The Experts below are selected from a list of 55110 Experts worldwide ranked by ideXlab platform

Lu Chen - One of the best experts on this subject based on the ideXlab platform.

  • integrated optimal allocation model for Complex Adaptive System of water resources management i methodologies
    Journal of Hydrology, 2015
    Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen
    Abstract:

    Summary Due to the adaption, dynamic and multi-objective characteristics of Complex water resources System, it is a considerable challenge to manage water resources in an efficient, equitable and sustainable way. An integrated optimal allocation model is proposed for Complex Adaptive System of water resources management. The model consists of three modules: (1) an agent-based module for revealing evolution mechanism of Complex Adaptive System using agent-based, System dynamic and non-dominated sorting genetic algorithm II methods, (2) an optimal module for deriving decision set of water resources allocation using multi-objective genetic algorithm, and (3) a multi-objective evaluation module for evaluating the efficiency of the optimal module and selecting the optimal water resources allocation scheme using project pursuit method. This study has provided a theoretical framework for Adaptive allocation, dynamic allocation and multi-objective optimization for a Complex Adaptive System of water resources management.

  • integrated optimal allocation model for Complex Adaptive System of water resources management ii case study
    Journal of Hydrology, 2015
    Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen, Dong Wang
    Abstract:

    Summary Climate change, rapid economic development and increase of the human population are considered as the major triggers of increasing challenges for water resources management. This proposed integrated optimal allocation model (IOAM) for Complex Adaptive System of water resources management is applied in Dongjiang River basin located in the Guangdong Province of China. The IOAM is calibrated and validated under baseline period 2010 year and future period 2011–2030 year, respectively. The simulation results indicate that the proposed model can make a trade-off between demand and supply for sustainable development of society, economy, ecology and environment and achieve Adaptive management of water resources allocation. The optimal scheme derived by multi-objective evaluation is recommended for decision-makers in order to maximize the comprehensive benefits of water resources management.

Yanlai Zhou - One of the best experts on this subject based on the ideXlab platform.

  • integrated optimal allocation model for Complex Adaptive System of water resources management i methodologies
    Journal of Hydrology, 2015
    Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen
    Abstract:

    Summary Due to the adaption, dynamic and multi-objective characteristics of Complex water resources System, it is a considerable challenge to manage water resources in an efficient, equitable and sustainable way. An integrated optimal allocation model is proposed for Complex Adaptive System of water resources management. The model consists of three modules: (1) an agent-based module for revealing evolution mechanism of Complex Adaptive System using agent-based, System dynamic and non-dominated sorting genetic algorithm II methods, (2) an optimal module for deriving decision set of water resources allocation using multi-objective genetic algorithm, and (3) a multi-objective evaluation module for evaluating the efficiency of the optimal module and selecting the optimal water resources allocation scheme using project pursuit method. This study has provided a theoretical framework for Adaptive allocation, dynamic allocation and multi-objective optimization for a Complex Adaptive System of water resources management.

  • integrated optimal allocation model for Complex Adaptive System of water resources management ii case study
    Journal of Hydrology, 2015
    Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen, Dong Wang
    Abstract:

    Summary Climate change, rapid economic development and increase of the human population are considered as the major triggers of increasing challenges for water resources management. This proposed integrated optimal allocation model (IOAM) for Complex Adaptive System of water resources management is applied in Dongjiang River basin located in the Guangdong Province of China. The IOAM is calibrated and validated under baseline period 2010 year and future period 2011–2030 year, respectively. The simulation results indicate that the proposed model can make a trade-off between demand and supply for sustainable development of society, economy, ecology and environment and achieve Adaptive management of water resources allocation. The optimal scheme derived by multi-objective evaluation is recommended for decision-makers in order to maximize the comprehensive benefits of water resources management.

Dong Wang - One of the best experts on this subject based on the ideXlab platform.

  • integrated optimal allocation model for Complex Adaptive System of water resources management ii case study
    Journal of Hydrology, 2015
    Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen, Dong Wang
    Abstract:

    Summary Climate change, rapid economic development and increase of the human population are considered as the major triggers of increasing challenges for water resources management. This proposed integrated optimal allocation model (IOAM) for Complex Adaptive System of water resources management is applied in Dongjiang River basin located in the Guangdong Province of China. The IOAM is calibrated and validated under baseline period 2010 year and future period 2011–2030 year, respectively. The simulation results indicate that the proposed model can make a trade-off between demand and supply for sustainable development of society, economy, ecology and environment and achieve Adaptive management of water resources allocation. The optimal scheme derived by multi-objective evaluation is recommended for decision-makers in order to maximize the comprehensive benefits of water resources management.

Dedi Liu - One of the best experts on this subject based on the ideXlab platform.

  • integrated optimal allocation model for Complex Adaptive System of water resources management i methodologies
    Journal of Hydrology, 2015
    Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen
    Abstract:

    Summary Due to the adaption, dynamic and multi-objective characteristics of Complex water resources System, it is a considerable challenge to manage water resources in an efficient, equitable and sustainable way. An integrated optimal allocation model is proposed for Complex Adaptive System of water resources management. The model consists of three modules: (1) an agent-based module for revealing evolution mechanism of Complex Adaptive System using agent-based, System dynamic and non-dominated sorting genetic algorithm II methods, (2) an optimal module for deriving decision set of water resources allocation using multi-objective genetic algorithm, and (3) a multi-objective evaluation module for evaluating the efficiency of the optimal module and selecting the optimal water resources allocation scheme using project pursuit method. This study has provided a theoretical framework for Adaptive allocation, dynamic allocation and multi-objective optimization for a Complex Adaptive System of water resources management.

  • integrated optimal allocation model for Complex Adaptive System of water resources management ii case study
    Journal of Hydrology, 2015
    Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen, Dong Wang
    Abstract:

    Summary Climate change, rapid economic development and increase of the human population are considered as the major triggers of increasing challenges for water resources management. This proposed integrated optimal allocation model (IOAM) for Complex Adaptive System of water resources management is applied in Dongjiang River basin located in the Guangdong Province of China. The IOAM is calibrated and validated under baseline period 2010 year and future period 2011–2030 year, respectively. The simulation results indicate that the proposed model can make a trade-off between demand and supply for sustainable development of society, economy, ecology and environment and achieve Adaptive management of water resources allocation. The optimal scheme derived by multi-objective evaluation is recommended for decision-makers in order to maximize the comprehensive benefits of water resources management.

Shenglian Guo - One of the best experts on this subject based on the ideXlab platform.

  • integrated optimal allocation model for Complex Adaptive System of water resources management i methodologies
    Journal of Hydrology, 2015
    Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen
    Abstract:

    Summary Due to the adaption, dynamic and multi-objective characteristics of Complex water resources System, it is a considerable challenge to manage water resources in an efficient, equitable and sustainable way. An integrated optimal allocation model is proposed for Complex Adaptive System of water resources management. The model consists of three modules: (1) an agent-based module for revealing evolution mechanism of Complex Adaptive System using agent-based, System dynamic and non-dominated sorting genetic algorithm II methods, (2) an optimal module for deriving decision set of water resources allocation using multi-objective genetic algorithm, and (3) a multi-objective evaluation module for evaluating the efficiency of the optimal module and selecting the optimal water resources allocation scheme using project pursuit method. This study has provided a theoretical framework for Adaptive allocation, dynamic allocation and multi-objective optimization for a Complex Adaptive System of water resources management.

  • integrated optimal allocation model for Complex Adaptive System of water resources management ii case study
    Journal of Hydrology, 2015
    Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen, Dong Wang
    Abstract:

    Summary Climate change, rapid economic development and increase of the human population are considered as the major triggers of increasing challenges for water resources management. This proposed integrated optimal allocation model (IOAM) for Complex Adaptive System of water resources management is applied in Dongjiang River basin located in the Guangdong Province of China. The IOAM is calibrated and validated under baseline period 2010 year and future period 2011–2030 year, respectively. The simulation results indicate that the proposed model can make a trade-off between demand and supply for sustainable development of society, economy, ecology and environment and achieve Adaptive management of water resources allocation. The optimal scheme derived by multi-objective evaluation is recommended for decision-makers in order to maximize the comprehensive benefits of water resources management.