Water Environment Response of Marine Aquaculture Ponds to Typhoon: Characteristics Analysis

doi:10.11924/j.issn.1000-6850.casb18070116

Abstract

Abstract:

To explore the variation characteristics and key impact factors of water environment of marine aquaculture ponds during typhoon, based on the observation data of water environmental factors from 5 representative marine aquaculture ponds in Ningbo, including water temperature (T), dissolved oxygen (DO), salinity (S) and pH, we selected the heavy precipitation and non-heavy precipitation typhoons which had great influence on Ningbo from 2013 to 2017, and carried out the harmonic analysis and mathematical statistics. The results showed that: (1) the second order harmonics could reflect the variation of T, pH and DO in the aquaculture pond water, and the third order harmonics could well simulate the change of S; (2) during the critical period of typhoon impact, the proportion of short and medium-period harmonics in water environmental factors increased, and the proportion of short-period harmonics in heavy precipitation typhoon was higher than that in non-heavy precipitation typhoon; (3) on the basis of correlation analysis, by comparing the harmonic components and changes of water environment and meteorological elements, it could be concluded that the changes of T and DO were mainly affected by temperature, and heavy precipitation had significant effects on S and pH. The harmonic method can better simulate the variation characteristics of water environment factors in aquaculture ponds during typhoon, and provide a new idea for the screening of key meteorological factors of water environment.

Key words: typhoon, water environment of marine aquaculture ponds, periodic, impact factor, harmonic

CLC Number:

Yang Dong, Ding Yeyi, Huang Helou, Zhu Jiamin, Shen Zibin. Water Environment Response of Marine Aquaculture Ponds to Typhoon: Characteristics Analysis[J]. Chinese Agricultural Science Bulletin, 2020, 36(1): 82-88.

Figures/Tables 7

References 22

[1]	张永恒, 范广洲, 马清云 . 浙江省台风灾害影响评估模型[J]. 应用气象学报, 2009,20(6):772-776.
[2]	卢峰本, 黄滢, 周启强 , 等. 海水养殖的气象风险分析及预报[J]. 气象, 2006,32(11):113-117.
[3]	廖永岩, 许振煜, 吴邦臣 . 盐度和温度对红星梭子蟹存活和摄饵的影响[J]. 生态学报, 2010,30(13):3396-3405.
[4]	农成万, 张幸, 李斌喜 , 等. 钦州对虾养殖灾害性天气分析和气象服务要领[J]. 气象研究与应用, 2013,34(1):60-63.
[5]	韦蔓新, 童万平, 何本茂 , 等. 台风对工厂化虾池生态系统中COD的影响[J]. 湛江海洋大学学报, 2005,25(6):46-50.
[6]	韦蔓新, 童万平, 何本茂 , 等. 台风对工厂化虾池生态系中三氮含量的影响[J]. 水产科学, 2005,24(8):8-10.
[7]	郑善坚, 王芳 . 台风对凡纳滨对虾淡化养殖池水质的影响[J]. 水利渔业, 2007,27(1):49-50.
[8]	彭荣南, 杨杰颜, 吴乃庚 . 台风过程气象因子引发的对虾养殖场水质突变分析[J]. 广东气象, 2016,38(1):66-69.
[9]	杨逸萍, 郭卫东, 方志山 , 等. 台风暴雨对厦门港湾海水溶解无机氮、磷含量的影响[J]. 海洋科学, 2003,27(7):52-58.
[10]	杨逸萍, 郭卫东, 陈立军 , 等. 9810号台风影响期间厦门湾海水化学要素变化特征[J]. 海洋学报, 2001,23(2):132-141.
[11]	陈春华, 李巧香 . 海口湾的台风及其对海水水质的影响机制分析[J]. 海洋学报, 2002,24(2):59-65.
[12]	郭卫东, 杨逸萍, 弓振斌 , 等. 台风暴雨影响期间厦门湾海水盐度、PH、溶解氧和COD变化特征[J]. 海洋科学, 2001,25(7):1-5.
[13]	Mitra A, Banerjee K, Senggupta K . Impact of AILA, a tropical cyclone on salinity, pH and dissolved oxygen of an aquatic sub-system of Indian Sundarbans[J]. Proceedings of the National Academy of Sciences India Section B-Biological Sciences, 2011a,81:198-205.
[14]	Stevens P. W., Blewett D. A., Casey J.P . Short-term effects of a low dissolved oxygen event on estuarine fish assemblages following the passage of Hurricane Charley[J]. Estuaries and Coasts, 2006,29(6):997-1003. doi: 10.1007/BF02798661 URL
[15]	施能 . 气象统计预报[M]. 北京: 气象出版社, 2009:270-277.
[16]	刘旭颖, 关燕宁, 郭杉 , 等. 基于时间序列谐波分析的鄱阳湖湿地植被分布与水位变化响应[J]. 湖泊科学, 2016,28(1):195-206.
[17]	侯光雷, 张洪岩, 王野乔 , 等. 基于时间序列谐波分析的东北地区耕地资源提取[J]. 自然资源学报, 2010,25(9):1607-1617. doi: 10.11849/zrzyxb.2010.09.020 URL
[18]	李天来, 李曼, 韩亚东 , 等. 辽沈I型日光温室低温日变化规律及其谐波模拟验证[J]. 西北农业学报, 2010,19(10):152-160.
[19]	苏彬彬 . CO₂、CH₄浓度变化周期分析[J]. 海峡科学, 2010,6(42):69-70.
[20]	杨栋, 姚日升, 金志凤 , 等. 不同类型海水养殖水体温度日变化谐波分析[J]. 中国农业气象, 2017,38(9):558-566.
[21]	李倩, 申双和, 陶苏林 , 等. 基于谐波法的塑料大棚内气温日变化模拟[J]. 中国农业气象, 2014,35(1):33-41. doi: 10.3969/j.issn.1000-6362.2014.01.005 URL
[22]	朱佳敏, 杨栋, 郭建民 , 等. 南方双膜塑料大棚内气温的谐波模拟[J]. 中国农学通报, 2017,33(9):133-140.

水环境因子	台风类型	初期			关键期			末期
水环境因子	台风类型	1阶	2阶	3阶	1阶	2阶	3阶	1阶	2阶	3阶
T	强降水	0.69	0.85	0.90	0.66	0.82	0.86	0.77	0.90	0.93
T	非强降水	0.85	0.96	0.97	0.76	0.88	0.92	0.86	0.92	0.95
S	强降水	0.40	0.59	0.70	0.47	0.62	0.73	0.48	0.63	0.73
S	非强降水	0.63	0.77	0.83	0.59	0.72	0.80	0.59	0.74	0.81
pH	强降水	0.67	0.82	0.88	0.56	0.74	0.82	0.75	0.88	0.93
pH	非强降水	0.74	0.89	0.93	0.71	0.86	0.92	0.61	0.80	0.87
DO	强降水	0.69	0.85	0.90	0.66	0.82	0.86	0.74	0.89	0.93
DO	非强降水	0.82	0.95	0.97	0.81	0.91	0.94	0.82	0.90	0.94

水环境因子	台风类型	初期			关键期			末期
水环境因子	台风类型	1阶	2阶	3阶	1阶	2阶	3阶	1阶	2阶	3阶
T	强降水	0.69	0.85	0.90	0.66	0.82	0.86	0.77	0.90	0.93
T	非强降水	0.85	0.96	0.97	0.76	0.88	0.92	0.86	0.92	0.95
S	强降水	0.40	0.59	0.70	0.47	0.62	0.73	0.48	0.63	0.73
S	非强降水	0.63	0.77	0.83	0.59	0.72	0.80	0.59	0.74	0.81
pH	强降水	0.67	0.82	0.88	0.56	0.74	0.82	0.75	0.88	0.93
pH	非强降水	0.74	0.89	0.93	0.71	0.86	0.92	0.61	0.80	0.87
DO	强降水	0.69	0.85	0.90	0.66	0.82	0.86	0.74	0.89	0.93
DO	非强降水	0.82	0.95	0.97	0.81	0.91	0.94	0.82	0.90	0.94

影响阶段	T		pH		DO		S
影响阶段	强降水	非强降水	强降水	非强降水	强降水	非强降水	强降水	非强降水
初期	1(0.60) 2(0.24) 3(0.03)	1(0.82) 2(0.10)	1(0.64) 2(0.10) 3(0.03)	1(0.69) 2(0.11) 3(0.03)	1(0.59) 2(0.24) 3(0.03)	1(0.77) 2(0.12)	1(0.23) 2(0.14) 5(0.07) 4(0.05)	1(0.52) 2(0.14) 3(0.04)
关键期	1(0.44) 2(0.27) 3(0.10)	1(0.59) 2(0.26) 3(0.10)	1(0.56) 3(0.09) 2(0.06)	1(0.67) 2(0.13) 3(0.04)	1(0.44) 2(0.27) 3(0.11)	1(0.67) 2(0.23)	1(0.28) 10(0.16) 2+3(0.22) 4(0.05)	1(0.48) 2(0.14) 3(0.06)
末期	1(0.69) 2(0.16) 3(0.05)	1(0.79) 2+3(0.1)	1(0.75) 2(0.09) 4(0.04)	1(0.54) 2(0.25) 3(0.04)	1(0.66) 2(0.19) 3(0.04)	1(0.73) 2(0.11) 3(0.05)	1(0.37) 4(0.11) 2+12(0.14) 5+6+8(0.10)	1(0.5) 2(0.19) 3(0.07)

影响阶段	T		pH		DO		S
影响阶段	强降水	非强降水	强降水	非强降水	强降水	非强降水	强降水	非强降水
初期	1(0.60) 2(0.24) 3(0.03)	1(0.82) 2(0.10)	1(0.64) 2(0.10) 3(0.03)	1(0.69) 2(0.11) 3(0.03)	1(0.59) 2(0.24) 3(0.03)	1(0.77) 2(0.12)	1(0.23) 2(0.14) 5(0.07) 4(0.05)	1(0.52) 2(0.14) 3(0.04)
关键期	1(0.44) 2(0.27) 3(0.10)	1(0.59) 2(0.26) 3(0.10)	1(0.56) 3(0.09) 2(0.06)	1(0.67) 2(0.13) 3(0.04)	1(0.44) 2(0.27) 3(0.11)	1(0.67) 2(0.23)	1(0.28) 10(0.16) 2+3(0.22) 4(0.05)	1(0.48) 2(0.14) 3(0.06)
末期	1(0.69) 2(0.16) 3(0.05)	1(0.79) 2+3(0.1)	1(0.75) 2(0.09) 4(0.04)	1(0.54) 2(0.25) 3(0.04)	1(0.66) 2(0.19) 3(0.04)	1(0.73) 2(0.11) 3(0.05)	1(0.37) 4(0.11) 2+12(0.14) 5+6+8(0.10)	1(0.5) 2(0.19) 3(0.07)

	Ws	Ws_ex	Ta	RH	P_s	R
T	-0.04	-0.19^**	0.81^**	-0.02	-0.34^**	-0.17^**
S	0.18^**	0.20^**	-0.38^**	-0.43^**	0.26^**	0.10^*
pH	0.01	0.10^**	-0.43^**	-0.23^**	0.42^**	0.11^**
DO	0.03	0.19^**	-0.83^**	-0.34^**	0.62^**	0.16^**