Hydraulic adjustment and pollution control measures, combining the knowledge of hydrology, biochemistry and algous ecology, are the main practices of integrated controls.

该技术以水利调节与污染制为主要手段，利用水文、生物化、藻类生态流“水华”进行综合制。

A multi-period spatial residual Cokriging model combining Stochastic Hydrology with Geomathematics,was used to analysis hydrology data with spatial and temporal random function.

本文将随机水文理论和质数理论有机结合在一起,提出了用时空随机函数观点去分析水文数据多时段空间剩余协克立格模型。

Hydraulic adjustment and pollution control measures, combining the knowledge of hydrology, biochemistry and algous ecology, are the main practices of integrated controls.

该技术以水与污染制为主手，用水文学、生物化学、藻类生态学对河流“水华”进行综合制。

A multi-period spatial residual Cokriging model combining Stochastic Hydrology with Geomathematics,was used to analysis hydrology data with spatial and temporal random function.

本文将随机水文学理论和地质数学理论有机地结合在一起,提出了用时空随机函数观点去分析水文数据的多时空间剩余协克立格模型。

Hydraulic adjustment and pollution control measures, combining the knowledge of hydrology, biochemistry and algous ecology, are the main practices of integrated controls.

该技术以利调节与污染制为主要手段，利用文学、生物化学、藻类生态学对河“”进行综合制。

A multi-period spatial residual Cokriging model combining Stochastic Hydrology with Geomathematics,was used to analysis hydrology data with spatial and temporal random function.

本文将随机文学理论和地质数学理论有机地结合在一起,提出了用时空随机函数观点去分析文数据的多时段空间剩余协克立格模型。

Hydraulic adjustment and pollution control measures, combining the knowledge of hydrology, biochemistry and algous ecology, are the main practices of integrated controls.

该技术以水利调节与污染制为主要手段，利用水文学、生物化学、藻类生态学对河流“水华”进行综制。

A multi-period spatial residual Cokriging model combining Stochastic Hydrology with Geomathematics,was used to analysis hydrology data with spatial and temporal random function.

本文将随机水文学理论和地质数学理论有机地一起,提出了用时空随机函数观点去分析水文数据的多时段空间剩余协克立格模型。

Hydraulic adjustment and pollution control measures, combining the knowledge of hydrology, biochemistry and algous ecology, are the main practices of integrated controls.

该技术以利调节与污染制为主要手段，利用文、生物化、藻类生态对河流“华”进行综合制。

A multi-period spatial residual Cokriging model combining Stochastic Hydrology with Geomathematics,was used to analysis hydrology data with spatial and temporal random function.

本文将文理论和质数理论有结合在一起,提出了用时空函数观点去分析文数据的多时段空间剩余协克立格模型。

Hydraulic adjustment and pollution control measures, combining the knowledge of hydrology, biochemistry and algous ecology, are the main practices of integrated controls.

该技术以利调节与污染制为主要手段，利用、生物化、藻类生对河流“华”进行综合制。

A multi-period spatial residual Cokriging model combining Stochastic Hydrology with Geomathematics,was used to analysis hydrology data with spatial and temporal random function.

本将随理论和地质数理论有地结合在一起,提出了用时空随函数观点去分析数据的多时段空间剩余协克立格模型。

Hydraulic adjustment and pollution control measures, combining the knowledge of hydrology, biochemistry and algous ecology, are the main practices of integrated controls.

该技术以水利调节与污染制为主要手段，利用水文学、生物化学、藻类生态学对河流“水华”进行综合制。

A multi-period spatial residual Cokriging model combining Stochastic Hydrology with Geomathematics,was used to analysis hydrology data with spatial and temporal random function.

本文将随机水文学和地质数学有机地结合在一起,提出了用时空随机函数观点去分析水文数据的多时段空间剩余协克立格模型。

Hydraulic adjustment and pollution control measures, combining the knowledge of hydrology, biochemistry and algous ecology, are the main practices of integrated controls.

该技术以水利调节与污染制为主要手段，利用水文学、学、藻类态学对河流“水华”进行综合制。

A multi-period spatial residual Cokriging model combining Stochastic Hydrology with Geomathematics,was used to analysis hydrology data with spatial and temporal random function.

本文将随机水文学理论和地质数学理论有机地结合在一起,提出了用时空随机函数观点去分析水文数据的多时段空间剩余协克立格模型。

Hydraulic adjustment and pollution control measures, combining the knowledge of hydrology, biochemistry and algous ecology, are the main practices of integrated controls.

该技术以水利调节与污染制为主要手段，利水文学、生物化学、藻类生态学对河流“水华”进行综合制。

A multi-period spatial residual Cokriging model combining Stochastic Hydrology with Geomathematics,was used to analysis hydrology data with spatial and temporal random function.

本文将随机水文学理论和地质数学理论有机地结合在一起,提时空随机函数观点去分析水文数据的多时段空间剩余协克立格模型。