本文關(guān)鍵詞： 組合權(quán)重 探索性空間數(shù)據(jù)分析方法 水資源消耗強(qiáng)度 時空格局 中國大陸　出處：《地理研究》2017年05期 　論文類型：期刊論文

【摘要】：基于區(qū)域經(jīng)濟(jì)發(fā)展水平、資源稟賦等地理要素對水資源利用效率的耦合影響,以2003-2013年中國大陸省區(qū)為例,應(yīng)用多種空間權(quán)重方案對省際水資源消耗強(qiáng)度的時空格局進(jìn)行比較分析,針對評價(jià)結(jié)果的不確定性,提出了基于GDP-距離倒數(shù)的改進(jìn)空間權(quán)重方案,并進(jìn)行實(shí)證研究。結(jié)果表明:(1)應(yīng)用對稱性空間賦權(quán)方法,得出的省際水資源強(qiáng)度的空間自相關(guān)特征檢驗(yàn)結(jié)果具有局限性,依據(jù)基于鄰接或距離原則構(gòu)建的空間權(quán)重,評價(jià)結(jié)果不夠穩(wěn)健;(2)應(yīng)用GDP-距離倒數(shù)的組合空間權(quán)重方案,能夠充分體現(xiàn)經(jīng)濟(jì)—地理要素對水資源利用效率的非對稱性影響,所得局部空間自相關(guān)評價(jià)結(jié)果的可靠性提高;(3)在研究時段內(nèi),中國大陸省際居民生活用水強(qiáng)度的時空異質(zhì)性最小,生態(tài)環(huán)境用水強(qiáng)度異質(zhì)性最大,工業(yè)和農(nóng)業(yè)用水強(qiáng)度的時空異質(zhì)性相對較小并且具有顯著的全局空間自相關(guān)特征;(4)省際工業(yè)用水強(qiáng)度具有南北分異特征,局部低—低集聚區(qū)位于黃河以北并且相對穩(wěn)定,高—高集聚區(qū)位于長江以南并趨于弱化;(5)省際農(nóng)業(yè)用水強(qiáng)度的局部高—高集聚、高—低集聚區(qū)位于中國大陸西部,且研究時段內(nèi)表現(xiàn)相對穩(wěn)定。基于GDP-距離倒數(shù)的組合空間權(quán)重方案,能夠同時體現(xiàn)省際經(jīng)濟(jì)水平及空間距離的臨近度,因此可在一定程度上提高相關(guān)研究中評價(jià)結(jié)果的可靠性。
[Abstract]:Based on the coupling effect of regional economic development level, resource endowment and other geographical factors on water resource utilization efficiency, taking the provinces and regions of mainland China from 2003 to 2013 as an example, Based on the uncertainty of evaluation results, an improved spatial weight scheme based on GDP-distance countdown is proposed to compare and analyze the temporal and spatial patterns of water resources consumption intensity among provinces by using various spatial weight schemes. The results show that the spatial autocorrelation characteristic test of provincial water resources intensity obtained by using symmetric spatial weighting method has limitations, and the spatial weight is constructed based on the principle of proximity or distance. The evaluation results are not robust enough) the combined spatial weight scheme of GDP-distance reciprocal can fully reflect the asymmetric influence of economic-geographical factors on water resources utilization efficiency. The reliability of the local spatial autocorrelation evaluation results was improved. (3) in the period of study, the spatial and temporal heterogeneity of domestic water intensity and ecological environment water intensity heterogeneity were the lowest in the interprovincial area of China and the largest in the ecological environment. The spatial and temporal heterogeneity of industrial and agricultural water use intensity is relatively small and has a significant global spatial autocorrelation feature. (4) the inter-provincial industrial water intensity has the characteristics of North-South differentiation, and the local low-low concentration area is located north of the Yellow River and is relatively stable. The high-high agglomeration area is located in the south of the Yangtze River and tends to weaken the inter-provincial agricultural water intensity local high-high agglomeration, and the high-low agglomeration area is located in the western part of the Chinese mainland. The combined spatial weight scheme based on the reciprocal of GDP-distance can simultaneously reflect the economic level of provinces and the proximity of spatial distance, so it can improve the reliability of the evaluation results to some extent.
【作者單位】： 南京大學(xué)地理與海洋科學(xué)學(xué)院;中國南海研究協(xié)同創(chuàng)新中心;
【基金】：國家基礎(chǔ)科學(xué)人才培養(yǎng)基金項(xiàng)目(J1103408)
【分類號】：TV213.4
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本文編號：1523193