Allocation Of Agricultural Water Resources Research Articles

Trade-Off and Synergy Mechanism of Agricultural Water Resource Spatial Allocation in Monsoon Climate Areas Based on Machine Learning: A Case Study of Reservoir Layout Optimization in Shandong Province, China

Influenced by increasing global extreme weather and the uneven spatiotemporal distribution of water resources in monsoon climate areas, the balance of agricultural water resources supply and demand currently faces significant challenges. Conducting research on the spatial allocation trade-offs and synergistic mechanisms of agricultural water resources in monsoon climate areas is extremely important. This study takes the spatial layout of reservoir site selection in water conservancy projects as an example, focusing on Shandong Province as the research area. During the site selection process, the concept of water resource demand is introduced, and the suitability of reservoir siting is integrated. It clarifies ten influencing factors for suitability degree and five influencing factors for demand. A bi-objective optimization model that includes suitability degree and demand degree is established. Utilizing machine learning methods such as the GA_BP neural network model and the GA-bi-objective optimization model to balance and coordinate the supply and demand relationship of agricultural water resources in the monsoon region. The study found that: (1) in the prediction of suitability degree, the influencing factors are most strongly correlated with the regulatory storage capacity (regulatory storage capacity > total storage capacity > regulating storage coefficient); (2) compared with single-objective optimization of suitability degree, the difference between water supply and demand can be reduced by 74.3% after bi-objective optimization; (3) according to the spatial layout optimization analysis, the utilization of water resources in the central and western parts of Shandong Province is not sufficient, and the construction of agricultural reservoirs should be carried out in a targeted manner. This study provides new ideas for promoting the efficient use of water resources in monsoon climate zones and the coordinated development of humans and nature, reflecting the importance of supply and demand balance in the spatial allocation of agricultural water resources, reducing the risk of agricultural production being affected by droughts and floods.

Different policies constrained agricultural non-point pollutants emission trading management for water system under interval, fuzzy, and stochastic information

Formulating suitable policies is essential for resources and environmental management. In this study, an agricultural pollutants emission trading management model driven by water resources and pollutants control is developed to search reasonable policies for agricultural water resources allocation under multiple uncertainties. Random-fuzzy and interval information in water resources system that have directly impact on the effectiveness of management schemes is reflected through interval two-stage stochastic fuzzy-probability programming. The model was root from regional agricultural water resources system in Jining City, China under considering the relationship among effective precipitation, crop water demand, and pollutants emission. Two types policies (water consumption-control and pollutants emission-control) are designed for searching the related interaction on water resources management and water quality improvement. The results indicated that water resources policies would be of water and environmental double benefits, and a large rainfall would reduce irrigation amount from water sources and lead to a larger pollutants emission trading. The results will help for defining scientific and effective water resources protection and management policies and analyzing the related interacted effects on water consumption, pollutants control and system benefit.

Evaluation of Agricultural Water Resources Allocation Efficiency and Its Influencing Factors in the Yellow River Basin

Improving the agricultural water resources allocation efficiency (AWRAE) and promoting the efficient and intensive utilization of agricultural water resources and high-quality development is an effective path to alleviate the water scarcity in one basin. In this study, the AWRAE and its influencing factors were measured and evaluated by constructing the evaluation system of the AWRAE in nine provinces (autonomous regions) of the Yellow River Basin, which consists of the super-efficiency slacks-based model (SBM), standard deviation ellipse (SDE), spatial autocorrelation analysis, Malmquist index and Tobit regression model. The results show that the value of AWRAE is 0.768 and it is at the medium level in the whole Yellow River Basin. The AWRAE values in the nine provinces (autonomous regions) ranking from large to small are Sichuan > Shaanxi > Ningxia > Henan > Inner Mongolia > Shanxi > Qinghai > Shandong > Gansu, and the AWRAE values show a significant increasing trend in Shanxi, Henan, Inner Mongolia and Shandong. The gravity center of the AWRAE keeps wandering along the provincial boundaries of Gansu and Shaanxi, which presents a counterclockwise rotation trend; the AWRAE of Shaanxi exhibits significant H-H aggregation in 2000, 2005, 2010, and 2015 (p < 0.05) while the agglomeration is not significant in 2020. The AWRAE has been continuously improved in which the technological progress change (Techch) and technical efficiency change (Effch) play an important positive role while the pure technical efficiency change (Pech) acts as the negative role in the Yellow River Basin. Moreover, the key influencing factors on the AWRAE in different provinces and autonomous regions are significantly different; for example, the total power of agricultural machinery (AMTP) has a significant positive effect on AWRAE in most provinces, but the annual average precipitation (AAP), agricultural water (AW), water saving irrigated area (WIA) and water saving irrigation machinery (WIM) have significant negative effects on the efficiency of AWRAE in Qinghai. The research results can provide quantitative support for agricultural water-saving and stable grain yield increase in the Yellow River Basin.

Assessing the option water-saving willingness of irrigation areas considering farmers' risk tolerance.

Water option trading could facilitate water conservation in irrigation areas to achieve optimal allocation of agricultural water resources. However, the risk associated with water-saving decisions increases due to the uncertainties of tradeable water and water-saving benefits, which makes farmers in the irrigation area with heterogeneous risk tolerances exhibit varied option water-saving willingness (OWSW) in response to the water option contract. Thus, this article provides a novel framework for prior assessing the OWSW in the irrigated area that considers farmers' heterogeneous risk tolerance and proposes the optimal contractual water demand to stimulate the OWSW. First, a multiobjective optimal allocation model for cropping water is constructed to predict tradeable water, and then risk trust, risk-return perception and reference are integrated into water-saving return analysis for proposing a willingness calculation model involving forecast information. Finally, the influence of heterogeneous risk tolerance on farmers' water-saving path choices and the irrigation area's OWSW is analyzed with three sets of comparative data from 2014 to 2021. Results indicate that the intensity and stability of OWSW in water-scarce irrigation areas increase as farmers' risk tolerance rises, but the enhancement utility exhibits a diminishing marginal trend. When both prediction accuracy and farmers' risk tolerance are low, contracts with relatively adventurous and differentiated water demands are more likely to stimulate OWSW. This study provides insights into activating water options trading and stimulating water conservation in agriculture from a risk management perspective.

Optimal allocation of agricultural water resources in Yanghe watershed considering blue water to green water ratio.

Yanghe Watershed has low annual rainfall, uneven spatial and temporal distribution, extreme shortage of water resources in some areas. The contradiction between supply and demand of water for agricultural production is prominent and the expected production value cannot be achieved. Therefore, it is necessary to investigate the supply and demand of agricultural water resources and the impact of green water on agricultural crops in Yanghe Watershed. This article proposes a new crop economic model for increasing the green-water footprint to blue-water footprint ratio (GWF:BWF) in accordance with the regional characteristics, alleviating agricultural water shortage in irrigation areas, optimizing water resource allocation, and achieving sustainable agricultural development. The proposition is based on a study of five crops in eight districts and counties in the Yanghe River watershed. By combining the economic model F with a crop water production function, we achieved 89.3%, 88.9%, 97.1%, 81.5%, and 87.0% of the optimal water demands of the five crops, respectively, and effectively improved the underground irrigation of crops and the water resource utilization efficiency. The GWF:BWF threshold interval was subsequently selected based on the temporal changes in the BWF and GWF in the study area. This enabled significant reduction of the planting area of blue-water crops and increase in the proportion of green-water crops, while also improving the agricultural economy of the Yanghe Watershed. The proposed model promises to afford enhanced management of agricultural irrigation areas that experience rainfall shortage. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Efficient Utilization and Optimal Allocation of Agricultural Water Resources in the Yellow River Basin

Efficient Utilization and Optimal Allocation of Agricultural Water Resources in the Yellow River Basin

Risk regulation of water allocation in irrigation areas under changing water supply and demand conditions

The uncertainty of the hydrological environment and unbalanced water resource allocation result in a high risk of irrigation water shortages in regional agriculture, which seriously affects the sustainable development of agricultural systems. In this paper, we propose a risk regulation based modeling approach for the optimal allocation of agricultural water resources in a complex stochastic environment. The approach includes a conditional value-at-risk (CVaR) model, two-stage stochastic programming (TSP) model, two-dimensional joint distribution probability (JP) model, fractal criteria, and a multiple forms of chance-constrained programming (CCP) model. The model can weigh the contradiction between the intended target and associated penalties attributed to unknown hydrological events, measure the risk between system benefits and expected losses in agricultural water allocation at different confidence levels, and address the randomness in the objective function and constraints (including the left end term, right end term, and left and right end terms). To verify the applicability of the method, it is applied to the Jinxi Irrigation District in China to optimize the allocation and risk regulation of limited water resources under the variable runoff conditions of the Songhua River and crop water demands in the irrigation area. By adjusting parameters such as risk preference and probability of violation, the risk of water shortages in the irrigation area can be regulated, and the multidimensional impacts of different water allocation schemes on agricultural economic benefits, social benefits, ecology and environment can be determined. The case study reveals that the CTSP-CCJP method is sensitive, applicable to complex and uncertain environments and important for the efficient use of agricultural water resources and risk reduction.

Study on Rational Development and Allocation of Agricultural Water Resources in Zhoukou City

Study on Rational Development and Allocation of Agricultural Water Resources in Zhoukou City

Integrated agricultural water pricing reform (IAWPR) in China: a state-of-the-art review with focus on strategic significance, policy design, reform process and case reform effect

Abstract The integrated agricultural water pricing reform (IAWPR) is by far the most systematic, complex and longest reform in the agricultural sector of China. It has lasted for decades from the stage of reform exploration to the current reform development. IAWPR can effectively address resourced price distortion and promote rational allocation of agricultural water resources. By improving China's agricultural water pricing mechanism, government agricultural subsidy mechanism, water-saving incentive mechanism, operation and management (O&M) mechanism of irrigation systems and water quota mechanism, the reform will promote water conservation in agriculture and ensure the effective operation of irrigation systems. It is a major strategic decision made by the Chinese government to address the water security challenges facing sustainable development. This paper reviews the course of the reform, introduces the policy design, key tasks and implementation of the reform, and takes Jiangsu Province as an example to demonstrate the effect of the reform, but also discusses the problems existing in the reform.

Spatio-temporal variation of irrigation water requirements for wheat and maize in the Yellow River Basin, China, 1974–2017

Irrigation is a prerequisite for the sustainable development of agricultural production. With the existing of water resources shortage and climate change, it is of great importance to explore the variation of crop irrigation water requirement (IWR) in the Yellow River Basin (YRB). Based on 1974–2017 meteorological dataset from 96 stations, we analyzed the spatio-temporal variation characteristics of meteorological factors and crop IWR during the growing seasons of four main crops including spring wheat, winter wheat, spring maize and summer maize, respectively. Furthermore, we explored the dominant meteorological factors of the crop IWR variation. The results indicated that daily mean temperature (T) had a significant upward trend, while the effective precipitation (Peff) did not change significantly during the growing season of each crop in the past 44 years. Crop IWR had increasing trend with 9.9 mm/decade, 4.3 mm/decade, 6.4 mm/decade for spring wheat, winter wheat, spring maize respectively, while a slight decreasing trend with − 1.7 mm/decade for summer maize. It is noted that extremely significant increase in crop IWR were mostly located in Ningxia, southern Gansu and eastern Qinghai. Moreover, Peff, net radiation (Rn) and relative humidity (RH) were identified as the dominant meteorological factors influencing variations of IWR for all crops. In the context of significant increase in T and uncertain future precipitation patterns, IWR for spring wheat, winter wheat and spring maize in the YRB has shown an upward trend which is not favorable to the sustainable development of water resources. It is urgent to take effective water-saving measures to hedge the adverse impact of climate change on agriculture. These findings can provide scientific basis for rational allocation of agricultural water resources in the YRB.

Optimal allocation of agricultural water resources under the background of China's agricultural water price reform-a case study of Heilongjiang province

To improve the performance of agricultural water resources and food production against a background of China's agricultural water price reform, an interval two-stage stochastic programming model is established and applied to account for impacts of agricultural water price reform and a water-saving technology subsidy in Heilongjiang Province, China. A water price affordability constraint and a water-saving technology subsidy to support uptake of water-saving irrigation technology are both introduced. Results of model runs show that when the current agricultural water price is increased to reflect national water price reform without a technology subsidy, the total income of irrigation farming is reduced by 2%-8%, with potential negative impacts on food production. However when an irrigation water-saving technology subsidy is introduced to accompany the increased water price, farm income can be protected and overall food production can be maintained. The two part mechanism of increased water price and water-saving technology subsidy can be used to encourage farmer to reduce water application rates as well as reduce land in production of high-water-consuming crops. Such a two part program offers considerable hope for protecting unsustainable use of water in water scarce regions while protecting farm income and food security in the face of unknown future water supply fluctuations.

Mapping paddy rice using Landsat time series data in the Ganfu Plain irrigation system, Southern China, from 1988−2017

ABSTRACT The spatial pattern and temporal variation of paddy rice fields based on remote sensing have strong effects on the allocation of agricultural water resources on a regional scale. Free Land Remote-Sensing Satellite (Landsat) data have been successfully used to map paddy rice. However, due to frequent clouds and a temporal gap of 16 days, the shortage of Landsat data availability poses a great challenge to long-term paddy rice mapping. This study proposed a decision tree algorithm based on the Enhanced Vegetation Index (EVI) to map multi-season paddy rice in southern China. The study area is located in the Ganfu Plain Irrigation System (GFPIS), where double-cropping rice (early and late rice) and single-cropping rice (middle rice) are mixed. First, we explored the effects of the number and temporal distribution of Landsat images on the classification accuracy. With available cloud-free images in 2017, ten image combinations were set up to map rice fields using the proposed algorithm separately. Then, the algorithm was applied to map historical paddy rice planting in this study area. The results indicated that with a cropland mask, a single-date image in early rice growing season can map the total early rice with an overall accuracy varying from 82.02% to 93.26%, and the accuracy was mainly influenced by the temporal distribution of the images. In addition, through post-processing, multi-temporal images could be used to recognize early rice only, late rice only, double-cropping rice and middle rice with an overall accuracy ranging from 71.83% to 85.81%. In contrast, images in the early or late growing season without obvious vegetation characteristics may result in confusion. Two peak growing season images with obvious differences in the vegetation index played a key role in detecting different rice cropping types. In addition, when the EVI of rice was within a certain range, one or more images could achieve a similar overall accuracy. The total area of middle rice and late rice remained constant before 2001, but it changed from 10.72 × 104 ha in 2001 to 7.55 × 104 ha in 2017. Additionally, there was a twofold increase in the mapped middle rice area.

Evaluation of the agricultural water resource carrying capacity and optimization of a planting-raising structure

The serious shortage of water resources and the progressive deterioration of downstream water environments restrict development of the agricultural economy. It is necessary to study the optimization method of water allocation from the perspective of sustainable development, considering the real situation of agricultural production and water quality. First, an improved principal component analysis that considers the importance of indicators to the principal components is performed to select evaluation indicators, and the entropy weight method is modified to stably and sensitively determine the weight of the evaluation indicators. Moreover, Dempster–Shafer evidence theory is proposed to obtain the comprehensive weight of the evaluation indicators, taking into account both subjective and objective factors. Second, the model to optimize the planting-raising structure and regulate water quantity and quality is established by combining the evaluation of agricultural water resource carrying capacity (AWRCC). A method of water allocation based on the characteristics of water requirement of crops and livestock is put forward, which can not only avoid imbalanced water supply, but also reduce the dimensions of the model. Finally, our proposed method of optimal allocation of agricultural water resources is applied to the Yang River Basin. The evaluation results show that the AWRCC of the subareas fall between the saturated and the transition state during the years included in this study. The optimization results show that the monthly concentration of ammonia nitrogen and chemical oxygen demand can meet the requirement of water quality of less than 1 mg/L and 20 mg/L, respectively. Meanwhile, economic benefits are increased, and the AWRCC is improved. In conclusion, the proposed method and model can provide a valuable tool to evaluate and promote the coordination between the agricultural economy, water quality safety, and sustainable development of local agricultural water resources.

Changes of cropland evapotranspiration and its driving factors on the loess plateau of China

Agricultural water resource, mainly consumed through evapotranspiration, plays a critical role in agricultural production of arid and semiarid regions. Quantifying the changes of evapotranspiration in cropland (ETc), and its driving factors, may provide rich information for improving human land-use and water resource management. Here we first investigated the multi-year (2000–2015) changes in the ETc (mm yr−1) and associated driving factors of the Loess Plateau (LP), using a combination of the Vegetation Interfaces Processes model and a factorial analysis of variance. We found that the ETc of the LP showed a significant upward trend of 0.31 km3 yr−2 (3.33 mm yr−2) (p < .05) over the last 16 years, mainly driven by cropland changes (3.77% per year), which combined the contribution of cropland area changes and cropland leaf area index (LAIc) changes. We then examined the changes of the dominant driving factor: cropland, and results indicated that the cropland changes consisted of the decrease in cropland area (net decrease of 10.50 × 103 km2) and the increase in LAIc (increased by 10.72%), which suggest the actual contribution of the ETc uptrend was the increasing LAIc. Our further analysis on the causes of the increasing LAIc by correlating the LAIc with land-use management factors revealed that the cropland greening on the LP showed high positive correlations with the increasing inputs of total power of agriculture machinery and farm plastic film, followed by chemical fertilizer. The increase of LAIc was also promoted by the increased ratio of the garden fruits output to total crops output (increased by 67.12%) and multiple cropping (increased by 21.66%). These results suggest that the ETc uptrend can be related to the agricultural intensification. Our study highlights the need for a realistic representation of socio-economic development and human land-use practices in the sustainable optimal allocation of agricultural water resources on the LP.

How to Improve Water Resources Allocation Efficiency: A Two-Stage Performance-Based Allocation Mechanism

The fact that the water resource governor has to allocate limited water resources to two competing agricultural water users under the administrative system (AS) leads to a principal-agent issue. Hence, this paper constructs a two-stage performance-based allocation mechanism to motivate two competing water users (referred to as the agents) to act in accordance with the interests of the governor (referred to as the principal). This mechanism is about the interaction between the governor and two water users. The governor aims to improve water resources allocation efficiency and balance economic and environmental development, while each agricultural user focuses on the overall amount of water resources they have to operate and would like to ignore environment protection issues. Besides, the total water resources invested into production or environment is two water users’ private information, which is unknown to the governor. In the first stage, the governor allocates water resources between two users according to their previous performances, including production and environmental aspects. Results indicate that the equilibrium state of this mechanism could encourage two water users to focus on production and environment performances simultaneously and to help the governor transfer the pollution cost to two water users under the external of pollution cost, which motivates them to compete for available water resources. This competition between two users will directly affect users’ behaviors. These results could improve water resources allocation efficiency significantly and realize the sustainability of water resources in the agricultural field under the current AS. This perspective could also provide a new insight for the management of agricultural water resources allocation and offer relative decision support to relative governors.

Agricultural Water Resources Management Using Maximum Entropy and Entropy-Weight-Based TOPSIS Methods.

Allocation and management of agricultural water resources is an emerging concern due to diminishing water supplies and increasing water demands. To achieve economic, social, and environmental goals in a specific irrigation district, decisions should be made subject to the changing water supply and water demand—the two critical random parameters in agricultural water resources management. This paper presents the foundations of a systematic framework for agricultural water resources management, including determination of distribution functions, joint probability of water supply and water demand, optimal allocation of agricultural water resources, and evaluation of various schemes according to agricultural water resources carrying capacity. The maximum entropy method is used to estimate parameters of probability distributions of water supply and demand, which is the basic for the other parts of the framework. The entropy-weight-based TOPSIS method is applied to evaluate agricultural water resources allocation schemes, because it avoids the subjectivity of weight determination and reflects the dynamic changing trend of agricultural water resources carrying capacity. A case study using an irrigation district in Northeast China is used to demonstrate the feasibility and applicability of the framework. It is found that the framework works effectively to balance multiple objectives and provides alternative schemes, considering the combinatorial variety of water supply and water demand, which are conducive to agricultural water resources planning.

Agricultural Water Productivity Oriented Water Resources Allocation Based on the Coordination of Multiple Factors

Agricultural water productivity (AWP), which is associated with multiple factors, is an important index for measuring the effectiveness of agricultural water management. The purpose of this study is to promote AWP through optimally allocating limited agricultural water resources with the coordination of related elements. Firstly, the coordination effects of multiple factors related to AWP are quantified as relative optimum membership degrees based on the fuzzy optimum selecting theory. Secondly, based on the relative optimum membership degrees for various crops, a linear fractional programming model is established to maximize AWP in agricultural water resources allocation. Thirdly, the impacts of the allocation schemes on the development of social-economy and ecological environment are discussed using the multi-dimensional regulation theory. The developed integrated system has advantages in increasing agricultural water productivity through the coordination of multiple factors with aspects of economy, society and resources. Moreover, the system is capable of screening schemes considering harmonious development of resources, economy, society and ecology based on optimization results, providing decision makers with more sustainable schemes for irrigation water allocation. The integrated system including the aforementioned three parts is applied to a real-world case study in China to demonstrate its feasibility and applicability. Different water allocation schemes for various crops under different scenarios were obtained. The average value of AWP is 1.85 kg/m3, which is 0.31 kg/m3 higher than the current value of AWP. An optimum scheme with 1.1405 × 108 m3 of water being allocated was also selected due to its highest level of coordination for resources, economy, society and ecology. The developed system can provide an effective method for AWP promotion. The obtained results can help local decision makers adjust water resources allocation schemes.

An inexact CVaR two-stage mixed-integer linear programming approach for agricultural water management under uncertainty considering ecological water requirement

In this study, an inexact CVaR (conditional value-at-risk) two-stage mixed-integer linear programming (ICTMLP) approach is developed for agricultural water management under uncertainty considering ecological water requirement. Techniques of interval parameter programming (IPP), two-stage stochastic programming (TSP), CVaR and integer programming (IP) are jointly incorporated into the general optimization framework. The developed model can deal with uncertainties presented as discrete intervals and probability distributions. It has advantages in: (1) considering economic benefits and risk in the objective function simultaneously, (2) reflecting the tradeoffs between conflicting economic benefits and penalties due to violated policies, (3) facilitating dynamic analysis of decision making and (4) generating more flexible solutions under different risk-aversion levels. The model is applied to a realistic case study of agricultural water resources allocation in the middle reaches of Heihe River Basin, northwest China, where three scenarios with different types of ecological water requirements are taken into account. Therefore, optimal water allocation solutions from the ICTMLP model can support in-depth analysis of interactions among economic benefits, violated policies and risk-aversion levels. Moreover, these results are useful for helping decision makers find better decision alternatives to support regional ecological protection and agricultural production.

Deficit irrigation and sustainable water-resource strategies in agriculture for China's food security.

More than 70% of fresh water is used in agriculture in many parts of the world, but competition for domestic and industrial water use is intense. For future global food security, water use in agriculture must become sustainable. Agricultural water-use efficiency and water productivity can be improved at different points from the stomatal to the regional scale. A promising approach is the use of deficit irrigation, which can both save water and induce plant physiological regulations such as stomatal opening and reproductive and vegetative growth. At the scales of the irrigation district, the catchment, and the region, there can be many other components to a sustainable water-resources strategy. There is much interest in whether crop water use can be regulated as a function of understanding of physiological responses. If this is the case, then agricultural water resources can be reallocated to the benefit of the broader community. We summarize the extent of use and impact of deficit irrigation within China. A sustainable strategy for allocation of agricultural water resources for food security is proposed. Our intention is to build an integrative system to control crop water use during different cropping stages and actively regulate the plant's growth, productivity, and development based on physiological responses. This is done with a view to improving the allocation of limited agricultural water resources.

Optimal Allocation of Agricultural Water Resources Based on Virtual Water Subdivision in Shiyang River Basin

Without subdividing into blue and green virtual water, the virtual crop water is currently used in the allocation of water resources based on virtual water strategy. In order to improve agricultural water use efficiency and the proportion of green water utilization, a multi-objective optimal allocation model for agricultural water resources is developed in this study. The model is based on the subdivision of virtual water into blue and green virtual water, subject to three objectives of the maximum net benefit from agriculture, the minimum fairness difference in the utilization of water, and the maximum proportion of green water utilization. Taking Shiyang River basin as an example, agricultural water resources are optimized through regional virtual water trade in the basin. Results show that compared with the situation in the year 2007, the net benefit of agriculture, the fairness difference in the utilization of water, and the proportion of green water utilization are optimized. At the same time, the planting ratio of food crops, such as corn, reduces, while the planting ratio of cash crops, such as cotton, vegetables, and fruits, increases. Through regional virtual water strategy in the basin, with the crops of different districts having comparative advantages, the proportion of green water utilization and the blue water use efficiency are improved. The study provides a scientific basis to solve the water shortage problem in the basin.