Analysis for spatial-temporal matching pattern between water and land resources in Central Asia

Central Asia, the pioneering place of the ‘Belt and Road’, is under the threat of prominent water issues. Based on the Gini coefficient model and the matching index, the amount of the total renewable water resources and the cultivated land area were introduced to evaluate the matching pattern betwee...

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Main Authors: Ying Zhang, Zhengxiao Yan, Jinxi Song, Anlei Wei, Haotian Sun, Dandong Cheng
Format: Article
Language:English
Published: IWA Publishing 2020-10-01
Series:Hydrology Research
Subjects:
Online Access:http://hr.iwaponline.com/content/51/5/994
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spelling doaj-6bc8af9a617944338df73b50f8031b4c2020-12-17T06:40:29ZengIWA PublishingHydrology Research1998-95632224-79552020-10-01515994100810.2166/nh.2020.177177Analysis for spatial-temporal matching pattern between water and land resources in Central AsiaYing Zhang0Zhengxiao Yan1Jinxi Song2Anlei Wei3Haotian Sun4Dandong Cheng5 Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China Central Asia, the pioneering place of the ‘Belt and Road’, is under the threat of prominent water issues. Based on the Gini coefficient model and the matching index, the amount of the total renewable water resources and the cultivated land area were introduced to evaluate the matching pattern between the water and land resources in Central Asia. The water problem of Kazakhstan, being the most prominent, shows low water resources per unit area with the highest reclamation rate. The matching degree for the upstream countries of the Aral Sea (Kyrgyzstan, Tajikistan) was better than those of the downstream countries (Turkmenistan, Uzbekistan, Kazakhstan). The Gini coefficient in Central Asia was 0.32, smaller than that of the global average value (0.59). The overall water available for use and the matching cultivated land resources was reasonable. Large differences exist in the matching degree in water distribution and utilization among Central Asian countries. The matching index of water and land resources in Central Asia was 1.25, similar to the matching degree estimated from the Gini coefficient model. Moreover, rational measures are suggested to alleviate the issue of water and land resources matching in Central Asia. HIGHLIGHTS The Gini coefficient model is to evaluate the overall level of matching degree.; The matching index model is introduced for evaluating the spatial matching pattern.; The matching situation for the upstream countries of the Aral Sea was better than those of the downstream countries.; Two models perform similarly in matching pattern.; The matching index of water and land resources in Central Asia was 1.25.;http://hr.iwaponline.com/content/51/5/994arcgisspatial and temporal patternwater and land resources matchingwater distribution and utilization
collection DOAJ
language English
format Article
sources DOAJ
author Ying Zhang
Zhengxiao Yan
Jinxi Song
Anlei Wei
Haotian Sun
Dandong Cheng
spellingShingle Ying Zhang
Zhengxiao Yan
Jinxi Song
Anlei Wei
Haotian Sun
Dandong Cheng
Analysis for spatial-temporal matching pattern between water and land resources in Central Asia
Hydrology Research
arcgis
spatial and temporal pattern
water and land resources matching
water distribution and utilization
author_facet Ying Zhang
Zhengxiao Yan
Jinxi Song
Anlei Wei
Haotian Sun
Dandong Cheng
author_sort Ying Zhang
title Analysis for spatial-temporal matching pattern between water and land resources in Central Asia
title_short Analysis for spatial-temporal matching pattern between water and land resources in Central Asia
title_full Analysis for spatial-temporal matching pattern between water and land resources in Central Asia
title_fullStr Analysis for spatial-temporal matching pattern between water and land resources in Central Asia
title_full_unstemmed Analysis for spatial-temporal matching pattern between water and land resources in Central Asia
title_sort analysis for spatial-temporal matching pattern between water and land resources in central asia
publisher IWA Publishing
series Hydrology Research
issn 1998-9563
2224-7955
publishDate 2020-10-01
description Central Asia, the pioneering place of the ‘Belt and Road’, is under the threat of prominent water issues. Based on the Gini coefficient model and the matching index, the amount of the total renewable water resources and the cultivated land area were introduced to evaluate the matching pattern between the water and land resources in Central Asia. The water problem of Kazakhstan, being the most prominent, shows low water resources per unit area with the highest reclamation rate. The matching degree for the upstream countries of the Aral Sea (Kyrgyzstan, Tajikistan) was better than those of the downstream countries (Turkmenistan, Uzbekistan, Kazakhstan). The Gini coefficient in Central Asia was 0.32, smaller than that of the global average value (0.59). The overall water available for use and the matching cultivated land resources was reasonable. Large differences exist in the matching degree in water distribution and utilization among Central Asian countries. The matching index of water and land resources in Central Asia was 1.25, similar to the matching degree estimated from the Gini coefficient model. Moreover, rational measures are suggested to alleviate the issue of water and land resources matching in Central Asia. HIGHLIGHTS The Gini coefficient model is to evaluate the overall level of matching degree.; The matching index model is introduced for evaluating the spatial matching pattern.; The matching situation for the upstream countries of the Aral Sea was better than those of the downstream countries.; Two models perform similarly in matching pattern.; The matching index of water and land resources in Central Asia was 1.25.;
topic arcgis
spatial and temporal pattern
water and land resources matching
water distribution and utilization
url http://hr.iwaponline.com/content/51/5/994
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