VEGETATION IN THE LUANHE RIVER BASIN AND SURROUNDING AREAS

2005 ◽  
Vol 29 (3) ◽  
pp. 444-456 ◽  
Author(s):  
XU Qing-Hai ◽  
◽  
YANG Zhen-Jing ◽  
YANG Xiao-Lan ◽  
LI Yue-Cong ◽  
...  
Keyword(s):  
River Basin ◽  
Luanhe River Basin ◽  
Surrounding Areas

scholarly journals Meteorological and hydrological droughts in Mekong River Basin and surrounding areas under climate change

2021 ◽  
Vol 36 ◽  
pp. 100873
Author(s):  
Yishan Li ◽  
Hui Lu ◽  
Kun Yang ◽  
Wei Wang ◽  
Qiuhong Tang ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Mekong River ◽  
Mekong River Basin ◽  
Surrounding Areas ◽  
Hydrological Droughts

scholarly journals Modelling land system evolution and dynamics of terrestrial carbon stocks in the Luanhe River Basin, China: a scenario analysis of trade-offs and synergies between sustainable development goals

2021 ◽  
Author(s):  
Jiren Xu ◽  
Fabrice G. Renaud ◽  
Brian Barrett
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Land Cover ◽  
River Basin ◽  
Urban Growth ◽  
Sustainable Development Goals ◽  
Luanhe River Basin ◽  
Land System ◽  
Trade Offs ◽  
Development Goals

AbstractA more holistic understanding of land use and land cover (LULC) will help minimise trade-offs and maximise synergies, and lead to improved future land use management strategies for the attainment of Sustainable Development Goals (SDGs). However, current assessments of future LULC changes rarely focus on the multiple demands for goods and services, which are related to the synergies and trade-offs between SDGs and their targets. In this study, the land system (combinations of land cover and land use intensity) evolution trajectories of the Luanhe River Basin (LRB), China, and major challenges that the LRB may face in 2030, were explored by applying the CLUMondo and InVEST models. The results indicate that the LRB is likely to experience agricultural intensification and urban growth under all four scenarios that were explored. The cropland intensity and the urban growth rate were much higher under the historical trend (Trend) scenario compared to those with more planning interventions (Expansion, Sustainability, and Conservation scenarios). Unless the forest area and biodiversity conservation targets are implemented (Conservation scenario), the forest areas are projected to decrease by 2030. The results indicate that water scarcity in the LRB is likely to increase under all scenarios, and the carbon storage will increase under the Conservation scenario but decrease under all other scenarios by 2030. Our methodological framework and findings can guide regional sustainable development in the LRB and other large river basins in China, and will be valuable for policy and planning purposes to the pursuance of SDGs at the sub-national scale.

scholarly journals Study on the streamflow compensation characteristics of reservoirs in Luanhe River Basin based on Copula function

2021 ◽  
Author(s):  
Fang Wan ◽  
Lingfeng Xiao ◽  
Qihui Chai ◽  
Li Li
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
River Basin ◽  
Rapid Development ◽  
Supply And Demand ◽  
Copula Function ◽  
Efficient Utilization ◽  
Mutual Compensation ◽  
Luanhe River Basin ◽  
Yuqiao Reservoir

Abstract With the rapid development of economy and society, the contradiction between supply and demand of water resources is increasing. Efficient utilization and allocation of limited water resources are one of the main means to solve the above contradictions. In this paper, the multidimensional joint distribution of natural streamflow series in reservoirs is constructed by introducing the mixed Copula function, and the probability of wet and dry encounters between natural streamflow is analyzed. Luan River is located in the northeastern part of Hebei Province, China, taking the group of Panjiakou Reservoir, Douhe Reservoir and Yuqiao Reservoir in the downstream of Luan River Basin as an example, the probabilities of synchronous and asynchronous abundance and depletion of inflow from the reservoirs are calculated. The results show that the probability of natural streamflow series between reservoirs is 61.14% for wetness and dryness asynchronous, which has certain mutual compensation ability. Therefore, it is necessary to minimize the risk of water supply security in Tianjin, Tangshan and other cities, and strengthen the optimal joint water supply scheduling of reservoirs. The research results are reasonable and reliable, which can provide reference for water supply operation of other basins.

Water supply risk analysis of Panjiakou reservoir in Luanhe River basin of China and drought impacts under environmental change

2019 ◽  
Vol 137 (3-4) ◽  
pp. 2393-2408 ◽  
Author(s):  
Jianzhu Li ◽  
Zhenxing Gao ◽  
Yuangang Guo ◽  
Ting Zhang ◽  
Peizhen Ren ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Environmental Change ◽  
Water Supply ◽  
River Basin ◽  
Supply Risk ◽  
Luanhe River Basin ◽  
Drought Impacts ◽  
Water Supply Risk

Drought forecasting in Luanhe River basin involving climatic indices

2016 ◽  
Vol 130 (3-4) ◽  
pp. 1133-1148 ◽  
Author(s):  
Weinan Ren ◽  
Yixuan Wang ◽  
Jianzhu Li ◽  
Ping Feng ◽  
Ronald J. Smith
Keyword(s):  
River Basin ◽  
Drought Forecasting ◽  
Climatic Indices ◽  
Luanhe River Basin

scholarly journals Spatio-temporal variation analysis of hydrochemical characteristics in the Luanhe River Basin, China

2013 ◽  
Vol 67 (6) ◽  
pp. 1332-1338 ◽  
Author(s):  
Ying Xie ◽  
Xuyong Li ◽  
Huiliang Wang ◽  
Wenzan Li
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Temporal Variation ◽  
River Water ◽  
River Basin ◽  
Pollution Control ◽  
Spatial And Temporal Variation ◽  
Hydrochemical Characteristics ◽  
Water Pollution Control ◽  
Luanhe River Basin

The analysis of river pollution and assessment of spatial and temporal variation in hydrochemistry are essential to river water pollution control in the context of rapid economic growth and growing pollution threats in China. In this study, we focused on hydrochemical characteristics of the Luanhe River Basin (China) and evaluation of 12 hydrochemical variables obtained from 32 monitoring stations during 2001–2010. In each study year, the streams were monitored in the three hydrological periods (April, August, and October) to observe differences in the impacts of agricultural activity and rainfall pattern. Multivariate statistical methods were applied to the data set, and the river water hydrochemical characteristics were assessed using the water quality identification index (WQIIM). The results showed that parameters had variable contribution to water quality status in different months except for ammonia nitrogen (NH4-N) and total nitrogen (TN), which were the most important parameters in contributing to water quality variations for all three periods. Results of WQIIM revealed that 18 sites were classified as 'meeting standard' while the other 14 sites were classified as 'not meeting standard', with most of the seriously polluted sites located in urban area, mainly due to discharge of wastewater from domestic and industrial sources. Sites with low pollution level were located primarily in smaller tributaries, whereas sites of medium and high pollution levels were in the main river channel and the larger tributaries. Our findings provide valuable information and guidance for water pollution control and water resource management in the Luanhe River Basin.

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