Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China

Taking two typical grain producing areas of southern (Dongting Lake Region) and northern China (Shandong Province) as examples, this study used fault tree analysis and parametric estimation to provide a comparative analysis for environmental risks of intensive arable land use. The results show that...

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Autores principales: Guanyi Yin, Zhulu Lin, Xilong Jiang, Jin Sun, Menglong Qiu
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Lenguaje:EN
Publicado: Taylor & Francis Group 2020
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Acceso en línea:https://doaj.org/article/b245cfc6b44e4aba8750733f46fa0cfc
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spelling oai:doaj.org-article:b245cfc6b44e4aba8750733f46fa0cfc2021-12-02T16:43:51ZHolistic identification and assessment of environmental risks of arable land use in two grain producing areas of China2332-887810.1080/20964129.2020.1784043https://doaj.org/article/b245cfc6b44e4aba8750733f46fa0cfc2020-12-01T00:00:00Zhttp://dx.doi.org/10.1080/20964129.2020.1784043https://doaj.org/toc/2332-8878Taking two typical grain producing areas of southern (Dongting Lake Region) and northern China (Shandong Province) as examples, this study used fault tree analysis and parametric estimation to provide a comparative analysis for environmental risks of intensive arable land use. The results show that (1) in the risks of eutrophication, toxicity, soil structure, greenhouse effect and air pollution, the greenhouse effect was the most prominent with the highest discharge; (2) the Dongting Lake Region discharged less pollutants annually than did Shandong Province, while surpassing Shandong in cumulative pollutant discharge in 2007-2018; (3) the spatial distribution of environmental risk in the Dongting Lake Region was mostly concentrated in the northern area, whereas that in Shandong Province displayed a scattered pattern; (4) in the Dongting Lake Region, Yueyang, Changde, and Yiyang were high environmental risk cities in 2007-2018, whereas in Shandong Province, Zaozhuang, Heze, Liaocheng, and Dezhou exhibited higher comprehensive environmental risk indexes in 2007-2008, while Rizhao replaced them in 2018. The results indicated that ago-production material use must be controlled, reasonable zoning for areas posing environmental risks must be employed and cities with high environmental risk must be dynamically monitored to prevent the intensification of environmental risks of arable land use.Guanyi YinZhulu LinXilong JiangJin SunMenglong QiuTaylor & Francis Grouparticleenvironmental riskintensive arable land usemajor grain production areaEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 6, Iss 1 (2020)
institution DOAJ
collection DOAJ
language EN
topic environmental risk
intensive arable land use
major grain production area
Ecology
QH540-549.5
spellingShingle environmental risk
intensive arable land use
major grain production area
Ecology
QH540-549.5
Guanyi Yin
Zhulu Lin
Xilong Jiang
Jin Sun
Menglong Qiu
Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China
description Taking two typical grain producing areas of southern (Dongting Lake Region) and northern China (Shandong Province) as examples, this study used fault tree analysis and parametric estimation to provide a comparative analysis for environmental risks of intensive arable land use. The results show that (1) in the risks of eutrophication, toxicity, soil structure, greenhouse effect and air pollution, the greenhouse effect was the most prominent with the highest discharge; (2) the Dongting Lake Region discharged less pollutants annually than did Shandong Province, while surpassing Shandong in cumulative pollutant discharge in 2007-2018; (3) the spatial distribution of environmental risk in the Dongting Lake Region was mostly concentrated in the northern area, whereas that in Shandong Province displayed a scattered pattern; (4) in the Dongting Lake Region, Yueyang, Changde, and Yiyang were high environmental risk cities in 2007-2018, whereas in Shandong Province, Zaozhuang, Heze, Liaocheng, and Dezhou exhibited higher comprehensive environmental risk indexes in 2007-2008, while Rizhao replaced them in 2018. The results indicated that ago-production material use must be controlled, reasonable zoning for areas posing environmental risks must be employed and cities with high environmental risk must be dynamically monitored to prevent the intensification of environmental risks of arable land use.
format article
author Guanyi Yin
Zhulu Lin
Xilong Jiang
Jin Sun
Menglong Qiu
author_facet Guanyi Yin
Zhulu Lin
Xilong Jiang
Jin Sun
Menglong Qiu
author_sort Guanyi Yin
title Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China
title_short Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China
title_full Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China
title_fullStr Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China
title_full_unstemmed Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China
title_sort holistic identification and assessment of environmental risks of arable land use in two grain producing areas of china
publisher Taylor & Francis Group
publishDate 2020
url https://doaj.org/article/b245cfc6b44e4aba8750733f46fa0cfc
work_keys_str_mv AT guanyiyin holisticidentificationandassessmentofenvironmentalrisksofarablelanduseintwograinproducingareasofchina
AT zhululin holisticidentificationandassessmentofenvironmentalrisksofarablelanduseintwograinproducingareasofchina
AT xilongjiang holisticidentificationandassessmentofenvironmentalrisksofarablelanduseintwograinproducingareasofchina
AT jinsun holisticidentificationandassessmentofenvironmentalrisksofarablelanduseintwograinproducingareasofchina
AT menglongqiu holisticidentificationandassessmentofenvironmentalrisksofarablelanduseintwograinproducingareasofchina
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