Analysis of drought characteristics over Luanhe River basin using the joint deficit index

2015 ◽  
Vol 7 (2) ◽  
pp. 340-352 ◽  
Author(s):  
Yixuan Wang ◽  
Jianzhu Li ◽  
Ping Feng ◽  
Rong Hu
Keyword(s):  
River Basin ◽  
Water Resource Management ◽  
Objective Assessment ◽  
Mitigation Strategies ◽  
Northwestern Part ◽  
General Tendency ◽  
Monthly Precipitation ◽  
Luanhe River Basin ◽  
Drought Characteristics ◽  
Joint Deficit Index

In order to describe the overall drought status objectively, a copula-based joint deficit index (JDI) was adopted for analyses of drought characteristics in Luanhe River basin. Monthly precipitation data from 1958 to 2011 selected from 26 rain-gauge stations were used for calculating the JDI. The JDI, which encompasses multiple deficit statuses over time scales from 1 to 12 months by using the 12-dimensional empirical copula, is shown to be capable of providing a comprehensive and objective assessment of droughts. In addition, it is demonstrated that both emerging and prolonged droughts can be captured by the JDI. Results of the drought evaluation over the Luanhe River basin indicate that the frequency of drought occurrence generally increases from northwest to southeast, and droughts observed in summer and autumn are more frequent and severe. Compared with the northwestern part of the area, the drought events in the southeast are characterized by longer duration and greater severity. Furthermore, a general tendency of drying is found in the flood season (July to September) over the basin, with significant aggravating trends in the southeastern part. These related drought characteristics could provide valuable information and references for regional mitigation strategies and water resource management.

scholarly journals THE ANALYSIS OF TEMPORAL VARIABILITY, TREND OF PRECIPITATION AND RIVER DISCHARGE OF KUNDUZ RIVER BASIN, AFGHANISTAN

2020 ◽  
Vol 5 (4) ◽  
pp. 69-78
Author(s):  
Mohammad Hassan HASSANYAR ◽  
Jun-ichiro Giorgos TSUTSUMI ◽  
Ryo NAKAMATSU ◽  
Shir Mohammad OMID
Keyword(s):  
River Basin ◽  
Water Resource ◽  
Water Resource Management ◽  
River Flow ◽  
Monthly Precipitation ◽  
Stream Discharge ◽  
Resource Governance ◽  
Significant Downward Trend ◽  
Management Project ◽  
Negative Implication

The aim of this study is to analyze the trend and variability of precipitation and streamflow in Kunduz River Basin which is located to north-eastern part of Afghanistan. The Mann Kendall and Sen’s Slope statistical test were applied to understand the precipitation variability for 19612010 and about one-decade recorded streamflow respectively. However, the monthly precipitation illustrated significant downward trend in spring months and upward trend in summer season, the calculated annual precipitation represented decreasing trend in the river basin. The statistical analysis of monthly and annual river flow depicted dropping values of stream discharge as well which prove the correlation of both important variables. Therefore, the calculated time series of both hydro-climate elements showed decreasing, the basin experienced drying, the decisionmakers must consider proper water resource management project to reduce the negative implication of the change and boost the temporal water resource governance as well.

scholarly journals Development of an SDG interlinkages analysis model at the river basin scale: a case study in the Luanhe River Basin, China

2022 ◽  
Author(s):  
Xin Zhou ◽  
Mustafa Moinuddin ◽  
Fabrice Renaud ◽  
Brian Barrett ◽  
Jiren Xu ◽  
...  
Keyword(s):  
River Basin ◽  
Water Resource Management ◽  
Analysis Model ◽  
Policy Coherence ◽  
The Sustainable Development ◽  
River Basin Scale ◽  
Luanhe River Basin ◽  
Trade Offs ◽  
Basin Scale

AbstractWhile the Sustainable Development Goals (SDG) are broadly framed with 17 goals, the goals and their targets inherently connect with each other forming a complex system. Actions supporting one goal may influence progress in other goals, either positively (synergies) or negatively (trade-offs). Effective managing the synergies and trade-offs is a prerequisite for ensuring policy coherence. This is particular relevant at the river basin scale where the implementation of national policies may generate inequalities at the sub-basin levels, such as the upstream and the downstream. In the existing literature, there is still a lack of methodologies to assess the SDG interlinkages and their differences at the subnational levels. This paper presents a methodology on the development of an SDG interlinkages analysis model at the basin scale and its application to a case study in China’s Luanhe River Basin (LRB). Seven broad areas, namely land use and land cover change, climate change, ecosystem services, flood risks, water sector, urbanisation, and energy, were set as the scope of study. Through a systematic review, key elements of the SDG interlinkages system were identified and their interactions were mapped. The resulting generic SDG interlinkages model were validated with expert survey and stakeholders’ consultation and tailored to the LRB. Quantification of the SDG interlinkages was conducted for 27 counties in the LRB and demonstrated by the results of 3 selected counties located in the upstream, midstream and downstream areas, respectively. The methodology and its applications can be used to support integrated water resource management in river basins.

Multi-index drought characteristics in Songhua River basin, Northeast China

2019 ◽  
Vol 78 (1) ◽  
pp. 1-19 ◽  
Author(s):  
MA Faiz ◽  
D Liu ◽  
Q Fu ◽  
F Baig ◽  
AA Tahir ◽  
...  
Keyword(s):  
River Basin ◽  
Northeast China ◽  
Songhua River ◽  
Multi Index ◽  
Songhua River Basin ◽  
Drought Characteristics

scholarly journals Evaluating the Spatiotemporal Characteristics of Agricultural Drought in Bangladesh Using Effective Drought Index

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2437 ◽  
Author(s):  
Mohammad Kamruzzaman ◽  
Syewoon Hwang ◽  
Jaepil Cho ◽  
Min-Won Jang ◽  
Hanseok Jeong
Keyword(s):  
Central Region ◽  
Drought Index ◽  
Regional Analysis ◽  
Mitigation Strategies ◽  
Agricultural Drought ◽  
Monthly Precipitation ◽  
Effective Drought Index ◽  
Spatiotemporal Characteristics ◽  
North Western

This study aims to assess the spatiotemporal characteristics of agricultural droughts in Bangladesh during 1981–2015 using the Effective Drought Index (EDI). Monthly precipitation data for 36 years (1980–2015) obtained from 27 metrological stations, were used in this study. The EDI performance was evaluated for four sub-regions over the country through comparisons with historical drought records identified by regional analysis. Analysis at a regional level showed that EDI could reasonably detect the drought years/events during the study period. The study also presented that the overall drought severity had increased during the past 35 years. The characteristics (severity and duration) of drought were also analyzed in terms of the spatiotemporal evolution of the frequency of drought events. It was found that the western and central regions of the country are comparatively more vulnerable to drought. Moreover, the southwestern region is more prone to extreme drought, whereas the central region is more prone to severe droughts. Besides, the central region was more prone to extra-long-term droughts, while the coastal areas in the southwestern as well as in the central and north-western regions were more prone to long-term droughts. The frequency of droughts in all categories significantly increased during the last quinquennial period (2011 to 2015). The seasonal analysis showed that the north-western areas were prone to extreme droughts during the Kharif (wet) and Rabi (dry) seasons. The central and northern regions were affected by recurring severe droughts in all cropping seasons. Further, the most significant increasing trend of the drought-affected area was observed within the central region, especially during the pre-monsoon (March–May) season. The results of this study can aid policymakers in the development of drought mitigation strategies in the future.

Monthly Precipitation Forecast of Jiulong River Basin Based on Association Rule Analysis

2021 ◽  
Author(s):  
Linjiang Nan ◽  
Mingxiang Yang ◽  
Jianqiu Li ◽  
Ningpeng Dong ◽  
Hejia Wang
Keyword(s):  
River Basin ◽  
Association Rule ◽  
Precipitation Forecast ◽  
Monthly Precipitation ◽  
Jiulong River ◽  
Rule Analysis

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 Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG

2020 ◽  
Vol 15 (3) ◽  
pp. 1 ◽  
Author(s):  
Jhones Da Silva Amorim ◽  
Rubens Junqueira ◽  
Vanessa Alves Mantovani ◽  
Marcelo Ribeiro Viola ◽  
Carlos Rogério de Mello ◽  
...  
Keyword(s):  
Resource Management ◽  
River Basin ◽  
Water Resource ◽  
Water Resource Management ◽  
Extreme Values ◽  
Kendall Test ◽  
Hydropower Plant ◽  
Coefficient Of Determination ◽  
Historical Series ◽  
Anderson Darling

 Maximum and minimum streamflow are fundamental for water resource management, especially for water rights. However, lack of monitoring and scarce streamflow data limit such studies. Streamflow regionalization is a useful tool to overcome these limitations. The study developed models for regionalization of the maximum and minimum reference streamflows for the Mortes River Basin (MRB) (Water Resources Planning and Management Unit - GD2), Southern Minas Gerais State. The study used long-term streamflow historical series provided by the Brazilian National Water Agency (ANA). Previous exploratory analysis was performed, and it was observed that the streamflow series are stationary according to the Mann-Kendall test. The estimation of the streamflow for different return periods (RP) was performed by fitting Probability Density Functions (PDFs) that were tested by the Anderson-Darling (AD) test. The Generalized Extreme Values (GEV) and Wakeby were the most appropriate PDFs for maximum and minimum streamflows, respectively. The streamflow models were fitted using a power regression procedure, considering the drainage area of the watersheds as inputs. The fittings reached the coefficient of determination (R2) greater than 0.90. Thus, the streamflow regionalization models demonstrated good performance and are a potential tool to be used for water resource management in the studied basin.

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