Content of Ecological Environment and Governance in our journal

Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Reference Manager ProCite BibTeX RefWorks Toggle Thumbnails Select The temporal and spatial characteristics and pollution source of agricultural non-point source pollution in Shaanxi Province MENG Xiao-jun, WANG Xin-jie, ZHU Ni, GE Guang-huan HUBEI AGRICULTURAL SCIENCES    2024, 63 (2): 224-231.   DOI: 10.14088/j.cnki.issn0439-8114.2024.02.034 Abstract （95）      PDF （4720KB）（35）       Knowledge map    Save In order to clarify the spatiotemporal characteristics, key pollution sources, pollution areas, and pollution types of the agricultural non-point source pollution in Shaanxi Province, the export coefficient method （ECM） was used to estimate the pollution load of total nitrogen （TN） and total phosphorus （TP） in 11 urban areas of Shaanxi Province from 2010 to 2019, and the equal standard pollution load method was adopted to evaluate the pollution sources. The 11 urban areas were divided into agricultural non-point source pollution types using the rapid clustering method.The results showed that from 2010 to 2019, the agricultural non-point source pollution TN and TP pollution load in Shaanxi Province showed a trend of first increasing and then decreasing. In 2019, the pollution load of TN and TP were the lowest, at 129 027.14 and 13 872.84 t, respectively;in 2019, the equal standard pollution load ratios for livestock and poultry breeding, agricultural planting, and rural life in Shaanxi Province were 20.923%, 60.130% and 18.947%, respectively;the spatial distribution of equal standard pollution load for different pollution sources TN and TP showed strong consistency. Among the 11 urban areas, the equal standard pollution load ratios for the agricultural non-point source pollution in descending order were Yulin City （16.94%）, Hanzhong City （15.42%）, Ankang City （13.06%）, Weinan City （12.93%）, Xianyang City （9.28%）, Shangluo City （8.31%）, Baoji City （8.18%）, Yan’an City （7.03%）, Xi’an City （6.89%）, Tongchuan City （1.74%）, and Yangling Demonstration Zone （0.24%）;the agricultural non-point source pollution in 11 urban areas could be divided into four types： agricultural planting pollution dominant type, agricultural planting+rural life pollution dominant type, agricultural planting+livestock and poultry breeding pollution dominant type, and mixed pollution type. Reference | Related Articles | Metrics Select Evaluation and mechanism on the importance of ecosystem service functions in Yuxi City DU Yuan-yuan, LIU Shi-xin, TAN Mei-xian, XIANG Dong-lei, CHEN Yun-chun HUBEI AGRICULTURAL SCIENCES    2024, 63 (2): 170-177,188.   DOI: 10.14088/j.cnki.issn0439-8114.2024.02.027 Abstract （88）      PDF （11963KB）（21）       Knowledge map    Save Taking Yuxi City as the research object, combined with the actual situation and data of its ecological environment, this paper evaluated the importance of ecosystem service functions in Yuxi City and explored the internal mechanism of its importance pattern formation.The results showed that the importance of ecosystem service functions in Yuxi City was mainly extremely important, with an area of 13 556.94 km2, accounting for 90.74% of the total area of Yuxi City; the distribution of general important areas was relatively small, located in the southwest of Yuxi City, mainly in Yuanjiang County;the distribution of important areas was relatively scattered, mostly in the eastern part of Yuxi City, mainly distributed in Hongta District, Jiangchuan District, Haitong County, and Chengjiang City;the extremely important areas were widely distributed, covering various counties and districts in Yuxi City, mainly distributed in Eshan County, Yimen County, Xinping County, and Huaning County;among different importance levels, the total area of cultivated land and forest land accounted for a relatively large proportion. The proportion of cultivated land area was negatively correlated with the importance level of ecosystem service functions, while the proportion of forest land area was positively correlated with the importance level of ecosystem service functions. As the importance level changed, the two showed a pattern of one declining and the other growing. Reference | Related Articles | Metrics page Page 1 of 7 Total 13 records First page Prev page Next page Last page