Model based decision support system for land use changes and socio-economic assessments
Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrologic...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yu, Yang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of Arid Land - SP Science Press, 2012, 10(2018), 2 vom: Apr., Seite 169-182 |
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| Übergeordnetes Werk: |
volume:10 ; year:2018 ; number:2 ; month:04 ; pages:169-182 |
| Links: |
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| DOI / URN: |
10.1007/s40333-018-0091-1 |
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SPR037160141 |
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| 520 | |a Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model, water availability in semiarid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features: (1) editable land use maps to assist decision-making; (2) conjunctive use of surface and groundwater resources; (3) interactions among water, earth, ecosystem, and humans; and (4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management. | ||
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10.1007/s40333-018-0091-1 doi (DE-627)SPR037160141 (SPR)s40333-018-0091-1-e DE-627 ger DE-627 rakwb eng Yu, Yang verfasserin aut Model based decision support system for land use changes and socio-economic assessments 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model, water availability in semiarid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features: (1) editable land use maps to assist decision-making; (2) conjunctive use of surface and groundwater resources; (3) interactions among water, earth, ecosystem, and humans; and (4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management. decision support system (dpeaa)DE-He213 hydrological modeling (dpeaa)DE-He213 ecosystem services (dpeaa)DE-He213 land management (dpeaa)DE-He213 socio-economic indicator (dpeaa)DE-He213 Tarim River Basin (dpeaa)DE-He213 Chen, Xi aut Huttner, Philipp aut Hinnenthal, Marie aut Brieden, Andreas aut Sun, Lingxiao aut Disse, Markus aut Enthalten in Journal of Arid Land SP Science Press, 2012 10(2018), 2 vom: Apr., Seite 169-182 (DE-627)SPR037155849 nnns volume:10 year:2018 number:2 month:04 pages:169-182 https://dx.doi.org/10.1007/s40333-018-0091-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_22 AR 10 2018 2 04 169-182 |
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10.1007/s40333-018-0091-1 doi (DE-627)SPR037160141 (SPR)s40333-018-0091-1-e DE-627 ger DE-627 rakwb eng Yu, Yang verfasserin aut Model based decision support system for land use changes and socio-economic assessments 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model, water availability in semiarid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features: (1) editable land use maps to assist decision-making; (2) conjunctive use of surface and groundwater resources; (3) interactions among water, earth, ecosystem, and humans; and (4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management. decision support system (dpeaa)DE-He213 hydrological modeling (dpeaa)DE-He213 ecosystem services (dpeaa)DE-He213 land management (dpeaa)DE-He213 socio-economic indicator (dpeaa)DE-He213 Tarim River Basin (dpeaa)DE-He213 Chen, Xi aut Huttner, Philipp aut Hinnenthal, Marie aut Brieden, Andreas aut Sun, Lingxiao aut Disse, Markus aut Enthalten in Journal of Arid Land SP Science Press, 2012 10(2018), 2 vom: Apr., Seite 169-182 (DE-627)SPR037155849 nnns volume:10 year:2018 number:2 month:04 pages:169-182 https://dx.doi.org/10.1007/s40333-018-0091-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_22 AR 10 2018 2 04 169-182 |
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10.1007/s40333-018-0091-1 doi (DE-627)SPR037160141 (SPR)s40333-018-0091-1-e DE-627 ger DE-627 rakwb eng Yu, Yang verfasserin aut Model based decision support system for land use changes and socio-economic assessments 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model, water availability in semiarid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features: (1) editable land use maps to assist decision-making; (2) conjunctive use of surface and groundwater resources; (3) interactions among water, earth, ecosystem, and humans; and (4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management. decision support system (dpeaa)DE-He213 hydrological modeling (dpeaa)DE-He213 ecosystem services (dpeaa)DE-He213 land management (dpeaa)DE-He213 socio-economic indicator (dpeaa)DE-He213 Tarim River Basin (dpeaa)DE-He213 Chen, Xi aut Huttner, Philipp aut Hinnenthal, Marie aut Brieden, Andreas aut Sun, Lingxiao aut Disse, Markus aut Enthalten in Journal of Arid Land SP Science Press, 2012 10(2018), 2 vom: Apr., Seite 169-182 (DE-627)SPR037155849 nnns volume:10 year:2018 number:2 month:04 pages:169-182 https://dx.doi.org/10.1007/s40333-018-0091-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_22 AR 10 2018 2 04 169-182 |
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10.1007/s40333-018-0091-1 doi (DE-627)SPR037160141 (SPR)s40333-018-0091-1-e DE-627 ger DE-627 rakwb eng Yu, Yang verfasserin aut Model based decision support system for land use changes and socio-economic assessments 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model, water availability in semiarid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features: (1) editable land use maps to assist decision-making; (2) conjunctive use of surface and groundwater resources; (3) interactions among water, earth, ecosystem, and humans; and (4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management. decision support system (dpeaa)DE-He213 hydrological modeling (dpeaa)DE-He213 ecosystem services (dpeaa)DE-He213 land management (dpeaa)DE-He213 socio-economic indicator (dpeaa)DE-He213 Tarim River Basin (dpeaa)DE-He213 Chen, Xi aut Huttner, Philipp aut Hinnenthal, Marie aut Brieden, Andreas aut Sun, Lingxiao aut Disse, Markus aut Enthalten in Journal of Arid Land SP Science Press, 2012 10(2018), 2 vom: Apr., Seite 169-182 (DE-627)SPR037155849 nnns volume:10 year:2018 number:2 month:04 pages:169-182 https://dx.doi.org/10.1007/s40333-018-0091-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_22 AR 10 2018 2 04 169-182 |
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| title_full |
Model based decision support system for land use changes and socio-economic assessments |
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Yu, Yang |
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Journal of Arid Land |
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Journal of Arid Land |
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eng |
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2018 |
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Yu, Yang Chen, Xi Huttner, Philipp Hinnenthal, Marie Brieden, Andreas Sun, Lingxiao Disse, Markus |
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10 |
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Elektronische Aufsätze |
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Yu, Yang |
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10.1007/s40333-018-0091-1 |
| title_sort |
model based decision support system for land use changes and socio-economic assessments |
| title_auth |
Model based decision support system for land use changes and socio-economic assessments |
| abstract |
Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model, water availability in semiarid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features: (1) editable land use maps to assist decision-making; (2) conjunctive use of surface and groundwater resources; (3) interactions among water, earth, ecosystem, and humans; and (4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management. © Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
| abstractGer |
Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model, water availability in semiarid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features: (1) editable land use maps to assist decision-making; (2) conjunctive use of surface and groundwater resources; (3) interactions among water, earth, ecosystem, and humans; and (4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management. © Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
| abstract_unstemmed |
Abstract Hydrological models are often linked with other models in cognate sciences to understand the interactions among climate, earth, water, ecosystem, and human society. This paper presents the development and implementation of a decision support system (DSS) that links the outputs of hydrological models with real-time decision making on social-economic assessments and land use management. Discharge and glacier geometry changes were simulated with hydrological model, water availability in semiarid environments. Irrigation and ecological water were simulated by a new commercial software MIKE HYDRO. Groundwater was simulated by MODFLOW. All the outputs of theses hydrological models were taken as inputs into the DSS in three types of links: regression equations, stationary data inputs, or dynamic data inputs as the models running parallel in the simulation periods. The DSS integrates the hydrological data, geographic data, social and economic statistical data, and establishes the relationships with equations, conditional statements and fuzzy logics. The programming is realized in C++. The DSS has four remarkable features: (1) editable land use maps to assist decision-making; (2) conjunctive use of surface and groundwater resources; (3) interactions among water, earth, ecosystem, and humans; and (4) links with hydrological models. The overall goal of the DSS is to combine the outputs of scientific models, knowledge of experts, and perspectives of stakeholders, into a computer-based system, which allows sustainability impact assessment within regional planning; and to understand ecosystem services and integrate them into land and water management. © Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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Model based decision support system for land use changes and socio-economic assessments |
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https://dx.doi.org/10.1007/s40333-018-0091-1 |
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Chen, Xi Huttner, Philipp Hinnenthal, Marie Brieden, Andreas Sun, Lingxiao Disse, Markus |
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| up_date |
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