Suitability evaluation model for the land reclamation of coal mines in the northern foot of tianshan mountain, Xinjiang

• Autorzy: Hao Ruihua , Zhang Zizhao , Guo Xiaoli , Huang Xuebang , Guo Zezhou , Liu Tianchao

Identyfikatory

DOI

10.24425/gsm.2022.141669

Warianty tytułu

PL

Model oceny przydatności do rekultywacji terenu kopalń węgla kamiennego w północnym podnóżu góry Tianshan, Xinjiang

• Języki publikacji: EN

Abstrakty

EN

The ecological environment is significantly vulnerable to coal-mining activities in western China due to the cold and arid climate. The evaluation of land reclamation is therefore a key process that has to be known for the sustainable use of coal resources. A Bayes discriminant analysis method to evaluate the suitability level of land reclamation for coal mine lands in cold and arid regions of western China is presented. Ten factors influencing the suitability of land reclamation were selected as discriminant indexes in the suitability analysis. The data of eighty-four land reclamation units from sixteen coal-mining areas was used as training samples to develop a discriminant analysis model to evaluate the suitability level of land reclamation. The results show that the discriminant analysis model has high precision and the misdiscriminant ratio is 0.02 in the resubstitution process. The suitability levels of land reclamation for eleven sites in two coal mine lands were evaluated by using the model and the evaluation results are identical with that of the practical situation. Our method and findings are significant for decision makers in similar regions who want to prepare for possible strategies for land reclamation in the future.

PL

Środowisko ekologiczne jest bardzo wrażliwe na działalność wydobywczą węgla w zachodnich Chinach z powodu zimnego i suchego klimatu. Ocena rekultywacji gruntów jest zatem kluczowym procesem, który powinien być znany dla zrównoważonego wykorzystania zasobów węgla. W artykule przedstawiono metodę analizy dyskryminacyjnej Bayesa do oceny stopnia jej przydatności w rekultywacji gruntów kopalni węgla w zimnych i suchych regionach zachodnich Chin. Jako wskaźniki dyskryminacyjne w analizie przydatności wybrano dziesięć czynników wpływających na przydatność rekultywacji terenu. Dane z osiemdziesięciu czterech jednostek melioracyjnych z szesnastu obszarów górniczych wykorzystano jako próbki szkoleniowe do opracowania modelu analizy dyskryminacyjnej w celu oceny stopnia przydatności do rekultywacji terenu. Wyniki pokazują, że model analizy dyskryminacyjnej jest wysoko precyzyjny, a współczynnik błędnej dyskryminacji wynosi 0,02 w procesie resubstytucji. Poziomy przydatności rekultywacji dla jedenastu miejsc na dwóch terenach kopalni węgla zostały ocenione za pomocą modelu, a wyniki oceny są identyczne jak w praktyce. Model BDA ma wysoką precyzję i może być stosowany w praktyce inżynierskiej. W porównaniu z innymi metodami predykcji model BDA ma stabilną strukturę, a proces dyskryminacyjny jest prosty i wygodny. Jest to wstępna próba zastosowania teorii analizy dyskryminacyjnej Bayesa do oceny poziomu jej przydatności w rekultywacji gruntów, w szczególności w zachodnich Chinach, dla obszarów kopalń węgla. Wypracowana metoda i wyniki są istotne dla decydentów w podobnych regionach, którzy chcą przygotować się do możliwych strategii rekultywacji gruntów w przyszłości.

Słowa kluczowe

EN

land reclamation; Bayes discriminant analysis; cold region; arid region; suitability level

PL

rekultywacja gruntów; analiza dyskryminacyjna Bayesa; region zimny; region suchy; poziom przydatności

• Wydawca: Instytut Gospodarki Surowcami Mineralnymi i Energią PAN ; Komitet Zrównoważonej Gospodarki Surowcami Mineralnymi PAN
• Czasopismo: Gospodarka Surowcami Mineralnymi
• Rocznik: 2022
• Tom: T. 38, z. 2
• Strony: 131--145
• Opis fizyczny: Bibliogr. 40 poz., rys., tab.

Twórcy

autor

Hao Ruihua

• School of Geological and Mining Engineering, Xinjiang University, Urumqi, Xinjiang, China

• https://orcid.org/0000-0001-5626-8485

autor

Zhang Zizhao

• School of Geological and Mining Engineering, Xinjiang University, Urumqi, Xinjiang, China
• State Key Laboratory for Geomechanics and Deep Underground Engineering, Xinjiang University, Urumqi, Xinjiang, China

autor

Guo Xiaoli

• Xinjiang Intelligent Check for Security Environmental Protection Technology Co., Ltd, Urumqi, Xinjiang, China

autor

Huang Xuebang

• School of Geological and Mining Engineering, Xinjiang University, Urumqi, Xinjiang, China

autor

Guo Zezhou

• School of Geological and Mining Engineering, Xinjiang University, Urumqi, Xinjiang, China

autor

Liu Tianchao

• The First Regional Geological Survey Brigade, Xinjiang Bureau of Geo-Exploration & Mineral Development, 466 North Tianjin road, Urumqi, Xinjiang, China

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