Grid-Based Land-Use Composition and Configuration Optimization for Watershed Stormwater Management

Zhang, Ge; Guhathakurta, Subhrajit; Lee, Susannah; Moore, Amy; Yan, Liying

doi:10.1007/s11269-014-0642-y

Cited by 13 publications

(7 citation statements)

References 36 publications

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“…Arid and semi-arid regions are the most fragile terrestrial ecosystems and present increased sensitivity to climate change and human activities [4]. Changes in the water resources in headwater regions have severely threatened the sustainable development of downstream river basins [2,[5][6][7][8]; therefore, determining the variability of stream runoff has become essential to water resources management and ecosystem restoration [9,10]. Climatic factors and land use/cover changes (LUCCs) are vital driving factors that alter the hydrological cycle [11].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Meng

Huang

et al. 2016

Water

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Abstract:Since the flow variations of Aksu River are strongly influenced by climate change and human activities which threat the local ecosystem and sustainable development, it is necessary to quantify the impact degree of the driving factors. Therefore, this study aims to quantify the impacts of climate change and human activities on the variability of runoff in the Aksu River Basin. The Mann-Kendall trend test and accumulative anomaly method were used to detect the break points of the flow difference value (FDV) between the upstream and downstream flume stations. The improved slope change ratio of cumulative quantity (SCRCQ) method and the Soil and Water Assessment Tool (SWAT) model were applied to decouple the contribution of each driving factor to the FDV variations. Furthermore, a Pearson Correlation Analysis was performed to show the relationships among the driving factors and the FDV. The time series prior to the year (1988) of break point was considered as the baseline period. Based on the annual precipitation and the potential evapotranspiration (PET), the relative impacts of precipitation, PET and human activities on FDV variations as determined by the SCRCQ method were 77.35%,´0.98% and 23.63%, respectively. In addition, the SWAT model indicated that climate factors and human activities were responsible for 92.28% and 7.72% of the variability, respectively. Thus, climate change and human activities showed a similar scale of impact on FDV changes.

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Section: Introductionmentioning

confidence: 99%

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Meng

Huang

et al. 2016

Water

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“…Many investigations (Yu and Ke, 2010;Feng et al, 2013;Zhang et al, 2014Zhang et al, , 2016 have shown that the CLUE-S model, alone or integrated with other models, can achieve good simulation results for land-use changes for the small regional scale. The model is suitable for the simulation of the spatial-temporal dynamic changes of land-use on the county scale.…”

Section: Introductionmentioning

confidence: 99%

“…Previous research has not considered ecology during optimization or the increase of multiple variables based on economic and ecological efficiencies. Moreover, few studies have been conducted on the optimization of the land-use structure while combining the MOP with the CLUE-S model based on land suitability evaluations (Zhang et al, 2014(Zhang et al, , 2016.…”

Section: Introductionmentioning

confidence: 99%

Optimal Simulation of the Land-Use Structure Based on the Local Ecological Environment: the Case of Huanghua City in Hebei Province, China

Chen

Cui

Ling

et al. 2019

Rev. Bras. Ciênc. Solo

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The overuse of land has resulted in a sharp decline in ecological functions, affecting the environment as it relates to the existence and sustainable development of the whole biosphere. This work aims to evaluate the ecological and economic efficiencies of the land-use structure. A simulation model, CLUES (Conversion of Land-Use and its Effects at Small Region Extent), and an integrated model based on the MOP (Multi-Objective Program) and CLUES were applied to assess the suitability of unutilized lands in Huanghua City, China. This was to simulate the optimal structure of land-use in the research zone to avoid loss of the land ecological service functions and the decreasing values with rapid changes in the land-use structure. By the year 2020, the simulation of the single model shows that the economic efficiency is expected to increase, but the ecological efficiency will decline. Depending on the evaluation of the suitability of unutilized land and the optimization results of the integrated MOP-and CLUES based models, the ecological and economic efficiencies are expected to increase by 1.17 and 2.23 %, respectively, compared with those in 2012. In addition, the sum of the two land functions will increase for the integrated MOP-and CLUES based model by the year 2020 compared with the single model. Consequently, the ecological efficiency will significantly increase. However, the optimization solution based on the integrated MOP and CLUES model is better than the one based on the CLUES model.

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“…The CLUE-S model was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types [ 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ]. This model has been recognized as an excellent tool to simulate land-use changes.…”

Section: Introductionmentioning

confidence: 99%

Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model

Zhang

Huang

et al. 2016

IJERPH

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Understanding abandoned mine land (AML) changes during land reclamation is crucial for reusing damaged land resources and formulating sound ecological restoration policies. This study combines the linear programming (LP) model and the CLUE-S model to simulate land-use dynamics in the Mentougou District (Beijing, China) from 2007 to 2020 under three reclamation scenarios, that is, the planning scenario based on the general land-use plan in study area (scenario 1), maximal comprehensive benefits (scenario 2), and maximal ecosystem service value (scenario 3). Nine landscape-scale graph metrics were then selected to describe the landscape characteristics. The results show that the coupled model presented can simulate the dynamics of AML effectively and the spatially explicit transformations of AML were different. New cultivated land dominates in scenario 1, while construction land and forest land account for major percentages in scenarios 2 and 3, respectively. Scenario 3 has an advantage in most of the selected indices as the patches combined most closely. To conclude, reclaiming AML by transformation into more forest can reduce the variability and maintain the stability of the landscape ecological system in study area. These findings contribute to better mapping AML dynamics and providing policy support for the management of AML.

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Grid-Based Land-Use Composition and Configuration Optimization for Watershed Stormwater Management

Cited by 13 publications

References 36 publications

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Optimal Simulation of the Land-Use Structure Based on the Local Ecological Environment: the Case of Huanghua City in Hebei Province, China

Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model

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