인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The ecological situation in the Central Donbas remains tense today and requires timely diagnosis of the state of ecosystems. Major causes of the tense environmental situation in Donbass are high level of industrialization (mining, metallurgical, mining and chemical industries), urbanization, agricultural technologies, landscape transformation and warfare from 2014 to the present. With all the variety of biological and chemical methods in obtaining large numerical information, the importance of mathematical approaches is of particular significance. Using the example of principal component analysis, a method for visualizing data in assessing transformed ecotopes of Donbass has been tested. An attempt has been made to reconstruct some missing data from the list of numerical characteristics. The values of probability and reliability of the data have been established. This allows to have more accurate information in monitoring and assessing the environment in the region. Principal component analysis complements the available cartographic materials, highlights the most significant processes considering general degradation of the state of Donbass ecosystems (by indicator plants Bryum argenteum Hedw., Ceratodon purpureus (Hedw.) Brid, Amblystegium subtile (Hedw.) Schimp., Centaurea diffusa Lam., Cichorium intybus L., Tripleurospermum inodorum (L.) Sch. Bip. et al.). The cause and effect relationships in the peculiarities of landscape transformation are grouped in order to further restore the integrity and functionality of the historical and geographical environment.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.