Kshipra Sub Basin - Asian Development Bank

Kshipra Sub Basin - Asian Development Bank Kshipra Sub Basin - Asian Development Bank

25.03.2013 Views

Support to the National Water Mission NAPCC Appendix 3 Kshipra Sub Basin 205. During the Rabi season (OND), precipitation is projected to decrease by 13% by mid-century under the A1B scenario, resulting in a 67% decrease in ground water recharge. Evapotranspiration is projected to increase and base flow is projected to decrease. Figure 60 presents the changes in water balance components in percentage form. Average changes over the basin are included in a bar chart and expressed as depths (mm). During this season changes appear large when expressed in percentage terms, but the changes are to small numbers. 206. Annual average streamflow is projected to increase because of climate change, with the largest increase occurring in southwest monsoon period (JJAS). There is a reduction during northeast monsoon (OND). The disproportionate change in average annual streamflow relative to the increase in average annual precipitation, can be attributed to more precipitation falling on saturated soils. Increase in evapotranspiration is more during northwest monsoon period (OND). The bar chart depicts the water balance component averaged over the entire basin as depth in mm, as a result of decrease in rainfall by 13 mm 207. Drought analysis: Drought indices are widely used for the assessment of drought severity by indicating relative dryness or wetness effecting water sensitive economies. The Palmer Drought Severity Index (PDSI) is one such widely used index that incorporates information on rainfall, landuse, and soil properties in a lumped manner (Palmer, 1965 54 ). The Palmer index categorize drought into different classes. PDSI value below 0.0 indicates the beginning of drought situation and with a value below -3.0 as severe drought condition. 208. A soil moisture index has been developed (Narasimhan and Srinivasan, 2005 55 ) to monitor drought severity using SWAT output to incorporate the spatial variability. This has been used to focus on agricultural drought where severity implies cumulative water deficiency. Weekly information has been derived using daily SWAT outputs which in turn have been used for subsequent analysis of drought severity. 209. The severity of drought is proportional to the relative change in climate. For example, if a climate that usually has very nominal deviations from the normal even experiences a moderate dry period, the effects could be quite dramatic. On the other hand, a very dry period would be needed in a climate that is used to large variations to produce equally dramatic effects. In the current context scale 1 (Index between 0 to -1) represent the drought developing stage and scales 2 (Index between -1 to - 4) represent mild to moderate and extreme drought conditions. 210. For the present study, the Soil Moisture Deficit Index (SMDI) was calculated for 30 years of simulated soil moisture data from baseline (1961-1990), MC (2021-2050) and EC (2071-2098). Weeks when the soil moisture deficit may start drought development (drought index value between 0 to -1) as well as the areas which may fall under moderate to extreme drought conditions (drought index value between -1 to -4) have been assessed and are shown in Figure 61.. The indication is that the number of mild developing drought weeks decreases over most of the area to mid-century, but then increases a little towards to end-century. The number of severe drought weeks on the other hand increases a little to mid-century, and significantly to end-century. This is indicative of greater variability in climatic conditions. Thus while on average the water resource situation is projected to improve under the A1B scenario with higher average rainfall, droughts will be more severe when they do occur. 211. The concept of a drought week is reflective of the change in the normal moisture condition of a location. In this sense, if a dry or desert area is analysed which has uniform conditions over a long period, it shall declare all the weeks to be normal weeks since there is no change in the character of the area on the basis of the conditions prevalent in the specific week of the year over a long period e.g., 30 years. 54 Palmer, W.C., 1965. Meteorological drought. Research Paper 45. U.S. Department of Commerce, Weather Bureau, Washington, D.C. 58pp. 55 Narasimhan, B. and Srinivasan, R., 2005. Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring, Agricultural and Forest Meteorology 133 (2005) 69–88 97

Support to the National Water Mission NAPCC Appendix 3 Kshipra Sub Basin Figure 61: Change in Monsoon Drought Weeks with Respect to Baseline 212. Changes in flood discharges: An assessment has been made of changes in simulated maximum daily discharges for each sub-basin. Analysis was directed at identifying the basins where flooding conditions may deteriorate under the A1B scenario. Changes in the magnitude of flood peaks above 99 th percentile flow for baseline (1961-1990), MC (2021-2050) and EC (2071-2098) are shown in Figure 24. Very significant increases are indicated, with the majority of basins showing increases in flood flows of between 45% and 100%. This could have a significant implication for existing infrastructure such as dams, bridges, roads, etc., and will require appropriate adaptation measures to be taken up. The situation changes to certain extent towards the end-century where the extent of increase reduces to around 45 to 65% for the majority of the area. While these changes in runoff response are based on one climate scenario, it is clear that attention must be given to drainage design and flood mitigation design criteria. 98

Support to the National Water Mission NAPCC<br />

Appendix 3 <strong>Kshipra</strong> <strong>Sub</strong> <strong>Basin</strong><br />

Figure 61: Change in Monsoon Drought Weeks with Respect to Baseline<br />

212. Changes in flood discharges: An assessment has been made of changes in simulated<br />

maximum daily discharges for each sub-basin. Analysis was directed at identifying the basins where<br />

flooding conditions may deteriorate under the A1B scenario. Changes in the magnitude of flood peaks<br />

above 99 th percentile flow for baseline (1961-1990), MC (2021-2050) and EC (2071-2098) are shown<br />

in Figure 24. Very significant increases are indicated, with the majority of basins showing increases in<br />

flood flows of between 45% and 100%. This could have a significant implication for existing<br />

infrastructure such as dams, bridges, roads, etc., and will require appropriate adaptation measures to<br />

be taken up. The situation changes to certain extent towards the end-century where the extent of<br />

increase reduces to around 45 to 65% for the majority of the area. While these changes in runoff<br />

response are based on one climate scenario, it is clear that attention must be given to drainage design<br />

and flood mitigation design criteria.<br />

98

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