Abstract

Abstract. In the arid inland basins of China, the long-term unregulated agricultural irrigation from surface water diversion and groundwater abstraction has caused the unsustainability of water resources and the degradation of ecosystems. This requires the integrated management of surface water (SW) and groundwater (GW) at basin scale to achieve scientific decisions which support sustainable water resource allocation in China. This study developed a novel multi-objective simulation-optimization (S-O) modeling framework. The optimization framework integrated a new epsilon multi-objective memetic algorithm (ε-MOMA) with a MODFLOW-NWT model to implement real-world decision-making for water resource management while pondering the complicated groundwater–lake–river interaction in an arid inland basin. Then the optimization technique was validated through the SW–GW management in Yanqi Basin (YB), a typical arid region with intensive agricultural irrigation in northwest China. The management model, involving the maximization of total water supply rate, groundwater storage, surface runoff inflow to the terminal lake, and the minimization of water delivery cost, was proposed to explore the trade-offs between socioeconomic and environmental factors. It is shown that the trade-off surface can be achieved in the four-dimensional objective space by optimizing spatial groundwater abstraction in the irrigation districts and surface water diversion in the river. The Pareto-optimal solutions avoid the prevalence of decision bias caused by the low-dimensional optimization formulation. Decision-makers are then able to identify their desired water management schemes with preferred objectives and achieve maximal socioeconomic and ecological benefits simultaneously. Moreover, three representative runoff scenarios in relation to climate change were specified to quantify the effect of decreasing river runoff on the water management in YB. Results show that runoff depletion would have a great negative impact on the management objectives. Therefore, the integrated SW and GW management is of critical importance for the fragile ecosystem in YB under changing climatic conditions.

Highlights

  • In arid and semi-arid inland basins, intensive irrigation for agricultural development caused the deterioration of natural ecosystems sustained by scarce water resources (Wichelns and Oster, 2006; Wu et al, 2016)

  • This study aims at developing a new Multi-objective evolutionary algorithms (MOEAs), named epsilon multi-objective memetic algorithm (ε-MOMA), which integrates the ε-dominance archive process, the auto-adaptive recombination operator, and a local search operator into the basic framework of NSGAII (Deb et al, 2002b)

  • Augmenting the total amount of water supply increases the cost of transporting water with the solutions marked in red and reduces surface runoff inflow to the lake and groundwater storage at the end of the management period

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Summary

Introduction

In arid and semi-arid inland basins, intensive irrigation for agricultural development caused the deterioration of natural ecosystems sustained by scarce water resources (Wichelns and Oster, 2006; Wu et al, 2016). In such cases, water managers are faced with choosing the optimal water supply scheme for local economic development and ecoenvironmental conservation. The pattern of water allocation in such regions incorporates groundwater (GW) abstraction from aquifer systems and surface water (SW) diversion from surface rivers (Liu et al, 2010; Wu et al, 2014). J. Song et al.: Basin-scale multi-objective simulation-optimization modeling for conjunctive use of SW

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