P02

Language:

pol

Language of abstract:

pol

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open