Temporal and spatial variation and influencing factors in fishery water of Tongxiang City

doi:10.16178/j.issn.0528-9017.20230758

Abstract

Abstract:

In Tongxiang City, there are many rivers which are used for aquaculture. In order to ascertain the water quality and their main influencing factors of rivers in Tongxiang City, we applied the water quality monitoring data in 2014-2022, determined pH value, the contents of dissolved oxygen(DO), total phosphorus(TP), total nitrogen(TN), ammonia nitrogen(NH₃-N) in rivers and analyzed their temporal and spatial variation. The comprehensive pollution index method was used to evaluate the water quality. Combined with the quality of discharge water from freshwater aquaculture ponds, effects of aquaculture on water environment was discussed. Result showed that water quality of rivers in Tongxiang was generally stable from 2014 to 2022, and there was a certain degree of nitrogen and phosphorus pollution. The water quality in rivers had some seasonal and regional differences, which in northeast of Tongxiang was better than that in southwest. The evaluation result of water quality showed that there was pollution in the rivers, which was beyond the warning level. Correlation and principal component analysis showed that the water quality was mainly affected by the contents of nitrogen and phosphorus in rivers, the change of pH value and DO, and the organic contents in water, among which nitrogen and phosphorus were the main influencing factors. Quality of discharge water from freshwater aquaculture ponds up to standards, and there was no significant correlation between water quality comprehensive pollution index, aquaculture area and output of aquatic products. In conclusion, there was a certain degree of pollution risk in rivers of Tongxiang City, and discharge water from freshwater aquaculture ponds has little impact on water quality. It was suggested that the water in rivers should be pretreated for aquaculture, focusing on nitrogen and phosphorus pollution.

Key words: water in rivers, aquaculture, influencing factors, correlation, principle component analysis

CLC Number:

X524

YAO Deqiang, SUN Weijie, SUN Boyi, XU Weiguo, SHEN Tianfu, LYU Yefeng, WANG Jue, SHI Qinxuan. Temporal and spatial variation and influencing factors in fishery water of Tongxiang City[J]. Journal of Zhejiang Agricultural Sciences, 2024, 65(7): 1720-1726.

Figures/Tables 13

Table 1 Water quality grading standard

等级划定	M_i	污染程度	污染水平
1	<0.5	清洁	清洁
2	0.5~1.0	尚清洁	标准限量内
3	>1.0	污染	超出警戒水平

Fig.1 Interannual variation of water quality in rivers

Fig.2 Seasonal variation of water quality in rivers

Fig.3 Regional variation of water quality in rivers

Fig.4 Comprehensive water pollution index(Mi) in rivers from 2014 to 2022

Fig.5 Comprehensive water pollution index(Mi) in rivers of different seasons

Fig.6 Comprehensive water pollution index(Mi) in rivers of different areas

Table 2 The correlations among water environmental factors

指标	DO	NH₃-N	TP	TN	COD_Mn
pH值	0.553^**	0.080	0.072	0.025	0.037
DO		0.069	0.095	0.062	0.101
NH₃-N			0.317^*	0.433^**	-0.121^*
TP				0.341^**	-0.074
TN					0.083

Table 3 The main calculated results of principal component analysis(PCA) in this study

指标	第一主成分 PC1	第二主成分 PC2	第三主成分 PC3
特征值	1.832	1.483	1.032
方差贡献率/%	30.532	24.718	17.198
累积方差贡献率/%	30.532	55.249	72.447
pH	0.475	0.721	-0.191
DO	0.496	0.725	-0.066
NH₃-N	0.692	-0.370	-0.095
TP	0.647	-0.302	-0.046
TN	0.680	-0.364	0.338
COD_Mn	-0.012	0.280	0.930

Fig.7 Quality of discharge water from freshwater aquaculture ponds in different seasons

Fig.8 Quality of discharge water from freshwater aquaculture ponds in different areas

Fig.9 Individual pollution index of discharge water from freshwater aquaculture ponds

Table 4 The correlations among Mi, aquaculture area and output of aquatic products

指标	养殖面积	水产品产量
M_i	0.376	0.139
养殖面积		0.446

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