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.

本文将随水文学理论和质数学理论有合在一起,提出了用时空随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、生物化、藻类生态对河流“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.

本文将水文论和质数论有结合在一起,提出了用时函数观点去分析水文数据的多时段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、生化、生态对河流“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.

本文将随机水文理论和地质数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.

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

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质数学理论有机在一起,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、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.

本文将随水文学理论和质数学理论有合在一起,提出了用时空随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、化学、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.

该技术以利调节与污染制为主要手段，利用学、生物化学、藻类生态学对河流“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.

本将随机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.

技术以水利调节与污染制为主要手段，利用水文、化、藻类态对河流“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.

本文将随机水文理论和地质数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。