Exploring Simulation–Optimization for Sustainable Groundwater Management: A Critical Review DOI
Shreyansh Mishra,

Shishir Gaur,

Mariem Kacem

et al.

CLEAN - Soil Air Water, Journal Year: 2024, Volume and Issue: 53(1)

Published: Dec. 10, 2024

ABSTRACT Simulation–optimization (S–O) is a well‐regarded method for solving groundwater (GW) management problems. Although S–O has significantly improved the decision support system GW management, it still lacks practical applicability. As result, many researchers have been improving its components, leading to slightly or better performance. To understand these challenges efficiently, this article delves into principal components of that offer in‐depth critical insights GW's sustainability. The discussed segments are divided simulation models, optimization methods, categories and conceptualization problems, formulation real‐world objective functions. This review also examines surrogate‐assisted models reduce computational challenges. Methods address model uncertainty decision‐making in applying sustained yield problems addressed. outlays steps methodology recommends potential research directions aid further enhancing practicality S–O.

Language: Английский

Investigating the impacts of climate change on hydroclimatic extremes in the Tar-Pamlico River basin, North Carolina DOI
Thanh‐Nhan‐Duc Tran,

Mahesh R Tapas,

Son K.

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 363, P. 121375 - 121375

Published: June 8, 2024

Language: Английский

Citations

56
Climate-smart irrigation strategy can mitigate agricultural water consumption while ensuring food security under a changing climate DOI Creative Commons
Mengna Li, Shiwei Zhou, Shuaijie Shen

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 292, P. 108663 - 108663

Published: Jan. 9, 2024

North China Plain suffers from the world's most severe water scarcity and groundwater depletion due to intensive irrigation for agricultural production. It is imperative reduce consumption while safeguarding crop production food security. This study conducted a quantitative analysis with deficit strategies winter wheat using water-driven AquaCrop model. After model calibration validation field experimental data, we analyzed demand, yield, productivity (WP) of under various scenarios. A set optimal schedules were proposed different climate years, which significantly mitigated usage sustaining high yields WPs. The results indicated that despite demand future scenario was slightly higher than in historical period, their sensitive periods (reviving, jointing, flowering) remained same. Therefore, recommended adopting same periods. In wet 50% strategy only reduced by less 5% compared full irrigation, but it saved 1000–1100 m3 per hectare contributed WP 1.88 kg/m3. While normal dry an 25% could sustain over 96% maximum meanwhile save 650–800 m3/ha achieve almost as irrigation. These climate-smart adapting diverse climatic conditions largely mitigate maximizing use efficiency, are essential achieving precision sustainable management changing climate.

Language: Английский

Citations

12
Multi-objective irrigation strategies and production prediction for winter wheat in China in future dry years using CERES-wheat model and non-dominated sorting genetic algorithm II DOI
Cuiping Yang, Changhong Liu,

Zhiyuan Qiu

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 230, P. 109888 - 109888

Published: Jan. 6, 2025

Language: Английский

Citations

1
Adaptation strategies for winter wheat production at farmer fields under a changing climate: Employing crop and multiple global climate models DOI Creative Commons
Muhammad Rizwan Shoukat, Jingjing Wang, Muhammad Habib ur Rahman

et al.

Agricultural Systems, Journal Year: 2024, Volume and Issue: 220, P. 104066 - 104066

Published: July 27, 2024

Climate change profoundly affects agriculture through increased occurrences of extreme weather events, directly affecting crop growth and food security. The North China Plain (NCP), a significant region for winter wheat production, faces challenges from the changing climate, which could threaten agricultural output sustainability. This study aimed to evaluate effects warming fluctuating precipitation, rising CO2 levels on production in NCP. Additionally, it developed adaptation strategies, such as modifying timing planting adjusting irrigation nitrogen fertilizer levels, mitigate negative impacts climate grain production. Using DSSAT CROPSIM CERES-Wheat NWheat models, this incorporated baseline data 2001 2020 future projections 12 GCMs under CMIP6 framework. evaluation was segmented into four terms (terms 1 4) spanning 2021 2100, two societal development scenarios known Shared Socioeconomic Pathways (SSPs): SSP2–4.5 SSP5–8.5. indicated an increase temperature precipitation over century, with most substantial changes SSP5–8.5 scenario. Term (2021–2040) forecasts predicted mild increases (0.89 °C average maximum temperature, 0.74 minimum temperature) 8% precipitation. 4 (2081–2100) more severe impact, temperatures by 3.19 °C, 3.07 seasonal increasing 23%. These climatic are expected reduce growing season 4–17%, decrease numbers 3–21%, yield 4–20% compared baseline. However, enhance 4–30% SSP5–8.5, indicating complex interaction between factors productivity. showed that including times (early October), (300–400 mm), application (250–300 kg ha−1), can effectively minimize yield. underscores critical need immediate effective strategies address impact agriculture. By practices, NCP be mitigated, thereby contributing regional security face ongoing challenges.

Language: Английский

Citations

7
Impacts of climate change on spatial wheat yield and nutritional values using hybrid machine learning DOI Creative Commons

Ahmed M. S. Kheir,

Osama Ali, Ashifur Rahman Shawon

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(10), P. 104049 - 104049

Published: Aug. 30, 2024

Abstract Wheat’s nutritional value is critical for human nutrition and food security. However, more attention needed, particularly regarding the content concentration of iron (Fe) zinc (Zn), especially in context climate change (CC) impacts. To address this, various controlled field experiments were conducted, involving cultivation three wheat cultivars over growing seasons at multiple locations with different soil conditions under varying Fe Zn treatments. The yield attributes, including values such as nitrogen (N), Zn, from these integrated national statistics other to train test machine learning (ML) algorithms. Automated ML leveraging a large number models, outperformed traditional enabling training testing numerous achieving robust predictions grain (GY) ( R 2 > 0.78), N 0.75), 0.71) through stacked ensemble all models. model predicted GY, N, Fe, spatial explicit mid-century (2020–2050) using Global Circulation Models (GCMs): GFDL-ESM4, HadGEM3-GC31-MM, MRI-ESM2-0 two shared socioeconomic pathways (SSPs) specifically SSP2-45 SSP5-85, downscaled NEX-GDDP-CMIP6. Averaged across GCMs SSPs, CC projected increase by 4.5%, protein 0.8% high variability. it expected decrease 5.5%, 4.5% relative historical period (1980–2010). Positive impacts on encountered negative concentrations, further exacerbating challenges related security nutrition.

Language: Английский

Citations

7
Optimal irrigation for wheat-maize rotation depending on precipitation in the North China Plain: Evidence from a four-year experiment DOI Creative Commons
Lei Yang,

Xiang‐Yang Fang,

Jie Zhou

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 294, P. 108726 - 108726

Published: Feb. 16, 2024

The North China Plain (NCP) is a remarkable agricultural area with severe water scarcity and uneven precipitation, especially in wheat season. Optimizing irrigation strategies to increase productivity (WP) achieve higher yield winter wheat-summer maize rotation urgently needed has been persistent challenge. A four-year field experiment was conducted explore the impact of on WP subsequent under different precipitation year types (dry normal years, categorized based cumulative from sowing jointing stage (P1)). Four (W0, no irrigation; W1, pre-sowing W2, + W3, anthesis irrigation) were adopted for wheat, identical operations applied maize. Results showed that affected by P1 rather than total precipitation. Irrigation improved enhancing evapotranspiration, spike number, grain 1000-seed weight. water-limited gap between W2 W1 significantly those W0, W3 implying suitable strategy production. Different season had effect but increased 13.2–29.3% 16.1–41.8% compared other treatments through decreasing soil storage before dry years. Therefore, we recommended annual yield, WP, net income years (37.6 mm < 79.9 mm); lower consumption economic benefits (P1 37.6 mm), respectively. Overall, optimizing conditions an effective cope resource shortages crop NCP.

Language: Английский

Citations

6
Calculation of Urban Groundwater Environmental Carrying Capacity Driven by Multiple Factors DOI Open Access

Yuze Zhou,

Ming Dou,

Gao Ting

et al.

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 807 - 807

Published: March 12, 2025

Global urbanization has led to the overexploitation and pollution of groundwater resources, restricting sustainable construction development cities. Groundwater environmental carrying capacity (GW-ECC) refers maximum total amount pollutants that can be accommodated by a given system within certain time period under specified goals. To better understand changes in GW-ECC context rapid urbanization, this study built model urban driven multiple factors. Taking area Zhengzhou as an example, rainfall infiltration riverside seepage were calculated considering change impervious over past 20 years. The Mann–Kendall rank test was used evaluate varying trends two factors process. Based on this, current year calculated, different regulatory schemes after 10 years evaluated. results showed constructed could accurately simulate system. With acceleration recharges precipitation, rivers tend decline. ammonia nitrogen exhibited overall upward trend. By end 2030, is expected reach 1964.5 t. Changes resources caused precipitation extraction main driving variations GW-ECC. In areas with mature measures such increasing recharge reducing are more effective improving

Language: Английский

Citations

0
Principles of terrestrial water distribution patterns and the role of soil hydraulic properties DOI

Yanxiao Liu,

Yang Zhang, Zheng Li

et al.

CATENA, Journal Year: 2024, Volume and Issue: 239, P. 107934 - 107934

Published: March 1, 2024

Language: Английский

Citations

3
Adaptation of sprinkler irrigation scheduling and winter wheat variety to cope with climate change in the North China Plain DOI Creative Commons

Xiaopei Tang,

Haijun Liu, Zhiliang Zhang

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 301, P. 108929 - 108929

Published: July 4, 2024

Climate change and water shortage have brought great challenges to agricultural production in the North China Plain, it's crucial find suitable method address these challenges. model projections were used drive Agro-Hydrological & chemical Crop systems simulator (AHC) that considering impact of irrigation on field microclimate. Yield, evapotranspiration (ET), productivity (WP), groundwater level 6 wheat varieties under sprinkler scheduling (IS1: no irrigation; IS6: full without deficit; IS2–5: deficit with 0.2, 0.4, 0.6, 0.8 times IS6 after greening) estimated Xingtai current two shared social economic paths scenarios (SSP2–4.5 SSP5–8.5). The optimal combination variety (OC) was selected by Topsis method. results indicated AHC had a high accuracy simulating growth six (R2>0.80, NRMSE<20 %) parameter optimization. temperature, solar radiation, precipitation 2021–2100 increased 0.1–2.8 °C, 0.7–1.7 MJ m−2 d−1, 5.2–28.8 mm SSP2–4.5 0.2–4.8 0.9–1.2 4.7–73.1 SSP5–8.5 than climate. As amount increased, simulated yield ET while WP first then decreased. Due climate change, failed improve potential 2080 2060 SSP5–8.5. OC implied "Shimai26" IS5 IS4 future best strategy. It saved 13–23 % similar irrigation. Moreover, inhibitory effect annual drawdown stronger other 0.04–0.24 m. These findings beneficial for mitigating impacts grain yields scarce areas.

Language: Английский

Citations

3
Attribution analysis of groundwater depth dynamic changes in the water receiving region of the South-to-North water diversion middle route project in China DOI Creative Commons

Pengcheng Xia,

Chengpeng Lu, Guangdong Wu

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102210 - 102210

Published: Jan. 31, 2025

Language: Английский

Citations

0