基于地块的城市绿地灌溉用水需求估算及影响因素分析
【目的】探析西北干旱区中小尺度城市绿地灌溉用水需求的时空变化特征，并分析其影响因素。【方法】根据气象数据、根区土壤湿度与地表遥感产品，将净灌溉用水量作为灌溉用水需求估算和影响因素分析的衡量指标，基于根区土壤水平衡原理，构建地块尺度的净灌溉用水量核算模型，并利用分位数随机森林和贝叶斯线性回归模型探讨灌溉用水需求的影响因素。【结果】2022年研究区绿地日平均净灌溉用水量介于0.45~0.85 mm，略低于实测值；在时间上，植被生长期间的灌溉用水需求更高；在空间上，植被更茂盛的绿地地块灌溉用水需求更高，呈显著的空间自相关性。【结论】灌溉用水需求的主要影响因素包括根区土壤湿度、地表温度、植被生长状况、...
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| Published in | Guanʻgai paishui xuebao Vol. 43; no. 12; pp. 113 - 120 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
Xinxiang City
Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage
01.12.2024
长安大学理学院,西安 710064%长安大学土地工程学院,西安 710064%天津大学建筑学院,天津 300354 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1672-3317 |
| DOI | 10.13522/j.cnki.ggps.2024177 |
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| Abstract | 【目的】探析西北干旱区中小尺度城市绿地灌溉用水需求的时空变化特征，并分析其影响因素。【方法】根据气象数据、根区土壤湿度与地表遥感产品，将净灌溉用水量作为灌溉用水需求估算和影响因素分析的衡量指标，基于根区土壤水平衡原理，构建地块尺度的净灌溉用水量核算模型，并利用分位数随机森林和贝叶斯线性回归模型探讨灌溉用水需求的影响因素。【结果】2022年研究区绿地日平均净灌溉用水量介于0.45~0.85 mm，略低于实测值；在时间上，植被生长期间的灌溉用水需求更高；在空间上，植被更茂盛的绿地地块灌溉用水需求更高，呈显著的空间自相关性。【结论】灌溉用水需求的主要影响因素包括根区土壤湿度、地表温度、植被生长状况、日照时间、气温；气象参数和地表遥感产品分别解释了净灌溉用水量变化的61%和78%，灌溉用水需求受多方面因素的综合影响。基于地块的绿地灌溉用水需求估算和分析可为城市绿地水资源分配制度提供理论依据。 |
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| AbstractList | S274; [目的]探析西北干旱区中小尺度城市绿地灌溉用水需求的时空变化特征,并分析其影响因素.[方法]根据气象数据、根区土壤湿度与地表遥感产品,将净灌溉用水量作为灌溉用水需求估算和影响因素分析的衡量指标,基于根区土壤水平衡原理,构建地块尺度的净灌溉用水量核算模型,并利用分位数随机森林和贝叶斯线性回归模型探讨灌溉用水需求的影响因素.[结果]2022 年研究区绿地日平均净灌溉用水量介于 0.45～0.85 mm,略低于实测值;在时间上,植被生长期间的灌溉用水需求更高;在空间上,植被更茂盛的绿地地块灌溉用水需求更高,呈显著的空间自相关性.[结论]灌溉用水需求的主要影响因素包括根区土壤湿度、地表温度、植被生长状况、日照时间、气温;气象参数和地表遥感产品分别解释了净灌溉用水量变化的 61%和 78%,灌溉用水需求受多方面因素的综合影响.基于地块的绿地灌溉用水需求估算和分析可为城市绿地水资源分配制度提供理论依据. 【目的】探析西北干旱区中小尺度城市绿地灌溉用水需求的时空变化特征，并分析其影响因素。【方法】根据气象数据、根区土壤湿度与地表遥感产品，将净灌溉用水量作为灌溉用水需求估算和影响因素分析的衡量指标，基于根区土壤水平衡原理，构建地块尺度的净灌溉用水量核算模型，并利用分位数随机森林和贝叶斯线性回归模型探讨灌溉用水需求的影响因素。【结果】2022年研究区绿地日平均净灌溉用水量介于0.45~0.85 mm，略低于实测值；在时间上，植被生长期间的灌溉用水需求更高；在空间上，植被更茂盛的绿地地块灌溉用水需求更高，呈显著的空间自相关性。【结论】灌溉用水需求的主要影响因素包括根区土壤湿度、地表温度、植被生长状况、日照时间、气温；气象参数和地表遥感产品分别解释了净灌溉用水量变化的61%和78%，灌溉用水需求受多方面因素的综合影响。基于地块的绿地灌溉用水需求估算和分析可为城市绿地水资源分配制度提供理论依据。 |
| Abstract_FL | [Objective]Plants in most urban areas need irrigation,and understanding their demand for irrigation is important for urban water management.This paper analyzes the spatiotemporal variation in irrigation demand of green spaces in small and medium-sized metropolitan cities in arid areas of Northwest China,as well as the influencing factors.[Method]A net irrigation water accounting model was developed for plot scale by integrating meteorological data,root zone soil moisture,surface quantitative remote sensing data,and the principle of root zone soil water balance.Quantile random forest and Bayesian linear regression models were used to identify key factors that influence irrigation water demand.[Result]① In 2022,the daily average net irrigation water demand of green space plots estimated from the model ranged from 0.45 to 0.85 mm,slightly lower than the measured values.Temporarily,irrigation demand peaked during the vegetation growth period.Spatially,plots with denser,healthier vegetation had high demand for irrigation,showing significant spatial autocorrelation.② Key factors that affect irrigation demand included root zone soil moisture,surface temperature,vegetation growth,sunshine duration and air temperature.Meteorological data and surface remote sensing images explained 61%and 78%of the variation in net irrigation water demand,respectively,highlighting the multifaceted nature of irrigation demand.[Conclusion]Understanding the demand of urban green spaces for irrigation at plot scale has an important implication for urban water resource allocation and improving urban water management. |
| Author | XU, Xinyu ZUO, Jin WU Tianjun SHI Jiening |
| AuthorAffiliation | 长安大学理学院,西安 710064%长安大学土地工程学院,西安 710064%天津大学建筑学院,天津 300354 |
| AuthorAffiliation_xml | – name: 长安大学理学院,西安 710064%长安大学土地工程学院,西安 710064%天津大学建筑学院,天津 300354 |
| Author_FL | WU Tianjun XU Xinyu SHI Jiening ZUO Jin |
| Author_FL_xml | – sequence: 1 fullname: XU Xinyu – sequence: 2 fullname: WU Tianjun – sequence: 3 fullname: ZUO Jin – sequence: 4 fullname: SHI Jiening |
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| ClassificationCodes | S274 |
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| Copyright | 2024. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | land parcel 影响因素 influence factor urban green space 地块 irrigation water demand 城市绿地 灌溉用水需求 |
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| Snippet | 【目的】探析西北干旱区中小尺度城市绿地灌溉用水需求的时空变化特征，并分析其影响因素。【方法】根据气象数据、根区土壤湿度与地表遥感产品，将净灌溉用水量作为灌溉用水需求... S274; [目的]探析西北干旱区中小尺度城市绿地灌溉用水需求的时空变化特征,并分析其影响因素.[方法]根据气象数据、根区土壤湿度与地表遥感产品,将净灌溉用水量作为灌溉用水... |
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| SubjectTerms | Air temperature Bayesian analysis Green infrastructure Irrigation Irrigation water Mathematical models Meteorological data Moisture content Open spaces Regression analysis Regression models Remote sensing Resource allocation Root zone Soil moisture Soil temperature Soil water Surface temperature Urban areas Urban planning Vegetation Vegetation growth Water balance Water demand Water management Water resources |
| Title | 基于地块的城市绿地灌溉用水需求估算及影响因素分析 |
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