Spatial variability and temporal dynamics of HABs in Northeast China
Spatial variability and temporal dynamics of HABs in Northeast China
复制标题
中国东北地区赤潮病的空间变异和时间动态
DOI:
10.1016/j.ecolind.2018.03.006
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发表时间:
2018-07
影响因子:
6.9
通讯作者:
Zhao Ying
中科院分区:
文献类型:
--
作者:
Fang Chong;Song Kaishan;Li Lin;Wen Zhidan;Liu Ge;Du Jia;Shang Yingxin;Zhao Ying
The increasing severity and intensity of harmful algal blooms (HABs) are of great concern to public health and a threat to ecosystems and have become a global problem in recent decades. Most of the related studies in China have been focused on low-latitude areas, such as Lake Taihu, Chaohu, and Dianchi. However, little attention has been devoted to algal blooms in Northeast China. As a significant Chinese commodity grain production base, the non-point source pollution deteriorated along with the grain production increasing year by year. In fact, the HABs in the little researched Northeast China were exceedingly serious. From 1982 to 2016, there was a total of 271 out of 2186 feasible Landsat images found HABs. The annual total frequencies of the detected HABs increased in fluctuation from 0 in 1982 to 11 times in 2016, and the highest frequency was observed twice, in 2010 and 2014, and was 29 times in both years. The number of lakes and reservoirs detected HABs and the annual sum of normalized HABs area also increased obviously. The tendency was almost coherent with the rising temperature, reduced wind speed, and declining atmospheric pressure. The R2andp-valuebetween the annual frequency and the three meteorological indices were (0.274, <0.005), (0.553, <0.0001), and (0.073, 0.126), respectively. Besides, as anthropogenic influence indicators in this paper, we selected fertilizer application amount, industrial wastewater and municipal sewage discharge amount, land use type in 1986, 2000, and 2010. We comprehensively considered lacustrine morphologies and hydrological hydrodynamics and analyzed the driving factors of the spatiotemporal distribution pattern of HABs in Northeast China.
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影响因子:
11.4
作者:
Kun Shi;Yunlin Zhang;Hai Xu;G. Zhu;B. Qin;Changchun Huang;Xiaohan Liu;Yongqiang Zhou;Heng Lv-Heng
通讯作者:
Kun Shi;Yunlin Zhang;Hai Xu;G. Zhu;B. Qin;Changchun Huang;Xiaohan Liu;Yongqiang Zhou;Heng Lv-Heng
影响因子:
13.5
作者:
Ho, Jeff C.;Stumpf, Richard P.;Michalak, Anna M.
通讯作者:
Michalak, Anna M.
影响因子:
3.6
作者:
Hu, Chuanmin;Lee, Zhongping;Shang, Shaoling
通讯作者:
Shang, Shaoling
影响因子:
2.1
作者:
KAMYKOWSKI, D;MCCOLLUM, SA
通讯作者:
MCCOLLUM, SA
影响因子:
13.5
作者:
M. Matthews;S. Bernard;K. Winter
通讯作者:
M. Matthews;S. Bernard;K. Winter