Agricultural Irrigation Water Requirement and Its Response to Climatic Factors Based on Remote Sensing and Single Crop Coefficient Method DOI Creative Commons
Jiaxin Sun, Liwen Chen, Peng Qi

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 23, 2024

Abstract Precise calculation of the water required for agricultural irrigation is important efficient use resources and maintenance food security. However, amount significantly uncertain at different time scales under influence climate change. In this study, one major grain producing area, Youyi Farm in Sanjiang Plain, was selected to simulate requirement Rice, Maize, Soybean based on remote sensing data Google Earth Engine (GEE) platform single crop coefficient method. Meanwhile, their response climatic factors analyzed by method generalized additive model (GAM). The results showed that multi-year average during 2010 ~ 2019 2.98×108m3, 0.25×108m3, 0.04×108m3, respectively. A fluctuating decreasing trend shown each crops’ requirement. stages growth varies due conditions years. For initial period accounts largest proportion (34%). Maize Soybean, middle has highest (45% 52%). addition, from 2000 2019, three main with greatest impact were precipitation, vapor pressure deficit, photoperiod, order. Irrigation positively correlated wind speed, maximum temperature deficit. Precipitation negatively requirement, minimum non-linearly first then negatively.

Language: Английский

Impacts of Crop Type and Climate Changes on Agricultural Water Dynamics in Northeast China from 2000 to 2020 DOI Creative Commons
Xingyuan Xiao, Jing Zhang, Yaqun Liu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(6), P. 1007 - 1007

Published: March 13, 2024

Northeast China (NEC) is one of the most important national agricultural production bases, and its water dynamics are essential for food security sustainable development. However, long-term annual crop-specific crop type climate impacts remain largely unknown, compromising water-saving practices water-efficiency management in this vital area. Thus, study used multi-source data type, factors, digital elevation model (DEM), multiple agriculture technologies remote sensing (RS), geographic information system (GIS), Soil Conservation Service United States Department Agriculture (USDA-SCS) model, Food Organization Nations Penman–Monteith (FAO P-M) supply–demand index (M) to map spatiotemporal distribution effective precipitation (Pe), requirement (ETc), irrigation (IWR), situation NEC from 2000 2020. The further analyzed changes on revealed reasons policy implications their heterogeneity. results indicated that average Pe, ETc, IWR, M increased by 1.56%/a, 0.74%/a, 0.42%/a, 0.83%/a NEC, respectively. Crop-specifically, Pe 1.15%/a, 2.04%/a, 2.09%/a, ETc decreased 0.46%/a, 0.79%/a, 0.89%/a, IWR 1.03%/a, 1.32%/a, 3.42%/a, 1.48%/a, 2.67%/a, 2.87%/a maize, rice, soybean, Although all crops decreased, regional averages still due expansion water-intensive maize rice. jointly influenced dynamics. Crop transfer contributed 39.28% 41.25% total increase, remaining 60.72% 58.75% were caused cropland 2010 2020, with increasing temperature solar radiation, led decreasing NEC. adjustment planting structure implementation need comprehensively consider spatiotemporally heterogeneous findings can aid RS-GIS-based simulations applications support scientific basis

Language: Английский

Citations

4
Pathways to balancing water and food for agricultural sustainable development in the Beijing-Tianjin-Hebei Region, China DOI Creative Commons

Jianmei Luo,

Ying Guo, Yongqing Qi

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 310, P. 109344 - 109344

Published: Feb. 18, 2025

Language: Английский

Citations

0
Evolution of Crop Planting Structure in Traditional Agricultural Areas and Its Influence Factors: A Case Study in Alar Reclamation DOI Creative Commons

Shuqi Jiang,

Jiankui Yu,

Shenglin Li

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(3), P. 580 - 580

Published: March 14, 2024

This research provides a comprehensive analysis of the spatiotemporal evolution regional cropping structure and its influencing factors. Using Landsat satellite images, field surveys, yearbook data, we developed planting extraction model employing classification regression tree algorithm to obtain data on major crop cultivation structural characteristics Alar reclamation from 1990 2023. A dynamic transfer matrix were used analyze temporal changes, centroid migration was study spatial changes in structure. Nonparametric mutation tests through-traffic coefficient utilized quantify main driving factors During period 1990–2023, cotton area region expanded by 722.08 km2, while jujube exhibited an initial increase followed decrease same period. The primary reasons are linked cost purchase, agricultural mechanization, compatibility. In area, cotton, chili, cultivated crops. Cotton is mainly grown southern side Tarim River, chili concentrated northern bank river. Over years, there has been noticeable complementarity distribution density rice crops this region. reclamation, change land price, machinery gross power, population. Consequently, implementing measures such as providing subsidies other policy incentives enhance income can effectively stimulate farmers’ willingness engage activities.

Language: Английский

Citations

1
Evaluating the adoption of irrigation technology in a well-irrigated winter wheat－summer maize cropping system DOI Creative Commons
Yushun Zhang, Jian Liu, Xinqiang Qiu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28970 - e28970

Published: March 30, 2024

Determining suitable irrigation technology is of paramount for promoting water-saving agriculture, particularly winter wheat-summer maize rotation system in well-irrigated regions. To optimize and assess the efficacy various technologies (specifically, semi-fixed sprinkler irrigation, walking sprinkler, semi-automatic buried telescopic thin-soft spray tape drip self-driven winch manually moving gun marked as A, B, C, D, E, F G) applied south central North China Plain, we first conducted an economic analysis rotation. Subsequently, employing a comprehensive set 20 indicators spanning economic, societal, technological, ecological, resource aspects, employed TOPSIS model with integrative weighting approach using "AHP + Entropy". We also principal component Sankey diagram method to explore characteristics different techniques indexes. Irrigation mode conserving energy by 63.19% compared B offering labor savings five times greater than D. The highest benefit was observed resulting 25.26% increase G. top three modes based on scores were G, 0.532, 0.490, 0.474, respectively. revealed distinct preferences among agricultural entities specific modes. For stakeholders, recommend F, small farmers, large specialized family businesses, farms, farmer cooperatives, In conclusion, our findings provide valuable scientific support recommendations practical application production.

Language: Английский

Citations

1
Optimizing the Water and Nitrogen Management Scheme to Enhance Potato Yield and Water–Nitrogen Use Efficiency DOI Creative Commons

Zhiqiang Ju,

Dongrong Li,

Yanqiang Cui

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(8), P. 1651 - 1651

Published: July 27, 2024

Water and nitrogen are the primary constraints on improving agricultural productivity. The aims of this study to investigate synergistic effects water nitrogen, optimize their combination schemes under mulched drip irrigation systems in northwest region China, offer scientific insight into enhancing use efficiency potato cultivation. traditional cultivar “Qing Shu 10” was chosen for test material. A two-year field water–nitrogen interaction conducted central Hexi Corridor, within Ganzhou District Zhangye City, with three levels (W1 (336 mm), W2 (408 W3 (480 mm)) application rates (N1 (44 kg ha−1), N2 (192 N3 (240 ha−1)) using a fully randomized design, resulting nine treatments. This examined varying responses yield different combinations Corridor region, developed mathematical regression model predict economic benefit potatoes based interactions, refined strategy. results indicated that both volume rate significantly influenced utilization efficiency. distinct interactive effect observed between rate. reduced restricted uptake, an average increase 31.87% fertilizer partial productivity 31.54% when moving from W1 over two years only 6.02% 5.48% W3, respectively. Similarly, also hindered uptake by potatoes, increases 9.05% efficiency, 12.14% 12.12% N1 N2, 1.98% 1.69% N3, while decreased 1.17%. highest values period were N2W3 treatment, 43,493.54 43,082.19 ha−1. volume, rate, well modeled quadratic regression, R2 0.996 predicted actual years, indicating trend initial followed decrease as increased. Through simulation optimization thorough analysis multiple indicators, treatment yielded exceeding 25,391.13 CNY ha−1 demonstrated high not enhances but minimizes resource inputs, establishing it optimal management strategy study.

Language: Английский

Citations

1
Different Deficit Irrigation Lower Limits and Irrigation Quotas Affect the Yield and Water Use Efficiency of Winter Wheat by Regulating Photosynthetic Characteristics DOI Open Access
Huiqin Li, Mingzhi Zhang, Na Xiao

et al.

Phyton, Journal Year: 2023, Volume and Issue: 92(12), P. 3211 - 3236

Published: Jan. 1, 2023

To determine suitable thresholds for deficit irrigation of winter wheat in the well-irrigated area Huang-Huai-Hai Plain, we investigated effects different lower limits and quotas on photosynthetic characteristics grain yield wheat.Four were set initiating (i.e., light drought (LD, 50%, 55%, 60% 50% field holding capacity (FC) at seedling-regreening, jointing, heading filling-ripening stages, respectively), medium (MD, 40%, 55% 45% FC same adequate moisture (CK1, 60%, 65%, 70% heavy (CK2, 35%, 40% respectively)) five quota per event (30, 60, 90, 120 180 mm) each limit.We found that increase stress is conducive to normal photosynthesis leaves which supported by following findings.First, rate (Pn) LD60 treatment was higher than LD30, LD90, LD120, LD180, MD30, MD60, MD90, MD120 MD180.Then, Under 90 mm treatment, basically increased with irrigation's limit.Moreover, With quota, increased, water use efficiency (WUE) first then decreased.In addition, compared MD120, MD180, about 3.23% (3-year average), 32.3%, 19.9%, 11.7%, 10.1%, 14.6%.At time, WUE significantly MD180 treatments.There a positive correlation between soil volumetric content Pn Pn.The key period formation days after sowing.In conclusion, achieve dual goals stable efficient utilization resources this region, threshold treatment.This conclusion provides data support water-saving area.

Language: Английский

Citations

3
The Government–Farmer Cooperation Mechanism and Its Implementation Path to Realize the Goals of Optimizing Grain Planting Structure DOI Creative Commons
Gaofeng Ren, Xiao Peng Cui

Land, Journal Year: 2024, Volume and Issue: 13(3), P. 358 - 358

Published: March 12, 2024

In order to alleviate the grain supply–demand structural contradictions and ensure realization of planting structure optimization goals, it is necessary clarify interactive relationship between multiple entities, establish a cooperation mechanism, explore its implementation paths. To this end, differential game model built compare analyze optimal strategies, benefits, overall system outcomes for both government farmers under three scenarios: Nash non-cooperative game, Stackelberg collaborative game. Then, key factors their influencing mechanisms that affect government–farmer mechanism are revealed. Finally, csQCA used paths different stakeholders sound operation mechanism. The results show following: (1) should consist an inner core with interaction as outer comprising market environment, institutional environment. These two systems coordinate each other, respond drive progress together. (2) can optimize behavioral enthusiasm, resulting in individual benefits farmers. However, scientific orderly affected by such cost coefficient. Additionally, subsidies serve powerful policy tool enhance farmers’ thereby increasing parties maximizing effectiveness (3) There corresponding large-scale farmers, rural elites, small-scale farmers: being led external tools, linkage guidance decision-making environment willing subjects, factor allocation environmentally driven decision-making. findings provide theoretical support case reference marginal farmland management underdeveloped areas.

Language: Английский

Citations

0
The Application of Smart Drip Irrigation System for Precision Farming DOI

Suhardi Suhardi,

Bambang Marhaenanto, Bayu Taruna Widjaja Putra

et al.

Pertanika journal of science & technology, Journal Year: 2024, Volume and Issue: 32(6), P. 2737 - 2751

Published: Oct. 23, 2024

Managing water resources in urban areas is relatively expensive due to the costs of electricity and distribution from wells companies. Therefore, resource management for agricultural purposes needs be made efficient, such as through smart irrigation technologies, one which drip system that engages soil moisture sensors Internet Things (IoT) control amount distributed water. This study aims apply evaluate performance a based on IoT agriculture. The results showed uniformity was identified at fair levels, with Coefficient Uniformity (CU) 90.15% 86.58%, respectively. Furthermore, our also found IoT-assisted engaged Deep Neural Networks (DNN) model meet requirement led better peanut yield than control.

Language: Английский

Citations

0
Simulation and attribution analysis of agricultural nitrogen non-point source pollution in Huang-Huai-Hai Plain based on the InVEST model DOI Creative Commons
Ying Yu, Weiqiang Chen, Guangxing Ji

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Nov. 20, 2024

The study of agricultural non-point source pollution (ANNSP) patterns and driving mechanisms is crucial for regional ecological management. This paper evaluates the sources ANNSP in Huang-Huai-Hai Plain years 2000, 2010, 2020 using list method. Additionally, nitrogen data InVEST model were supplemented adjusted, output load proportions derived farmland from both methods compared. temporal spatial distribution emission intensity was analyzed based on outputs. Key areas identified through hotspot analysis, factors examined geodetector. findings reveal: 1) While method estimated a higher load, concurred proportion nitrogen. main input overuse fertilizer livestock breeding. 2) Over this period, declined, exhibiting distinct pattern “northwest low, southeast high.” 3) extent critical underwent dynamic shift, initially contracting before expanding. 4) Rainfall emerged as primary driver variability TN intensity. These insights offer reference points achieving efficient management Plain.

Language: Английский

Citations

0
Agricultural Irrigation Water Requirement and Its Response to Climatic Factors Based on Remote Sensing and Single Crop Coefficient Method DOI Creative Commons
Jiaxin Sun, Liwen Chen, Peng Qi

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 23, 2024

Abstract Precise calculation of the water required for agricultural irrigation is important efficient use resources and maintenance food security. However, amount significantly uncertain at different time scales under influence climate change. In this study, one major grain producing area, Youyi Farm in Sanjiang Plain, was selected to simulate requirement Rice, Maize, Soybean based on remote sensing data Google Earth Engine (GEE) platform single crop coefficient method. Meanwhile, their response climatic factors analyzed by method generalized additive model (GAM). The results showed that multi-year average during 2010 ~ 2019 2.98×108m3, 0.25×108m3, 0.04×108m3, respectively. A fluctuating decreasing trend shown each crops’ requirement. stages growth varies due conditions years. For initial period accounts largest proportion (34%). Maize Soybean, middle has highest (45% 52%). addition, from 2000 2019, three main with greatest impact were precipitation, vapor pressure deficit, photoperiod, order. Irrigation positively correlated wind speed, maximum temperature deficit. Precipitation negatively requirement, minimum non-linearly first then negatively.

Language: Английский

Citations

0