Method for determining return period of chlorophyll a
A method for determining chlorophyll, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems that have not been reported in the field of water environment research, and achieve authentic and credible results, predict algal blooms, and strong universal application sexual effect
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2012-06-20
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention belongs to the field of environmental protection and technology development, in particular to a method for determining the return period of chlorophyll a by analyzing the correlation between chlorophyll a and environmental factors. Background technique
[0002] Eutrophication is a very serious problem in many freshwater and coastal areas of the world. For example, on July 31, 2007, NOAA reported that 64 of the 99 estuaries in the United States had moderate to severe levels of eutrophication (Bricker S. (2007). "Effects of Nutrient Enrichment In the Nation's Estuaries: A Decade of Change". NOAA Coastal Ocean Program Decision Analysis Series No. 26. National Centers for Coastal Ocean Science. Silver Spring, MD. pp. 328). In the past ten years, many shallow lakes in the world have become eutrophic due to excess nutrients. The eutrophication problem causes huge economic losses every year and limits the economic development of the region (Ce...
Examples
Embodiment Construction
[0051] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments.
[0052] 1.1 Copula function
[0053] 1.1.1 Copula function theory
[0054] Copula function method has been applied and developed by many scholars (Sklar A. (1959). "Fonctions de Repartition an Dimensions et Leurs Marges." Publishing Institute of Statistical University of Paris.8, 229-231). The core of the method is how to use Copula function to determine the dependent structure. Nelsen developed various Copula families (Neal C. (2005). "Nutrient mobility within river basins, a European perspective." J. Hydrol., 304(1-4), 477-490). Let multidimensional variable X 1 , X 2 ,...,X n , the observed value is (x 11 , x 21 ,...,x n1 ),..., (x 1n , x 2n ,...,x nN ), where N is the total number of observations and n is the total number of variables. Let F xi (x i ), i=1, 2, ..., n, for X i , i=1, 2...