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基于干旱熒光監(jiān)測(cè)指數(shù)的海河流域干旱監(jiān)測(cè)研究
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國(guó)家自然科學(xué)基金面上項(xiàng)目(42171212),、河北省自然科學(xué)基金項(xiàng)目(D2022402030)和宿遷市科技計(jì)劃資助項(xiàng)目(K202355)


Drought Monitoring in Haihe River Basin Based on Drought Fluorescence Monitoring Index
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    摘要:

    海河流域是我國(guó)重要的農(nóng)業(yè)生產(chǎn)區(qū),及時(shí)準(zhǔn)確掌握干旱時(shí)空特征對(duì)農(nóng)業(yè)水資源管理及糧食安全具有重要意義,?;谌展庹T導(dǎo)葉綠素?zé)晒猓⊿un-induced chlorophyll fluorescence,SIF),、地表溫度(Land surface temperature,,LST)、降水量以及土壤濕度(Soil moisture,,SM)數(shù)據(jù),,構(gòu)建了綜合考慮植被長(zhǎng)勢(shì)、溫度,、降水量以及土壤含水率的海河流域干旱熒光監(jiān)測(cè)指數(shù)(Drought fluorescence monitoring index,,DFMI),同時(shí)利用已有干旱指數(shù)和站點(diǎn)土壤含水率對(duì)其精度進(jìn)行了評(píng)價(jià),并利用趨勢(shì)分析和游程理論等方法分析了2001—2021年該流域DFMI時(shí)空演變特征及其干旱頻率,、干旱歷時(shí)和干旱強(qiáng)度等特征變量的空間分布,。結(jié)果表明:DFMI與SM、自適應(yīng)帕爾默干旱指數(shù)(Self calibrating Palmer drought severity index,,scPDSI),、標(biāo)準(zhǔn)化降水蒸散指數(shù)(Standardized precipitation evapotranspiration index,SPEI)(1個(gè)月(SPEI01),、3個(gè)月(SPEI03),、6個(gè)月(SPEI06)、9個(gè)月(SPEI09),、12個(gè)月(SPEI12))的相關(guān)系數(shù)分別為0.58,、0.64、0.73,、0.52,、0.44、0.47和0.49,。與12個(gè)站點(diǎn)土壤含水率相關(guān)性均通過了0.05顯著性水平檢驗(yàn),,表明DFMI適用于流域干旱監(jiān)測(cè)。2001—2021年海河流域DFMI年均值呈顯著上升趨勢(shì),,上升速率為0.009 7/a(p<0.05),。秋季上升速率最大(0.013 1/a,p<0.05),,春季最?。?.007 7/a,p<0.05),。海河流域年DFMI呈現(xiàn)顯著上升趨勢(shì)(p<0.05)面積占比達(dá)99.18%,,春季、夏季,、秋季,、冬季DFMI呈顯著上升趨勢(shì)面積占比分別為38.36%、63.42%,、58.96%和50.26%,,主要分布在流域西北部。2001—2021年海河流域干旱頻次高發(fā)區(qū)域(30~37次)主要集中在流域南部,,平均干旱歷時(shí)高值區(qū)(5~10.2個(gè)月)主要集中在流域北部,,干旱強(qiáng)度高值區(qū)(0.30~0.37)分布在流域中部和東南部。研究結(jié)果可為流域水資源管理及其防旱抗旱提供科學(xué)依據(jù),。

    Abstract:

    The Haihe River Basin is a crucial agricultural production region in China, and understanding the temporal and spatial characteristics of drought is vital for managing agricultural water resources and ensuring food security. Drought fluorescence monitoring index (DFMI) for the Haihe River Basin was constructed-based on the sun-induced chlorophyll fluorescence (SIF), land surface temperature (LST), precipitation, and soil moisture (SM). This index comprehensively integrated vegetation growth, temperature, precipitation, and soil moisture content to monitor drought conditions. At the same time, the accuracy of the DFMI was evaluated by using existing drought indices and soil moisture data from monitoring stations. Additionally, trend analysis and run theory were employed to analyze the temporal and spatial evolution characteristics of the DFMI in the Haihe River Basin from 2001 to 2021, as well as the spatial distribution of variables such as drought frequency, drought duration, and drought intensity. Results indicated that the correlation coefficients between DFMI and SM, self-calibrating Palmer drought severity index (scPDSI), standardized precipitation evapotranspiration index (SPEI) (SPEI01, SPEI03, SPEI06, SPEI09, SPEI12) were 0.58, 0.64, 0.73, 0.52, 0.44, 0.47 and 0.49, respectively. The correlation between DFMI and SM at 12 sites passed the 0.05 significance level test, indicating that DFMI was suitable for drought monitoring in the Haihe River Basin. The annual mean value of DFMI in the Haihe River Basin exhibited a significant increasing trend from 2001 to 2021, with an increase rate of 0.009 7/a (p<0.05). The highest increase rate was observed in autumn (0.013 1/a, p<0.05), and the lowest in spring (0.007 7/a, p<0.05). The annual DFMI in Haihe River Basin showed a significant upward trend (p<0.05), with 99.18% of the area exhibiting this trend. In spring, summer, autumn, and winter, the area showed a significant upward trend in DFMI accounted for 38.36%, 63.42%, 58.96%, and 50.26%, respectively, with most of these areas located in the northwest of the basin. From 2001 to 2021, areas with high drought frequency (30 to 37 times) were mainly concentrated in the southern part of the Haihe River Basin. Regions with high average drought duration (5 to 10.2 months) were found in the northern part, and areas with high drought intensity (0.30 to 0.37) were found in the central and southeastern parts of the basin. These findings can provide scientific evidence for water resource management and drought prevention and mitigation in the basin.

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趙安周,韓曉冉,劉憲鋒,張未,王雅慧,李慕義.基于干旱熒光監(jiān)測(cè)指數(shù)的海河流域干旱監(jiān)測(cè)研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2025,56(3):458-466. ZHAO Anzhou, HAN Xiaoran, LIU Xianfeng, ZHANG Wei, ANG Yahui, LI Muyi. Drought Monitoring in Haihe River Basin Based on Drought Fluorescence Monitoring Index[J]. Transactions of the Chinese Society for Agricultural Machinery,2025,56(3):458-466.

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  • 收稿日期:2024-09-20
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  • 在線發(fā)布日期: 2025-03-10
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