A Statistical–Distributed Model of Average Annual Runoff for Water Resources Assessment in DPR Korea

Ri, Tongho; Jiang, Jiping; Sivakumar, Bellie; Pang, Toh Yen

doi:10.3390/w11050965

Cited by 6 publications

(6 citation statements)

References 49 publications

(30 reference statements)

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“…Mean runoff coefficients are most strongly correlated to the indicators representing climate such as mean annual precipitation and the long-term ratio of actual evaporation to precipitation through affecting long-term soil moisture. This can be seen on global (McMahon, Peel, Pegram, & Smith, 2011), continental (Karamage et al, 2018), and country scales (Merz & Blöschl, 2009;Ri, Jiang, Sivakumar, & Pang, 2019). Land use, soil types, and geology do not seem to exert a major control on runoff coefficients on these spatial scales.…”

Section: Introductionmentioning

confidence: 97%

Spatial distribution of specific runoff in Serbia based on rainfall-runoff relationship

Urošev

Strbac

Kovacevic-Majkic

et al. 2020

J GEOGR INST CVIJIC

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One of the indicators of water potential and water resources is specific runoff. Specific runoff for the whole territory of Serbia was obtained using the exponential relation between depth of runoff Y (mm) and precipitation P (mm). This relation is obtained on the basis of the mean annual amount of precipitation and annual water discharge, namely the depth of the runoff for 69 basins for the period 1961-2010. Coefficient of determination (R?) of relation between the depth of runoff and precipitation is 0.72. The differences between measured and modeled values of specific runoff vary from basin to basin, but at the level of the whole Serbia it is 3.5%. More precisely, the measured specific runoff amounts 5.6 l/s/km2, and the modeled specific runoff is 5.7 l/s/km2. The verification was done by applying the model to 11 large river basins in Serbia. Spatial distribution of the modeled specific runoff is presented by a digital map of specific runoff with pixel resolution 100 ? 100 m which enables the estimation of mean annual water discharge in any ungauged basin in Serbia.

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Section: Introductionmentioning

confidence: 97%

Spatial distribution of specific runoff in Serbia based on rainfall-runoff relationship

Urošev

Strbac

Kovacevic-Majkic

et al. 2020

J GEOGR INST CVIJIC

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“…Similarly, a study conducted for Lasica catchment in Poland used MKT and Cumulative Sum (CUSUM) test for long‐term trend analysis of precipitation, air temperature, potential evapotranspiration, streamflow, and groundwater level and found a significant effect in the form of reduction in groundwater recharge, increased evapotranspiration which in turn resulted in reduced runoff (Somorowska, 2017). Average annual precipitation, intensity, air temperature and seasonal air temperature were identified as the major factors influencing runoff using correlation, residual error, and principal component analysis in a study for North Korea (Ri et al, 2019). The study developed an empirical hydrological model to assess the runoff patterns and tested the same for the Tumen River basin for water resource computation.…”

Section: Impact Of Climate Change On Streamflow Groundwater Extreme E...mentioning

confidence: 99%

Understanding synergies and tradeoffs between forests, water, and climate change

et al. 2022

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Understanding synergies and trade-offs between forests, water, and climate change is warranted for designing effective policies and strategies for managing water and forests, which are essential for sustenance, ecological proliferation, and economic development. Forests are considered global storehouse of resources, functioning as ecosystem service providers, such as recyclers of terrestrial water to maintain quality and quantity of water but are constantly regulated by climatic parameters. These interlinkages are further complicated by the highly debated role of forests in water regulation and consumption, anthropogenic changes in land use, changing climatic patterns and their subsequent impacts on the hydrological cycle. However, policy and planning for natural resource management seldom consider the interrelationships between forest, water, and climate change due to lack of consensus, misrepresentations and difficult conversions of the complicated interactions to policy. We review and discuss the existing research on these interrelationships with different approaches using a range of hydrological, climatic, and land use indicators.We further suggest incorporating long-term data for forest, water, and climate into conceptual, statistical, and stochastic models may yield better projections with fewer uncertainties rather than those focusing on linear interactions between paired components. Thus, there is a need for exploring these interactions holistically rather than in silos from the perspective of natural resource management particularly in developing nations such as India that have a pressing need to develop new and synergize existing strategies for sustainable management of forest and water under changing climatic variables.

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“…Pada pemodelan hidrologi, persamaan neraca air dapat menganalisis debit limpasan pada suatu DAS ataupun DTA (Ri et al, 2019)…”

Section: Neraca Airunclassified

Prediksi Debit Aliran Masuk Ke Telaga Menjer Menggunakan Persamaan Neraca Air Dan Pemodelan Hec-HMS

Pratama

Ikhsan

Apip

2021

JTH

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The Menjer lake is the main source for Hydroelectric Power Plant of the PLTA Garung. Information about the water balance and the potential of existing water resources in the Menjer Catchment Area (DTA) is needed to obtain an efficient operating pattern, the sustainability of the Garung hydropower plant, and good management of the Menjer Lake. The purpose of this study was to estimate the inflow of three main rivers in the Menjer catchment area using HEC-HMS hydrological and water balance approach. Simulated results of the HEC-HMS model shows that the average of total the inflows of three main rivers to the Menjer lake in 2017, 2018 and 2019 during rainy season are 0.954 m3/s, 0.944 m3/s, and 1.017 m3/s, and during dry season are 0.820 m3/s, 0.783 m3/s, and 0.80 m3/s, respectively. While the prediction results of the discharge with the equation of the water balance shows that the average of total river inflows to the Menjer lake during rainy season is 2017 is 1.628 m3/s, in 2018 it is 1.579 m3/s, and in 2019 it is 3.296 m3/s and during dry season is 1.893 m3/s in 2017, 1.176 m3/s tahun 2018, and 1.893 m3/s in 2019. These results indicate that the results of discharge modeling with HEC-HMS are smaller than those predicted by the water balance equation. The study concluded that HEC-HMS could be used to predict daily inflows. However, further calibration and validation need to be carried out by recommending installing a river flow monitoring station at each river outlet.Keywords: water balance HEC-HMS, inflow prediction

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A Statistical–Distributed Model of Average Annual Runoff for Water Resources Assessment in DPR Korea

Cited by 6 publications

References 49 publications

Spatial distribution of specific runoff in Serbia based on rainfall-runoff relationship

Spatial distribution of specific runoff in Serbia based on rainfall-runoff relationship

Understanding synergies and tradeoffs between forests, water, and climate change

Prediksi Debit Aliran Masuk Ke Telaga Menjer Menggunakan Persamaan Neraca Air Dan Pemodelan Hec-HMS

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